Blueprint of the Common European Energy Data Space

Bluep in o he Common
Eu opean Ene gy Da a Space
Ve sion 3.0
Sep embe 2025
Bluep in o he CEEDS 2
PUBLISHER COPYRIGHT
DOI
10.5281/zenodo.17116750
AUTHORS
Albe o Dognini (F aunho e FIT)
Ludwig Ka g (B.A.U.M.)
An onello Mon i (F aunho e FIT, RWTH Aachen)
Maa en Kollens a (TNO)
An onio Kung (T ialog)
Maide San os Mugica (Tecnalia)
A u o Medela (E iden)
Ma c Ku z (FH Hagenbe g)
Cha ukeshi Jogleka (F aunho e FIT)
Ma ion A les (Gi e e)
Ca los Ayon Mac G ego (B.A.U.M)
Ma kus S oo (F aunho e FIT)
P ana Jayan Kulka ni (F aunho e FIT)
Apos olos Papa agkakis (Que Technologies)
Ch is oph Scha e (FH Hagenbe g)
Ma ina Galluccio (RINA)
Daniele S ampa o i (EUI)
Massimo Be oncini (Enginee ing)
Diana Jimenez (T ialog)
Mau izio Fan ino (Links Founda ion)
E ik Maqueda (Tecnalia)
Oli e Hödl (FH Hagenbe g, Uni e si y o Vienna)
Fabio Coelho (INESC TEC)
Oli ie Genes (T ialog)
Flo ian Mancel (EDF)
Rica do Bessa (INESC TEC)
Fo oogh Sedighi (RWTH Aachen)
Ri a Do nmai (B.A.U.M.)
Geo g Ha ne (En a c.eu GmbH)
Sonia Jimenez (IDSA)
Gianluca Lipa i (EPRI)
Tasos Tsi sanis (Sui e5)
Ja ie Valiño (E iden)
Thomas S asse (AIT)
Joseba Jimeno Hua e (Tecnalia)
Volke Be khou (F aunho e IEE)
Laia Gui a (E.DSO)
Lau en Schmi (Digi al4G ids)
Leona do Ca e as (RWTH Aachen)
In e ope abili y Ne wo k o he Ene gy
T ansi ion (in :ne )
c/o F aunho e -Gesellscha zu Fö de ung
de angewand en Fo schung e. V.
Hansas asse 27c, 80686 Munich
Ge many
Bluep in o he Common Eu opean
Ene gy Da a Space © 2024 by
In e ope abili y Ne wo k o he Ene gy
T ansi ion (in :ne ) is licensed unde
CC BY 4.0
Bluep in o he CEEDS 3
The esea ch leading o hese esul s has ecei ed unding om
he Eu opean Union’s Ho izon Eu ope Resea ch and
Inno a ion P og amme, unde G an Ag eemen s no
101070086, 101069831, 101069694, 101069839, 101069287
and 101069510.
Bluep in o he CEEDS 4
CONTENTS
1. In oduc ion ..................................................................................................................................... 6
1.1. Scope ....................................................................................................................................... 6
2. Da a Spaces Concep ..................................................................................................................... 9
2.1. O e all S a egies .................................................................................................................. 10
2.2. De ining Da a Spaces Ac oss Di e se Uses ......................................................................... 10
3. Business Use Cases o Ene gy ................................................................................................... 13
3.1. Use case #1 - “Collec i e sel -consump ion and op imized sha ing o ene gy communi ies”
17
3.1.1. Scopes ........................................................................................................................... 17
3.1.2. Desc ip ion ..................................................................................................................... 17
3.1.3. Scena ios ....................................................................................................................... 18
3.2. Use case #2 – “Residen ial home ene gy managemen in eg a ing DER lexibili y
agg ega ion” ...................................................................................................................................... 21
3.2.1. Scopes ........................................................................................................................... 21
3.2.2. Desc ip ion ..................................................................................................................... 21
3.2.3. Scena ios ....................................................................................................................... 22
3.3. Use case #3 - “TSO-DSO coo dina ion o lexibili y” ............................................................ 24
3.3.1. Scope ............................................................................................................................. 24
3.3.2. Desc ip ion ..................................................................................................................... 24
3.3.3. Scena ios ....................................................................................................................... 26
3.4. Use-case #4 - “Elec omobili y: se ices oaming, load o ecas ing and schedule planning” 29
3.4.1. Scopes ........................................................................................................................... 29
3.4.2. Desc ip ion ..................................................................................................................... 30
3.4.3. Scena ios ....................................................................................................................... 31
3.5. Use case #5 – “Renewables O&M op imiza ion and g id in eg a ion” ................................... 33
3.5.1. Scopes ........................................................................................................................... 33
3.5.2. Desc ip ion ..................................................................................................................... 33
3.5.3. Scena ios ....................................................................................................................... 34
3.6. Ne wo k codes equi emen s ................................................................................................. 37
Bluep in o he CEEDS 5
4. P oposed A chi ec u e o CEEDS ................................................................................................ 39
4.1. Componen s o he Da a Space Fede a ed Side................................................................... 43
5. EDSCP Implemen a ion De ails .................................................................................................... 48
5.1. Ene gy Da aspace Clus e P ojec s ...................................................................................... 48
5.2. Technical Building Blocks Implemen a ions ac oss P ojec s ................................................ 50
5.3. Business Use Case Realiza ion in CEEDS A chi ec u e ....................................................... 56
5.4. Da a alue c ea ion aspec s .................................................................................................. 63
6. CEEDS Go e nance ..................................................................................................................... 66
6.1. Main Go e nance building blocks.......................................................................................... 66
6.2. EDSCP Implemen a ions ....................................................................................................... 67
7. In e ope abili y Aspec s ................................................................................................................ 71
7.1.1. Technical In e ope abili y ............................................................................................... 71
7.1.1.1. Building Blocks .............................................................................................................. 71
7.1.1.2. Ac o s ............................................................................................................................. 72
7.1.1.3. Da a Fo ma s ................................................................................................................. 73
7.1.1.4. Da a ansmission p o ocols .......................................................................................... 73
7.1.2. Seman ic In e ope abili y ............................................................................................... 74
7.1.3. Go e nance in e ope abili y .......................................................................................... 75
7.1.4. Fos e ing In e ope abili y in O ganiza ions .................................................................... 81
7.1.5. Joining Fo ces on In e ope abili y.................................................................................. 82
8. Conclusions .................................................................................................................................. 83
9. Re e ences .................................................................................................................................... 86
10. Lis o Figu es ............................................................................................................................... 88
11. Lis o Tables ................................................................................................................................. 89
12. Lis o Abb e ia ions...................................................................................................................... 90
13. Glossa y ........................................................................................................................................ 92

Bluep in o he CEEDS 6
1. In oduc ion
The shi in he ene gy sec o , ou lined as a key aspec o he G een Deal and de ailed in he
REPowe EU plan, necessi a es a widesp ead subs i u ion o ossil- uel-based powe gene a ion wi h
low-CO2 echnologies. Al hough subs an ial p og ess has been made owa ds mee ing he a ge s,
achie ing a comple e ans o ma ion emains a leng hy and in ica e p ocess. Cen al o his
ans o ma ion is he elec ical g id, which al eady plays a c ucial ole in acili a ing ou con empo a y
li es yle. Howe e , i s signi icance has now heigh ened due o he inc eased elec i ica ion o sec o s
like mobili y as well as empe a u e con ol o buildings. Now mo e han e e , Eu ope equi es an
elec ical ne wo k ha is esilien , cybe -secu e, lexible, and eliable. Mee ing his demand is con ingen
on he implemen a ion o ad anced au oma ion and powe low op imisa ion solu ions as well as he
comp ehensi e digi aliza ion o en i e ene gy sys ems.
Da a spaces play a pi o al ole in ad ancing he digi aliza ion o elec ical ene gy sys ems, ushe ing in
a new e a o e iciency, eliabili y, and sus ainabili y. In ac , da a spaces add ess bo h he new business
oppo uni ies as well as he exis ing echnical challenges. As he ene gy landscape unde goes a
p o ound ans o ma ion, cha ac e ized by he in eg a ion o enewable sou ces, elec i ica ion o a ious
sec o s, and a g owing emphasis on deca boniza ion, he need o in elligen and in e connec ed
sys ems becomes inc easingly e iden . Mo eo e , da a spaces acili a e p edic i e analy ics, enabling
p oac i e main enance and educing down ime in c i ical componen s o he elec ical g id. Addi ionally,
da a spaces suppo he deploymen o ad anced au oma ion and g id capaci y op imisa ion solu ions,
enabling adap i e and esponsi e g ids ha can dynamically adjus o changing ene gy demands and
supply condi ions. Fu he mo e, he in e connec ed na u e o da a spaces p omo es collabo a ion
among a ious s akeholde s, including u ili ies, egula o s, echnology p o ide s, and consume s. This
collabo a i e en i onmen os e s inno a ion, accele a es he de elopmen o sma echnologies, and
ensu es a mo e inclusi e and pa icipa o y app oach o he ene gy ansi ion. Hence, da a spaces
eme ge as ca alys s o he digi al ans o ma ion o elec ical ene gy sys ems, o e ing a comp ehensi e
and in e connec ed app oach o managing he complexi ies o mode n ene gy landscapes. Th ough he
in eg a ion o da a spaces, he ene gy sec o can ha ness he powe o in o ma ion o build esilien ,
e icien , and sus ainable elec ical sys ems o he u u e.
1.1. Scope
This documen add esses he concep o a Common Eu opean Ene gy Da a Space (CEEDS), p o iding
de ailed app oaches and ecommenda ions o i s eal-wo ld ealiza ion. In pa icula , he main objec i e
o his bluep in is o guide on enhancing he exis ing da a in as uc u es, he ene gy domain, owa ds
he ull emb acemen o da a space solu ions. B idging his gap will empowe he in oduc ion o no el
ene gy se ices, which will inc ease he e iciency and eliabili y o he ene gy sys ems while p o iding
subs an ial bene i s o e e y s akeholde .
The key scope o his documen is o p esen (i) a amewo k o new economically easible business
use cases and (ii) he gene al da a space a chi ec u e ha can enable hem. This a chi ec u e aims o
Bluep in o he CEEDS 7
in e connec he exis ing da a in as uc u es, composed o a di e si y o he e ogeneous sys ems
ope a ed by di e en ac o s, wi h ede a ed da a spaces; a his scope, echnical speci ica ions ha e
been included.
in :ne has coope a ed wi h he sis e p ojec s, o ming he Ene gy Da a Space Clus e P ojec s
(EDSCP), and he ene gy communi y o iden i y he speci ic e ical capabili ies ha a e needed in an
ene gy da a space. The esul is he CEEDS a chi ec u e bluep in ha mee s he need o he domain.
The objec i e in he u u e is ha he CEEDS a chi ec u e is a specializa ion o he manda o y pa o
he Da aspace Suppo Cen e (DSSC) and o u u e da a space s anda ds. This will equi e u he
coo dina ion wi h u u e ini ia i es o con e gence, e.g., a desc ip ion o DSSC s uc u ed in o a
e e ence pa and a pa e n pa as ecommended in cu en s anda ds on e e ence a chi ec u es
(ISO/IEC/IEEE 42042 - e e ence a chi ec u e, ISO/IEC 40131 - guidance o e e ence a chi ec u e). I
is ecommended ha he Eu opean Commission s a a ans e sal ask o ce be ween he da a space
a chi ec s in a ious ini ia i es o enable his alignmen . Figu e 1 illus a es he alignmen be ween he
CEEDS amewo k and he DSSC, ou lining he p og ession om high-le el e e ence a chi ec u es o
he implemen a ion o a CEEDS-based da a space. A he ounda ional le el, he DSSC Re e ence
A chi ec u e in o ms he CEEDS Re e ence A chi ec u e, which is u he e ined h ough CEEDS
Re e ence A chi ec u e Pa e ns and CEEDS Bluep in Pa e ns. These pa e ns con ibu e o he
de elopmen o he CEEDS Bluep in , which ul ima ely se es as he basis o a CEEDS-Based Da a
Space, ensu ing a s uc u ed and s anda dized app oach o da a space implemen a ion.
Figu e 1 - Ensu ing alignmen be ween he DSSC and he CEEDS Bluep in s.
Bluep in o he CEEDS 8
The bluep in is o ganized as ollows: Sec ion 2 p o ides gene al insigh s in o he da a space concep s
and, pa icula ly, speci ically ela ed o he ene gy domain; Sec ion 3 desc ibes he e e ence use cases
o CEEDS while Sec ion 4 p esen s he p oposed a chi ec u e ha enables hei ealiza ion; Sec ion 5
de ails he implemen a ions o he building blocks; Sec ion 6 discusses Go e nance o he CEEDS.
No able insigh s and e e ences o he echnical, seman ic and go e nance in e ope abili y o ene gy
da a spaces a e discussed in Sec ion 7. Sec ion 8 concludes he documen .
Bluep in o he CEEDS 9
2. Da a Spaces Concep
The concep ualiza ion o da a spaces was ini ia ed se e al yea s ago, p o iding he basis o
cha ac e iza ion in speci ic domains like ene gy. Conside ing a domain-agnos ic pe spec i e, a da a
space is de ined in he DSSC Bluep in 1.0 [1] as “In e ope able amewo k, based on common
go e nance p inciples, s anda ds, p ac ices and enabling se ices, ha enables us ed da a
ansac ions be ween pa icipan s.”.
Conside ing his de ini ion, h ee ans e sal ea u es mus be conside ed in he da a space deploymen :
- Secu i y and P i acy: Concen a ing on ensu ing he secu i y and p i acy o he exchanged
da a wi hin he designa ed da a space.
- Quali y and In eg i y: Rela ing o he quali y and in eg i y o he da a esiding wi hin he da a
space. This encompasses elemen s associa ed wi h me ada a, such as da a alida ion, da a
cleansing, da a accu acy, and da a consis ency.
- Go e nance and Policy: Encompassing he s uc u e o go e nance and policies dic a ing he
da a spaces, add essing decision-making, da a go e nance amewo ks (comp ising ules and
p ac ices o managemen and ope a ions), policies o da a sha ing and access, as well as
ene gy- ela ed policies and egula ions.
Fu he mo e, he deploymen o a da a space is pe o med acco ding o i e main dimensions, which
e lec he ans e sal ea u es desc ibed abo e. These dimensions co espond o:
- Business: examining he business model ela ed o da a exchange, such as u ilizing
consump ion da a o managing lexibili y ansac ions in he wholesale ma ke and delinea ing
he business oles o in ol ed pa ies.
- Legal: Del ing in o he legal amewo k, encompassing (a) o e a ching legal amewo ks, (b)
o ganiza ional aspec s, and (c) con ac ual ins umen s.
- Ope a ion: P o iding insigh s in o he ope a ional amewo k, including use cases, p ocesses,
and ac i i ies.
- Func ional: Desc ibing he echnical and go e nance building blocks, deployed based on
necessa y echnical se ices (and hei dependencies), as well as adhe ence o da a s anda ds
- Technology: O e ing speci ica ions on adop ed s anda ds o equi ed so wa e componen s,
as iden i ied in he ene gy domain h ough he Sma G id A chi ec u e Model (SGAM). A
p ima y objec i e is o ensu e in e ope abili y among in e nal pa ies and wi h o he da a spaces.
The ealiza ion o a da a space in he ene gy domain mus , hen, add ess e e y indica ed dimension
and implemen he equi ed measu es o achie e in e ope able solu ions; e en i exis ing solu ions a e
al eady in place and well ad anced o indi idual dimensions (e.g., an ope a ional amewo k o g id
managemen o a s anda dized da a model, wi h associa ed da a exchange p o iles, ha add esses a
speci ic in e ope abili y poin ), consis en wo k mus be deployed o synch onize and align all he
di e en dimensions simul aneously and in a de ined sys em.
Bluep in o he CEEDS 16
op imiza ion
analy ics
and in as uc u e
needs
g id
pe o mance
Go e nance
and Regula ion
Go e nance
amewo ks o
communi y
ene gy sha ing
Regula ions
o mass-
p oduced DER
in eg a ion
Coo dina ion
amewo ks
be ween TSOs
and DSOs
S anda ds and
p o ocols o
elec omobili y
se ices
Regula o y
compliance o
enewables
in eg a ion
Fu he sec ions in his chap e explain in de ail he scope, desc ip ion and he a ious scena ios in each
use case. The Sec ion 3.6 sheds ligh on how an in e ope able da aspace acili a e he implemen a ion
o new EU g id codes egula ion.

Bluep in o he CEEDS 17
3.1. Use case #1 - “Collec i e sel -consump ion and op imized sha ing o
ene gy communi ies”
3.1.1. Scopes
The gene al scope o his use case is he ins an ia ion and ope a ion o Join ly Ac ing Sel -Consume s
(JASC), Residen ial Ene gy Communi ies (RECs) and Comme cial Ene gy Communi ies (CECs), aiming
a he collec i e sel -consump ion, inside he communi ies, and he op imiza ion o ene gy sha ing, wi h
he elec ical sys em.
The speci ic objec i es include:
- Size he echnical componen s and conduc an economical e alua ion o he deploymen o
ene gy communi ies, based on consump ion and gene a ion p o iles as well as ma ke da a,
wea he da a and he possibili y o asse s sha ing business models.
- P o ide he mechanisms o he collec ion and sha ing o da a, wi h app op ia e g anula i y a
he de ice le el, o he ene gy consump ion and gene a ion, wi h he inal goal o enabling
lexibili y and ene gy sa ings mechanisms.
- Ex ac app oxima ed lexibili y models o sma appliances (e.g., using non-in usi e load
moni o ing da a), enabling an o e all quan i ica ion o lexibili y and es ima ion o ene gy sa ings
om in elligen load con ol.
3.1.2. Desc ip ion
The e ec i e and la ge-scale deploymen o ene gy communi ies, o collec i e sel -consump ion and
egula ed ene gy sha ing, in ol es he op imiza ion in bo h he ne wo k design phase (i.e., he size and
loca ion o dis ibu ed ene gy esou ces) and in he deploymen o ene gy sha ing mechanisms wi hin
he communi y and wi h he ac i e ole o elec ical g id ope a o s.
This use case includes wo op imiza ion p oblems, he i s one aims a de e mining he op imal ins alled
capaci ies in he REC / CEC, conside ing ypical consump ion p o iles, a ailabili y o enewable ene gy
sou ces, cos s o echnologies (bo h capi al and ope a ional cos ) and oppo uni y cos s o he
communi y membe s ( e ailing a i o he elec ici y consumed om he g id, and selling p ice o he
elec ici y sold back o he g id). The second op imiza ion p oblem conside s he ope a ion o he
communi y cons ained by he ins alled capaci y om he i s op imiza ion p oblem, in pa icula i s
elec ical ene gy sha ing / ading, whe e he op imized dispa ch o con ollable ene gy esou ces (e.g.,
s o age, he mal loads, elec ic ehicles) is ob ained conside ing he oppo uni y cos s o he communi y
membe s, oge he wi h an in e nal elec ici y p icing mechanisms o se le he in e nal ene gy
ansac ions among membe s, which can be compu ed wi h di e en app oaches o algo i hms, o be
used o s udy di e en inancial schemes o communi ies.
The da a space en i onmen enables he exchanges o da a ha a e necessa y o he execu ion o he
op imiza ion scena ios among ac o s, whose oles a e desc ibed in [3]. In pa icula , he Se ice P o ide
o e s, ia i s b oke , he echnical algo i hms as se ices o which he Se ice Consume has
Bluep in o he CEEDS 18
subsc ibed. Technical pa ame e s (including he ype o a ailable de ices, asse s, and capaci y
cons ain s), p icing and inancing speci ica ions as well as consump ion and gene a ion da a p o iles
a e used as he inpu s coming om he Da a P o ide . The consen o da a sha ing is ob ained om
he Da a Owne ; addi ionally, he da a space Clea ing House (which is a se ice o logging da a
exchange ansac ions ele an o clea ing and billing as well as usage con ol) wo ks as an
in e media y o keep he log o he ansac ions. The ou pu da a a e ecei ed by he Se ice Consume s
and co espond o he op imal ins alled capaci y, he es ima ed lexibili y schedule and he p icing o
in e nal and ex e nal ansac ions, di e en ia ed acco ding o he ene gy sha ing mechanism. As an
addi ional se ice, he p o ision o in o ma ion ega ding he equi ed de ice main enance is also
included. Mo eo e , he da a exchange ou pu s allow imp o ing he o ecas s on a ailable lexibili y (I.e.,
agg ega ed demand side lexibili y po en ial o he ene gy communi y).
The enablemen o da a space capabili ies becomes key gi en he mul iple s akeholde s and se ice
p o ide s in his use case, o en en olled h ough a alue-chain enable (legal o digi al pla o m wi h an
es ablished go e nance scheme). Thus, he need o p ocu e a da a exchange en i onmen buil a ound
da a so e eign y gua an ees allows he ansla ion om common legal con ac s o sma con ac s,
which guides da a exchange limi s (i.e., usage policies) and he long- e m and pos -exchange
aceabili y o all da a and associa ed da a ansac ions. Mo eo e , as explo ing agg ega ed and
anonymized models ep esen ing he p o iles o he communi y membe s may be included in as a da a
mone iza ion scheme, he e is a eal need o ensu ing p e and pos da a exchange gua an ees wi h
iden i y e i ica ion and alida ion o he in ol ed o ganiza ions, o he aceabili y o da a lows as pa
o a digi al passpo o da a as an asse .
3.1.3. Scena ios
The sys em encompasses h ee sub-use cases, he e named as scena ios, each designed o add ess
speci ic aspec s o ene gy managemen wi hin RECs and CECs:
DER Sizing and Economic E alua ion o REC/CEC Business Model: Use s subsc ibe o da a space
o DER sizing and economic e alua ion, combining eal consump ion p o iles om his o ical da a. They
p o ide pa ame e s, eques da a (e.g., eal consump ion p o iles (his o ical da a), and sol e
op imiza ion p oblems o de e mine op imal capaci ies and schedules, aiming o maximize o collec i e
sel -consump ion o ene gy.
Es ima ion o Flexibili y Po en ial and Ene gy Cos Sa ings om The mal Domes ic Loads:
Consume s subsc ibe ia a B oke o lexibili y es ima ion se ices. Da a is eques ed, consen is
ob ained, and an op imiza ion p oblem enhances he Elec ic Wa e Hea e (EWH) ope a ion. Ou pu
me ada a, including lexibili y po en ial, is ans e ed.
Compu a ion o In e nal T ansac ion P ice based on REC/CEC Ope a ion: Consume s subsc ibe
o in e nal p icing and REC/CEC ope a ion se ices ia a b oke . Da a is eques ed, consen is ob ained,
and he selec ed p icing mechanism is execu ed. Ou pu me ada a, including ene gy ansac ed and
Bluep in o he CEEDS 19
p ices, is ans e ed. The objec i e o his se ice is o simula e he ope a ion o an in e nal ma ke and
ex ac s p ice cu es ha can be used o e alua e di e en business models (e.g., in e ms o asse
sha ing) and he economic po en ial o communi ies o di e en s akeholde s, such as inclusi e
communi ies o ulne able consume s.
In Table 4, he scena ios a e de ailed wi h espec o he in ol ed ac o s and he igge ing e en s, which
cause he da a exchange and ansi ion om he p e-condi ion o he pos -condi ion o a ailable da a
and accomplished ac ions. The use o a da a space in as uc u e allows ading da a be ween
o ganiza ions (i.e., he REC/CEC membe s and se ice p o ide s, as de elope s o he unning
algo i hms) while en o cing he da a so e eign y s ack. Figu e 4 u he de ails he in e ac ions and
e en s be ween di e en ac o s in his use case as a sequence diag am.
Table 4 - Scena ios o he use case #1.
Scena ios
Scena io name,
desc ip ion
Ac o s
T igge ing
e en s
P e-condi ion
Pos -condi ion
DER sizing and
economic
e alua ion o he
REC / CEC
business model
Consume , Ene gy
se ice company,
Ene gy ade , Ma ke
in o ma ion agg ega o ,
Resou ce agg ega o ,
FSP, Sub-me e da a
hub ope a o
Se ice consume
eques s se ice
Consump ion and
gene a ion p o iles /
ime se ies a ailable
in he da a space &
a i da a
In o ma ion
a ailable abou
REC / CEC
op imal sizing
Es ima ion o
lexibili y po en ial
and ene gy
sa ings om
he mal domes ic
loads
Consume , Ene gy
se ice company,
Ene gy ade , Ma ke
in o ma ion agg ega o ,
Resou ce agg ega o ,
FSP, Sub-me e da a
hub ope a o
Se ice consume
eques s se ice
Technical
in o ma ion om he
EWH a ailable;
ypical p o iles o
his o ical in o abou
showe du a ion and
s a ; senso o
ou le wa e
Da a a ailable
abou es ima ed
ene gy cos
sa ings and
lexibili y
Compu a ion o
ene gy p ice wi hin
he REC / CEC
Consume , Ene gy
se ice company,
Ene gy ade , Ma ke
in o ma ion agg ega o ,
Resou ce agg ega o ,
FSP, Sub-me e da a
hub ope a o
Se ice consume
eques s se ice
Consump ion and
gene a ion p o iles /
ime se ies a ailable
in he da a space &
a i da a
Collec i e and
indi idual
ope a ion cos s
o ene gy bills
Bluep in o he CEEDS 20
Figu e 4 - Sequence diag am o he use case #1.
Bluep in o he CEEDS 21
3.2. Use case #2 – “Residen ial home ene gy managemen in eg a ing DER
lexibili y agg ega ion”
3.2.1. Scopes
P osume s – whe he esiden ial, communi y, ci y, o indus ial scale – a e playing a new cen al ocal
ole o enable c oss-sec o ial in eg a ion using hei ene gy and lexibili y da a o ac i ely con ibu e o a
a ie y o lexibili y ma ke s. Mo eo e , he use o lexible DER loca ed in esiden ial en i onmen s allows
o mi iga e c i ical peak p ices h ough wholesale ma ke s as well as educes TSO and DSO g id
conges ions. In his con ex new digi al pla o ms a e le e aging IoT, edge compu ing as well as
ede a ed cogni i e cloud a chi ec u es wi h s a egic digi al ea u es o op imally o ches a e DER
h ough ene gy da a spaces; his is pu sued a he lowes ol age le els o he ene gy alue chain, which
includes home appliances and behind- he-me e DER and managed by esou ces ope a o s and FSP
ha op imise he associa ed lexibili y h ough hei balancing po olio. This app oach equi es e hinking
he way da a is gene a ed om dedica ed measu emen de ices, a ached o DER, and exchanged
h oughou di e en ede a ed ac o s o he elec ici y alue chain: equi emen s in ol e eal- ime da a
exchange and s eaming, aking ad an age o a a ie y o domain-speci ic da a exchange s anda ds
h ough consis en da a space dic iona ies.
3.2.2. Desc ip ion
Fu u e ca bon-neu al houses will soon equi e p o iding new ne -ze o analy ics as de ined h ough he
di ec i e “Ene gy Pe o mance o Buildings
6
” and, hence, p o ide nea eal- ime indica ions o
homeowne s abou hei home ene gy e iciency as well as hei a ailable lexible capaci y o espond
o g id conges ions and eme gency e en s. The home ene gy use will be con inuously op imized while
maximizing local PV sel -consump ion and minimizing elec ici y cos s (associa ed wi h new eal- ime
ene gy and lexibili y p ices). New lexible DERs a e in he mean ime in oduced h ough he home
en i onmen , such as hea pumps, EV bidi ec ional cha ge s as well as home ba e ies; hese de ices
equi e new local home edge op imiza ion ac oss hese esou ces. New in eg a ion app oaches a e
conside ed o au oma e and acili a e he associa ed in eg a ion, such as all-in-one esiden ial home
ene gy s a ions ha in eg a e bidi ec ional EV and home s a iona y ba e y and sola PV (di ec ly wi h
DC echnology, esul ing in he de aul consume da a in e aces).
Local home ene gy managemen solu ions a e becoming essen ial building blocks o sha e esiden ial
DER da a h ough mul i-sided da a exchange pla o ms, which a e ope a ed h ough dis ibu ed cloud
in as uc u es o OEM and in eg a e ad anced eal- ime ene gy op imiza ion as a se ice. Mul i-sided
pla o ms a e accessed, on one side, by p osume s h ough hei DER-speci ic app o high-le el ene gy
managemen apps while he o he side is accessed by FSP accessing consume da a o en ol hem
(wi h hei consen ) in DER-speci ic lexibili y p og ams.
6
h ps://ene gy.ec.eu opa.eu/ opics/ene gy-e iciency/ene gy-e icien -buildings/ene gy-pe o mance-buildings-di ec i e_en

Bluep in o he CEEDS 22
This BUC is ypically associa ed wi h la ge esiden ial asse s o e ing lexibili y o homeowne s, namely
hea pumps, sma hea ing equipmen , EV cha ge s (V1G and V2G) as well as esiden ial hyb id
in e e s o sola and s o age applica ions.
Re e ence DER da a dic iona ies a e managed o enable plug-and-play egis a ion o DER
in as uc u es in TSO-DSO lexibili y ma ke s; mo eo e , new eal- ime da a s eam ac oss key ac o s
o he ene gy lexibili y alue chain: om DER ope a o o ene gy communi y manage s as well as wi h
FSP and g id ope a o s (TSOs and DSOs), hence au oma ing associa ed esiden ial DER ansac ions.
The associa ed da a space should allow managing all ypes o DER in eg a ing he la es powe
elec onics, edge compu ing and da a s eaming echnologies o exchange ele an esiden ial ene gy
da a (ob ained om he main sma me e as well as om any o he accessible DER
subme e s/dedica ed measu emen de ices). The da a space should be dis ibu ed h ough di e en
ede a ed cloud in as uc u es and enable consen based on da a exchanges ac oss ac o s.
3.2.3. Scena ios
Table 5 - Scena ios o he use case #2.
Scena ios
Scena io name,
desc ip ion
Ac o s
Addi ional in o ma ion
Residen ial ene gy and
ca bon oo p in
moni o ing
P osume , Resou ce agg ega o
Residen ial DER
egis a ion by DER
ope a o s
P osume , Resou ce agg ega o ,
Consen adminis a o , Flexibili y
egis e , Flexible p oduc quali ie
Regis a ion consis s in messages o egis e s
cus ome s in he DSO lexibili y egis e .
Residen ial home
ene gy op imiza ion
DER, Local ene gy managemen ,
Wea he o ecas p o ide , FSP,
Balancing esponsible pa y
Residen ial baseline
calcula ion
Da a p o ide , Resou ce
p o ide , Resou ce agg ega o ,
Balancing se ice p o ide , FSP
P o ision o baseline da a calcula ed by he
se ice p o ide o he inal cus ome , also
based on wea he /ca bon/o he da a.
Residen ial lexibili y
in aday calcula ion
Da a p o ide , Resou ce
p o ide , Resou ce agg ega o ,
Balancing se ice p o ide , FSP
Residen ial lexibili y
bidding
Balancing se ice p o ide , FSP,
Ma ke ope a o , TSO, Flexibili y
buye
Onboa ding o ma ke pla o m (and ac i a ion
es s/p oduc p equali ica ion). Da a exchange
and communica ion equi emen s need o be
es ed o balancing se ices.
Residen ial lexibili y
ac i a ion
Ma ke ope a o , TSO, Flexibili y
buye , Balancing se ice
p o ide , FSP, Resou ce
p o ide , DER, P osume
When lexibili y is ac i a ed (ei he h ough a
ba e execu ion o a bid, o ia se poin s), a
con ollable uni can ecei e hese signals
ei he ia he Se ice P o ide o di ec ly om
Bluep in o he CEEDS 23
he Sys em o Ma ke Ope a o . Se ice
P o ide s may use he Ka ka-based s eaming
in as uc u e o bo h communica ion wi h he
ma ke , bu also wi h hei uni s unde con ol.
Residen ial lexibili y
obse abili y
Ma ke ope a o , TSO, DSO,
Resou ce agg ega o , Resou ce
p o ide , DER
A e he deli e y phase, measu emen s a
di e en poin s need o be ans e ed o he
Flexibili y Regis y Ope a o , o make hem in
u n a ailable o he Se lemen Responsible
Pa y o se ice alida ion and pe ime e
co ec ion.
Residen ial lexibili y
ansac ion
managemen
Flexibili y se lemen pa y,
Me e ed da a esponsible,
Me e ed da a collec o , Balancing
se ice p o ide , FSP, Resou ce
p o ide , DER, P osume
Figu e 5 - Sequence diag am o he use case #2.
Bluep in o he CEEDS 24
3.3. Use case #3 - “TSO-DSO coo dina ion o lexibili y”
3.3.1. Scope
Wi h he inc easing decen aliza ion and deca boniza ion o he ene gy sys em, TSOs and DSOs a e
aced wi h he challenge o ensu ing he esilience o he ene gy sys em, while enabling he in eg a ion
o la ge RES o con ibu e o he achie emen o ambi ious RES deploymen a ge s. The unce ain y o
loads and gene a ion lows poses inc eased challenges o e -op imized ne wo k ope a ions.
Conges ions and ol age issues ha ha e been ypically add essed wi h cos ly ne wo k upg ades need
o be ackled wi h sma e , cheape , non-cable al e na i e solu ions ha lexible DER o e s h ough hei
powe elec onics in e aces and echnologically exis ing agg ega ion po en ial. Ac i e ne wo k
managemen egimes o ne wo k con ol need o be de eloped, which equi e ad anced o ecas ing o
loads and gene a ion o esou ce scheduling and eal- ime con ol. Mo eo e , a a ie y o analy ics a e
necessa y o ensu e ha app op ia e measu es exis o sa is y compliance wi h e ol ing eliabili y
s anda ds and secu i y o supply. In hei ole as sys em ope a o s, TSOs and DSOs a e equi ed o
explo e, e alua e, and deploy non-ne wo k al e na i es ha include he ope a ion o ma ke -based
app oaches such as equency con ainmen and ese es.
The de elopmen o new ma ke -based app oaches shall be non-disc imina o y and se ices migh be
o e ed om all eligible pa icipan s (ei he agg ega ed o di ec end-use s) a di e en ol age le els,
while he ope a ion o he ansmission and dis ibu ion ne wo ks shall be pe o med collabo a i ely
be ween TSOs and DSOs o ensu e syne ge ic se ice p o ision and a oidance o con lic ing ac ions
while co-op imizing he ope a ion o bo h sys ems (dis ibu ion- ansmission-na ional) and educing he
o e all OPEX. As elec ici y ne wo k managemen e ol es owa ds mo e collabo a i e managemen
s uc u es, i is o u mos impo ance ha TSOs and DSOs a e in ol ed in bila e al da a-sha ing
ag eemen s ( acili a ed by ene gy da a spaces) owa ds exchanging lexibili y equi emen s, enabling
he iden i ica ion o c i ical ope a ional e en s a bo h le els o elec ici y g id ope a ion and allowing o
hei common c i icali y p io i iza ion while iden i ying a ailable lexibili y esou ces. This is pu sued
h ough ede a ed lexibili y egis e s, as de ined h ough he new demand side lexibili y code, owa ds
ensu ing he op imal ope a ion o powe g ids unde e ol ing eal- ime condi ions ia op imal
collabo a i e ope a ional scheduling, maximisa ion o capaci y usage, ac i a ion o o e ed lexibili y as
well as deploymen o lexible connec ion ag eemen s. Sys em ope a o s also need o engage in da a
sha ing wi h FSP (as iden i ied in he use case #2) owa ds gaining inc eased isibili y o e a ailable
lexibili y sou ces and p ope clus e s o hem based on in o ma ion sha ed by he ele an ac o s.
3.3.2. Desc ip ion
The exploi a ion o lexibili y, s emming om gene a ion, demand, s o age and EV asse s, o sol ing
ne wo k issues, such as balancing and conges ion, is no a no el idea. Howe e , on he one hand he
spa si y o adequa e eal- ime in o ma ion abou he a ailable lexibili y and on he o he hand he ac
ha mos lexible asse s and se e al sou ces o lexible gene a ion a e connec ed o he dis ibu ion
Bluep in o he CEEDS 25
sys em, poses signi ican ba ie s o he e icien exploi a ion o he lexibili y by he ansmission sys em
ope a o . To his end i is o u mos impo ance ha no el app oaches (da a-d i en and in elligence-
enabled) a e de ined, a i s o he eal- ime o nea - o- eal- ime agg ega ion o he a ailable lexibili y
p o ided by dis ibu ed ene gy esou ces loca ed in he dis ibu ion ne wo k. Since he majo i y o he
esou ces loca ed in he dis ibu ion sys em a e small-scale, hey need o be agg ega ed o be e icien ly
included in he ope a ional planning o ei he DSO o TSO. Mo eo e , ools enhancing he as and
e icien coo dina ion be ween TSO and DSO should be de eloped, so ha lexibili y om he dis ibu ion
sys em o be ans e ed o he TSO o balancing he sys em o sol ing ne wo k issues.
In ac , elec ici y ne wo ks a e p og essi ely being domina ed by small, dispe sed p osume s (as also
highligh ed in use case #2), no only in e ms o numbe bu also in e ms o c i icali y o he sys em
esilience since hey a e associa ed o he e e g owing numbe o small-scale DERs connec ed o he
ne wo k, ha con inuously expand he ene gy sys em “edge”, in e ms o con ollabili y and ope a ional
complexi y. The p og essi e decen aliza ion, which is also accompanied by he in oduc ion o new
digi alized asse s (EVs, IoT, ba e ies), poses signi ican challenges o he esilience o he sys em,
while in oducing inc eased unce ain y in adi ional con ol ou ines, gi en he s ochas ic and
in e mi en cha ac e o enewable gene a ion and he new con ol a iables (no cu en ly add essed
in exis ing ools o he sys em managemen ) in oduced by new asse s. Unde hese ci cums ances,
ene gy sys ems need o e ol e owa ds in eg a ed ecosys ems and, mo e speci ically, in eg a ed da a
alue chains, o enable he da a-d i en op imiza ion a sys em and DER le el in a coo dina ed manne ,
by s epping on us ul da a (in elligence) sha ing models acili a ed by ene gy da a spaces. Such models
and app oaches will inc ease s akeholde s’ da a ou each, enhance hei in elligence and acili a e he
ealiza ion o inno a i e ene gy se ices and collabo a ion models o imp o ing ne wo ks ope a ions in
a esilien manne by u ilizing he un apped lexibili y po en ial o small-scale dispe sed DERs.
As echnology ad ances and becomes mo e a o dable, p osume s and DER owne s a e no longe
pe cei ed as passi e elemen s o he ene gy sys em, bu a e ans o ming hemsel es in o ac i e nodes
ha can e ec i ely con ibu e o i s op imized ope a ion since:
• hey comp ise in a huge sou ce o lexibili y able o suppo dis ibu ion and ansmission sys em
ope a o s wi h he needed se ices o balance demand & supply and manage powe quali y and
sys em esilience, and, a he same ime,
• hey a e associa ed wi h he gene a ion o as amoun s o asynch onous s eamed-da a,
spanning sma me e ing and sub-me e ing in o ma ion, IoT de ice in o ma ion
(sensing/con ol), dis ibu ed gene a ion (RES), s o age, building sys ems (hea ing/ cooling) and
elec ic ehicle da a, becoming mo e and mo e essen ial o imp o ing obse abili y and
o ches a ing he esilien ope a ion o a decen alized and complex ene gy sys em ha
e ec i ely achie es he deca boniza ion ad an ages ha come wi h he inc easing pene a ion
o RES and he p og essi e elec i ica ion o he mobili y and building sec o s.
Hence, i becomes ob ious ha he eal alue o da a p oduced by p osume s and DERs a he edge o
he ene gy sys em (and beyond i ) is hidden in he ( eal- ime) sha ing o such (p e iously non- eachable)
in o ma ion wi h he es o he ene gy da a alue chain s akeholde s ha hei ope a ions a e di ec ly o
Bluep in o he CEEDS 32
Figu e 7 - Sequence diag am o he use case #4 - EV Booking Roaming Se ice.

Bluep in o he CEEDS 33
Figu e 8: Sequence diag am o he use case #4 - EV Flexibili y Se ice
3.5. Use case #5 – “Renewables O&M op imiza ion and g id in eg a ion”
3.5.1. Scopes
The main challenges o enewable ene gies o ge ing la ge deploymen a e cos compe i i eness and
sma g id in eg a ion. The e o e, he scopes o his use case a e:
1. De elop mo e obus algo i hms o op imizing he O&M o enewable ene gy asse s by
le e aging da a om mul iple enewable ene gy plan owne s. This will allow a mo e eliable
and ea lie aul de ec ion, au oma ed diagnosis and main enance p esc ip ion esul ing in
educed ope a ion and main enance cos s (OPEX).
2. De elop da a analy ics o enable e icien in eg a ion o dis ibu ed ene gy sou ces in o he sma
g id by moni o ing da a om di e en ac o s such as consume s and p oduce s and da a om
he g id i sel an icipa ing po en ial issues, like conges ion o ol age ola ili y, impac ing on
quali y and secu i y o se ice. This can acili a e decision making on he op imal loca ion and
size o enewable esou ces in he o e all sys em.
3.5.2. Desc ip ion
An op imized O&M o enewable asse s along hei li e ime is key o educe he Le elized Cos O Ene gy
(LCOE) by inc easing he Pe o mance Ra io (PR) and educing O&M cos s and Weigh ed A e age
Cos o Capi al (WACC). Howe e , nowadays da a a e no mally kep in silos wi hin companies. This is
one o he main blocke s o AI since he abili y o he algo i hms o lea n and gene alize is limi ed by
he company´s da a, which gene ally co e s a limi ed ange o possible ope a ing condi ions. Da a
Bluep in o he CEEDS 34
Spaces enable access o a wide ange o in o ma ion han he one ela ed o one single po olio,
enhancing he gene aliza ion capaci y o AI algo i hms o di e en ope a ing condi ions. Fu he mo e,
in some domains, such as wind ene gy, some ele an ac o s, such as componen manu ac u e s (Tie
2-3 ca ego ies), ICT companies, SMEs and academia do no ha e access o ope a ional da a, causing
he block o hei capaci y o imp o e exis ing p oduc s and de elop inno a i e digi al se ices.
Mo eo e , high pene a ion a es o Renewable Ene gy Sou ces equi e special measu es by he DSO
o ensu e he quali y and secu i y o ene gy supply. In his con ex , i is c ucial o de elop inno a i e
digi al se ices ha le e age exis ing da a om di e en s akeholde s (p osume s, DSO, agg ega o ) o
op imise he powe lows in he gi d. Consequen ly, i is necessa y o os e da a exchange amongs
di e en ac o s o he ene gy sys em, while ensu ing da a secu i y, p i acy and so e eign y.
In his BUC, he ca ego y o da a p o ide s includes RES plan owne s, RES plan ope a o s, OEMs,
DSOs and consume s/p oduce s, while he da a use s a e componen manu ac u e s (Tie 2-3
ca ego ies) and da a analy ics se ice p o ide s.
3.5.3. Scena ios
In e ms o he c ucial da ase s o exchange, his encompasses SCADA da a o RES ope a ion,
me eo ological da a, sma g id da a, and p osume ene gy consump ion (sma me e ) da a.
Rega ding he ex en o da a exchange, i a ies wi h he speci ic applica ion. Fo O&M op imiza ion
pu poses, he scope is global, aiming o ga he eal ope a ional da a om simila asse s in di e se
ope a ing condi ions wo ldwide. On he o he hand, o sma g id in eg a ion, he scope is mo e localized
o egional. The majo i y o he equi ed da ase s a e p op ie a y and, in some ins ances, con ain
business-c i ical in o ma ion. Addi ionally, ce ain da ase s, such as p osume da a, may include
pe sonal in o ma ion ha needs o comply wi h GDPR. No ably, me eo ological da a is ypically open
sou ce.
Conce ning he willingness o da a p o ide s o engage in a Eu opean da a space and sha e da a ac oss
bo de s, his la gely depends on he enewable echnology in ol ed. Fo example, sola PV da a a e
ypically owned by PV plan owne s/ope a o s who a e open o sha ing da a. Con e sely, in he wind
ene gy sec o , his da a is p edominan ly owned by OEMs who a e less inclined o sha e. This di e ence
is because he wind ene gy sec o is shi ing i s business model om selling wind u bines o p o ide
O&M se ices, and da a is a key compe i i e ad an age o p o ide his ype o se ices.
The da a is exchanged h ough he Common Eu opean Ene gy Da a Space h ough he so-called
connec o s ensu ing da a p i acy, secu i y and so e eign y. This da a is used o p o ide ene gy se ices
by p ocessing aw da a h ough da a-d i en AI algo i hms. These se ices include o example, RES
O&M op imiza ion se ice, Digi al Twins o RES asse s and Sma G id, P osume Ene gy
Demand/Gene a ion o ecas , sma g id ein o cemen planning se ice, e c. The ac o s, e en s, p e-
and pos -condi ions o each scena io a e de ailed in Table 8 - Scena ios o he use case #5. Figu e 9
Bluep in o he CEEDS 35
u he de ails he in e ac ions and e en s be ween di e en ac o s in his use case as a sequence
diag am.
Table 8 - Scena ios o he use case #5.
Scena ios
Scena io
name,
desc ip ion
Ac o s
T igge ing
e en s
P e-condi ion
Pos -condi ion
RES O&M
op imiza ion
OEM, RES plan
owne s/ope a o s,
TIER2-3 componen
manu ac u e , Da a
analy ics se ice
p o ide s
RES plan
owne s/
ope a o s
eques s
se ice
RES ope a ional da a
a ailable in he da a
space
Ea ly de ec ion o
ailu es, op imized
main enance
schedule, op imal
ope a ion
p esc ip ion.
RES sma
g id
in eg a ion
RES plan ope a o s,
p osume s, DSO
DSO eques s
se ice
Sma me e da a and
RES ope a ional da a
a ailable in he da a
space.
An icipa e po en ial
issues (conges ion o
ol age ola ili y, e c.)
and p esc ibe
co ec i e ac ions.
Op imal RES
sizing
(p osume /
communi y)
Consume /P oduce ,
Da a analy ics se ice
p o ide s, DSO
Cus ome /
Communi y
eques
Gene a ion, consump ion
and s o age da a
a ailable, geog aphic
pa ame e s, EV and
p ices
P o ide op imal size
o RES in eg a ion
DSO
esou ces
op imal
loca ion
DSO, Consume /
P oduces, Da a
analy ics se ice
p o ide s
DSO Reques
Gene a ion, consump ion
and s o age da a
a ailable, g id model (in o
o digi al win) g id
in o ma ion (exis ing
p oblems), asse s ha can
be ins alled
P o ide op imal
loca ion o DSO
esou ces
Bluep in o he CEEDS 36
Figu e 9 - Sequence diag am o he use case #5.
Bluep in o he CEEDS 37
3.6. Ne wo k codes equi emen s
A c ucial a ea whe e ene gy da a spaces can po en ially ac as a game change is in he implemen a ion
o new ules manda ed by he ne wo k code on demand esponse; pa icula ly ele an o he p esen ed
use cases #1 “Collec i e sel -consump ion and op imized sha ing o ene gy communi ies” and #2
“Residen ial home ene gy managemen in eg a ing DER lexibili y agg ega ion”.
Expe s om he EU DSO En i y and ENTSO-E a e collabo a i ely d a ing he legal ex p oposal in
close coope a ion wi h Eu opean s akeholde s. Ma ke ac o s a e inc easingly calling o e icien alue-
s acking op ions be ween ma ke pla o ms and a ious pa icipan s on he demand side. To gain a
be e unde s anding o he ma e , i is wo hwhile o e iew how u u e legisla ion is likely o de ine
speci ic concep s and alloca e esponsibili ies.
To alloca e esponsibili y in he u u e ene gy scena io, i is necessa y o ca ego ize key asse s ha play
ac i e oles in he ma ke mechanisms unde ans o ma ion. Re e ing o Figu e 10, asse s will be
ca ego ized as ollows:
- “Technical esou ce”: an indi idual powe gene a ion, ene gy s o age, o demand module.
- “Con ollable uni ”: a single echnical esou ce o a g oup o echnical esou ces behind he
same connec ion poin , p o ided ha hese echnical esou ces can be collec i ely con olled.
In his con ex , he con ollable uni emains unde he ull so e eign y o he inal cus ome , who
has he au ho i y o decide which agg ega o o se ice p o ide will ma ke he lexibili y o he
asse .
- “Se ice p o iding uni ” (SPU): a single con ollable uni o a g oup o con ollable uni s, a
“se ice p o iding g oup” (SPG), connec ed o he same connec ion poin . SPUs and SPGs a e
de ined by he se ice p o ide o deli e local o balancing se ices.
- “Se ice p o ide ” o “agg ega o ” is a ma ke pa icipan wi h a legal o con ac ual obliga ion
o supply local o balancing se ices om a leas one SPU o SPG.
Figu e 10 - De ini ions as basis o ules on demand esponse.

Bluep in o he CEEDS 38
Wi h his concep ual amewo k as a ounda ion, egula ions go e n complex se ices, and he ma ke s
associa ed wi h hem. High-le el eal- ime moni o ing equi emen s will need o be managed by se ice
p o ide s. Simul aneously, he p o ision o local se ices mus be coo dina ed and po en ially
cons ained by sys em ope a o s o a oid iola ing g id limi a ions, h ough local conges ion-based
ma ke s and, po en ially, lexible connec ion ag eemen s. Subme e ing, oge he wi h embedded
measu emen de ices in con ol uni equipmen , will be in eg a ed in o he Eu opean egula o y
amewo k, and mul iple FSP, as well as mul iple supplie s, will be pe mi ed o ope a e behind a inal
cus ome ’s single connec ion poin . Con ollable uni s a e equi ed o be “swi chable” be ween
agg ega o s ( h ough dedica ed con ol uni s), es o ing g id use s' so e eign y o e he ha dwa e hey
ha e pu chased and e ec i ely sepa a ing ha dwa e om agg ega ion ma ke s. These ules ep esen
a signi ican leap o wa d, posing subs an ial da a managemen challenges o all s akeholde s in he
ield. Rele an da a exchange s anda ds a e cu en ly discussed by ENTSO-E, he DSO En i y as well
as indus ies o ensu e he end- o-end in e ope abili y o demand side lexibili y da a h ough ha monised
on ologies, as de ined in he Common In o ma ion Model (CIM). Anyway, he ma ke s hey acili a e will
no unc ion wi hou ull digi aliza ion and e icien da a exchange en i onmen s, de ined a Eu opean
le el o ensu e le el playing access o dis ibu ed con ollable uni s (such as hose associa ed wi h hea
pumps and EVs).
Bluep in o he CEEDS 39
4. P oposed A chi ec u e o CEEDS
The e e ence BUCs o CEEDS, desc ibed in Sec ion 3 o his documen , a e based on an ecosys em
o da a spaces ( ollowing he app oaches p esen ed in sec ion 2.1) ha is s ic ly necessa y o deploy
egula ed and e icien exchange o ene gy- ela ed da a. In ac , he scena ios o BUCs exploi he
a ailabili y o da a and se ices, indexed, and disco e ed in he da a spaces ca alogues, o ope a e he
ene gy se ices. The implemen a ion o his da a space app oach allows, mo eo e , o enla ge he se
o in ol ed ac o s as ac i e pa icipan s in he ene gy sys ems ope a ions, wi h socio-economic bene i s
(in e ms o mone a y sa ings as well as he quali y o he se ices and eliabili y o elec ici y dis ibu ion)
o e e y ac o o he ene gy alue chain.
As al eady men ioned, he da a spaces ecosys em, which sus ains he execu ion o he p esen ed
BUCs, will no be cons uc ed en i ely om sc a ch. Ins ead, i will cons i u e an ex ension and
enhancemen o he p e ailing da a exchange ecosys em, which p esen ly ope a es in isola ion in
coun ies wi h e y limi ed pan-Eu opean in e connec ions. The objec i e is o es ablish a da a
in as uc u e ha acili a es he seamless and equi able exchange o da a a pan-Eu opean le el,
anscending local ba ie s and limi a ions. In he cu en sec ion, he exis ing solu ions o ene gy da a
exchange a e aken as a s a ing poin ; he goal is o desc ibe he necessa y adap a ions o ealize he
CEEDS h ough implemen ing he p oposed ene gy da a space in as uc u e.
Focusing on he ealiza ion, he p oposed model co esponds o he c ea ion o an ene gy da a space
as he combina ion o (1) mul iple “dis ibu ed da a exchange pla o ms” wi h (2) o e a ching
laye s de ined as he “ ede a ed da a space” o ches a ion amewo k (cen alized o
dis ibu ed). This app oach e lec s he concep o DERA 3.0 (Da a Exchange Re e ence A chi ec u e
3.0
7
), which has been de ined in he B idge Da a Managemen WG based on SGAM. Speci ica ions o
local and ede a ed pa s o he a chi ec u e a e desc ibed he ea e .
The (1) “dis ibu ed da a exchange pla o ms” laye (wi h e e ence o Figu e 11) o he a chi ec u e
e e s o da a pla o ms (including he al eady exis ing ones), ei he associa ed wi h (i) egula ed
in as uc u es o (ii) un egula ed ac o s and en i ies, in line wi h he key applica ions and unc ions
de ined in he SGAM. On one hand, examples o egula ed da a exchange pla o ms ypically include
g id con ol oom pla o ms – such as EMS and ADMS - ma ke pla o ms, me e da a hubs and lexibili y
egis e s; on he o he hand, he ca ego y o un egula ed ac o s and en i ies en ails he DERMS, VPP,
Cha ging Poin Managemen , Communi y Ene gy Managemen , DER Technical Agg ega o s, Building
Ene gy Managemen .
In gene al, hese cu en ly exis ing da a exchange pla o ms a e al eady cap u ing and pe sis ing hei
own da a, which is usually inpu ed in o ailo ed applica ions; hey a e ypically ope a ed by ene gy
s akeholde s ha assume he oles o ac o s as p esen ed in he BUCs scena ios, each da a exchange
7
h ps://op.eu opa.eu/en/publica ion-de ail/-/publica ion/dc073847-4d35-11ee-9220-01aa75ed71a1/language-en/ o ma -
PDF/sou ce-294051153
Bluep in o he CEEDS 40
pla o m beha ing as da a p o ide s and/o da a consume s. The se o ene gy s akeholde s ypically
include all ac o s de ined h ough he HEMRM; namely, among many o he s: DSOs, TSOs, ma ke
ope a o s, OEMs, ene gy communi ies, cha ge poin ope a o s, cus ome s, BRPs and BSPs. Mos o
hese ac o s al eady ha e such da a pla o ms in place, o manage, p ocess and isualize di e en se s
o ope a ional da a. The e o e, since di e en da a space pa icipan s a e associa ed wi h di e en da a
exchange pla o ms, he CEEDS gua an ees da a exchange among hem. The endpoin s o ene gy-
ela ed da a co espond o en i ies ha ac as sou ces and/o ecei e s o da a, o example: ield de ices
ha p o ide eal- ime measu emen s (senso s, ol age and cu en ans o me s, PMUs, RTUs, sma
me e ing de ices and embedded dedica ed measu emen de ices) and ecei e ac ua ing commands,
scheduled ope a ional se poin s o p ice-based ansac i e con ols (IEDs, ap-change s, swi ching
de ices, behind- he-me e DERs), SCADA, EMS and ADMS in as uc u es ha con ains eal- ime
da abases and o ecas s da a, inpu s om p osume s ega ding he loads schedule, EVs and DERs
ac ual and o ecas ed powe consump ion and gene a ion. These da a a e bidi ec ionally exchanged
wi h he dis ibu ed da a ecosys ems ia he exis ing communica ion in as uc u es, which
accommoda e di e en echnologies such as 5G, LTE, ibe op ics, PLC, secu ed in e ne , e c.
Looking inside he da a pla o ms on he “dis ibu ed da a ecosys ems” side, a ious s a egies o da a
collec ion and s o age o igina e om a ious implemen a ion app oaches o da a managemen . These
exis ing s a egies o da a managemen a e desc ibed by wo signi ican sou ces: he TSO-DSO Da a
Managemen Repo
8
and he GEODE Da a Managemen Fac Shee
9
. No ably, he la e ex ensi ely
explo es he implica ions o adhe ing o A icle 23 o Di ec i e (EU) 2019/944, which delega es he
esponsibili y o shaping he app oach o da a managemen o ene gy se ices o Membe S a es. This
empowe s hem o add ess Eu opean legal equi emen s based on hei speci ic subsidia y needs.
Consequen ly, he s a egies esul in h ee p ima y a chi ec u al app oaches obse ed in nume ous
Membe S a es, o en applied in pa allel o di e en ypes o da a (i.e., om di e en sec o s o
applica ions), and desc ibed he ea e .
a) In he decen alized model, da a emains a i s poin o o igin (e.g., me e ing in o ma ion
a DSO, con ac in o ma ion a he supplie and gene a ion o DER). Collabo a i e e o s
among ma ke ac o s a e unde way o es ablish s anda dized ma ke communica ion and
exchange da a, ei he wi h explici consen om he da a subjec o wi hin clea ly de ined
business p ocesses. Examples o amewo ks adop ing his app oach can be ound in
Aus ia (EDA), he Ge man ma ke communica ion, and F ance.
b) The cen alized model in ol es a da a hub ha ecei es and s o es da a. All business
p ocesses ope a e wi hin his hub, and ou comes a e ansmi ed back o i s clien s. This
model is managed and de eloped by a speci ic en i y o se ice p o ide , wi h ma ke
pa icipan s u ilizing i s unc ionali ies. This app oach is implemen ed, o ins ance, in
Finland and Es onia.
8
h ps://www.en soe.eu/2016/07/27/ so-dso-da a-managemen - epo /.
9
h ps://www.geode-eu.o g/wp-con en /uploads/2020/05/202005-Fac -shee -GEODE-Da a-Managemen -FINAL.pd .
Bluep in o he CEEDS 41
c) The hyb id model combines elemen s om bo h p e ious models. While all ma ke
pa icipan s can communica e in a decen alized manne , speci ic cen al s uc u es a e
employed in ce ain use cases (e.g., compliance moni o ing o acili a ing access o da a
b oke age). In he con ex o sma me e ing, Spain se es as an example whe e da a
emains wi h he DSO as he "me e ed da a adminis a o ," and access o end cus ome s
and hi d pa ies is acili a ed h ough he AELEC-ope a ed Da aDis
10
.
The (2) “Fede a ed Da a Space” side o he a chi ec u e (wi h e e ence o Figu e 11) e e s o whe e
da a is indexed, making i disco e able and p o iding a so o ma ke place o sha ing (and, possibly,
ading) bo h da a and da a se ices. In doing so, he da a space will ely on mul iple ac o s and da a
pla o ms ( he p e iously desc ibed ones, in he dis ibu ed da a ecosys ems side) ede a ing h ough
he da a space connec o s and o e ing hei da a unde p e- eco ded policies, e i ied c eden ials, da a
models and con ac ual ag eemen s. A his scope, he ede a ed da a space side includes a se o
componen s o implemen ounda ional building blocks ha pe o m he equi ed unc ionali ies o he
da a space; hese componen s a e desc ibed in de ail in Sec ion 4.1.
Figu e 11 - Exchange o ene gy- ela ed da a among di e en da a pla o ms (as da a space pa icipan s).
10
DATADIS - h ps://aelec.es/da adis/
Bluep in o he CEEDS 48
5. EDSCP Implemen a ion De ails
This sec ion p o ides a concise o e iew o he ongoing p ojec s associa ed wi h BUCs, ollowed by a
desc ip ion o he a ious building blocks u ilized in he implemen a ion o hese p ojec s. This sec ion
p esen s how he building blocks a e being implemen ed by he EDSCP in hei pilo s, de i ing
app oaches o u he eplica ion in he CEEDS.
5.1. Ene gy Da aspace Clus e P ojec s
P ojec EDDIE
P ojec EDDIE has de eloped he Open-Sou ce EDDIE F amewo k, o acili a e ene gy da a exchanges
ac oss EU membe s a es. Key in he EDDIE F amewo k is a consen -based Eu opean-wide
in e ope able mechanism which allows he consume o independen ly manage da a exchange wi h
ene gy se ice p o ide s, ene gy communi y ope a o s, lexibili y se ice p o ide s and g id ope a o s.
EDDIE F amewo k cu en ly suppo s connec i i y wi h alida ed consump ion and accoun ing poin
mas e da a o 7 Membe S a es and Uni ed S a es (US)/Canada (CAN) G een Bu on CMD wi h a
common and easily in eg able API, s anda dized da a and a common p ocess, wi h mos emaining
membe s a es o be a ached soon.
Fu he mo e, EDDIE F amewo k ea u es he Adminis a i e In e ace o In-house Da a Access (AIIDA),
a secu e and eliable ool o accessing da a om sma me e s and behind- he-me e asse s close o
eal- ime, based on cus ome consen and ailo ed o he espec i e use case.
The EDDIE Ma ke place, an o - he-shel e da a ma ke place o en i ies in ol ed in ene gy da a
managemen (e.g., DSOs, TSOs, Ene gy Communi ies (ECs), e c.), p o ides acili a ion se ices o
new da a-based solu ions.
EDDIE Online is a Pla o m as a Se ice (PaaS) o allow o ene gy da a-d i en se ices achie e da a
in eg a ion wi hin minu es - is in de elopmen and close- o-p oduc ion mode since Ma ch 2023.In
pa allel o he de elopmen o he EDDIE echnical componen s, a mul idisciplina y analysis is ongoing
o examine he economic p ope ies and comme cial oppo uni ies a ising om he es ablishmen o an
ene gy da a space; assess he beha iou al aspec s associa ed wi h he a ailabili y and use o ene gy
da a; cla i y igh s, du ies and p inciples o consume s’ ene gy da a sha ing; in es iga e al e na i e
egula o y a angemen s; and explo e secu i y and sa e y aspec s o al e na i e da a-sha ing op ions.
EDDIE’s inno a i e app oach signi ican ly educes da a in eg a ion cos s, allowing ene gy se ice
companies o ope a e and compe e seamlessly in a uni ied Eu opean ma ke . This no only enhances
he ope a ional e iciency o hese companies bu also p omo es a mo e cohesi e and in eg a ed ene gy
sec o ac oss Eu ope. Addi ionally, AIIDA ensu es secu e and eliable access o aluable eal- ime da a
om sma me e s s ic ly based on cus ome consen . EDDIE componen s a e LIVE and usable by a
b oad audience al eady and hey ha e led o sma and close- o-indus ializa ion solu ions.

Bluep in o he CEEDS 49
P ojec SYNERGIES
SYNERGIES has in oduced a e e ence Ene gy Da a Space Implemen a ion o unleash he da a-d i en
inno a ion and sha ing po en ial ac oss he ene gy da a alue chain by le e aging on da a and
in elligence coming om di e se ene gy ac o s (p io i izing on consume s and in oducing hem as da a
owne s/ p o ide s) and coupled sec o s (buildings, mobili y) and e ec i ely making hem eachable and
widely accessible. In u n, i has acili a ed he ansi ion om siloed da a managemen app oaches o
collabo a i e ones which p omo es he c ea ion o a da a and in elligence ecosys em a ound ene gy
(and o he ypes o ) da a and enables he ealiza ion o da a (in elligence)-d i en inno a i e ene gy
se ices ha (i) alue he lexibili y capaci y o consume s in op imizing ene gy ne wo ks’ ope a ion,
maximizing RES in eg a ion and sel -consump ion a di e en le els o he sys em (communi y,
building), (ii) e iden ly suppo ne wo k ope a o s in op imally moni o ing, ope a ing, main aining and
planning hei asse s and coo dina ing be ween each o he (TSO-DSO collabo a ion) o enhancing
sys em esilience, (iii) c ea e an inclusi e pa hway owa ds he ene gy ansi ion, h ough consume
empowe men , awa eness and in o med in ol emen in lexibili y ma ke ansac ions, (i ) s ep on eal
da a s eams and in elligence o deli e pe sonalized and au oma ed ea u es o inc ease p osume
accep ance and emo e in usi eness, ( ) acili a e he es ablishmen o sus ainable Local Ene gy
Communi ies (LECs) by enhancing hei ole wi h Agg ega o and BSP unc ions, and ( i) es ablish solid
g ounds o he c ea ion o a new economy a ound ene gy da a p oduced and sha ed ac oss a complex
alue chain, in a secu e, us ul, ai and accep able manne .
P ojec DATA CELLAR
DATA CELLAR has c ea ed a ede a ed ene gy da aspace ha will suppo he c ea ion, de elopmen
and managemen o local ene gy communi ies in he EU. The da a space popula ion was acili a ed ia
an inno a i e ewa ded p i a e me e ing app oach, wi h a ocus on an easy onboa ding and in e ac ion,
gua an eeing a smoo h in eg a ion wi h o he EU ene gy da a spaces, p o iding o LEC s akeholde s
se ices and ools o de eloping hei ac i i ies. The DATA CELLAR pla o m is buil a ound a collec ion
o da a sou ces—such as Local Ene gy Communi ies and ene gy ins alla ions— e e ed o as Valida ion
Cases wi hin he p ojec . These sou ces deploy so wa e se ices designed o p ocess and expose aw
da ase s o in eg a ion in o he DATA CELLAR ecosys em. The se ices include adap ing da a o he
p ojec ’s model, in eg a ing wi h a Da aspace P o ocol-complian connec o , and publishing da ase s in
a Gaia-X ede a ed ca alogue. In addi ion, DATA CELLAR implemen s da a-d i en, ene gy- ela ed
se ices, such as a Decision-Suppo Sys em, which u ilise he Valida ion Case da a sou ces o
gene a e aluable insigh s o use s o he da a space. Use s can access hese h ough a use - iendly
web Dashboa d ha se es as a ga eway, abs ac ing he complexi ies o da a space concep s and
p o ocols. Ad anced use s, howe e , ha e he op ion o deploy hei own walle , connec o , and ela ed
se ices o in e ac di ec ly wi h he da a space i hey wish.
Bluep in o he CEEDS 50
P ojec OMEGA-X
OMEGA-X has de eloped an Ene gy Da a Space ha enables mul iple ac o s o sha e da a and se ices
while ensu ing p i acy, secu i y and so e eign y. This speci ically add essed he cu en p oblem o low
a ailabili y o da a o inno a i e uses in he ene gy sec o and beyond. OMEGA-X collabo a ed wi h
s akeholde s o iden i y whe e ene gy-based se ice imp o emen s and inno a ion a e equi ed o
gua an ee ha companies and o ganiza ions can sha e hei da a sa ely. A he same ime, he OMEGA-
X solu ion helped exis ing ma ke ac o s (including SMEs and s a -ups) o ha e access o a a ie y o
da ase s o imp o e hei AI models and hus be able o upg ade exis ing se ices and/o b ing inno a i e
se ices ha o he wise could no be de eloped. The a ailabili y o da a empowe s new pa icipan s and
ma ke oles such as agg ega o s and local ene gy communi y manage s. This has he po en ial o
acili a e he la ge-scale pene a ion o enewables in he local g id wi hou signi ican in es men s in
g id in as uc u e and will also c ea e an oppo uni y o new business models o eme ge. OMEGA-X
pu a p ominen ocus on de eloping and p omo ing inclusi e and collabo a i e beha iou s, which will
lead o a mul i ude o socie al and economic bene i s, such as an inc ease in ene gy au onomy and a
educ ion in CO2 emissions.
P ojec Ene sha e
Ene sha e has le e aged he po en ial o ene gy da a by de eloping a e e ence a chi ec u e o a
Eu opean Ene gy Da a Space. This a chi ec u e in eg a es cloud secu i y solu ions wi h digi al secu i y,
a i icial in elligence, and da a exchange amewo ks globally. By enhancing in e ope abili y,
es ablishing us , and inc easing he alue o da a building blocks, Ene sha e has ailo ed i s solu ions
o he speci ic needs o he ene gy sec o .
The p ojec has es ed i s inno a i e solu ions and app oaches in se en pilo si es ac oss ele en use
cases. Thes use cases demons a ed he alue o ene gy da a in p o iding se ices wi hin and beyond
he ene gy sec o . Ene sha e demons a ed he po en ial o posi i ely impac he de elopmen o new
economic ac i i ies and c oss-sec o se ices by c ea ing new business oppo uni ies and jobs in he
ene gy sec o . Addi ionally, i enhanced awa eness and engagemen among ene gy consume s and
communi ies. The p ojec also en isioned c ea ing new alue-added se ices based on ene gy da a,
such as ene gy managemen , e iciency, audi ing, o ecas ing, and ading.
5.2. Technical Building Blocks Implemen a ions ac oss P ojec s
Table 9 summa izes he implemen a ion o each building block (BB) wi hin he indi idual clus e
p ojec s. I an implemen a ion o a speci ic building block does no exis wi hin a p ojec , he
co esponding ield is le blank in he able.
Bluep in o he CEEDS 51
Table 9 - P ojec speci ic implemen a ions o CEEDS Building Blocks
CEEDS Building
Block
EDDIE
Syne gies
Da aCella
Omega-X
Ene sha e
Connec o
EDDIE
F amewo k
Syne gies
Da aspace
Connec o
Eclipse
Da aspace
Componen s
Eclipse
Da aspace
Componen s
( ia So i y
connec o )
TNO Secu i y
Ga eway &
Ene gy
Da aspace
Connec o
Iden i y
Managemen
Keycloak, eID
Secu i y,
Au hen ica ion
&
Au ho isa ion
Engine based
on Keycloak
Hyb id
app oach wi h
OIDC
(Keycloak)
and Gaia-X-
complian
Ve i iable
C eden ials
ia OID4VC
IDSA – DAPS
plus
Gaia-X
Ve i iable
C eden ials
Keycloak and
TSG Iden i y
P o ide
Logging
S anda d
Logging
F amewo ks
Con ac
Se lemen
Engine
Eclipse
Da aspace
Componen s
sys em
moni o ing
in e ace
Kube ne es
Logging
ope a o
Clea ing
House
Vocabula y Hub
Eu opean
Mas e Da a
Model
CIM Ne wo k
Manage
Cus om
Implemen a io
n
Common
Seman ic
Da a Model
(CSDM)
Seman ic
T eehouse
Con ac
F amewo k
Da a
Ma ke place
DLT Sma
Con ac
Managemen
Engine
IDS Con ac
Nego ia ion
Gaia-X
speci ica ions
Blockchain
Publica ion &
Disco e y
Eu opean
Mas e Da a
Model
Da a
Ma ke place
XFSC
Gaia-X
Fede a ed
Ca alogue
The Me ada a
B oke
P o enance &
T aceabili y
X.509
Con ac
Se lemen
Engine
Gaia-X Digi al
Clea ing
House
Gaia-X Digi al
Clea ing
House
Clea ing
House
Bluep in o he CEEDS 52
Access & Usage
Policy
Access Policy
Engine
Eclipse
Da aspace
Componen s
Gaia-X Digi al
Clea ing
House
Eclipse
Da aspace
Componen s
Fu he de ails on as well as he a ionale behind choosing speci ic implemen a ion is explained below.
EDDIE
The Da a Space Connec o in he EDDIE p ojec is buil on he EDDIE F amewo k and AIIDA, a oiding
comme cialized connec o s due o hei limi ed ma u i y and applicabili y o he p ojec 's use cases.
Ins ead, in e ope abili y is ensu ed h ough Ka ka connec o s, pa icula ly o c oss-sec o al da a
in eg a ion wi h o he p ojec s such as SYNERGIES. I ollows he IEC CIM s anda d o he in o ma ion
model and suppo s mul iple communica ion p o ocols, including OASIS AS4, REST, Ka ka, AMQP, and
MQTT5 o edge deploymen s. Wi h a ma u i y le el o TRL7+, his implemen a ion is well-sui ed o
da a-d i en companies and ensu es seamless in eg a ion ac oss di e en domains.
Fo Iden i y Managemen , EDDIE uses Keycloak and OpenID Connec o cen alized iden i y and
access managemen (IAM), wi h connec ions o eID and eIDAS whe e e applicable. The
implemen a ion aligns wi h he DSSC e e ence a chi ec u es ollowed by many connec ed da a spaces,
ensu ing compa ibili y ac oss a ious iden i y amewo ks. Wi h a TRL9 ma u i y le el, i mee s all
necessa y equi emen s o au hen ica ion and au ho iza ion, p o iding a secu e and scalable solu ion
o ede a ed da a access.
The Logging sys em employs s anda d logging amewo ks designed o in eg a ion in o mode n
con aine ized in as uc u es. I o e s lexibili y by adap ing o he logging equi emen s o each
connec ed da a space, ensu ing compliance wi h AS4 s anda ds o ea u es such as epea abili y, non-
epu abili y, and audi abili y. Wi h a ma u i y le el o TRL9, his app oach ensu es obus log
managemen o moni o ing and secu i y ac oss ede a ed en i onmen s.
Fo he Vocabula y Hub, he EDDIE F amewo k ansla es na ional in o ma ion models in o IEC CIM
whe e needed and p o ides a Eu opean Mas e Da a Model. This ensu es a uni ied da a ep esen a ion
ac oss di e en ene gy sys ems, acili a ing seamless da a exchange. Wi h a TRL7+ ma u i y le el, he
implemen a ion s anda dizes da a in e p e a ion, making in eg a ion wi h di e se da ase s mo e e icien .
The Con ac ing F amewo k is managed h ough he EDDIE Da a Ma ke place, which enables he
de ini ion and execu ion o con ac s o da a ansac ions. While speci ic s anda ds a e no men ioned,
he implemen a ion ollows DSSC p ac ices o ensu e s uc u ed and legally sound ag eemen s. This
app oach suppo s da a mone iza ion and c owdsou cing aluable da ase s, ensu ing ha con ac ual
p ocesses align wi h he needs o he ene gy sec o .
Fo Publica ion & Disco e y, he EDDIE F amewo k employs a Eu opean Mas e Da a Model o
connec mul iple da a spaces, ensu ing b oad da a accessibili y. By making da ase s a ailable h ough
s anda dized publica ion and consump ion me hods, his componen suppo s e icien da a e ie al and
sha ing. Wi h a TRL7+ ma u i y le el, i enhances disco e abili y and accessibili y o ele an da ase s
ac oss ede a ed en i onmen s.
Bluep in o he CEEDS 53
P o enance & T aceabili y a e ensu ed by es ablishing us be ween ede a ed componen s using
X.509-based signing and enc yp ion. This implemen a ion ollows eIDAS and X.509 s anda ds, ensu ing
secu e da a au hen ica ion and in eg i y e i ica ion. Wi h a TRL9 ma u i y le el, i p o ides a
s anda dized and widely accep ed me hod o acking da a o igins and ensu ing us wo hiness ac oss
ede a ed da a ansac ions.
Fo Access & Usage Policies, he p ojec ansla es na ional egula ions in o en o ceable access ules
using he EDDIE Da a Needs de ini ion language. This ensu es compliance wi h GDPR and he Da a
Go e nance Ac , embedding usage policies and consen mechanisms wi hin he sys em. Wi h a TRL9
ma u i y le el, he app oach ensu es ha da a access aligns wi h legal equi emen s, acili a ing secu e
and policy-complian da a sha ing ac oss s akeholde s.
Syne gies
The Da a Space Connec o in SYNERGIES builds upon he implemen a ion alida ed in he SYNERGY
p ojec and has been ex ended o suppo he da a-sha ing needs o he ene gy alue chain. I aligns
wi h he Gaia-X a chi ec u e (22.10 Release) and IDS RAM, ensu ing compliance, in e ope abili y, and
da a so e eign y. The implemen a ion is a TRL6 and expec ed o each TRL7 a e alida ion in la ge-
scale demons a o s. This app oach ensu es obus , amewo k-aligned in eg a ion wi h a ious da a
go e nance and in e ope abili y se ices.
Fo Iden i y Managemen , SYNERGIES employs he Secu i y, Au hen ica ion & Au ho iza ion Engine,
which cen alizes use and o ganiza ion au hen ica ion using Keycloak, which is cu en ly in eg a ed wi h
OpenID Connec . This implemen a ion complies wi h OAu h 2.0 and aligns wi h he Gaia-X T us
F amewo k and IDS RAM. Cu en ly a TRL6, i is expec ed o each TRL7, p o iding a s anda dized
and in e ope able IAM sys em o secu e access ac oss he da a space.
The Logging componen is managed by he Con ac Se lemen Engine, which o e sees da a
ansac ion con ac s, ensu ing compliance and se lemen moni o ing. Fully complian wi h he IDS
Clea ing House, i e i ies con ac e ms, suppo s c yp o-paymen s, and acks emune a ion. A TRL6
and p og essing owa d TRL7, i ensu es anspa ency and us in da a-sha ing ag eemen s.
Fo he Vocabula y Hub, SYNERGIES uses he CIM Ne wo k Manage o main ain and ha monize
c oss-sec o al Common In o ma ion Models (CIM), ensu ing seman ic in e ope abili y. I suppo s
s anda ds such as IEC 62325, OpenADR3.0, SAREF4ENER, and OCPP, aligning wi h IDS RAM and
Gaia-X. Wi h a TRL7 ma u i y le el, his implemen a ion acili a es seamless da a model e olu ion and
in eg a ion ac oss sec o s.
The Con ac ing F amewo k is based on he DLT Sma Con ac Managemen Engine, le e aging
E he eum o au oma ed and legally binding da a-sha ing ag eemen s. I aligns wi h he IDS RAM and
Gaia-X Clea ing House, enabling con ac nego ia ion, execu ion, and compliance acking. Cu en ly a
TRL6 and ad ancing o TRL7, i enhances us in ede a ed da a ansac ions.
Fo Publica ion & Disco e y, SYNERGIES implemen s a Da a Ma ke place ha p o ides a cen alized
ca alogue o da a asse explo a ion. I ully aligns wi h he speci ica ions o he IDS RAM Me ada a
B oke and App S o e, ensu ing me ada a-le el anspa ency while allowing s akeholde s o na iga e

Bluep in o he CEEDS 54
and assess da ase s e icien ly. A TRL6, p og essing o TRL7, i s eamlines da a access and disco e y
ac oss ede a ed en i onmen s.
P o enance & T aceabili y mechanisms build on he Logging and Con ac ing F amewo k, ensu ing
ansac ion accoun abili y h ough dis ibu ed ledge echnologies and sma con ac s. These
mechanisms comply wi h IDS RAM and Gaia-X, main aining us and in eg i y in he da a-sha ing
ecosys em.
Finally, Access & Usage Policies a e en o ced by he Access Policy Engine, which enables ine-
g ained con ol o e da ase access and usage pe missions. I suppo s o ganiza ion-based access,
con iden iali y se ings, and policy en o cemen in alignmen wi h DSSC and IDS RAM. Cu en ly a
TRL7, i ensu es compliance wi h da a secu i y and p i acy egula ions, p e en ing unau ho ized
disclosu es.
Da a Cella
The Da a Space Connec o in Da a Cella is implemen ed using he Eclipse Da aspace Componen s
(EDC) amewo k, which p o ides modula building blocks o da a exchange. I ollows he In e na ional
Da a Spaces (IDS) Da aspace P o ocol and is cu en ly a TRL5, chosen o i s ma u i y, a ailable
documen a ion, and accep ance wi hin ela ed p ojec s.
The Iden i y Managemen componen employs a hyb id app oach using OpenID Connec (Keycloak)
o cen alized au hen ica ion and he wal .id amewo k o issuing Ve i iable C eden ials (VCs) and
Decen alized Iden i ie s (DIDs). I complies wi h he Gaia-X T us F amewo k and OpenID Connec o
o Ve i iable C eden ials (OID4VC), ensu ing compa ibili y wi h eme ging sel -so e eign iden i y
s anda ds, wi h a cu en ma u i y le el o TRL5.
Logging in Da a Cella lacks a uni ied implemen a ion, as di e en se ices u ilize independen logging
mechanisms, making i non-applicable (N/A) in e ms o ma u i y and s anda ds compliance.
Fo he Vocabula y Hub, Da a Cella has de eloped a bespoke on ology using OWL, RDF, JSON-LD,
and well-known ocabula ies like SAREF and ThinkHome. Howe e , i lacks collabo a i e edi ing and
cu a ion ea u es, making i N/A in ma u i y le el and s anda d compliance applicabili y.
The Con ac ing F amewo k is based on he IDS Da aspace P o ocol's Con ac Nego ia ion P o ocol,
implemen ed ia he EDC Connec o amewo k. I enables au oma ed con ac nego ia ion be ween
connec o s and in eg a es a cus om Ma ke place Ecosys em o da ase access. A TRL5, his app oach
ensu es s uc u ed and en o ceable da a-sha ing ag eemen s.
The Publica ion & Disco e y componen is based on a modi ied o k o he XFSC Fede a ed
Ca alogue, ensu ing compliance wi h he Gaia-X T us F amewo k. I p o ides a s anda dized way o
pa icipan s o publish and que y da a o e ings, cu en ly a TRL5. P o enance & T aceabili y
mechanisms a e indi ec ly suppo ed h ough he Gaia-X Digi al Clea ing House (GXDCH) o e i ying
da ase p o enance and he Ma ke place o ansac ion acking. Though no explici ly de eloped o
his unc ion, hey p o ide a baseline o us and accoun abili y, wi h a TRL5 ma u i y le el.
Las ly, Access & Usage Policies a e en o ced using he EDC policy engine, complemen ed by a
cus om ex ension o Ve i iable P esen a ion exchange. I ollows s anda ds such as ODRL, JWT, and
Bluep in o he CEEDS 55
W3C Ve i iable C eden ials and is cu en ly a TRL5, wi h an ex e nal Policy Decision Poin (PDP)
planned o enhance decision-making capabili ies.
Omega-X
The Da a Space Connec o in OMEGA-X is implemen ed using Eclipse Da aspace Componen s
(EDC), wi h an ex ended en e p ise- eady "Connec o -as-a-Se ice" (CaaS) p o ided by so i y. I
ollows he Da a Space P o ocol (DSP) o con ac nego ia ion and secu e da a ans e s, ensu ing
in e ope abili y. Wi h a TRL7 ma u i y le el, his app oach simpli ies adop ion o non- echnical pa ne s,
b oadening pa icipa ion in da a space solu ions.
The Iden i y Managemen solu ion consis s o an IDSA-compa ible DAPS, a PKI based on EJBCA, and
a Ve i iable C eden ial (VC) issue using OID4VCI. I complies wi h bo h IDSA and Gaia-X T us
F amewo ks and is cu en ly a TRL5, chosen o i s seamless in eg a ion wi h he connec o and
in e ope abili y wi h o he p ojec s.
Fo Logging, a Kube ne es logging ope a o using Fluen d and Fluen bi p o ides memo y- and ile-
based bu e ing o p e en da a loss. While i ollows s anda d logging p ac ices, i is a TRL4, as u he
de elopmen is needed o ull-scale implemen a ion. The Vocabula y Hub consis s o a Common
Seman ic Da a Model (CSDM), a ailable on Gi Hub, and will la e be published in he Seman ic
T eehouse o he ENERSHARE p ojec . I ollows on ology-based REST API s anda ds such as
OPENAPI and JSON-LD and is a TRL5, chosen o i s abili y o enhance ma ke adop ion and
eusabili y o da a models.
The Con ac ing F amewo k is based on Gaia-X speci ica ions and is implemen ed as a ma ke place
ede a o o managing o e ings and ansac ions. I ensu es in e ope abili y, compliance wi h
egula ions, and anspa ency, making i ideal o mul i-p o ide ecosys ems. Cu en ly a TRL4, i
acili a es us and lexibili y in con ac managemen . Fo Publica ion & Disco e y, OMEGA-X uses
a Gaia-X Fede a ed Ca alogue ins ance, complian wi h Docke and Py hon 3.12. I is a TRL5,
p o iding e icien da a sha ing while ensu ing compliance, scalabili y, and anspa ency.
The P o enance & T aceabili y componen is managed h ough he Gaia-X Digi al Clea ing House
(GXDCH), which ensu es da a in eg i y, aceabili y, and audi abili y ac oss p o ide s. Wi h TRL4
ma u i y, i suppo s secu e and immu able ansac ion logging.
Access & Usage Policies a e also go e ned by he GXDCH, p o iding a s anda dized amewo k o
managing da a low, ensu ing compliance, and en o cing secu i y measu es. A TRL4, i enhances
accoun abili y and con ol o e da a usage wi hin he ecosys em.
Ene sha e
Ene sha e p ima ily uses he TNO Secu i y Ga eway (TSG) e sion 1 as da aspace connec o . The
TSG is an IDSA-ce i ied connec o aligned wi h he IDSA Re e ence A chi ec u e Model 4, wi h a high
ma u i y le el (TRL 8-9). The Ene gy Da a Space Connec o 1.1 is also used, based on he OneNe
Connec o , bu i does no ye suppo he Da a Space P o ocol (DSP); i s TRL is 7-8, wi h ull DSP
in eg a ion planned o 2025.
Bluep in o he CEEDS 56
Iden i y Managemen is handled by Keycloak o indi idual use s and he TSG iden i y p o ide (IDP)
o da a space pa icipan s, wi h compliance o IDSA RAM 4. Keycloak has a TRL o 9, while he TSG
IDP is a TRL 8-9, ensu ing secu e au hen ica ion and au ho iza ion ac oss se ices.
Fo Logging, he Clea ing House logs me ada a and ansac ion de ails, ensu ing compliance wi h da a
usage policies and con ac ag eemen s. I does no ollow speci ic s anda ds beyond REST APIs and
has a TRL o 5-6, chosen o i s abili y o in eg a e wi h connec o s and ma ke places o p o ide e i iable
ansac ion eco ds.
The Vocabula y Hub is implemen ed h ough Seman ic T eehouse, complian wi h IDSA RAM 4 and
suppo ing a ious open s anda ds like RDFS/OWL, SHACL, and JSON schema. Co e modules a e a
TRL 9, while newe modules like he message model wiza d a e a TRL 5-7, ensu ing s uc u ed da a
managemen and in e ope abili y.
The Con ac ing F amewo k in ENERSHARE uses blockchain and sma con ac s based on he
ERC20 s anda d o okenized ansac ions. Wi h a TRL o 6-7, his implemen a ion ensu es secu e and
au oma ed con ac execu ion, enhancing anspa ency and us in da a exchanges.
Fo Publica ion & Disco e y, he TSG-based Me ada a B oke is used, complian wi h IDS-RAM 4,
wi h a TRL o 7-8. I enables s uc u ed me ada a managemen and in eg a es wi h he ma ke place o
e icien da a disco e y.
Access & Usage Policies a e en o ced using TSG and Ene gy Da a Space Connec o modules, wi h
XACML-based policies, and Eclipse Da aspace Componen s (EDC), using ODRL. The TSG- and TRUE-
based implemen a ions ha e a TRL o 6-7, while he EDC-based implemen a ion is a TRL 5-6, ensu ing
lexible and s anda ds-complian policy en o cemen o secu e da a access.
5.3. Business Use Case Realiza ion in CEEDS A chi ec u e
This sec ion explains he ealiza ion o selec ed BUC scena ios using he CEEDS a chi ec u e and
deployed building blocks. The co esponding sequence diag ams (in sec ion 3) illus a e he da a
exchange wi hin hese scena ios, p o iding insigh in o how CEEDS can acili a e seamless da a low.
BUC#1: Collec i e sel -consump ion and op imized sha ing o ene gy communi ies
Scena io 1: In BUC#1, he DER sizing and economic e alua ion o he REC/CEC business model is
ini ia ed when a consume eques s he se ice, in ol ing ac o s such as ene gy se ice companies,
ade s, ma ke in o ma ion agg ega o s, esou ce agg ega o s, FSPs, and sub-me e da a hub
ope a o s. To suppo his use case, consump ion and gene a ion p o iles, as well as a i da a, mus
al eady be a ailable in he da a space. These inpu s a e accessed using he Publica ion & Disco e y
building block o ensu e he igh da ase s a e disco e able and accessible o au ho ized se ice
p o ide s.
The Da a Space Connec o enables secu e da a exchange be ween he da a p o ide s (such as sub-
me e ing hubs o agg ega o s) and he analy ics se ices ope a ed by ESCOs o agg ega o s. Iden i y
Bluep in o he CEEDS 57
Managemen is used o e i y and au ho ize he eques ing se ice p o ide and ensu e us ed access
o consume da a.
Once he necessa y da a is e ie ed and p ocessed, he op imal REC/CEC sizing in o ma ion is
p oduced. To ensu e he ou pu da a and any con ac ual e ms (i applicable) a e e i iable and
aceable, P o enance & T aceabili y and Logging componen s may be used. I he se ice is o e ed
h ough a ma ke place model, he Con ac ing F amewo k could be used o o malize se ice
ag eemen s o p icing models associa ed wi h he sizing ecommenda ions.
These CEEDS componen s, wo king oge he , acili a e secu e, disco e able, and in e ope able da a
access while p ese ing us and anspa ency ac oss he in ol ed ac o s in he da a space.
Scena io 2: Es ima ion o Flexibili y Po en ial and Ene gy Cos Sa ings om The mal Domes ic Loads
The scena io is igge ed when a consume eques s he se ice, engaging ac o s such as ene gy
se ice companies, ade s, ma ke in o ma ion agg ega o s, esou ce agg ega o s, lexibili y se ice
p o ide s (FSPs), and sub-me e da a hub ope a o s. The success ul execu ion o his use case equi es
ha echnical me ada a abou he EWH (e.g. ank olume, hea ing powe ), his o ical showe pa e ns
(du a ion and iming), and senso da a (such as ou le wa e empe a u e) a e al eady a ailable in he
da a space. These inpu s a e disco e ed h ough he Publica ion & Disco e y building block, ensu ing
au ho ized ac o s can iden i y and access he necessa y da ase s. Da a exchange be ween he sub-
me e da a hub and he analy ical se ices un by ESCOs o agg ega o s is secu ed using a Connec o .
Iden i y Managemen componen s au hen ica e and au ho ize access o ensu e only e i ied en i ies
in e ac wi h sensi i e household-le el da a. Once e ie ed, he da a is analysed— ypically h ough
digi al wins o load disagg ega ion models— o es ima e he mal lexibili y and compu e po en ial cos
sa ings by shi ing EWH ope a ion o o -peak hou s o aligning wi h dynamic p icing. To ensu e
audi abili y and us , P o enance & T aceabili y componen s eco d da a lows and ans o ma ions.
Logging mechanisms u he ein o ce anspa ency in da a p ocessing. I he se ice is o e ed
comme cially, a Con ac F amewo k may be employed o au oma e p icing and o malize ag eemen s
o ongoing lexibili y se ice p o ision.
Scena io 3: E alua ion o Po en ial Re enues om Flexibili y Ma ke Pa icipa ion
This scena io is ini ia ed when a consume eques s and in ol es ac o s such as ene gy se ice
companies, ade s, ma ke in o ma ion agg ega o s, esou ce agg ega o s, FSPs, and sub-me e da a
hub ope a o s. The se ice elies on he a ailabili y o consump ion and gene a ion se ies, along wi h
ele an a i da a, which a e accessed h ough he Publica ion & Disco e y componen . Da a exchange
is secu ed using a Connec o , and Iden i y Managemen ) ensu es au ho ized access o sensi i e
consump ion da a. Once collec ed, hese da ase s a e p ocessed by he ESCO o agg ega o o
compu e indi idual and collec i e ene gy bills wi hin he communi y. The Con ac F amewo k may
de ine billing logic o compensa ion models among membe s. P o enance & T aceabili y suppo s
anspa ency in da a o igin and p ocessing, while Logging mechanisms ensu e audi abili y o he billing
Bluep in o he CEEDS 64
The alue-added mechanisms in ol e a a ie y o se ices; SYNERGIES ca ego izes hem in (i) da a
se ices (including he moni o ing and ce i ica ion o da a asse o igins as well as da a obse abili y
se ice o moni o he s a us o each ac i e da a check-in pipeline), (ii) gene ic se ices (e.g., p i acy
p ese a ion se ices, enc yp ion se ice, access policy se ice – which de ine he esolu ion and which
pa o he da a asse is accessed - secu i y, au hen ica ion & au ho isa ion se ices) and (iii) AI se ices
as well as (i ) applica ion se ices dedica ed o he da a analysis, insigh ex ac ion (e en p e- ained
o ene gy applica ions) also ela ed o he p ojec use cases.
ENERSHARE iden i ies wo added- alue se ices o suppo he oll-ou o se ices in he CEEDS: (i)
ba e mone iza ion and incen i es module, which e alua es he in insic da a alue and enabling da a
mone iza ion schemes, and (ii) da a ans o ma ion se ice, based on a syn ac ic model o ansla e
p ima y da a in o a seman ic da a ep esen a ion. Fo example, ENERSHARE’s ede a ed lea ning
pla o m enables aining decen alized da a ac oss mul iple de ices, allowing seamless agg ega ion o
models ained on local da a while p omo ing knowledge sha ing. Addi ionally, he added alue o he
enhanced se ice o mul i-ene gy lexibili y po en ial assessmen is he suppo o da a-d i en models
o use p o iling, a he han jus s a is ically-based models o he household. In gene al, he p ojec s
highligh he need o es ablish clea incen i es o da a sha ing, while s ill ensu ing da a p i acy as a
complemen o plain da a exchange.
Addi ionally, DATA CELLAR p ojec deli e s a comp ehensi e sui e o alue-added se ices,
s a egically designed o maximize he bene i s o ich da a ansac ions wi hin he da a space. Re lec ing
on he c ucial aspec s o pa icipa ion managemen and use in e ac ion, he p ojec ocuses on
enhancing use aining and engagemen o maximize he adop ion and usabili y o he deployed
echnologies.
The business mechanisms o he compensa ions ely on ansac ion schemes ha will be egula ed
by o malized da a con ac empla es and enable secu e and us ed da a asse sha ing, ading and
ba e ing, while allowing ene gy da a alue chain s akeholde s o e icien ly sea ch o da a asse s o
in e es and p o iding hem wi h in elligen ecommenda ions o ele an da a asse s o da a asse s’
p o ide s.
The compensa ion is implemen ed wi h h ee di e en app oaches:
- Da a by okens, in which he access o asse s (da a, apps, se ices) is g an ed based on
paymen using a c yp og aphic oken (speci ic o each da a space)
- Da a by da a, in which he access o asse s (da a, apps, se ices) is g an ed acco ding o
in insic alue o da a ( h ough he ba e exchange and incen i es module) allowing a da a se
o be exchange o ano he da a se wi h equi alen alue.
- Da a by cu ency (limi ed o ENERSHARE), in which he access o asse s (da a, apps, se ices)
is g an ed based on paymen on FIAT cu ency (which can be handled h ough he
ma ke place).

Bluep in o he CEEDS 65
Mo eo e , he ma ke place can gene a e e enues cha ging a small pe cen age as a ansac ion ee o
each ansac ion; as he pla o m also accommoda es auc ions, which do no in ol e oken ansac ions,
a ee is applied o he pa icipa ion in i . To incen i ize pla o m usage, a s a egy could be o o e ee
access o auc ions o a use 's ini ial pa icipa ion and hen, a ixed subsc ip ion cos .
SYNERGIES implemen s a “Con ac Se lemen Engine” which is esponsible o handling he paymen
o he mone a y cos o he ul ilmen o he coun e p ice (e.g. o he da ase ) in o de o ac i a e a sma
con ac ha has been al eady duly signed by he legal ep esen a i es o he in ol ed pa ies. The
Con ac Se lemen Engine enables (i) se lemen o da a ba e ing ag eemen s (e.g., g anula i y le els
and ime ames), (ii) Se lemen o mone a y ansac ions o da a sha ing ag eemen s ( e i ying he
money exchange be ween he ela ed da a asse p o ide (s) and da a consume ), (iii) moni o ing o any
ac i e con ac o ensu e compliance wi h he ag eed e ms (e.g., consis en da a quali y, eshness, and
upda e a e as ag eed) issuing ale s in case he e ms o a da a sha ing con ac a e no espec ed, and
o e mina ing a con ac in case o b eached e ms. The Sma Con ac Se lemen Engine consis s
o : (a) a back-end componen ha is de eloped on NodeJS and in pa icula on he Nes JS amewo k,
(b) a blockchain laye , le e aging he E he eum dis ibu ed pla o m and (c) a on -end componen ha
builds on VueJS and TailwindCSS.
DATA CELLAR solu ions wo k wi h licenses associa ed wi h he digi ized objec s ha ep esen ene gy
asse s (bo h da ase s and AI models). I wo ks wi h blockchain, using speci ic sma con ac s w i en in
Solidi y ha adminis e he exchanges in e ms o economics and asse s. In pa icula , wo main
s anda ds ha e been used o de ine he digi iza ion o asse s, licenses and he cu ency used o buy
and sell on he pla o m: ERC721 and ERC20, associa ed wi h he c ea ion o non- ungible and ungible
okens, espec i ely. Licenses can be o wo ypes: “pe iod” o “usage”; he o me allows he associa ed
ene gy da a o be used an unlimi ed numbe o imes, while usage licenses a e consumed each ime
hey a e used. E e y license will be associa ed wi h a speci ic amoun o DATA CELLAR Token, which
ep esen s he license p ice. The se up includes also a “balance ”, which handles he mone a y
exchange be ween okens and licenses. This componen is esponsible o making he p ac ical
exchange be ween hese wo asse s, e i ying all he cons ain s associa ed wi h he paymen (buye 's
unds and a ailabili y o he license).
EDDIE ea u es a Da a Ma ke place, whe e da a consume s can submi hei da a needs in a ea u e-
based way, enabling e.g. machine-lea ning based solu ions o c owd-sou ce da a based on
cha ac e is ics o elec ici y p osume s. As he access o ealising, ailo ed, high-quali y da a is an
impo an p e- equisi e o us wo hy models, he EDDIE Da a Ma ke place closes a e y impo an
gap. Apa om he access o eal-wo ld c owd-sou ced da a i o e s compensa ion mechanisms o
dis ibu ed da a p o ide s and da a-se ice endo s, whils p ese ing cus ome so e eign y and ull
GDPR compliance.
Bluep in o he CEEDS 66
6. CEEDS Go e nance
This sec ion p esen s p o ides an o e iew o he go e nance amewo ks and app oaches employed
by he EDSCP wi hin hei pilo p ojec s o in a-da aspace go e nance. A he same ime, iden i ying
bes p ac ices and ac ionable insigh s ha can be applied o he CEEDS ini ia i e.
6.1. Main Go e nance building blocks
Da a space go e nance aims o add ess undamen al ques ions abou egula o y dynamics, decision-
making au ho i y, s akeholde pa icipa ion, and accoun abili y wi hin a gi en da a space. I in ol es a
collec i e e o by ele an ac o s who sha e a common goal, ocusing on de e mining how decisions
a e eached, who has he au ho i y o make hem, and how hey a e communica ed and en o ced.
Go e nance o an ene gy da a space in ol es es ablishing a comp ehensi e amewo k ha dic a es
how da a is managed, accessed, and u ilized wi hin he ene gy sec o .
The new pa adigms in he managemen o ene gy lows in he ene gy sys ems (e.g., associa ed wi h
he ac i e oles o DER, e-mobili y, lexibili y solu ions) a e a ou ing unp eceden ed in e ac ions among
s akeholde s, de ailed based on he HEMRM, and, consequen ly, new s eams o da a exchange
acco ding o SGAM. Fo emos impo ance is hen assigned o he iden i ica ion o hese necessa y
in e ac ions (i.e., he s akeholde s o be in ol ed) while equipping he da a spaces wi h sys ems ha
espec policies and egula ions as well as os e ing he de elopmen and adop ion o new se ices o
eliable ene gy sys ems.
The go e nance amewo k o da a spaces is di ided in o ou dis inc laye s (c . [4]):
- Common Eu opean amewo k o da a ecosys em: p i a e-public da a go e nance (e.g., Da a
Ac o Da a Inno a ion Boa d);
- Domain-speci ic building blocks go e nance: in e -da a spaces go e nance;
- Da a space go e nance: in a-da a space go e nance;
- Go e nance o a so in as uc u e: ope a ional le el o da a space o p o ide essen ial
se ices.
This amewo k encompasses a ange o policies, p ocedu es, and echnologies designed o ensu e he
da a space ope a es secu ely, e icien ly, and in compliance wi h egula o y s anda ds. I may en ail he
iden i ica ion o s akeholde s and he de ini ion o hei oles, da a managemen policies (classi ica ion,
li ecycle e c.), access con ol and secu i y aspec s (au hen ica ion / au ho iza ion), da a sha ing
ag eemen s and go e nance bodies.
Wi hin he con ex o in a-da a space go e nance, he DSSC bluep in 2.0 deepens he o ganiza ional
and business building blocks, eaching he de ini ion o he ollowing go e nance building blocks [5]:
- O ganisa ional Fo m and Go e nance Au ho i y: Go e nance in a da a space is mul i- ace ed
and encompasses a ious key decisions. Examples o hese key decision poin s include he
scope o he da a space, he posi ion he da a space ini ia i e wishes o ake in he ecosys em,
openness conce ning en e ing pa icipan s, he suppo i wishes o a ange o i s pa icipan s,
Bluep in o he CEEDS 67
o he p inciples i wishes o implemen (e.g. democ a ic). The speci ic choices made will di e
be ween da a spaces, bu hey should aim o p omo e collabo a i e, mul i-s akeholde
go e nance o e ec i e da a space ope a ion. Da a Spaces can be ca ego ized as ei he
uninco po a ed (lacking legal pe sonali y) o inco po a ed (possessing legal pe sonali y). Fo
he Common Eu opean Da a Space, such as CEEDS, he DSSC Bluep in 2.0 [5] o e s se e al
examples o he legal o ms ha a da a space may adop :
o Eu opean Digi al In as uc u e Conso ium (a special legal o m c ea ed o Common
Eu opean Da a Spaces and special mul i-coun y p ojec s);
o Eu opean Company (a o -p o i legal en i y, simila o he limi ed liabili y company);
o Eu opean Coope a i e Socie y (a non-p o i wi h cha ac e is ics o a coope a i e and
public limi ed company); and
o Eu opean Economic In e es G ouping (a non-p o i legal en i y simila o a pa ne ship).
- Pa icipa ion Managemen : The pa icipa ion managemen building block ou lines he
ope a ional p ocesses ha a e implemen ed h ough he echnical building blocks. I conce ns
how da a ansac ions a e acili a ed wi hin he da a space. As a pa o he da a space
go e nance amewo k, a go e nance au ho i y can manda e ules and s anda ds o he
secu i y, pe o mance, in e ope abili y and obse abili y o da a ansac ions. Clea da a-sha ing
ules a e essen ial o building us be ween da a space pa icipan s and di ec ly e lec he
unc ionali y o he da a space.
In he ollowing sec ions, he implemen a ion o peculia elemen s (i.e., access con ol and secu i y,
go e nance ules and da a sha ing ag eemen s) in he EDSCP will be p esen ed. Aspec s ela ed
o in e -da a space go e nance, including in e ope abili y go e nance, a e p esen ed in Sec ion
7.1.3.
6.2. EDSCP Implemen a ions
In he ollowing sec ions, he implemen a ion o peculia elemen s (i.e., access con ol and secu i y,
go e nance ules and da a sha ing ag eemen s) in he EDSCP will be p esen ed.
6.2.1.Access con ol and secu i y
Iden i y managemen is a c i ical componen in he go e nance o an ene gy da a space, which ensu es
ha da a access and usage a e con olled, secu e, and complian wi h egula o y equi emen s.
As desc ibed in Sec ion 5.2, i e clus e p ojec s — Da a Cella , SYNERGIES, OMEGA-X,
ENERSHARE and EDDIE — ha e implemen ed iden i y managemen sys ems using a ious
app oaches and echnologies. Despi e di e ences in hei me hods, all aim o ensu e secu i y,
au hen ica ion, and in e ope abili y o iden i ies, whe he o indi idual use s o o ganiza ions. The
p ima y ocus is on managing digi al iden i ies o secu e da a and acili a e in eg a ion wi h o he
componen s and se ices.
Bluep in o he CEEDS 68
In he a ea o secu i y and au hen ica ion, all p ojec s u ilize ce i ica es o simila mechanisms o ensu e
secu e communica ion be ween en i ies. Fu he , Decen alized Iden i ie s (DID) and Ve i iable
C eden ials (VC) a e commonly used and he implemen ing solu ions a e based on es ablished
s anda ds (e.g., W3C, OpenID, SAML, OAu h).
Speci ically o managing dynamic, secu e iden i ies and ensu ing he au hen ici y and in eg i y o
in e ac ions be ween connec o s, Omega-X and ENERSHARE ocus on c ea ing an en i onmen
compa ible wi h IDSA and GAIA-X us amewo ks. Bo h p ojec s base he o ganiza ional iden i y
managemen in he implemen a ion o iden i y p o ide solu ion, as de ined by IDSA, including a
Ce i ica e Au ho i y (CA) and Dynamic A ibu e P o isioning Se ice (DAPS). This combina ion
con ibu es o he CEEDS Sys em Use Case o onboa ding and demons a ing decen alized iden i y
solu ions. Mo eo e , in he Da a Cella p ojec , a dedica ed se e is used o manage o ganiza ional
iden i ies and eques us ancho s o c eden ial signing as pe de ined in GAIA-X amewo k.
Fo Da a Cella and OMEGA-X p ojec s, he iden i y managemen solu ion is based on Sel -So e eign
Iden i y (SSI) p inciples, p ima ily u ilizing W3C Ve i iable C eden ials and Decen alized Iden i ie s
(DID). Ins ead, in ENERSHARE pilo s “Keycloak” is used o managing indi idual use s' iden i ies,
in eg a ing wi h ma ke place se ices ia OpenID, SAML, and OAu h and, addi ionally, i has adop ed
he Da aspace P o ocol o connec o in e ope abili y and aims o implemen a pa icipan walle using
DID, OID4VP, and OID4VCI. Ne e heless, in OMEGA-X, he Ma ke place Fede a o is in cha ge o
managing use egis a ions and app o als, inspi ed by Gaia-X speci ica ions.
On he o he side, SYNERGIES u ilizes a “secu i y, au hen ica ion & au ho isa ion” se ice esponsible
o iden i y and access managemen ac oss he ene gy da a space and ela ed ma ke places. This
se ice handles use and o ganiza ional li ecycle managemen , including egis a ion, e i ica ion, and
au hen ica ion. The solu ion includes single sign-on unc ionali y which acili a es secu e communica ion
and au ho iza ion pe missions ac oss a ious SYNERGIES componen s.
EDDIE is u ilising as a as possible Eu opean elec onic Iden i ica ion and Au hen ica ion Se ices
(eIDAS), no only o he au hen ica ion o da a space pa icipan s, bu also o close chains-o - us wi h
cloud-edge asse s and dis ibu ed communica ion pa icipan s. Apa om he use o eIDAS, eID and
complian ce i ica e in as uc u es, i highligh s and p omo es how he Eu opean way o iden i ica ion
and access managemen should be adop ed h oughou he whole alue chain. Fu he in o ma ion on
he EDDIE app oach can be ound in [6].
Las ly, Iden i y managemen doesn’ need o be c ea ed anew o da a space en i onmen s, especially
in a Eu opean con ex . In as uc u es egula ed and deployed ia elec onic Iden i ica ion and
Au hen ica ion Se ices eIDAS [7] p o ide p o en-in-use elec onic IDs (eIDs), ce i ica ion se ices,
and wi h i s 2024 amendmen s [8] adding he Eu opean Digi al Iden i y F amewo k – e en dis ibu ed
iden i y walle s. The Eu opean ede a ed au hen ica ion in as uc u e is up and unning o yea s in mos
Membe S a es and is se o be a e y impo an pilla in a Digi al Single Ma ke . Wi h he possibili y o
sha e iden i ica ion handles i se es as a linking pin be ween di e en wi hin-sec o da a spaces as well
as c oss-sec o ally.
Bluep in o he CEEDS 69
6.2.2. Design and implemen a ion o da a space go e nance ules
Go e nance ules a e ano he impo an aspec o gua an ee in e ope abili y ac oss ene gy da a space.
Del ing deepe in o he policies and ules designed o ensu e he da a space ope a es in compliance
wi h egula o y s anda ds on aspec s such as access con ol, isk mi iga ion and da a so e eign y, i is
possible o dis inguish di e en app oaches wi hin he di e en EDSCP.
All he clus e p ojec s a e designing a model ha is ocused on ully p ese ing he igh s o he da a
owne and on he acili a ion o assu ances o bo h he consume and he p oduce o he da a. To his
end, mos p ojec s include legal and e hical conside a ions o he design o hei go e nance models.
F om a legal pe spec i e, he legisla i e amewo ks include da a p o ec ion, cybe secu i y and ene gy
speci ic egula ions. The e hical aspec s o go e nance a e gene ally conside ed when u ilizing an
e hics-by-design me hodology and, among o he s, wo ollowing p inciples a e guiding he p ojec s
ac ions: ollowing p inciples a e guiding he p ojec s ac ions:
• C ea ion o a go e nance model ha enables da a use and da a access ensu ing compliance wi h
e hical, legal and inancial equi emen s applicable o all s akeholde s. This enables he e ec i e
exe cise o a ailable da a igh s, p o ec da a au onomy, so e eign y, and human digni y as well as
undamen al igh s o indi iduals such as he igh o p i acy and eedom om disc imina ion.
• Implemen a ion o legal ag eemen s, which sa egua d and ensu e he espec o he go e nance
model; addi ionally, compensa ion mechanisms and o he adequa e emedies a e conside ed and
ac i a ed in case o undamen al da a igh s iola ions.
On a di e en aspec , when conside ing he igh s o he se ice p o ide s, hese a e p ese ed by he
con ac s and compensa ions in he incen i e schemes ( inancial and non- inancial) ha can be ag eed
be o ehand wi h he ools p o ided by he da a space.
Rega ding he implemen a ion o he go e nance model, he EDSCP o esees he c ea ion o a body
ha exe s he powe s bo h wi hin he da a space and wi h he a ai s ela ed o c oss-da a space issues.
The ole and unc ions o he go e nance au ho i y a e s ill unde de elopmen , anyway a p oposed
app oach co esponds o a gene al assembly o membe s suppo ed by a managemen boa d. A
ede a ed model could also be adop ed o he case o a c oss-da a space go e nance, whe e he
posi ions and opinions o he di e en da a spaces can be ep esen ed and conside ed.
6.2.3. Da a sha ing ag eemen s
Ano he ele an aspec o conside wi hin he go e nance model o he CEEDS is he go e nance ules
o pa icipan onboa ding and o boa ding. These a e c i ical o he go e nance o da a spaces o
ensu e he in eg i y, secu i y, and compliance o he da a ecosys em. Onboa ding ules ensu e ha new
pa icipan s mee da a go e nance s anda ds such as secu i y, p i acy, and egula o y compliance.
O boa ding ules p e en ex-pa icipan s om accessing da a and se ices pos -exi . In his con ex ,
he p ac ice om he di e en p ojec s can be summa ized in he ways desc ibed he ea e .

Bluep in o he CEEDS 70
• Onboa ding ag eemen s. In mos p ojec s, he applica ion and e alua ion o he p ospec i e
pa icipan is conduc ed by he go e nance au ho i y. The applican will exp ess he da a
space's in ended use, and he au ho i y will check compliance wi h legal and e hical s anda ds
and i s echnical capabili ies (capabili y o deploy so wa e o p o ide/consume he da a). In he
e alua ion, he au ho i y will clea ly ou line he po en ial penal ies and consequences o non-
compliance and p ocesses o add essing and ec i ying compliance iola ions. Subsequen ly,
a sec e and unique API key will be gene a ed o he pa icipan . This key allows communica ion
wi h he da a space se ices.
Some p ojec s a e wo king on a i s d a e sion o he e ms and condi ions o ge ing in ol ed
in he da a space. These will de ine he ypes o s akeholde s admissible o egis a ion and he
oles hey can e ec i ely unde ake (e.g. da a p o ide s, da a ecipien s), he p ocesses and
echnical means employed o licensing applied o e sha ed da a o he means employed o
es ablishing da a sha ing ag eemen s, s epping on o malized and legally binding da a
con ac s.
• O boa ding ag eemen s. When looking in o he o boa ding p ocess i is impo an o men ion
ha i ep esen s he e mina ion o he ag eemen . This includes he no ice o e mina ion, da a
e ie al and dele ion as well as he e oca ion o access. The no ice o e mina ion can be ei he
issued by he pa icipan o he da a space go e nance au ho i y. Da a e ie al mus ensu e
ha all pa icipan da a is secu ely dele ed om he da a space’s sys ems o p o ec p i acy and
comply wi h da a p o ec ion egula ions and he e oca ion o access includes a sys em audi o
ensu e he e oca ion o he pa icipan ’s access.
Sec ion 7.1.3 will u he discuss go e nance aspec s in he ene gy domain and analysis o he
in e ope abili y equi emen s.
Bluep in o he CEEDS 71
7. In e ope abili y Aspec s
To ully achie e he deploymen o CEEDS, s a ing om he ede a ion o p ojec s’ da a space
ins ances, de ailed in e ope abili y measu es a e necessa y. The in e ope abili y equi emen s
desc ibed in his bluep in a e g ouped in o echnical in e ope abili y, seman ic in e ope abili y and
go e nance in e ope abili y; hey e e o he Eu opean In e ope abili y F amewo k (EIF) Toolbox [9],
add essing he applicable laye s.
7.1.1. Technical In e ope abili y
Technical in e ope abili y e e s o he minimum echnical amewo k ha is equi ed o all pa icipan s
o a da a space in he ene gy domain o be able o p ocess and unde s and he in o ma ion (me ada a)
o he se ices/da a o e ed in he da a space and be able o pe o m da a ans e s be ween hem
(pa icipan s). Speci ically, his echnical in e ope abili y amewo k co e s he ollowing aspec s:
1. Building blocks
2. Ac o s
3. Da a o ma s
4. Da a ansmission p o ocols
To implemen he a ious capabili ies in a da a space, echnology is needed. In mos o he da a spaces
he componen “da a space connec o ”, desc ibed abo e as pa o he CEEDS a chi ec u e, is used o
p o ide an endpoin , enabling ac o s o pa icipa e in a da a space. In addi ion, (sha ed) egis ies and
se ices a e needed o p o ide common/sha ed unc ionali ies in a da a space. Fo example, o egis e
he pa icipan s o a da a space.
7.1.1.1. Building Blocks
F om he echnical iewpoin , nine building blocks a e de ined, which a e g ouped in o:
- Da a in e ope abili y: capabili ies needed o he exchange o da a: (seman ic) models, da a
o ma s and in e aces (APIs). This also includes unc ionali ies o p o enance & aceabili y.
- Da a so e eign y and us : capabili ies needed o he iden i ica ion o pa icipan s and asse s
in a da a space, he es ablishmen o us and he possibili y o de ine and en o ce policies o
access and usage con ol.
- Da a alue c ea ion: capabili ies used o enable alue-c ea ion in a da a space, e.g. by
egis e ing and disco e ing da a o e ings o se ices, p o iding ma ke place unc ionali y and
enabling mone iza ion o da a sha ing.
The echnical building blocks, ini ially de ined by OPEN DEI and included in he DSSC analysis, a e
shown in he Figu e 13.
Bluep in o he CEEDS 72
F om an implemen a ion s andpoin , he e is no a di ec one- o-one co espondence be ween building
blocks and echnical componen s. O en, a single echnical componen may be associa ed wi h mul iple
building blocks.
As al eady in oduced in Sec ion 4, i is c ucial o di e en ia e be ween he con ol plane and he da a
plane. The con ol plane is esponsible o de e mining how da a is managed, ou ed, and p ocessed,
including use iden i ica ion and he en o cemen o access and usage policies. On he o he hand, he
da a plane is asked wi h he ac ual mo emen o da a. To illus a e, he con ol plane add esses use
iden i ica ion, access managemen , and policy en o cemen , while he da a plane acili a es he physical
exchange o da a. Consequen ly, he con ol plane can be s anda dized a a high le el, inco po a ing
common s anda ds o iden i ica ion and au hen ica ion. Meanwhile, he da a plane may a y ac oss
di e en da a spaces, adap ing o di e se da a exchange equi emen s. Some da a spaces p io i ize
la ge da ase sha ing, o he s ocus on message exchange, and some ollow an e en -based app oach.
The e is no uni e sal solu ion, al hough ce ain mechanisms can acili a e he collabo a ion o di e en
da a planes.
7.1.1.2. Ac o s
Apa om he building blocks, i is impo an o ha e a common de ini ion o ac o s, in line wi h he la es
implemen a ion plans o DERA, and hei possible in e ac ions. In his sense, DSBA has ecen ly
published he echnical con e gence pape
12
which has de ined he main ac o s:
- Da a Space Go e nance Au ho i y
- Da a Space
- Pa icipan
- Pa icipan Agen
12
DSBA con e gence pape is a ailable online a : h ps://digi al-s a egy.ec.eu opa.eu/en/policies/da a-go e nance-ac -
explained
Figu e 13 - Technical building blocks, p oposed by OPEN DEI and DSSC [1].
Bluep in o he CEEDS 73
- Da a Space Regis y
- C eden ial Issue
- Iden i y/Au hen ica ion & Au ho iza ion, Iden i y p o ide
Figu e 14 - Rela ions among da a spaces ac o s ( om [10]).
The Figu e 14 shows he ela ionships among he ac o s.
7.1.1.3. Da a Fo ma s
As he main e e ence, JSON cons i u es a ligh weigh , language-independen da a in e change o ma ,
easy o pa se and gene a e. I p o ides a way o c ea e a ne wo k o s anda ds-based machine-
in e p e able da a ac oss di e en documen s. Pa icula ly ele an , as speci ic p oposed solu ion is he
use o JSON-LD, which se ializes linked da a in JSON.
7.1.1.4. Da a ansmission p o ocols
The da aspace p o ocol
13
comp ises speci ica ions in ended o acili a e in e ope able da a sha ing
among en i ies go e ned by usage con ol and u ilizing web echnologies. These speci ica ions de ail
he necessa y schemas and p o ocols o en i ies o publish da a, nego ia e ag eemen s, and access
da a wi hin a da a space. To sha e da a be ween au onomous en i ies, me ada a is equi ed o acili a e
he ans e o da ase s, u ilizing a da a ans e (o applica ion laye ) p o ocol. The da aspace p o ocol
ou lines how his me ada a is p o isioned, including he deploymen o da ase s, he syn ac ic
exp ession, and elec onic nego ia ion o ag eemen s go e ning da a usage, as well as how da ase s
a e accessed using “ ans e p ocess p o ocols”. To summa ize, he da aspace p o ocol suppo s
13
Fu he in o ma ion on he Da a Space P o ocol: h ps://docs.in e na ionalda aspaces.o g/ids-
knowledgebase/ /da aspace-p o ocol/o e iew/ eadme
Bluep in o he CEEDS 80
ca ego ises ypes o da a space pa icipan s in o (‘highly likely o be’) p i a e en i ies (e.g. ga ekeepe s)
and public en i ies (e.g. public sec o bodies); while no ing ha he dis inc ion be ween he wo ypes is
somewha blu ed (e.g. as in he case o da a in e media ion se ice p o ide s, da a al uism
o ganisa ions and esea che s and esea ch o ganisa ions)
18
; suppo ing he app oach o os e ing
in e ac ion be ween compe en au ho i ies o da a in e media ion (DGA, a icle 13) and o da a al uism
(DGA, a icle 23), and po en ially o he compe en au ho i ies (DGA, a icle 7). Finally, he Eu opean
In e ope abili y Re e ence A chi ec u e iden i ies a ge use s (unde i s scope o applica ion, om wi hin
public adminis a ions) as po olio manage s, business analys s and a chi ec s; use s which may be
in ol ed in mul iple en i ies in ol ed in he de elopmen o in e ope abili y amewo ks [13].
Among o he asks (see DGA, A icle 30), he EDIB is o ad ise he Commission on c oss-sec o
s anda ds o he c ea ion o common Eu opean da a spaces, as well as o p opose guidelines o sec o -
speci ic and c oss-sec o in e ope able amewo ks o common s anda ds and p ac ices, while ensu ing
adequa e and non-disc imina o y ep esen a ion o s akeholde s in he go e nance o common
Eu opean da a spaces. In he ene gy sec o , assis ed by SGAM, he o mula ion o said in e ope able
amewo ks may be accompanied by he ele an in e ac ions o in ol ed s akeholde s, hus suppo ing
he s akeholde ’s adequa e ep esen a ion beyond he business laye , and ensu ing add essing
amewo k c ea ion h ough a holis ic and con ex -awa e app oach.
While da a in e media ion se ices unde he Da a Go e nance Ac ha e been inspi ed by common
Eu opean da a spaces
19
, and he co esponding se o ules o da a in e media ion se ices aim a
ensu ing hei adequa e ole wi hin common Eu opean da a spaces
20
, an in e media y o a da a space
(i.e. a pa y pe o ming one, mo e o all unc ions o a da a space ope a o ) may, bu mus no necessa ily
be conside ed an in e media ion se ice p o ide , and hus all wi hin he scope o he Da a Go e nance
Ac . Hence, he Ac ’s Chap e III: Requi emen s applicable o da a in e media ion se ices, is highly
ele an o da a spaces
21
.
Going u he , and app oaching he alida ion amewo k, a ious aspec s o echnical as well as
seman ic in e ope abili y o a ede a ion o da a spaces we e es ed by he clus e p ojec s. The key
challenges and lea nings o his in e ope abili y es ing a e p esen ed in he Posi ion Pape on
In e ope abili y F amewo k in Ene gy Da a Spaces [14]. The pape also highligh s he impo ance o
ools and s anda ds owa ds achie ing c oss-da a space in e ope abili y. Addi ionally, he EU’s
in e ope abili y es bed has published a guide on go e nance in e ope abili y design and con o mance
18
Types o pa icipan s: h ps://dssc.eu/space/BVE2/1071253931/Regula o y+Compliance#3.1.2-Types-o -pa icipan s
19
Re e o he guidance documen on he da a go e nance ac : h ps://digi al-s a egy.ec.eu opa.eu/en/lib a y/new-p ac ical-
guide-da a-go e nance-ac
20
Fu he explana ion on he Da a Go e nance Ac : h ps://digi al-s a egy.ec.eu opa.eu/en/policies/da a-go e nance-ac -
explained
21
Fu he explana ion on egula o y compliance: h ps://dssc.eu/space/BVE2/1071253931/Regula o y+Compliance

Bluep in o he CEEDS 81
es ing
22
, which may se e as inspi a ion o he conside a ion o go e nance aspec s as pa o a
con o mance es ing se up.
7.1.4. Fos e ing In e ope abili y in O ganiza ions
In e ope abili y go e nance as desc ibe in p e ious chap e s mus ind i s exp ession in conc e e ac ion.
To ha end i is wo h men ioning ha he in :ne p ojec has de eloped and es ed a se o p ac ical
ools and guidelines ha allow all ypes o ins i u ions es ing and con inuously imp o ing hei
“in e ope abili y ma u i y”:
• EMINENT
EMINENT is an in e ope abili y ma u i y model de eloped in he in :ne p ojec , which add esses he
need o in e ope abili y o be os e ed as a business capabili y h ough se e al key a eas. These include
communi y acili a ion – ocusing on communi y g ow h and main aining di e si y o pe spec i es –
alongside es ablishing echnical ag eemen s and acili a ing implemen a ion. EMINENT emphasizes he
impo ance o knowledge e en ion and ope a ional alignmen as o ganiza ions e ol e hei
in e ope abili y p o iciency. De eloping in e ope abili y also equi es a en ion o use base g ow h,
ool/p oduc de elopmen , and ma ke c ea ion. Essen ially, he EMINENT amewo k highligh s ha
in e ope abili y isn’ solely a echnical issue, bu equi es a holis ic app oach encompassing communi y
building, echnical s anda diza ion, and s a egic implemen a ion o ma u e as a co e o ganiza ional
capabili y.
• In MAS
The “In e ope abili y Managemen and Audi Sys em” allows en e p ises, associa ions and any o he
ype o ins i u ions o implemen a con inuous imp o emen p ocess in hei managemen p ac ices and
daily wo k. I has been modelled alongside p o en managemen sys ems such as ISO 9001, ISO 14001
o EMAS. A comp ehensi e guideline (published as an annex o he in :ne Whi ebook on “Engagemen
Towa ds In e ope abili y in Go e nance”[12]) desc ibes a s ep-by-s ep app oach o implemen In MAS.
22
Guide on go e nance in e ope abili y and design a ailable online a :
h ps://www.i b.ec.eu opa.eu/docs/guides/la es /go e nanceIn e ope abili y/index.h ml
Bluep in o he CEEDS 82
The guideline e e s o a se o checklis s and empla es ha allow o assessing he in e ope abili y
quali y le el and c ea ing he equi ed managemen a e ac s wi h limi ed e o s. Upon comple ion o
he In MAS documen a ion an AI suppo ed assessmen p ocess decides i he candida e will be allowed
o use he espec i e quali y label. The In MAS app o ed o ganiza ion a e supposed o o m a
communi y in he amewo k o In PPC, he In e ope abili y People and P ojec Connec o pla o m 27.
7.1.5. Joining Fo ces on In e ope abili y
As ou lined abo e, collabo a ion ac oss mul iple go e nance classes and en i ies is c ucial. Towa ds he
end o he in :ne p ojec , a g oup o ep esen a i es om li e ally all go e nance classes ha e o med
“The Think Tank on In e ope abili y Go e nance” (TTT). As a esul o he TTT mee ing in Vienna on
June 25, 2025, a join posi ion pape has been p epa ed ou lining insigh s and ecommenda ions on:
• Go e nance is he Co ne s one o Ene gy In e ope abili y.
• S anda diza ion Enables Global Ene gy In eg a ion.
• In e ope abili y Accele a es Inno a ion and Deca boniza ion.
• Adap able Go e nance is needed o a Dynamic Ene gy Landscape.
• Ene gy ansi ion needs c oss-sec o collabo a ion.
• A common unde s anding o in as uc u e makes us mo e esilien .
The Think Tank will be main ained and expanded as needed on he In PPC pla o m a e he end o he
in :ne p ojec .
Bluep in o he CEEDS 83
8. Conclusions
The p esen ed bluep in unde sco es he c i ical need o adop da a space solu ions wi hin he ene gy
domain, ma king a pi o al momen o he ans o ma ion o he indus y. The undamen al pilla s o da a
spaces, as highligh ed in his pape , no only os e he ac i e engagemen o key s akeholde s ac oss
he ene gy alue chain bu also p omise mu ual bene i s, anging om mone a y compensa ions o
inancial bene i s (sha ed ac oss ac o s o he alue chain) o an ele a ed quali y o se ices. A his
scope, he es ablishmen o clea ules, policies and egula o y adap a ions is a linchpin in acili a ing
ai da a exchange, pa ing he way o an open ma ke ha os e s he pa icipa ion o new ac o s,
including da a and se ice p o ide s, as well as da a consume s.
The documen del es in o an in-dep h analysis o exis ing challenges wi hin he ene gy sec o and c a s
business use cases ha o m he backbone o he CEEDS implemen a ion. The con ibu ion o his
bluep in is wo old.
Fi s , complemen a y e e ence use cases o ene gy a e de ined and chosen wi h espec o he exis ing
challenges and oppo uni ies in he domain as well as he di ec ions de ined in he EU ac ion plan
“Digi alising he ene gy sys em”. The di e si y o hese use cases (spanning h ough a eas such as
mobili y, ene gy communi ies, TSO-DSO in e ac ions, esiden ial ene gy op imiza ion, and enewables
O&M) unde sco es he bluep in 's comp ehensi e app oach. The success o hese use cases is
in ica ely ied o he widesp ead adop ion o ene gy da a spaces, necessi a ing a de ailed examina ion
o da a exchange mechanisms, equi emen s, and he in ol ed ac o s.
Consequen ly, o implemen he p esen ed use cases, an a chi ec u e o he CEEDS is p oposed. This
a chi ec u e - consis en wi h e e ence a chi ec u es used in he ene gy domain such as SGAM and
B idge DERA - en isions he in eg a ion o exis ing da a pla o ms, including speci ic business- ela ed
pla o ms, h ough he implemen a ion o a ede a ed da a space. Mo eo e , as he bluep in un olds, i
u ns i s ocus owa d iden i ying and add essing exis ing challenges in in e ope abili y a echnical,
seman ic, and go e nance le els. P ac ical ac ions and ecommenda ions a e ou lined, guiding
s akeholde s on he s anda ds and communica ion p o ocols c ucial o achie ing seamless
in e ope abili y.
Looking ahead, he clus e o ene gy da a spaces p ojec s is commi ed o u he in es iga ions aimed
a enhancing in e ope abili y, o e ing in aluable insigh s o la ge-scale eplica ions. The emphasis on
he exploi abili y and in e ope abili y o solu ions, coupled wi h he demons a ion o he CEEDS use
cases, highligh s he commi men o p ac ical applicabili y and scalabili y. The e o e, his bluep in is an
in i a ion o a b oade audience, ex ending o s akeholde s, decision-make s, and p o essionals in he
ene gy sec o . Thei ac i e engagemen is c ucial o ansla ing he bluep in 's ision in o eali y, as
ene gy da a spaces ansi ion om concep ualiza ion o angible implemen a ion in eal-wo ld scena ios.
The collabo a i e e o s o he wide communi y a e essen ial o shaping he u u e landscape o he
ene gy sec o , ushe ing in an e a de ined by inno a ion, e iciency, and sus ainabili y.
Bluep in o he CEEDS 84
The Way Fo wa d: C ea ing a Syne gy and Seeking Alignmen wi h o he Domains
Ene gy si s a he c oss sec ion o se e al c i ical Eu opean indus ies, om au omo i e o
semiconduc o s whe e agmen a ion o en limi s inno a ion and e iciency.
Fu he imp o emen s o he CEEDS bluep in should build on he CEI Sphe e Hou glass© model
(Figu e 18) [15] o p o ide a simple amewo k o help di e se s akeholde s align using a ma ke -d i en,
s anda ds-enabled app oach. The Hou glass:
• Clea ly maps business s akeholde s o echnological oles
• P o ide a simple laye ing o unc ions, om Cloud-Edge-IoT pla o m in as uc u e o da a
analy ics and use in e aces applica ions
• Will c ea e a pa hway o s anda disa ion h ough submission o he 2026 s anda disa ion
olling plan and o ISO/IEC JTC 1/SC 41.
Figu e 18 – Hou glass Model (F om CEI-Sphe e [15]).
Addi ionally, u he imp o emen s should also d aw on he wo k o he DSSC and O-CEI
23
o c ea e
eusable building blocks ha can help Eu opean echnology s akeholde s build be e , as e . F om a
p oblem-sol ing, business-d i en iewpoin , echnological b idges such as he o e ed by O-CEI pla o m
will help ma e ialise a common Eu opean iew in ene gy communi ies suppo ed by open-sou ce
In e ne o Things and A i icial In elligence.
Toge he , hey will also con ibu e o shaping s anda ds on he con inuum (e.g., h ough he p elimina y
wo k i em on a chi ec u e conside a ions on IoT, Cloud, Edge
24
). The wo k o CEI-Sphe e can suppo
u u e ene gy da aspace p ojec s, including INSIEME as well as he p ojec TwinEU
25
, which applies
da a spaces p inciples o enable digi al wins’ da a and model exchange o he ene gy sys em.
23
Websi e o he p ojec O-CEI: (h ps://o-cei.eu/)
24
Re e o he wo k o ISO/IEC JTC1/SC41
25
Fo u he in o ma ion on he TwinEU p ojec , please e e o he p ojec websi e: h ps:// wineu.ne /
Bluep in o he CEEDS 85
Ongoing P ojec INSIEME
Answe ing Digi al Eu ope P og amme Call DIGITAL-2024-CLOUD-AI-06-ENERSPACE, P ojec
INSIEME
26
aims o deploy a eliable, secu e, and sus ainable CEEDS, applying he abo emen ioned
use cases on u he s eps owa ds indus ialisa ion. This ini ia i e aligns wi h he Eu opean S a egy o
Da a and he EU Ac ion Plan on digi alizing he ene gy sys em, adop ed in Oc obe 2022, as highligh ed
in he COMMISSION STAFF WORKING DOCUMENT[16] on Common Eu opean Da a Spaces. The
plan ou lines key ac ions o es ablish he common Eu opean ene gy da a space, consolida ing a
comp ehensi e and cohe en EU amewo k o da a exchange and in e ope abili y in he sec o .
Many key pa icipan s on he i e Ene gy Da a Space sis e p ojec s and he in :ne CSA ha e eamed
up wi h key Eu opean o ganisa ions and indi iduals in he win ansi ion o p o ide – in co-ope a ion
wi h he DSSC - a uni ied, s eamlined and secu ely deployed da a space o use cases desc ibed in
his documen .
26
Fo u he in o ma ion on he INSIEME P ojec , please e e o he p ojec websi e: h ps://insieme.ene gy/

Bluep in o he CEEDS 86
9. Re e ences
[1] “Bluep in 1.0 - Da a Spaces Suppo Cen e.” Accessed: Sep . 14, 2025. [Online]. A ailable:
h ps://dssc.eu/space/BVE/357073006/Da a+Spaces+Bluep in + 1.0
[2] B. O o, M. Ten Hompel, and S. W obel, Eds., Designing Da a Spaces: The Ecosys em
App oach o Compe i i e Ad an age. Cham: Sp inge In e na ional Publishing, 2022. doi:
10.1007/978-3-030-93975-5.
[3] “IDS-RAM 4 - Roles in he In e na ional da a spaces”.” [Online]. A ailable:
h ps://docs.in e na ionalda aspaces.o g/ids-knowledgebase/ /ids- am-4/laye s-o - he- e e ence-
a chi ec u e-model/3-laye s-o - he- e e ence-a chi ec u e-model/3-1-business-
laye /3_1_1_ oles_in_ he_ids
[4] “OPEN DEI - S a e o he A .” Accessed: Sep . 14, 2025. [Online]. A ailable:
h ps://in e na ionalda aspaces.o g/wp-con en /uploads/dlm_uploads/Repo -OPENDEI-S a e-o -
he-A .pd
[5] “Da a Spaces Bluep in 2.0 - Home - Bluep in 2.0 - Da a Spaces Suppo Cen e.” Accessed:
Ma . 28, 2025. [Online]. A ailable:
h ps://dssc.eu/space/BVE2/1071251457/Da a+Spaces+Bluep in + 2.0+-+Home
[6] EDDIE P ojec , Iden i ica ion and Au hen ica ion in a Common Ene gy Da a Space”. P ojec
EDDIE, 2024. [Online]. A ailable: h ps://eddie.ene gy/ iles/eddie/media/media-
lib a y/Iden i ica ion%20and%20Au hen ica ion%20in%20a%20Common%20Eu opean%20Da a
%20Space_ 1.0.pd
[7] Regula ion 910/2014 on ‘elec onic Iden i ica ion and Au hen ica ion Se ices.’” 2014. [Online].
A ailable: h ps://eu -lex.eu opa.eu/eli/ eg/2014/910/oj/eng
[8] Regula ion amending Regula ion (EU) 910/2014 adding he ‘Eu opean Digi al Iden i y
F amewo k.’” 1183 2024. [Online]. A ailable: h ps://eu -lex.eu opa.eu/eli/ eg/2024/1183/oj/eng
[9] “Eu opean In e ope abili y F amewo k (EIF) Toolbox | In e ope able Eu ope Po al.” Accessed:
Sep . 14, 2025. [Online]. A ailable: h ps://in e ope able-eu ope.ec.eu opa.eu/collec ion/iopeu-
moni o ing/solu ion/eu opean-in e ope abili y- amewo k-ei - oolbox
[10] “Technical Con e gence – Discussion Documen ”,” Da a Spaces Bus. Alliance, Ap . 2023.
[11] “Eu opean (ene gy) da a exchange e e ence a chi ec u e 3.1 - Publica ions O ice o he EU.”
Accessed: Sep . 14, 2025. [Online]. A ailable: h ps://op.eu opa.eu/en/publica ion-de ail/-
/publica ion/6c3b1add-a0a7-11e -85 0-01aa75ed71a1/language-en
[12] L. Ka g and M. S. Mugica, “in :ne – D4.3 Engagemen Towa ds In e ope abili y in Go e nance
(V 1.0,” J Jimeno Hua e, No . 2023, [Online]. A ailable: h ps://in ne .eu/ esou ces/ echnical-
esou ces
[13] “EIRA | In e ope able Eu ope Po al.” Accessed: Sep . 14, 2025. [Online]. A ailable:
h ps://in e ope able-eu ope.ec.eu opa.eu/collec ion/eu opean-in e ope abili y- e e ence-
a chi ec u e-ei a/solu ion/ei a/ elease/ 300
Bluep in o he CEEDS 87
[14] S. Jimenez, In e ope abili y F amewo k in Ene gy Da a Spaces. In e na ional Da a Spaces
Associa ion, 2023. doi: 10.5281/zenodo.10117882.
[15] “Hou glass Model 2025.” Accessed: Sep . 14, 2025. [Online]. A ailable:
h ps://zenodo.o g/ eco ds/16574644
[16] “Second s a wo king documen on da a spaces | Shaping Eu ope’s digi al u u e.” Accessed:
Sep . 14, 2025. [Online]. A ailable: h ps://digi al-s a egy.ec.eu opa.eu/en/lib a y/second-s a -
wo king-documen -da a-spaces
Bluep in o he CEEDS 88
10. Lis o Figu es
Figu e 1 - Ensu ing alignmen be ween he DSSC and he CEEDS Bluep in s. ..................................... 7
Figu e 2 - Possible ecosys ems s a egies o da a spaces (adap ed om [2]). ................................... 10
Figu e 3 - Iden i ied e e ence use cases o CEEDS. .......................................................................... 14
Figu e 4 - Sequence diag am o he use case #1. ............................................................................... 20
Figu e 5 - Sequence diag am o he use case #2. ............................................................................... 23
Figu e 6 - Sequence diag am o he use case #3. ............................................................................... 28
Figu e 7 - Sequence diag am o he use case #4 - EV Booking Roaming Se ice. ............................ 32
Figu e 8: Sequence diag am o he use case #4 - EV Flexibili y Se ice ............................................ 33
Figu e 9 - Sequence diag am o he use case #5. ............................................................................... 36
Figu e 10 - De ini ions as basis o ules on demand esponse. ........................................................... 37
Figu e 11 - Exchange o ene gy- ela ed da a among di e en da a pla o ms (as da a space
pa icipan s). .......................................................................................................................................... 41
Figu e 12 – Comple e CEEDS a chi ec u e. .......................................................................................... 43
Figu e 13 - Technical building blocks, p oposed by OPEN DEI and DSSC [1].................................... 72
Figu e 14 - Rela ions among da a spaces ac o s ( om [10]). ............................................................... 73
Figu e 15 - Go e nance in e ope abili y in he DERA 3.1 model ( om [11]). ....................................... 75
Figu e 16: SGAM plus: he 6 h laye "F amewo k" ( om [12]). ............................................................. 77
Figu e 17: In e ac ion o go e nance classes and iden i ica ion o ela ed suppo ing amewo ks ( om
[12]). ....................................................................................................................................................... 78
Figu e 18 – Hou glass Model (F om CEI-Sphe e [15]). ........................................................................ 84
Bluep in o he CEEDS 89
11. Lis o Tables
Table 1 - Ca ego ies o da a spaces. .................................................................................................... 11
Table 2 - Summa y o he BUCs. .......................................................................................................... 14
Table 3 - Da a spaces objec i es wi h espec o he BUCs. ................................................................ 15
Table 4 - Scena ios o he use case #1. ............................................................................................... 19
Table 5 - Scena ios o he use case #2. ............................................................................................... 22
Table 6 - Scena ios o he use case #3. ............................................................................................... 26
Table 7 - Scena ios o he use case #4. ............................................................................................... 31
Table 8 - Scena ios o he use case #5. ............................................................................................... 35
Table 9 - P ojec speci ic implemen a ions o CEEDS Building Blocks ................................................. 51
Bluep in o he CEEDS 96
Vi ual Powe Plan s (VPPs): A cloud-based dis ibu ed powe plan ha agg ega es he capaci ies o
he e ogeneous Dis ibu ed Ene gy Resou ces (DER) o he pu poses o enhancing powe gene a ion,
as well as ading o selling powe on he elec ici y ma ke .
Vocabula y Hub: P o ides endpoin s o seamless communica ion wi h da a space connec o s and
in as uc u e componen s, s o ing and documen ing ocabula ies, ensu ing compliance wi hin CEEDS.

CONTACT
In e ope abili y Ne wo k o he Ene gy
T ansi ion (in :ne )
c/o F aunho e -Gesellscha zu Fö de ung
de angewand en Fo schung e. V.
Hansas asse 27c, 80686 Munich
Ge many
mail: in o@in ne -p ojec .eu