D6.8: HYPERGRYD Wiki public final version and White Book

HYPERGRYD. This p ojec has ecei ed unding om he Eu opean Union’s Ho izon 2020 esea ch and
inno a ion p og amme unde g an ag eemen No 101036656
WP6 – Communica ion and Dissemina ion
Task 6.2 Exploi a ion o ien ed Dissemina ion
D6.8 HYPERGRYD Wiki public inal
e sion and Whi e Book
Re . A es(2025)794617 - 01/02/2025
D6.8 HYPERGRYD Wiki public inal e sion and Whi e Book
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DISCLAIMER
The opinion s a ed in his epo e lec s he opinion o he au ho s and no he opinion o he
Eu opean Commission.
All in ellec ual p ope y igh s a e owned by HYPERGRYD conso ium membe s and a e p o ec ed by
he applicable laws. Rep oduc ion is no au ho ised wi hou p io w i en ag eemen .
The comme cial use o any in o ma ion con ained in his documen may equi e a license om he
owne o ha in o ma ion.
ACKNOWLEDGEMENT
This p ojec has ecei ed unding om he Eu opean Union’s Ho izon 2020 esea ch and inno a ion
p og amme unde g an ag eemen Nº 101036656.
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P ojec
P ojec Ac onym
HYPERGRYD
P ojec Ti le
Hyb id coupled ne wo ks o he mal-elec ic in eg a ed Sma Ene gy Dis ic s
G an Ag eemen
numbe
101036656
Call iden i ie
H2020-LC-GD-2020
Topic iden i ie
LC-GD-2-1-2020
Inno a i e land-based and o sho e enewable ene gy echnologies and hei
in eg a ion in o he ene gy sys em
Funding Scheme
Resea ch and Inno a ion Ac ion
P ojec du a ion
42 mon hs (F om 1 Oc obe 2021)
Coo dina o
ARCbcn
Websi e
h p://hype g yd.eu
Deli e able
Deli e able No.
D6.8
Deli e able i le
HYPERGRYD Wiki public inal e sion and Whi e Book
Desc ip ion
This documen b ings oge he all he p ojec 's esul s in a Whi e Book o ma . I also
con ains he glossa y in wiki o ma , which is a ailable on he HYPERGRYD websi e.
WP No.
WP6
Rela ed ask
T6.2 – Exploi a ion o ien ed Dissemina ion
Lead Bene icia y
2 - COMET
Au ho (s)
COMET, EIM
Con ibu o (s)
ARCbcn
Type
OTHER
Dissemina ion
PU Public
Language
English – GB
Due
31/01/2025
Submission da e
1/02/2025
Ve sion
Da e
Au ho s
Desc ip ion
V0.1
28/01/2025
COMET
Table o con en s
V0.2
29/01/2025
COMET
Fi s d a
V2.0
31/01/2025
COMET
Re iew
V2.1
01/02/2025
ARCbcn
Final e sion o submission
Execu i e Summa y
The goal o he HYPERGRYD p ojec is he de elopmen o a se o eplicable and scalable cos e ec i e
echnical solu ions o allow he in eg a ion o enewable ene gy sou ces (RES) wi h di e en
dispa chabili y and in insic a iabili y in he mal g ids, as well as ensu e hei link wi h he elec ical
g ids, including he de elopmen o inno a i e ha dwa e componen s and ICT ools o he mo e
e ec i e handling o he inc eased complexi y o he sys ems om building o local ene gy communi y
(LEC) le els and beyond, and accele a e he sus ainable ans o ma ion, planning and mode niza ion
o Dis ic Hea ing and Cooling (DHC) owa ds 4 h and 5 h gene a ion.
The HYPERGRYD p ojec aims o each h ee o e -a ching gene al objec i es:
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• To p o e sma ene gy ne wo ks as he u u e o e icien ene gy managemen in DHC in
syne gy wi h he elec ical g ids in LEC/sma ci ies o he u u e,
• To de ine he oadmap o design and plan u u e DHC as well as he mode niza ion o he
exis ing ones in di e en clima es and RES pene a ion le els owa d 4 h-5 h gene a ion,
• To demons a e HYPERGRYD RES-based enabling echnologies, sma ene gy g id solu ions
empowe ed by new ICT ools and se ices as he key o his e olu ion.
Du ing he p ojec , he HYPERGRYD solu ions ha e been implemen ed ac oss ou li e-In-labs (LILs) in
h ee ep esen a i e clima es, wi h special conside a ion o hei cos e ec i eness and po en ial
eplicabili y o inally achie e hese h ee main objec i es.
This documen (D6.8) con ains all he in o ma ion collec ed and de eloped o c ea e he HYPERGRYD
whi e book. I also includes a glossa y (wiki-s yle) wi h all he upda ed e ms.
On behal o au ho s,
The COMET eam
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Table o Con en s
Execu i e Summa y ......................................................................................................... 3
1 In oduc ion .......................................................................................................... 9
1.1 Challenges in Renewable In eg a ion and Hyb id G id De elopmen ..................... 9
1.2 Digi al T ans o ma ion o Ene gy Sys ems ............................................................... 9
1.3 P ojec Scope and Objec i es ................................................................................. 10
1.4 Comp ehensi e Impac App oach .......................................................................... 10
1.5 S uc u e o he Documen ..................................................................................... 11
1.6 Abb e ia ions .......................................................................................................... 11
2 P ojec Objec i es and Vision ................................................................................ 16
2.1 Gene al Objec i es .................................................................................................. 16
2.2 Speci ic Technical Objec i es .................................................................................. 16
2.3 Vision o Sma Hyb id Ene gy Ne wo ks .............................................................. 17
2.4 Alignmen wi h EU Clima e and Ene gy Policies ..................................................... 18
3 Key Challenges Add essed .................................................................................... 19
3.1 Technical Challenges in In eg a ing Renewable Ene gy ......................................... 19
3.2 Enhancing Flexibili y and Resilience in DHC Ne wo ks ........................................... 19
3.3 O e coming he Ene gy Pe o mance Gap in DHC Sys ems ................................... 19
3.4 In eg a ion o Mul i-Ene gy Ca ie Sys ems .......................................................... 20
3.5 Fos e ing Consume Engagemen and Local Ene gy T ading ................................. 20
3.6 Add essing Regula o y and S anda diza ion Ba ie s ............................................. 21
3.7 Scalabili y and Cos -E ec i eness in Technology Deploymen .............................. 21
3.8 Summa y o Challenges and HYPERGRYD’s S a egic Solu ions ............................. 21
4 Inno a i e Technologies and Tools De eloped ...................................................... 22
4.1 Renewable-Based Enabling Technologies o DHC ................................................. 22
4.2 Ad anced ICT Tools o Digi al In eg a ion and Op imiza ion ................................ 22
4.3 Real-Time Con ol and Sma Ene gy T ading Tools ............................................... 23
4.4 P edic i e Main enance and Anomaly De ec ion ................................................... 24
4.5 Ad anced Visualiza ion and Use Engagemen In e aces ..................................... 24
4.6 In eg a ion and Scalabili y o he HYPERGRYD Pla o m ........................................ 25
5 Implemen a ion and Valida ion ............................................................................ 26

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5.1 Li e-in Lab Demons a ion Si es ............................................................................. 26
5.2 Valida ion P ocess and Me hodology ..................................................................... 27
5.3 Key Implemen a ion S a egies .............................................................................. 27
5.4 Scalabili y and Replicabili y .................................................................................... 28
5.5 Long-Te m Moni o ing and Con inuous Imp o emen .......................................... 29
6 Pla o m and Se ices ........................................................................................... 30
6.1 Digi al Twin o Comp ehensi e Sys em Managemen .......................................... 30
6.2 Sma Demand Response and P edic i e Con ol .................................................. 30
6.3 Pee - o-Pee (P2P) Ene gy T ading and Local Ma ke De elopmen ..................... 31
6.4 Edge Compu ing and IoT In eg a ion ...................................................................... 31
6.5 Ad anced Visualiza ion and Use In e aces .......................................................... 31
6.6 Scalabili y and In e ope abili y ............................................................................... 32
6.7 Secu i y and Da a P i acy ....................................................................................... 32
6.8 Comp ehensi e Se ices o Ope a o s and Communi ies .................................... 33
7 Business and Ma ke Po en ial .............................................................................. 34
7.1 The G owing Ma ke o Renewable-D i en DHC Solu ions .................................. 34
7.1.1 Ma ke G ow h D i e s .................................................................................................... 34
7.1.2 Ta ge Ma ke Segmen s ................................................................................................. 34
7.1.3 Ma ke Size and Oppo uni y .......................................................................................... 35
7.2 Inno a i e Business Models o Ene gy T ansi ion ................................................ 35
7.2.1 Ene gy-as-a-Se ice (EaaS) .............................................................................................. 35
7.2.2 Pee - o-Pee (P2P) Ene gy T ading .................................................................................. 35
7.2.3 Demand Response Mone iza ion .................................................................................... 36
7.3 Scalabili y and Replicabili y o HYPERGRYD Solu ions ............................................ 36
7.3.1 Technical Scalabili y ......................................................................................................... 36
7.3.2 Geog aphic Applicabili y .................................................................................................. 36
7.3.3 Ta ge ed Ma ke Segmen s ............................................................................................. 36
7.4 S akeholde Bene i s and Value C ea ion ............................................................... 36
7.4.1 Fo DHC Ope a o s........................................................................................................... 36
7.4.2 Fo Local Ene gy Communi ies (LECs) .............................................................................. 37
7.4.3 Fo Policymake s and Regula o s .................................................................................... 37
7.5 Economic Viabili y and Long-Te m Po en ial ......................................................... 37
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7.5.1 Cos -E ec i eness ........................................................................................................... 37
7.5.2 Re u n on In es men (ROI)............................................................................................. 37
7.6 Alignmen wi h Policy and Ma ke T ends ............................................................. 37
7.7 Long-Te m Vision and Global Impac ..................................................................... 38
8 S akeholde Engagemen and Dissemina ion......................................................... 39
8.1 S akeholde Engagemen S a egy ......................................................................... 39
8.2 Public Awa eness and Ou each ............................................................................. 39
8.3 Dissemina ion Ac i i ies and Channels ................................................................... 40
8.4 Knowledge Sha ing and Capaci y Building ............................................................. 41
8.5 Le e aging Demons a ion Si es o Dissemina ion ............................................... 41
8.6 Impac Maximiza ion Th ough S akeholde Collabo a ion .................................... 42
9 Expec ed Impac and Long-Te m Bene i s .............................................................. 43
9.1 En i onmen al Impac ............................................................................................ 43
9.2 Social Impac ........................................................................................................... 43
9.3 Economic Impac .................................................................................................... 44
9.4 Technological Ad ancemen s and Inno a ion ........................................................ 44
9.5 Con ibu ion o EU Policy Goals.............................................................................. 45
9.6 Long-Te m Vision and Bene i s ............................................................................... 45
10 Con ibu ions and Fu u e Di ec ions ..................................................................... 47
10.1 Summa y o Con ibu ions ..................................................................................... 47
10.1.1 Technological Inno a ions ........................................................................................... 47
10.1.2 Economic and Ma ke Inno a ions ............................................................................. 47
10.1.3 En i onmen al and Social Impac ................................................................................ 48
10.2 Challenges Ahead ................................................................................................... 48
10.2.1 Regula o y and Policy Ba ie s .................................................................................... 48
10.2.2 Ma ke and Financial Ba ie s ..................................................................................... 49
10.2.3 Technological Challenges ............................................................................................ 49
10.3 Fu u e Di ec ions .................................................................................................... 49
10.3.1 Ad ancing Hyb id Ene gy Technologies ...................................................................... 49
10.3.2 Expanding Digi al Inno a ion ...................................................................................... 49
10.3.3 Policy and Ma ke De elopmen ................................................................................. 50
10.3.4 Scaling and Global Deploymen .................................................................................. 50
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10.3.5 Knowledge Sha ing and Collabo a ion ........................................................................ 50
10.4 Vision o he Fu u e ............................................................................................... 50
11 Conclusion ............................................................................................................ 52
12 Glossa y ............................................................................................................... 53
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1 In oduc ion
The Eu opean Union's G een Deal has se an ambi ious oadmap o achie e clima e neu ali y by 2050,
posi ioning he deca boniza ion o all sec o s—pa icula ly ene gy—as a co ne s one o his ision.
Wi hin his con ex , he ole o dis ic hea ing and cooling (DHC) ne wo ks is becoming inc easingly
signi ican , as hese sys ems se e as essen ial in as uc u e o ene gy dis ibu ion, especially in
densely popula ed u ban a eas ac oss Eu ope. DHC ne wo ks can play a pi o al ole in educing
g eenhouse gas emissions by in eg a ing enewable ene gy sou ces (RES), such as sola , wind, and
biomass. Howe e , he inhe en a iabili y and in e mi ency o hese enewable sou ces p esen
unique challenges, pa icula ly o ene gy sys ems ha adi ionally ely on s eady, cen alized sou ces
o powe . The need o make DHC ne wo ks mo e esilien , lexible, and adap able is c ucial o achie ing
he EU’s sus ainabili y and ene gy e iciency goals.
The HYPERGRYD p ojec was concei ed as a di ec esponse o hese challenges, b inging oge he a
ange o echnical inno a ions and digi al ools o c ea e a nex -gene a ion hyb id ene gy g id. By
de eloping sma , hyb id DHC sys ems ha in eg a e he mal and elec ical ne wo ks, HYPERGRYD
aims o es ablish a highly lexible ene gy sys em capable o e icien ly managing and dis ibu ing
enewable ene gy. Th ough a blend o inno a i e ha dwa e solu ions and ad anced ICT ools, he
p ojec will make i possible o inco po a e di e se ene gy sou ces in o DHC ne wo ks, he eby
enabling highe le els o enewable ene gy use. HYPERGRYD’s comp ehensi e app oach will add ess
bo h echnical and ope a ional challenges, pa ing he way o new DHC sys ems ha mee he
demands o a low-ca bon, digi al economy.
1.1 Challenges in Renewable In eg a ion and Hyb id G id De elopmen
One o he mos p essing challenges in he ene gy sec o is in eg a ing a iable RES while main aining
eliable and cos -e ec i e ene gy dis ibu ion. The luc ua ing na u e o RES, such as sola and wind,
equi es sophis ica ed ene gy managemen echniques o a oid misma ches be ween ene gy supply
and demand. Addi ionally, mos exis ing DHC sys ems a e no designed o accommoda e enewable
sou ces and lack he lexibili y o ope a e a he lowe empe a u es needed o e icien enewable
in eg a ion. Add essing hese challenges demands a pa adigm shi owa ds hyb id g ids ha
seamlessly combine he mal and elec ical ene gy sys ems, enabling dis ibu ed enewable sou ces o
play a cen al ole.
In his landscape, he HYPERGRYD p ojec aims o es ablish a esilien and adap i e DHC amewo k by
employing modula and e e sible echnologies ha allow sys ems o dynamically adjus o changing
ene gy demands and wea he condi ions. Key inno a ions such as modula hea pumps, so p ion
s o age sys ems, and small-scale combined hea and powe (CHP) uni s a e designed o be easily
deployed wi hin exis ing in as uc u es, p o iding high le els o adap abili y. These echnologies a e
complemen ed by ICT-d i en ools ha enhance eal- ime decision-making and con ol, empowe ing
DHC ope a o s o op imize ene gy use and educe ca bon emissions e ec i ely.
1.2 Digi al T ans o ma ion o Ene gy Sys ems
A he co e o HYPERGRYD’s app oach is a sui e o digi al ools ha b ing ad anced da a analysis,
machine lea ning, and p edic i e capabili ies in o ene gy managemen . The p ojec in oduces an
in e ope able digi al win pla o m ha combines Building In o ma ion Modelling (BIM) and
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2 P ojec Objec i es and Vision
The HYPERGRYD p ojec aims o pionee a new e a o hyb id ene gy ne wo ks by c ea ing a eplicable
and scalable model o in eg a ing enewable ene gy sou ces (RES) in o dis ic hea ing and cooling
(DHC) sys ems. By achie ing seamless in e ope abili y be ween he mal and elec ical ne wo ks,
HYPERGRYD add esses he co e echnical, en i onmen al, and socie al challenges in building esilien ,
sma ene gy sys ems. The p ojec se s o h a comp ehensi e ision o a u u e in which DHC
ne wo ks a e no longe limi ed by hei in as uc u e bu ins ead become dynamic, adap i e, and
capable o eal- ime op imiza ion based on changing ene gy demands and enewable a ailabili y.
2.1 Gene al Objec i es
The o e a ching goal o HYPERGRYD is o de elop inno a i e, cos -e ec i e echnical solu ions ha
enable he seamless in eg a ion o RES wi hin hyb id ene gy g ids, including bo h DHC and elec ical
sys ems. To accomplish his, HYPERGRYD ocuses on h ee main objec i es:
• Objec i e 1: De elop Renewable-Based Enabling Technologies. HYPERGRYD seeks o
in oduce modula and enewable-d i en echnologies, such as e e sible hea pumps,
so p ion s o age sys ems, and small-scale combined hea and powe (CHP) uni s. These
solu ions a e designed o maximize ene gy e iciency, inc ease enewable ene gy pene a ion,
and imp o e he adap abili y o DHC sys ems o di e se ene gy demands. These echnologies
a e no only essen ial o educing CO₂ emissions bu also o mee ing peak demand mo e
e icien ly, especially in u ban se ings whe e ene gy needs a e complex and a iable.
• Objec i e 2: Demons a e he Sma Hyb id Ene gy Ne wo k Concep . HYPERGRYD will
showcase i s solu ions wi hin ou li e-in lab (LiL) demons a ion si es ha ep esen di e en
clima e condi ions and DHC ypologies ac oss Eu ope. These demons a o s will alida e he
p ojec ’s echnical ad ancemen s, pa icula ly in RES in eg a ion, ene gy s o age, and g id
lexibili y, unde eal-wo ld condi ions. The demons a ion ac i i ies will co e scena ios om
hea ing-domina ed o cooling-domina ed clima es, enabling he p ojec o ga he a wide a ay
o da a o suppo u u e scalabili y and eplicabili y.
• Objec i e 3: Es ablish HYPERGRYD as a Re e ence F amewo k o DHC Sys ems. HYPERGRYD
aims o se new s anda ds o he design, ope a ion, and planning o nex -gene a ion DHC
sys ems, os e ing a shi om con en ional ene gy ne wo ks o sma hyb id g ids. By
es ablishing bes p ac ices, in e ope abili y p o ocols, and benchma ks o hyb id DHC
sys ems, he p ojec seeks o become a e e ence o ene gy s akeholde s and policymake s
ac oss Eu ope, ul ima ely accele a ing he sus ainable ans o ma ion o DHC sys ems owa ds
he 4 h and 5 h gene a ions.
2.2 Speci ic Technical Objec i es
To achie e i s b oade goals, HYPERGRYD has iden i ied se e al speci ic echnical objec i es (STOs),
each o which add esses a c i ical componen o hyb id ene gy sys ems:
• STO 1: De elop Renewable-Based Enabling Technologies o DHC

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o Modula Hea Pumps wi h phase-change ma e ial s o age o inc eased ene gy
e iciency and educed s o age space equi emen s.
o So p ion S o age Sys ems o high-densi y ene gy s o age capable o le e aging low-
empe a u e hea sou ces, enabling mo e lexible and e icien ene gy usage.
o Small-Scale CHP Uni s wi h s eam engines, designed o cos -e ec i e, lexible
applica ions wi hin decen alized DHC sys ems.
• STO 2: Ad anced Planning and Op imiza ion Tools o DHC
o In e ope able Digi al Twin o in eg a e Building In o ma ion Modelling (BIM) wi h
Geog aphic In o ma ion Sys ems (GIS), c ea ing a cohesi e planning and moni o ing
ool o DHC sys ems.
o Exe goeconomic Models o cos -bene i and en i onmen al analysis, enabling da a-
d i en decision-making o mo e sus ainable ope a ions.
o Coupled Simula ion Models o in eg a ed managemen o mul i-ene gy ca ie s,
allowing simul aneous op imiza ion o elec ici y, gas, and hea ne wo ks.
• STO 3: Real-Time Managemen and Con ol o Hyb id Ene gy Ne wo ks
o Demand Response and P edic i e Con ol Tools o op imize ene gy dis ibu ion in
eal- ime based on demand and supply luc ua ions.
o Sma Ene gy T ading Pla o ms o local ene gy communi ies (LECs), enabling pee -
o-pee ene gy exchange and suppo ing he c ea ion o local ma ke places.
o Edge Compu ing and Machine Lea ning Models o p o ide p edic i e main enance
and load o ecas ing, educing ope a ional cos s and imp o ing g id eliabili y.
• STO 4: Valida ion o Technical Solu ions in Di e se Eu opean Clima es
o Conduc es ing and alida ion ac oss LiLs o e i y sys em pe o mance unde a ying
clima e condi ions and DHC con igu a ions.
o Op imize he de eloped echnologies o ensu e scalabili y, cos -e ec i eness, and
en i onmen al impac ac oss he p ojec ’s demons a ion cases.
• STO 5: Engage DHC and G id Use s o B oade Adop ion
o Ac i ely in ol e s akeholde s, including u ili y companies, DHC ope a o s, and
consume s, o inc ease use engagemen and accep ance.
De elop isualiza ion and use - iendly ea u es in he HYPERGRYD pla o m o encou age p osume
pa icipa ion and os e anspa ency in ene gy managemen .
2.3 Vision o Sma Hyb id Ene gy Ne wo ks
HYPERGRYD en isions a u u e whe e DHC ne wo ks se e as lexible, esilien in as uc u es ha no
only suppo bu d i e he ene gy ansi ion. By combining RES-d i en echnologies wi h ad anced
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digi al solu ions, HYPERGRYD aims o c ea e ene gy sys ems ha a e bo h en i onmen ally and
economically sus ainable. The p ojec ’s long- e m ision includes:
• Reducing he Ene gy Pe o mance Gap. HYPERGRYD aims o minimize he disc epancy
be ween as-designed and as-buil ene gy pe o mance in buildings and DHC sys ems. By using
eal- ime da a om digi al wins and machine lea ning models, ope a o s can ensu e ha DHC
ne wo ks mee design speci ica ions and main ain high e iciency o e ime.
• Enabling he Ci cula Economy in Ene gy Sys ems. In line wi h ci cula economy p inciples,
HYPERGRYD suppo s ene gy euse, enhanced esou ce managemen , and sus ainable end-o -
li e s a egies o ene gy in as uc u e. Th ough modula design and in eg a ed li ecycle
assessmen , he p ojec will make i easie o e o i , ecycle, and epu pose DHC sys em
componen s, ex ending he li espan and educing was e.
• Empowe ing Local Ene gy Communi ies (LECs). The p ojec aims o decen alize ene gy
managemen , enabling local communi ies o become ac i e pa icipan s in he ene gy g id.
HYPERGRYD’s digi al ools acili a e ene gy ading, demand esponse, and g id lexibili y,
gi ing communi ies he abili y o manage hei own ene gy esou ces mo e au onomously.
This shi p omo es local enewable in eg a ion, educes g id s ain, and empowe s consume s
o ake an ac i e ole in ene gy sus ainabili y.
• Scalabili y and Replicabili y Ac oss Eu ope. By alida ing solu ions in di e en clima e zones
and u ban con ex s, HYPERGRYD ensu es ha i s echnologies and ools a e adap able and
scalable. The p ojec ’s success will se e as a empla e o simila ini ia i es ac oss Eu ope,
o e ing a eplicable model ha o he egions can ollow o mee hei own deca boniza ion
and ene gy e iciency goals.
• C ea ing a Resilien , Adap i e Ene gy Sys em. HYPERGRYD’s ision includes a DHC ne wo k
ha can dynamically espond o changes in demand, wea he , and ene gy a ailabili y, he eby
p o iding a s able ene gy supply despi e ex e nal luc ua ions. By in eg a ing p edic i e
main enance, anomaly de ec ion, and eal- ime con ol sys ems, HYPERGRYD will enable DHC
sys ems ha a e no only ene gy-e icien bu also esilien o u u e challenges.
2.4 Alignmen wi h EU Clima e and Ene gy Policies
HYPERGRYD is ully aligned wi h he EU’s s a egic p io i ies unde he Eu opean G een Deal, as well
as speci ic clima e and ene gy ini ia i es aimed a deca bonizing he ene gy sec o . The p ojec
add esses key goals wi hin he EU’s “Clean Ene gy o All Eu opeans” package, ocusing on ene gy
sys em in eg a ion, ene gy e iciency, and inc eased enewable ene gy sha e in he DHC sec o .
Addi ionally, HYPERGRYD suppo s he EU’s Reno a ion Wa e ini ia i e by c ea ing solu ions ha
enable deep, ci cula eno a ion o exis ing in as uc u e, con ibu ing o a g eene , mo e ene gy-
e icien buil en i onmen .
The p ojec ’s ou comes a e expec ed o p o ide essen ial con ibu ions o EU clima e a ge s,
pa icula ly by educing CO₂ emissions, enhancing ene gy secu i y, and os e ing social and economic
g ow h h ough he c ea ion o local ene gy ma ke places. Th ough HYPERGRYD’s inno a ions, Eu ope
can ad ance owa d a ne -ze o ene gy sys em, d i ing a mo e sus ainable u u e o bo h p esen and
u u e gene a ions.
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3 Key Challenges Add essed
The HYPERGRYD p ojec is designed o ackle some o he mos p essing challenges aced by he
Eu opean ene gy sec o in i s ansi ion owa ds ne -ze o emissions. These challenges include he
in eg a ion o enewable ene gy sou ces (RES) in o exis ing dis ic hea ing and cooling (DHC)
ne wo ks, he need o lexibili y and esilience in ene gy g ids, and he impo ance o os e ing
consume engagemen and local ene gy ading. By add essing hese challenges, HYPERGRYD aims o
ans o m adi ional DHC sys ems in o adap able, sma hyb id g ids ha op imize bo h he mal and
elec ical ene gy esou ces.
3.1 Technical Challenges in In eg a ing Renewable Ene gy
One o he p ima y obs acles o deca bonizing DHC sys ems is he e ec i e in eg a ion o enewable
ene gy sou ces. RES such as sola , wind, and biomass ha e inhe en ly a iable ou pu s ha luc ua e
wi h wea he and ime o day, c ea ing challenges o main aining consis en ene gy supply. T adi ional
DHC sys ems a e no op imized o handle his a iabili y, as hey o en ely on high- empe a u e hea
sou ces and cen alized gene a ion ha limi lexibili y and e iciency.
HYPERGRYD’s App oach. To add ess hese challenges, HYPERGRYD is de eloping modula , RES-d i en
echnologies ha adap o a iable ene gy inpu s. Key inno a ions include e e sible hea pumps wi h
sho - e m ene gy s o age, so p ion-based he mal s o age, and small-scale combined hea and powe
(CHP) uni s. These solu ions p o ide decen alized, on-demand ene gy gene a ion ha can adap o
eal- ime a ia ions in ene gy a ailabili y. By ope a ing a lowe empe a u es and p o iding modula
lexibili y, hese echnologies make DHC sys ems mo e compa ible wi h he na u e o enewable
ene gy, enhancing g id s abili y and educing dependency on ossil uels.
3.2 Enhancing Flexibili y and Resilience in DHC Ne wo ks
As DHC sys ems in eg a e mo e enewables, hey mus also become mo e lexible and esilien o
wi hs and luc ua ions in bo h ene gy supply and demand. Mos exis ing DHC ne wo ks lack he ools
o dynamically adjus o changes in load, empe a u e, and enewable a ailabili y. Wi hou such
adap abili y, ene gy g ids a e a isk o ine iciency and se ice in e up ions, pa icula ly du ing peak
demand o ex eme wea he e en s.
HYPERGRYD’s App oach: The p ojec ’s in eg a ed digi al pla o m, ea u ing a digi al win o DHC
asse s, enables eal- ime managemen and con ol o ene gy lows wi hin hyb id g ids. Using ad anced
p edic i e models and edge compu ing, he pla o m allows ope a o s o moni o , simula e, and adjus
g id pe o mance o espond o changes in supply and demand. Addi ionally, HYPERGRYD in oduces
demand esponse and peak sha ing ools ha adjus ene gy dis ibu ion based on demand o ecas s
and esou ce a ailabili y. By enabling p oac i e, da a-d i en adjus men s, HYPERGRYD’s solu ions
enhance he esilience o DHC sys ems, ensu ing consis en and eliable se ice unde a iable
condi ions.
3.3 O e coming he Ene gy Pe o mance Gap in DHC Sys ems
One o he majo issues in ene gy managemen is he pe o mance gap be ween as-designed and as-
buil sys ems, pa icula ly in complex ne wo ks like DHC. Many DHC sys ems ope a e a highe - han
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expec ed ene gy consump ion le els due o ine iciencies, ou da ed equipmen , and subop imal
ope a ion s a egies. This gap no only unde mines ene gy e iciency bu also impac s he
en i onmen al pe o mance and cos -e ec i eness o DHC ne wo ks.
HYPERGRYD’s App oach. HYPERGRYD le e ages digi al win echnology and machine lea ning
algo i hms o b idge he ene gy pe o mance gap by p o iding eal- ime insigh s in o sys em
ope a ion. Th ough con inuous moni o ing, p edic i e main enance, and anomaly de ec ion,
HYPERGRYD’s pla o m can iden i y and add ess ine iciencies p oac i ely, ensu ing ha DHC sys ems
ope a e as close o hei design speci ica ions as possible. By using ad anced op imiza ion ools, he
p ojec educes ene gy was e, enhances sys em pe o mance, and imp o es he o e all sus ainabili y
o DHC ne wo ks.
3.4 In eg a ion o Mul i-Ene gy Ca ie Sys ems
The adi ional sepa a ion o he mal and elec ical g ids limi s he po en ial o e icien esou ce use
and ene gy exchange. In eg a ing hese sys ems in o a single, mul i-ene gy ca ie ne wo k p o ides
g ea e lexibili y bu in oduces complexi y in e ms o ope a ion, con ol, and op imiza ion.
Coo dina ing mul iple ene gy ec o s (elec ici y, hea , cooling) in eal- ime equi es ad anced ools
o modelling, simula ion, and con ol, especially as he sys em scales.
HYPERGRYD’s App oach. To add ess his challenge, HYPERGRYD is de eloping a coupled simula ion
model ha in eg a es elec ici y, gas, and hea dis ibu ion wi hin a uni ied managemen amewo k.
This ool enables DHC ope a o s o op imize mul i-ca ie ene gy lows, minimizing cos s and emissions
while enhancing g id lexibili y. By using he same pla o m o bo h he mal and elec ical sys ems,
HYPERGRYD allows o coo dina ed ene gy managemen ha le e ages he s eng hs o each ca ie
ype, such as using excess elec ici y o gene a e hea o cooling when needed. This app oach
maximizes enewable u iliza ion and p o ides a mo e esilien , in e connec ed ene gy sys em.
3.5 Fos e ing Consume Engagemen and Local Ene gy T ading
A key componen o he ene gy ansi ion is he shi om a cen alized, u ili y-d i en sys em o a
decen alized model whe e consume s ac i ely pa icipa e as “p osume s” (p oduce s and consume s
o ene gy). Engaging local communi ies in ene gy managemen enhances g id esilience and suppo s
he c ea ion o local ene gy ma ke s, which can help balance demand and supply a he communi y
le el. Howe e , cu en DHC sys ems lack mechanisms o local ene gy ading and consume
engagemen , limi ing he abili y o indi iduals and communi ies o con ibu e o and bene i om he
ene gy ansi ion.
HYPERGRYD’s App oach. HYPERGRYD in oduces a sma ene gy ading pla o m ha acili a es pee -
o-pee (P2P) ene gy exchange wi hin local ene gy communi ies (LECs). By enabling consume s o ade
excess ene gy, HYPERGRYD empowe s indi iduals o ac i ely pa icipa e in g id managemen and
bene i inancially om enewable p oduc ion. The p ojec ’s pla o m also includes use - iendly
in e aces o isualiza ion and con ol, making i easie o consume s o engage wi h and manage
hei ene gy consump ion. This decen alized app oach educes g id s ain, enhances communi y
esilience, and os e s a mo e inclusi e, democ a ized ene gy sys em.
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3.6 Add essing Regula o y and S anda diza ion Ba ie s
The lack o uni o m s anda ds and egula o y amewo ks o hyb id ene gy g ids poses a signi ican
ba ie o scaling enewable in eg a ion and DHC inno a ion. Di e en Eu opean coun ies ha e
a ying egula ions, pa icula ly ega ding ene gy ading, g id in e connec ion, and da a p i acy.
These inconsis encies c ea e challenges in implemen ing seamless, in e ope able DHC sys ems ac oss
bo de s, impeding he sp ead o bes p ac ices and echnological ad ancemen s.
HYPERGRYD’s App oach. HYPERGRYD is wo king closely wi h egula o y bodies and indus y
s akeholde s o ensu e ha i s solu ions align wi h cu en s anda ds and an icipa e u u e egula o y
needs. By de eloping an open, in e ope able pla o m wi h s anda dized da a exchange p o ocols,
HYPERGRYD aims o c ea e a eplicable model ha can be easily adap ed o di e en egula o y
en i onmen s. Addi ionally, he p ojec p o ides guidelines and bes p ac ices o hyb id g id
ope a ion, o e ing a e e ence amewo k ha suppo s policymake s and DHC ope a o s in na iga ing
egula o y equi emen s.
3.7 Scalabili y and Cos -E ec i eness in Technology Deploymen
A majo challenge o he deploymen o ad anced DHC solu ions is he high ini ial cos and scalabili y
o new echnologies, pa icula ly in exis ing in as uc u e whe e e o i ing can be complex and
cos ly. Achie ing a scalable, economically iable solu ion is essen ial o encou age widesp ead
adop ion o HYPERGRYD’s echnologies ac oss di e se Eu opean con ex s.
HYPERGRYD’s App oach. HYPERGRYD’s modula , adap able echnologies a e designed o scalabili y
and cos -e ec i eness. By employing a modula app oach, he p ojec educes ins alla ion and
ope a ional cos s, making i easie o deploy solu ions inc emen ally and scale as needed.
HYPERGRYD’s demons a ion in di e se li e-in lab se ings ac oss Eu ope ensu es ha i s echnologies
a e adap able o a ious clima es and ene gy demands. Addi ionally, he p ojec ’s digi al win and
op imiza ion ools enable mo e p ecise planning and in es men , ensu ing ha DHC ope a o s can
achie e a as e e u n on in es men h ough imp o ed e iciency and lowe ope a ing cos s.
3.8 Summa y o Challenges and HYPERGRYD’s S a egic Solu ions
HYPERGRYD’s app oach o add essing hese challenges is comp ehensi e, combining inno a i e
echnologies wi h ad anced digi al ools o op imize and ans o m DHC sys ems. By ocusing on
echnical, ope a ional, and egula o y solu ions, he p ojec is pa ing he way o a new gene a ion o
hyb id ene gy g ids ha a e sus ainable, esilien , and adap able o u u e ene gy demands. Th ough
i s a ge ed s a egies, HYPERGRYD p o ides a scalable, impac ul model o he in eg a ion o
enewables, engagemen o local communi ies, and e icien managemen o mul i-ene gy ca ie
sys ems ac oss Eu ope.

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4 Inno a i e Technologies and Tools De eloped
HYPERGRYD combines cu ing-edge echnologies and digi al ools o c ea e a sma , adap able, and
ene gy-e icien dis ic hea ing and cooling (DHC) ne wo k capable o seamlessly in eg a ing
enewable ene gy sou ces (RES). By de eloping new ha dwa e and so wa e solu ions, he p ojec aims
o ans o m adi ional DHC sys ems in o highly esponsi e, hyb id ene gy g ids. This sec ion de ails
he co e echnologies and ools ha o m he ounda ion o he HYPERGRYD app oach.
4.1 Renewable-Based Enabling Technologies o DHC
To make DHC sys ems mo e lexible, sus ainable, and e icien , HYPERGRYD is de eloping se e al key
enabling echnologies ha allow DHC ne wo ks o inco po a e enewable ene gy mo e e ec i ely.
• Modula Re e sible Hea Pumps wi h Phase-Change Ma e ial (PCM) S o age. These
inno a i e hea pumps a e designed o wo k wi h low-exe gy RES, such as sola he mal o
was e hea , o p o ide e icien hea ing and cooling wi hin DHC ne wo ks. The inclusion o
PCM-based he mal s o age imp o es ene gy densi y and esponsi eness, allowing he sys em
o s o e and elease ene gy as needed. This modula design enables ope a o s o adjus he
sys em o mee eal- ime demand, educing ene gy was e and inc easing g id e iciency. The
echnology also educes s o age space equi emen s by up o 20%, which is pa icula ly
bene icial in u ban en i onmen s whe e space is limi ed.
• So p ion S o age Sys ems o High-E iciency Hea and Cooling. HYPERGRYD’s so p ion
s o age sys em le e ages he mochemical echnology o p o ide high-densi y he mal s o age
using low- empe a u e hea sou ces. This sys em can be powe ed by a ious RES, including
sola and geo he mal, and o e s e e sible ope a ion o bo h hea ing and cooling. The
modula so p ion uni s a e designed o in eg a e easily wi hin exis ing DHC ne wo ks,
enhancing ene gy lexibili y and dispa chabili y. This echnology enables e icien u iliza ion o
low-g ade hea sou ces, suppo ing a mo e sus ainable and ene gy-e icien DHC ope a ion.
• Small-Scale Combined Hea and Powe (CHP) Uni s wi h S eam Engine and Bu e S o age.
Designed o decen alized applica ions, he CHP uni s de eloped unde HYPERGRYD include a
compac s eam engine and bu e s o age. These uni s p o ide bo h he mal and elec ical
ene gy, o e ing a lexible solu ion o mee ing localized ene gy demands. The s eam engine
can ope a e in a e e sible mode, allowing i o cha ge bu e s o age wi h bo h elec ici y and
hea , which p o ides an e ec i e solu ion o peak sha ing and alley illing. This echnology
is pa icula ly ad an ageous o DHC sys ems ha need o manage luc ua ing loads and
main ain a consis en ene gy supply.
4.2 Ad anced ICT Tools o Digi al In eg a ion and Op imiza ion
HYPERGRYD in eg a es se e al ad anced digi al ools o c ea e a cohesi e digi al pla o m ha
suppo s eal- ime ene gy managemen , op imiza ion, and moni o ing o hyb id DHC ne wo ks. This
pla o m se es as he backbone o da a collec ion, analysis, and con ol, ensu ing ha all componen s
wo k oge he seamlessly.
• Digi al Twin o DHC Asse Managemen and Moni o ing. A he co e o he HYPERGRYD
pla o m is a digi al win ha combines Building In o ma ion Modelling (BIM) and Geog aphic
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In o ma ion Sys ems (GIS) o c ea e a comp ehensi e i ual ep esen a ion o DHC asse s.
This digi al win enables eal- ime moni o ing and isualiza ion o ene gy lows, in as uc u e
s a us, and ope a ional da a, suppo ing ope a o s in making da a-d i en decisions. The
in eg a ion o BIM and GIS allows o a high le el o in e ope abili y, p o iding a sha ed da a
en i onmen ha enhances collabo a ion and e iciency. This ool also includes ea u es o
p e en i e and p edic i e main enance, educing down ime and op imizing asse
managemen .
• Exe goeconomic and Op imiza ion Models. HYPERGRYD includes sophis ica ed
exe goeconomic models ha e alua e bo h ene gy and economic pe o mance o DHC
componen s, enabling a mul i-objec i e op imiza ion app oach. These models allow o
dynamic decision-making, conside ing no only echnical e iciency bu also cos and
en i onmen al impac s. By in eg a ing hese models wi h he digi al win, ope a o s can
simula e a ious scena ios and op imize he ope a ion o DHC ne wo ks in eal- ime, balancing
ene gy e iciency, ope a ional cos s, and en i onmen al bene i s.
• Coupled Simula ion Models o Mul i-Ene gy Ca ie Sys ems. To achie e comp ehensi e
ene gy managemen , HYPERGRYD de eloped a simula ion model ha in eg a es elec ici y,
gas, and hea ne wo ks wi hin a single pla o m. This model enables coo dina ed op imiza ion
o ene gy lows ac oss all ca ie s, allowing o e icien esou ce use and g ea e g id
esilience. By simula ing di e en demand and supply scena ios, he model helps ope a o s
p edic and manage ene gy lows dynamically, suppo ing be e in eg a ion o enewable
ene gy and minimizing g id cons ain s.
4.3 Real-Time Con ol and Sma Ene gy T ading Tools
HYPERGRYD’s pla o m includes eal- ime con ol ea u es and ene gy ading ools ha allow o
e icien load balancing, demand esponse, and local ene gy exchange, c ea ing an in e ac i e and
decen alized ene gy ecosys em.
• Demand Response and P edic i e Con ol Tools. These ools op imize ene gy dis ibu ion in
eal ime based on demand and supply luc ua ions, educing peak loads and maximizing
enewable u iliza ion. P edic i e con ol uses machine lea ning algo i hms o o ecas ene gy
needs, allowing ope a o s o p e-emp i ely adjus g id ope a ions. This demand esponse
unc ionali y no only educes s ain on he g id bu also enhances ene gy e iciency, lowe ing
o e all ope a ional cos s and emissions.
• Sma Ene gy T ading Pla o ms o Local Ene gy Communi ies (LECs). HYPERGRYD’s pla o m
enables pee - o-pee (P2P) ene gy ading wi hin local ene gy communi ies, allowing
p osume s o ade su plus ene gy wi h neighbou s o buy enewable ene gy locally. This ool
c ea es an accessible and anspa en ene gy ma ke whe e consume s and p oduce s can
in e ac di ec ly. The pla o m also inco po a es a ma ke -awa e demand esponse ea u e,
adap ing ading s a egies o eal- ime ma ke condi ions and p omo ing lexible,
decen alized ene gy sys ems. By empowe ing consume s, his ool os e s communi y
engagemen and suppo s he ansi ion o a mo e democ a ized ene gy sys em.
• Edge Compu ing and IoT o Dis ibu ed Con ol. HYPERGRYD le e ages edge compu ing o
suppo dis ibu ed con ol and da a p ocessing a he de ice le el. This se up educes la ency
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and enables local con ol o ene gy asse s, imp o ing esponsi eness and e iciency. IoT
senso s collec da a on ene gy p oduc ion, consump ion, and asse condi ions, eeding eal-
ime in o ma ion in o he pla o m. Edge-based machine lea ning models p o ide p edic i e
main enance and anomaly de ec ion capabili ies, allowing o p oac i e asse managemen
and educing he isk o sys em ailu es.
4.4 P edic i e Main enance and Anomaly De ec ion
A majo ad an age o he HYPERGRYD pla o m is i s abili y o p o ide p edic i e main enance and
anomaly de ec ion, helping ope a o s manage and main ain DHC asse s mo e e ec i ely.
• P edic i e Main enance Algo i hms. The pla o m uses da a-d i en p edic i e main enance o
iden i y po en ial ailu es be o e hey occu , minimizing down ime and main enance cos s.
Machine lea ning algo i hms analyse da a om IoT senso s o de ec pa e ns associa ed wi h
wea and ea , allowing main enance eams o ac p e-emp i ely. This app oach no only
enhances he li espan o asse s bu also educes he need o eac i e main enance, leading
o signi ican cos sa ings and ope a ional eliabili y.
• Anomaly De ec ion o Imp o ed Sys em Reliabili y. By con inuously moni o ing ene gy lows
and componen pe o mance, HYPERGRYD’s anomaly de ec ion sys em iden i ies i egula i ies
and ale s ope a o s in eal ime. This unc ionali y enables apid esponse o unexpec ed
changes in g id pe o mance, p e en ing mino issues om escala ing in o majo ailu es.
Th ough au oma ed diagnos ics, he pla o m p o ides ac ionable insigh s o ope a o s,
suppo ing as e and mo e accu a e oubleshoo ing.
4.5 Ad anced Visualiza ion and Use Engagemen In e aces
To make he complex da a and insigh s gene a ed by HYPERGRYD accessible o use s, he p ojec
includes ad anced isualiza ion ools and use - iendly in e aces.
• In ui i e Dashboa ds and Real-Time Visualiza ion. HYPERGRYD’s pla o m ea u es in e ac i e
dashboa ds ha p o ide a comp ehensi e iew o DHC ne wo k pe o mance, wi h eal- ime
isualiza ions o key me ics like ene gy demand, supply, and s o age le els. These ools help
ope a o s moni o sys em pe o mance and make in o med decisions quickly. The pla o m is
designed wi h accessibili y in mind, making i easy o use s o in e p e complex da a and
engage wi h he sys em e ec i ely.
• Use -F iendly In e aces o P osume s. HYPERGRYD includes in e aces ailo ed o local
ene gy communi ies and p osume s, allowing hem o ac i ely pa icipa e in ene gy ading
and demand esponse ac i i ies. By p o iding clea , ac ionable in o ma ion on ene gy
consump ion, p oduc ion, and ading op ions, hese in e aces encou age communi y
engagemen and empowe consume s o ake an ac i e ole in managing hei ene gy. This
app oach os e s a sense o owne ship and p omo es a cul u e o sus ainable ene gy p ac ices
wi hin local communi ies.
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4.6 In eg a ion and Scalabili y o he HYPERGRYD Pla o m
HYPERGRYD’s pla o m is designed o be lexible and scalable, suppo ing he in eg a ion o addi ional
modules, ene gy sou ces, and g id con igu a ions. By le e aging open APIs and s anda dized p o ocols,
he pla o m ensu es compa ibili y wi h exis ing sys ems and p o ides he adap abili y needed o
deploymen ac oss di e se Eu opean clima es and egula o y en i onmen s.
• Open API o Seamless In eg a ion. The pla o m’s open API acili a es in e ope abili y wi h
o he ene gy managemen sys ems, enabling he in eg a ion o hi d-pa y ools and da ase s.
This ea u e makes i easie o scale he HYPERGRYD pla o m ac oss di e en DHC ne wo ks,
suppo ing widesp ead adop ion and adap abili y.
• Scalabili y Ac oss Di e se Clima ic and Regula o y Con ex s. HYPERGRYD’s modula design
enables i o scale om small u ban ins alla ions o la ge egional DHC ne wo ks. The
pla o m’s lexibili y allows ope a o s o ailo he sys em o he speci ic needs o hei
loca ion, accommoda ing a ying ene gy demands, clima e condi ions, and egula o y
cons ain s.
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enewable sha e, and s o age u iliza ion. Ope a o s can d ill down in o de ailed me ics o
iew high-le el summa ies, enabling bo h s a egic planning and ope a ional moni o ing.
• P osume s and Communi y In e aces. Use -speci ic in e aces allow p osume s o ack hei
ene gy p oduc ion, moni o ading ac i i y, and iew en i onmen al impac me ics. These
in e aces also p o ide ene gy-sa ing ips and ecommenda ions, os e ing g ea e
engagemen and awa eness.
• 3D and GIS-Based Visualiza ions. The in eg a ion o 3D models and GIS mapping ools o e s
a spa ial iew o he DHC ne wo k, making i easie o iden i y and add ess issues in speci ic
loca ions. This ea u e is pa icula ly use ul o la ge o complex ne wo ks wi h mul iple
in e connec ed nodes.
6.6 Scalabili y and In e ope abili y
The HYPERGRYD pla o m is designed o be lexible and scalable, ensu ing ha i can adap o di e se
ope a ional con ex s and u u e echnological ad ancemen s.
• Modula and Inc emen al Deploymen . Ope a o s can implemen he pla o m in s ages,
s a ing wi h co e unc ionali ies and adding ad anced modules as needed. This app oach
minimizes dis up ion and allows o g adual in es men .
• Open API o In eg a ion. The pla o m’s open API acili a es in e ope abili y wi h hi d-pa y
sys ems, including ene gy managemen so wa e, sma home de ices, and u ili y pla o ms.
This ensu es seamless in eg a ion wi h exis ing in as uc u e and enhances compa ibili y wi h
u u e echnologies.
• Suppo o Di e se Clima e and Ne wo k Condi ions. HYPERGRYD’s modula s uc u e allows
i o ope a e e ec i ely ac oss a ying clima es, om hea ing-domina ed o cooling-
domina ed egions. I can also accommoda e ne wo ks o di e en sizes and con igu a ions,
om small-scale mic og ids o la ge u ban sys ems.
6.7 Secu i y and Da a P i acy
Gi en he c i ical na u e o ene gy in as uc u e, HYPERGRYD inco po a es obus secu i y measu es
o p o ec sensi i e da a and ensu e ope a ional eliabili y.
• Da a Enc yp ion and Access Con ols. The pla o m uses end- o-end enc yp ion o all da a
exchanges and implemen s ole-based access con ols o p e en unau ho ized access.
• Anonymized Da a o Compliance. Pe sonal da a collec ed h ough IoT de ices is anonymized
o comply wi h da a p o ec ion egula ions, such as he EU Gene al Da a P o ec ion Regula ion
(GDPR).
• Buil -In Redundancy. The pla o m’s a chi ec u e includes ail-sa e mechanisms o ensu e
unin e up ed ope a ion, e en du ing ha dwa e o ne wo k ailu es.

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6.8 Comp ehensi e Se ices o Ope a o s and Communi ies
Beyond i s co e unc ionali ies, he HYPERGRYD pla o m o e s a ange o se ices o suppo
ope a o s, policymake s, and local ene gy communi ies.
• Ene gy Fo ecas ing and Planning. Ope a o s can use o ecas ing ools o an icipa e ene gy
demand and supply ends, enabling be e planning and esou ce alloca ion.
• T aining and Suppo . The pla o m includes aining ma e ials and use guides o help
s akeholde s maximize i s po en ial. On-demand echnical suppo is a ailable o esol e
issues quickly.
• Communi y Engagemen and Awa eness Campaigns. HYPERGRYD p o ides ools o engaging
communi ies h ough educa ional campaigns, in e ac i e e en s, and anspa en
communica ion abou ene gy usage and en i onmen al impac .
The HYPERGRYD pla o m combines cu ing-edge digi al ools, modula echnologies, and use -cen ic
in e aces o enable he e icien managemen o hyb id DHC sys ems. By p o iding a scalable and
in e ope able solu ion, he pla o m empowe s ope a o s o enhance ene gy e iciency, in eg a e
enewables, and engage communi ies in sus ainable ene gy p ac ices. This digi al backbone is no jus
a echnological inno a ion bu also a key enable o he ene gy ansi ion, pa ing he way o a cleane
and mo e esilien u u e.
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7 Business and Ma ke Po en ial
The HYPERGRYD p ojec s ands a he in e sec ion o echnological inno a ion and ma ke
ans o ma ion, add essing some o he mos p essing challenges in he global ene gy sec o . By
enabling he in eg a ion o enewable ene gy sou ces (RES) in o dis ic hea ing and cooling (DHC)
ne wo ks, os e ing decen alized ene gy ma ke s, and empowe ing local ene gy communi ies (LECs),
HYPERGRYD o e s a compelling alue p oposi ion o u ili ies, municipali ies, businesses, and
consume s. This sec ion p o ides a comp ehensi e explo a ion o he p ojec ’s ma ke po en ial,
inno a i e business models, and i s ole in eshaping he ene gy landscape.
7.1 The G owing Ma ke o Renewable-D i en DHC Solu ions
As he global ene gy ansi ion accele a es, he ma ke o enewable-based and hyb id DHC sys ems
is expe iencing signi ican g ow h. This demand is d i en by s ingen clima e policies, he phasing ou
o ossil uels, and he inc easing adop ion o RES. Howe e , many exis ing DHC ne wo ks a e ou da ed,
ine icien , and elian on high- empe a u e, cen alized sys ems ha a e incompa ible wi h mode n
ene gy goals.
HYPERGRYD p o ides a solu ion o hese challenges by o e ing scalable, cos -e ec i e echnologies
designed o enhance he lexibili y, esilience, and e iciency o DHC sys ems, making hem u u e-
eady.
7.1.1 Ma ke G ow h D i e s
The demand o inno a i e DHC sys ems is unde pinned by se e al key ac o s:
• Policy and Regula ion. Go e nmen s ac oss Eu ope a e implemen ing policies aimed a
educing g eenhouse gas (GHG) emissions and inc easing he sha e o RES in ene gy sys ems.
The EU’s G een Deal and “Fi o 55” package a e p ime examples o his egula o y push.
• Aging In as uc u e. Much o Eu ope’s exis ing DHC in as uc u e was buil decades ago and
equi es mode nisa ion o mee cu en ene gy e iciency and deca boniza ion s anda ds.
• U baniza ion. As ci ies expand, he e is a g owing need o sus ainable ene gy sys ems capable
o se ing dense u ban popula ions while minimizing en i onmen al impac .
• Consume Demand. End-use s a e inc easingly seeking sus ainable, cos -e ec i e ene gy
solu ions, d i ing demand o echnologies ha p o ide enewable ene gy in eg a ion and
decen alized managemen .
7.1.2 Ta ge Ma ke Segmen s
HYPERGRYD’s solu ions ca e o a b oad ange o s akeholde s, including:
• U ili ies and DHC Ope a o s. Seeking o mode nize hei ne wo ks, educe ope a ional cos s,
and comply wi h s ic e en i onmen al egula ions.
• Municipali ies and Public Au ho i ies. Looking o in es in sus ainable u ban in as uc u e as
pa o hei sma ci y ini ia i es.
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• Residen ial and Comme cial Use s. In e es ed in a o dable, e icien , and en i onmen ally
iendly hea ing and cooling solu ions o homes, o ices, and indus ial acili ies.
• Local Ene gy Communi ies (LECs). Empowe ing p osume s o gene a e, s o e, and ade
enewable ene gy locally.
7.1.3 Ma ke Size and Oppo uni y
The Eu opean DHC ma ke is p ojec ed o g ow signi ican ly in he coming decades, d i en by
in es men s in 4 h and 5 h gene a ion sys ems. The In e na ional Ene gy Agency (IEA) es ima es ha
50% o Eu ope’s building hea demand could be me by DHC sys ems by 2050. HYPERGRYD’s solu ions
a e uniquely posi ioned o cap u e his oppo uni y, o e ing a pa hway o ope a o s o mode nise
hei ne wo ks and align wi h u u e ene gy ends.
7.2 Inno a i e Business Models o Ene gy T ansi ion
HYPERGRYD in oduces a ange o inno a i e business models ha c ea e alue o ope a o s,
consume s, and p osume s. These models align wi h he b oade shi owa d decen aliza ion,
digi aliza ion, and sus ainabili y in he ene gy sec o .
7.2.1 Ene gy-as-a-Se ice (EaaS)
The EaaS model ans o ms he adi ional ene gy supply business by ocusing on se ice-o ien ed
o e ings a he han selling ene gy as a commodi y. HYPERGRYD enables ope a o s o deli e se ices
such as:
• Dynamic Ene gy Supply. P o iding ailo ed ene gy solu ions based on eal- ime demand and
a ailabili y o RES.
• P edic i e Main enance. Using HYPERGRYD’s digi al win and IoT senso s o an icipa e and
esol e issues be o e hey escala e, educing down ime and ope a ional cos s.
• Op imiza ion Se ices. O e ing ene gy op imiza ion and e iciency imp o emen as alue-
added se ices o consume s.
This model di e si ies e enue s eams and s eng hens cus ome ela ionships, ensu ing long- e m
sus ainabili y o ene gy p o ide s.
7.2.2 Pee - o-Pee (P2P) Ene gy T ading
HYPERGRYD’s pla o m acili a es decen alized ene gy ading wi hin LECs, allowing p osume s o sell
excess ene gy di ec ly o o he consume s. This app oach:
• Encou ages local enewable ene gy p oduc ion and consump ion.
• Reduces eliance on cen alized g id in as uc u e.
• P omo es anspa ency and ai p icing in ene gy ma ke s.
• Empowe s communi ies o become sel -su icien ene gy hubs.
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7.2.3 Demand Response Mone iza ion
HYPERGRYD’s demand esponse ools enable DHC ope a o s o pa icipa e in ancilla y ma ke s,
o e ing se ices such as load balancing and equency egula ion. By p o iding hese se ices,
ope a o s can gene a e addi ional e enue while con ibu ing o g id s abili y and esilience.
7.3 Scalabili y and Replicabili y o HYPERGRYD Solu ions
A key s eng h o HYPERGRYD lies in i s scalabili y and adap abili y. I s modula echnologies and
in e ope able digi al pla o m a e designed o accommoda e di e se ene gy con ex s and egula o y
amewo ks, ensu ing widesp ead applicabili y.
7.3.1 Technical Scalabili y
HYPERGRYD’s solu ions can be deployed inc emen ally, allowing ope a o s o s a small and expand
as needed. Fo example:
• Hea Pumps and So p ion S o age. Can be ins alled in speci ic ne wo k segmen s and scaled
up g adually.
• CHP Uni s. P o ide localized ene gy solu ions ha can be expanded o co e la ge a eas.
7.3.2 Geog aphic Applicabili y
The solu ions a e es ed ac oss di e se clima es and ene gy demands in Eu ope h ough li e-in-lab
demons a ions:
• Cold clima es, ocusing on high hea ing demand.
• Cooling-domina ed egions, add essing he challenges o peak cooling loads.
• Tempe a e zones wi h mixed ene gy needs, op imizing hea ing and cooling simul aneously.
7.3.3 Ta ge ed Ma ke Segmen s
• Residen ial: Re o i solu ions o exis ing housing and e icien designs o new de elopmen s.
• Comme cial and Indus ial. lexible ene gy sys ems ailo ed o speci ic ope a ional
equi emen s.
• Municipal In as uc u e. Sma ene gy solu ions o public acili ies, such as schools and
hospi als.
7.4 S akeholde Bene i s and Value C ea ion
HYPERGRYD deli e s angible bene i s o all s akeholde s, ensu ing s ong ma ke adop ion and
engagemen .
7.4.1 Fo DHC Ope a o s
• Imp o ed ope a ional e iciency h ough eal- ime moni o ing and op imiza ion.
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• Reduced cos s ia p edic i e main enance and enhanced ene gy u iliza ion.
• New e enue s eams h ough ancilla y se ices and ene gy ading.
7.4.2 Fo Local Ene gy Communi ies (LECs)
• Empowe men o p osume s o ac i ely pa icipa e in he ene gy ma ke .
• Cos sa ings and e enue oppo uni ies h ough local ene gy p oduc ion and ading.
• Inc eased communi y esilience and ene gy independence.
7.4.3 Fo Policymake s and Regula o s
• Tools o achie e na ional and egional ene gy and emissions a ge s.
• Suppo o c ea ing sus ainable, inclusi e ene gy ecosys ems.
• Da a-d i en insigh s o be e policy planning and implemen a ion.
7.5 Economic Viabili y and Long-Te m Po en ial
HYPERGRYD emphasizes economic iabili y o ensu e i s solu ions a e a ac i e o s akeholde s.
7.5.1 Cos -E ec i eness
• Lowe Capi al Expendi u e. Modula deploymen educes up on cos s.
• Ope a ional Sa ings. P edic i e main enance and ene gy op imiza ion lowe ope a ing
expenses.
• Re enue Gene a ion. Ancilla y se ices, ene gy ading, and e iciency gains p o ide addi ional
income s eams.
7.5.2 Re u n on In es men (ROI)
HYPERGRYD deli e s a clea ROI o s akeholde s, wi h ope a ional sa ings and new e enue s eams
o se ing ini ial in es men s. I s lexible business models u he enhance inancial iabili y.
7.6 Alignmen wi h Policy and Ma ke T ends
HYPERGRYD’s solu ions a e s a egically aligned wi h majo EU policies and ma ke ends, including:
• Eu opean G een Deal. Di ec con ibu ion o educing GHG emissions and inc easing
enewable ene gy sha e.
• Reno a ion Wa e Ini ia i e. Suppo ing deep eno a ion o exis ing in as uc u e o imp o e
ene gy e iciency.
• Digi al T ansi ion. Le e aging digi al wins, IoT, and ad anced analy ics o mode nize ene gy
sys ems.

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7.7 Long-Te m Vision and Global Impac
HYPERGRYD is no only a solu ion o Eu ope bu also a empla e o global ene gy sys ems. I s scalable,
modula app oach can be adap ed o mee he needs o o he egions, including eme ging ma ke s.
The p ojec ’s ocus on sus ainabili y, lexibili y, and communi y empowe men posi ions i as a leade
in he global ansi ion o decen alised, enewable ene gy sys ems.
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8 S akeholde Engagemen and Dissemina ion
S akeholde engagemen and e ec i e dissemina ion o esul s a e cen al o he success o he
HYPERGRYD p ojec . By os e ing collabo a ion ac oss he ene gy alue chain and aising awa eness
among key ac o s, HYPERGRYD ensu es ha i s inno a i e solu ions each he wides possible audience
and gain ac ion o implemen a ion and eplica ion. This sec ion ou lines he s a egies and ac i i ies
designed o engage s akeholde s, dissemina e p ojec ou comes, and maximise he p ojec ’s impac .
8.1 S akeholde Engagemen S a egy
HYPERGRYD’s s akeholde engagemen s a egy ocuses on in ol ing a di e se ange o ac o s om
he ene gy sec o , public au ho i ies, and local communi ies. This collabo a i e app oach ensu es ha
he p ojec ’s solu ions add ess eal-wo ld challenges and align wi h s akeholde needs.
• Key S akeholde G oups:
o DHC Ope a o s and U ili y Companies. Collabo a ing o alida e and implemen
HYPERGRYD solu ions in exis ing and new ne wo ks.
o Policymake s and Regula o s. P o iding insigh s in o policy compliance and
iden i ying oppo uni ies o egula o y suppo .
o Local Ene gy Communi ies (LECs). Engaging p osume s and end-use s o es P2P
ading and demand esponse ools.
o Technology P o ide s and SMEs. Pa ne ing o co-de elop and in eg a e inno a i e
echnologies.
o Resea che s and Academia. Le e aging esea ch ins i u ions o knowledge exchange
and ad ancing hyb id g id echnologies.
• Engagemen Mechanisms:
o Wo kshops and s akeholde o ums o ga he inpu and sha e p og ess.
o In e ac i e demons a ions a li e-in lab (LiL) si es, allowing s akeholde s o
expe ience he echnologies i s hand.
o Pa ne ships wi h indus y associa ions and ene gy ne wo ks o dissemina e
knowledge and a ac new collabo a o s.
8.2 Public Awa eness and Ou each
HYPERGRYD ecognizes he impo ance o educa ing and in ol ing he b oade public in he ene gy
ansi ion. Public awa eness campaigns a e designed o highligh he bene i s o enewable
in eg a ion, sma g ids, and local ene gy communi ies.
• Public Engagemen Ac i i ies:
o Open days and si e ou s a LiL demons a o s o showcase p ojec achie emen s.
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o In e ac i e webina s and online e en s o explain he p ojec ’s goals and solu ions o
non- echnical audiences.
o Collabo a ion wi h schools and uni e si ies o p omo e ene gy li e acy and
sus ainabili y.
• Communica ion Tools:
o Engaging isuals, in og aphics, and explaine ideos ailo ed o di e en audiences.
o A use - iendly websi e and social media p esence o sha ing upda es, esul s, and
success s o ies.
o Localized campaigns o add ess communi y-speci ic challenges and oppo uni ies.
8.3 Dissemina ion Ac i i ies and Channels
Dissemina ion is c i ical o ensu ing ha HYPERGRYD’s ou comes a e widely unde s ood and adop ed.
The p ojec employs a mul i-channel dissemina ion s a egy o each di e se audiences, including
echnical expe s, policymake s, and he gene al public.
• Academic and Technical Dissemina ion:
o Publica ion o esea ch indings in high-impac jou nals and con e ence p oceedings.
o P esen a ion o p ojec esul s a in e na ional con e ences and indus y e en s, such
as Eu opean U ili y Week and Sma Ene gy Sys ems.
o De elopmen o whi e pape s and echnical epo s de ailing he p ojec ’s
me hodologies and inno a ions.
• Policy-O ien ed Dissemina ion:
o Policy b ie s and ecommenda ions a ge ing local, na ional, and EU policymake s o
suppo egula o y alignmen and adop ion.
o Pa icipa ion in policy wo kshops and consul a ions o in luence ene gy policy
amewo ks.
o Collabo a ion wi h he Eu opean Commission such a G een Deal Suppo O ice and
o he EU bodies o align wi h b oade deca boniza ion ini ia i es.
• Indus y-Focused Dissemina ion:
o Case s udies and bes p ac ices sha ed wi h DHC ope a o s, ene gy se ice companies,
and echnology p o ide s.
o T aining sessions and webina s ailo ed o indus y p o essionals, ocusing on he
p ac ical implemen a ion o HYPERGRYD solu ions.
o Pa ne ship oppo uni ies wi h SMEs and s a ups o os e echnology ans e and
comme cialisa ion.
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8.4 Knowledge Sha ing and Capaci y Building
HYPERGRYD emphasizes knowledge sha ing and capaci y building o enable he widesp ead adop ion
o i s echnologies and me hodologies. By p o iding open-access ools, aining esou ces, and
echnical documen a ion, he p ojec empowe s s akeholde s o implemen and scale i s solu ions.
• Open-Access Resou ces:
o An online knowledge hub ea u ing echnical documen a ion, simula ion models, and
da ase s om he LiL demons a o s.
o T aining ma e ials, including use manuals, ins uc ional ideos, and e-lea ning
modules, ailo ed o di e en s akeholde s.
• Wo kshops and T aining Sessions:
o Ta ge ed aining o DHC ope a o s on in eg a ing and managing hyb id ene gy g ids.
o Capaci y-building wo kshops o policymake s on le e aging HYPERGRYD’s ools o
achie e deca boniza ion goals.
o Communi y- ocused sessions o educa e LEC membe s on ene gy ading, demand
esponse, and sys em op imiza ion.
• Collabo a i e Ne wo ks and Pa ne ships:
o Pa icipa ion in EU-le el ene gy and clima e ne wo ks o sha e indings and os e
collabo a ions.
o Es ablishing connec ions wi h o he Ho izon 2020 and Ho izon Eu ope p ojec s o
exchange bes p ac ices and a oid duplica ion o e o s.
8.5 Le e aging Demons a ion Si es o Dissemina ion
HYPERGRYD’s li e-in lab (LiL) si es se e as powe ul ools o s akeholde engagemen and
dissemina ion. These si es demons a e he eal-wo ld applica ion and bene i s o HYPERGRYD’s
solu ions, p o iding angible e idence o hei e ec i eness.
• Demons a ion Ac i i ies:
o Guided ou s and li e demons a ions showcasing hyb id DHC echnologies in ac ion.
o Collec ion o pe o mance da a and insigh s o c ea e compelling case s udies and
epo s.
o S akeholde wo kshops a LiL si es o os e collabo a ion and ga he eedback.
• Knowledge T ans e :
o Documen a ion o lessons lea ned om LiL implemen a ions o in o m u u e p ojec s.
o Sha ing o eplicable amewo ks and me hodologies o scaling HYPERGRYD solu ions
ac oss Eu ope.
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o Demons a ed clea e u n on in es men (ROI) h ough ope a ional sa ings,
e iciency imp o emen s, and new e enue s eams om demand esponse and local
ene gy ading.
• New Business Models:
o Enabled inno a i e models like Ene gy-as-a-Se ice (EaaS) and pee - o-pee (P2P)
ene gy ading wi hin local ene gy communi ies (LECs), os e ing decen alized
ene gy ma ke s.
• Ma ke Applicabili y:
o Valida ed solu ions ac oss di e se clima e zones and ope a ional con ex s, ensu ing
ha echnologies can be applied o a ious DHC sys ems in Eu ope and beyond.
10.1.3 En i onmen al and Social Impac
• Signi ican Reduc ion in CO₂ Emissions:
o Inc eased he pene a ion o enewable ene gy sou ces (RES) wi hin DHC ne wo ks,
di ec ly con ibu ing o g eenhouse gas (GHG) emissions educ ion and clima e
neu ali y goals.
• Empowe ed Communi ies:
o P o ided ools o local ene gy communi ies o ac i ely pa icipa e in ene gy
managemen , educe ene gy cos s, and enhance ene gy independence.
• Suppo o Ci cula Economy:
o P omo ed modula design p inciples, euse, and ecycling o ene gy in as uc u e
componen s, aligning wi h EU ci cula economy goals.
10.2 Challenges Ahead
Despi e he signi ican achie emen s o HYPERGRYD, se e al challenges mus be add essed o enable
widesp ead adop ion and scaling o hyb id ene gy g ids.
10.2.1 Regula o y and Policy Ba ie s
• Inconsis en Regula ions Ac oss Eu ope:
o Va ia ions in ene gy policies, ma ke ules, and egula o y amewo ks ac oss EU
membe s a es c ea e ba ie s o uni o m implemen a ion o hyb id ene gy
solu ions. Ha monizing hese amewo ks is c i ical.
• Lack o Incen i es o Hyb id Sys ems:
Financial incen i es and subsidies a e o en ailo ed o adi ional enewable ene gy sys ems and may
no adequa ely suppo hyb id g id solu ions o modula echnologies.

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10.2.2 Ma ke and Financial Ba ie s
• High Ini ial In es men s:
o While he long- e m cos sa ings o HYPERGRYD solu ions a e clea , he up on
capi al equi ed o e o i ing exis ing sys ems o deploying new echnologies may
de e some s akeholde s.
• Ma ke Readiness:
o T ansi ioning om cen alized ene gy models o decen alized sys ems equi es
ma ke mechanisms ha incen i ize local ene gy ading and RES in eg a ion.
10.2.3 Technological Challenges
• In eg a ion wi h Legacy Sys ems:
o Exis ing DHC ne wo ks may equi e signi ican upg ades o accommoda e hyb id
echnologies and digi al ools.
• Scalabili y and Adap abili y:
o While HYPERGRYD solu ions ha e been alida ed in di e se se ings, scaling hese
echnologies o di e en egions wi h unique ene gy demands and in as uc u e
challenges will equi e u he adap a ion.
10.3 Fu u e Di ec ions
HYPERGRYD’s success p o ides a s ong ounda ion o u u e ad ancemen s. The ollowing di ec ions
ou line key pa hways o expanding, e ining, and scaling i s solu ions.
10.3.1 Ad ancing Hyb id Ene gy Technologies
• De elopmen o High-E iciency Technologies:
o Enhance he e iciency and cos -e ec i eness o e e sible hea pumps, so p ion
s o age sys ems, and CHP uni s.
o Explo e he in eg a ion o eme ging ene gy ca ie s, such as hyd ogen, and ad anced
s o age solu ions, like he mal ba e ies and phase-change ma e ials.
• In eg a ion o Ca bon Cap u e:
o Combine hyb id ene gy g ids wi h ca bon cap u e and u iliza ion (CCU) echnologies
o u he educe emissions in ha d- o-deca bonize sec o s.
10.3.2 Expanding Digi al Inno a ion
• AI and Machine Lea ning o Op imiza ion:
o In eg a e ad anced AI models in o digi al wins o enable eal- ime, sel -op imizing
DHC ne wo ks ha con inuously lea n and adap o new condi ions.
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• Blockchain o Ene gy Ma ke s:
o Use blockchain echnology o ensu e secu e, anspa en ansac ions in P2P ene gy
ading and demand esponse ma ke s.
• Edge Compu ing and IoT Enhancemen s:
o Expand he use o edge compu ing o p ocess la ge da ase s locally, enhancing
sys em esponsi eness and educing eliance on cen al se e s.
10.3.3 Policy and Ma ke De elopmen
• Ha monized Regula ions. Wo k wi h policymake s o c ea e uni ied s anda ds and
egula ions ha acili a e he deploymen o hyb id ene gy g ids ac oss Eu ope.
• Financial Mechanisms. Es ablish new unding models, such as g een bonds and public-p i a e
pa ne ships, o suppo he ini ial deploymen o HYPERGRYD solu ions.
10.3.4 Scaling and Global Deploymen
• Adap ing o Global Ma ke s:
o Modi y HYPERGRYD echnologies o add ess he ene gy challenges o de eloping
coun ies, such as un eliable g ids and limi ed RES in as uc u e.
• U ban and Ru al Applica ions:
o Expand applica ions o hyb id g ids o suppo sus ainable u baniza ion and u al
elec i ica ion p ojec s.
10.3.5 Knowledge Sha ing and Collabo a ion
• Capaci y Building:
o T ain ope a o s, policymake s, and communi y leade s o e ec i ely use and manage
hyb id ene gy sys ems.
• C oss-Sec o Collabo a ion:
o Pa ne wi h indus ies such as anspo a ion and manu ac u ing o explo e
syne gies be ween hyb id g ids and o he sec o s.
10.4 Vision o he Fu u e
HYPERGRYD en isions a u u e whe e hyb id ene gy g ids a e a he hea o sus ainable, esilien
ene gy sys ems, empowe ing communi ies and suppo ing economic g ow h while sa egua ding he
plane . Key elemen s o his ision include.
• Decen alized Ene gy Sys ems:
o Hyb id g ids enable localized ene gy p oduc ion and managemen , educing
dependency on cen alized in as uc u e and enhancing esilience.
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• Global Leade ship in Renewable In eg a ion:
o Eu ope becomes a global leade in hyb id g id solu ions, expo ing expe ise and
echnologies o accele a e he global ene gy ansi ion.
• Inclusi e and Equi able Ene gy T ansi ion:
o HYPERGRYD ensu es ha he bene i s o clean ene gy a e accessible o all,
add essing ene gy po e y and os e ing social equi y.
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11 Conclusion
HYPERGRYD has laid a s ong ounda ion o he u u e o ene gy sys ems, demons a ing ha hyb id,
enewable-d i en DHC ne wo ks can deli e angible en i onmen al, economic, and social bene i s.
The p ojec ’s inno a ions, alida ed in eal-wo ld scena ios, p o ide a eplicable model o
mode nizing ene gy sys ems globally. As hyb id ene gy g ids become he new s anda d, HYPERGRYD’s
con ibu ions will inspi e con inued ad ancemen s, ca alysing a global shi owa ds sus ainable,
decen alized, and esilien ene gy sys ems.
By combining echnical excellence, s akeholde engagemen , and isiona y planning, HYPERGRYD
ensu es ha he ansi ion o a clean ene gy u u e is no only achie able bu ine i able.
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12 Glossa y
Ancilla y Se ices: Suppo se ices p o ided by ene gy sys ems o main ain g id s abili y and
eliabili y. These include equency egula ion, ol age con ol, load balancing, and o he unc ions
c i ical o g id ope a ion.
Applica ion p og amming in e ace (API): Code ha allows wo so wa e p og ams o communica e
wi h each o he .
A cGIS: Is a amily o clien so wa e, se e so wa e, and online geog aphic in o ma ion sys em (GIS)
se ices.
A i icial Neu al Ne wo k: B ain-inspi ed compu ing sys em able o de ec pa e ns and ela ionships
in da a and o lea n om i .
Aus ian Ins i u e o Technology GmbH (AIT): Resea ch ins i u e.
BIM Execu ion Plan (BEP): The in en o he BIM Execu ion Plan (BEP) is o de ine a ounda ional
amewo k o ensu e success ul deploymen o ad anced design echnologies on you BIM enabled
p ojec . The BEP is abou op imizing wo k and model low ac oss he p ojec , as con as ed wi h
op imizing siloed in e es s.
BMS: Cen al compu e ised sys em o unning he building se ices in he mos e icien way, (e.g.,
adjus ing he hea ing le els, u ning ligh s on o o )
Boo S ap echnology: Is a ee and open-sou ce CSS amewo k di ec ed a esponsi e, mobile- i s
on -end web de elopmen . I con ains HTML, CSS and (op ionally) Ja aSc ip -based design empla es
o ypog aphy, o ms, bu ons, na iga ion, and o he in e ace componen s.
Bo ehole he mal s o ages: Bo ehole he mal ene gy s o age in ol es using he g ound as he s o age
medium, allowing hea o be added o he g ound du ing he summe mon hs, and ex ac ed o mee
he hea ing demands in he win e hea ing season.
Building Au oma ion Sys em (BAS): Is a ne wo k designed o connec and au oma e ce ain unc ions
inside a building. All o he building con ol sys ems, om ligh ing and HVAC (Hea ing, Ven ila ion &
Ai Condi ioning) o i e and secu i y sys ems—all wi ed h ough one se o con ols.
Building Hea ing, Ven ila ing and Ai Condi ioning (HVAC) loads: Ha ing, en ila ing and ai
condi ioning (HVAC) sys ems a e he la ges ene gy end use in he nondomes ic sec o , wi h ene gy
consump ion. Di e en HVAC sys ems ha e di e en ene gy equi emen s when esponding o he
same building hea ing and cooling demands. Building hea ing and cooling demands depend on a ious
pa ame e s such as building ab ics, glazing a io, building o m, occupancy pa e n, and many o he s.
HVAC sys em ene gy equi emen s and building ene gy demands can be de e mined by ma hema ical
modelling.
Building In o ma ion Modelling (BIM): Digi al o m o cons uc ion and asse ope a ions ha b ings
oge he echnology, p ocess imp o emen s and digi al in o ma ion o adically imp o e clien and
p ojec ou comes and asse ope a ions.
Capi al expendi u es (CAPEX): The pu chase o ixed asse s, e.g. plan and machine y, o he pu pose
o inc easing u u e p oduc ion; he sum o money spen on ixed asse s.

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Ci cula Economy: An economic model ocused on elimina ing was e and maximizing esou ce euse
by keeping ma e ials and ene gy in con inuous ci cula ion.
Ci izen Ene gy Communi y (CEC): The Clean Ene gy Package (CEP) de ines a CEC as a legal en i y ha :
(a) is based on olun a y and open pa icipa ion and is e ec i ely con olled by membe s o
sha eholde s ha a e na u al pe sons, local au ho i ies, including municipali ies, o small en e p ises;
(b) has o i s p ima y pu pose o p o ide en i onmen al, economic o social communi y bene i s o i s
membe s o sha eholde s o o he local a eas whe e i ope a es a he han o gene a e inancial
p o i s; and (c) may engage in gene a ion, including om enewable sou ces, dis ibu ion, supply,
consump ion, agg ega ion, ene gy s o age, ene gy e iciency se ices o cha ging se ices o elec ic
ehicles o p o ide o he ene gy se ices o i s membe s o sha eholde s.
Ci yGML: Ci y Geog aphy Ma k‐up Language. A common in o ma ion model o he ep esen a ion o
3D u ban objec s. The o ma de ines classes and ela ions o he mos ele an opog aphic objec s
in ci ies and egional models wi h espec o hei geome ical, opological, seman ic and appea ance
p ope ies.
Clean Ene gy Package (CEP): The Clean Ene gy Package o Clean ene gy o all Eu opeans package
(CEP) is an EU ulebook adop ed in 2019. I expec s o b ing conside able bene i s o consume s, he
en i onmen , and o he economy h ough new di ec i es which mus be con e ed in o EU coun ies’
na ional law wi hin 1-2 yea s.
Consiglio Nazionale delle Rice che (CNR): Resea ch ins i u e.
Coe icien o Pe o mance (COP): Ra io o he a ailable use ul hea p oduced by a sys em compa ed
o he ene gy ha mus be ed in o he sys em.
Combined Hea and Powe (CHP): The consecu i e gene a ion o use ul he mal and elec ic ene gy
om he same uel sou ce.
Communi y T ading: Communi y T ading e e s o ene gy exchanges ha ake place be ween mul iple
membe s o a communi y.
Compa men aliza ion: As a secu i y enginee ing concep , means ha he pe son o applica ion
eques ing da a will only be able o access he one needed o comple e hei ask. As a esul , exposu e
po en ial will be limi ed, o e en in he case o a da a b each, he damage could be minimized.
Con ingency plan: Ac ions designed o use only i ce ain e en s occu .
CSS3 s yling: Is a s yle shee language used o desc ibing he p esen a ion o a documen w i en in a
ma kup language such as HTML o XML (including XML dialec s such as SVG, Ma hML o XHTML).
Da a con olle : The na u al o legal pe son, public au ho i y, agency o o he body which, alone, o
join ly wi h o he s, de e mines he pu poses and means o p ocessing pe sonal da a.
Da a dis o ion: Will ensu e ha an un us ed pa y eleases company da a (o pa e n
ex ac ed om da a); his pa y won’ lea n any o he company’s sensi i e in o ma ion o eiden i y
company use s. I is achie ed h ough con olled da a dis o ion/modi ica ion
p ese ing speci ic cha ac e is ics (de ined as u ili ies) o he da a, e.g., s a ical p ope ies.
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Da a p ocesso : The na u al o legal pe son, public au ho i y, agency, o o he body which p ocesses
pe sonal da a on behal o he con olle . Technology ha s ocks he mal ene gy by hea ing o cooling
a s o age medium so ha he s o ed ene gy can be used a a la e ime o hea ing and cooling
applica ions and powe gene a ion.
Da a e minal equipmen (DTE): Pa o a da a s a ion ha se es as a da a sou ce, a da a sink, o
bo h.
Deca boniza ion: The p ocess o educing ca bon dioxide (CO₂) emissions, pa icula ly by ansi ioning
o enewable ene gy sou ces, enhancing ene gy e iciency, and minimizing eliance on ossil uels.
Decen alized Gene a ions (DG): Sys em in ol ing small amoun s o gene a ion loca ed on a u ili y’s
dis ibu ion sys em o he pu pose o mee ing local (subs a ion le el) peak loads and/o displacing he
need o build addi ional (o upg ade) local dis ibu ion lines.
Demand Response Managemen (DRM): Schemes o manage ene gy o esiden ial buildings in a
sma g id.
Di e en ial scanning calo ime y (DSC): Technique ha eco ds he di e ence in ene gy inpu s in o a
subs ance and a e e ence ma e ial, as a unc ion o empe a u e, while he subs ance and e e ence
ma e ial a e subjec ed o he same con olled empe a u e p og amme.
Digi al Twins: Vi ual ep esen a ion using da a, da a analy ics and machine lea ning o help
s imula ion models ha can be upda ed and changed ( eal- ime) as hei physical equi alen s change.
Disas e eco e y (DR): Ac i i ies (planning, es ing e c.) o p o ec an o ganiza ion om he e ec s o
signi ican nega i e e en s (e.g. cybe a ack, na u al disas e ), which helps es o ing ope a ions and
accesses, and ge ing back da a quickly.
Dis ibu ed Ene gy Resou ces (DERs): Va ie y o small, modula powe -gene a ing echnologies ha
can be combined wi h ene gy managemen and s o age sys ems and used o imp o e he ope a ion
o he elec ici y deli e y sys em, whe he o no hose echnologies a e connec ed o an elec ici y
g id.
Dis ibu ed Ene gy Si e (DES): Is a e m which encompasses a di e se a ay o gene a ion, s o age and
ene gy moni o ing and con ol solu ions. DES can be ailo ed o e y speci ic equi emen s and use s’
applica ions including cos educ ions, ene gy e iciency, secu i y o supply and ca bon educ ion.
Dis ibu ed Mul i-Gene a ion (DMG): Is elec ical gene a ion and s o age pe o med by a a ie y o
small, g id-connec ed o dis ibu ion sys em-connec ed de ices e e ed o as dis ibu ed ene gy
esou ces (DER).
Dis ibu ion sys em ope a o s (DSOs): Na u al o legal pe son who is esponsible o ope a ing,
ensu ing he main enance o and, i necessa y, de eloping he dis ibu ion sys em in a gi en a ea and,
whe e applicable, i s in e connec ions wi h o he sys ems, and o ensu ing he long- e m abili y o
he sys em o mee easonable demands o he dis ibu ion o elec ici y.
Dis ic Hea ing and Cooling (DHC): The mal ene gy deli e ed o a building om an ou side sou ce is
known as dis ic hea ing and cooling, which can ange in size om small sys ems se ing wo o h ee
buildings o ne wo ks se ing en i e ci ies. Dis ic hea ing and cooling is widely used in de eloped
coun ies h oughou he wo ld and o e s nume ous ad an ages o e indi idual building appa a us,
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including g ea e sa e y and eliabili y, educed emissions, and g ea e uel lexibili y, pa icula ly in
using al e na i e uels such as biomass o was e.
Dis ic Hea ing Ne wo k DHN (2nd gene a ion): The second gene a ion o dis ic appea ed in he
1930s, he main cha ac e is ics o his gene a ion a e he ollowing: We e coal, was e and oil uelled;
Used p essu ized ho wa e as hea ca ie wi h empe a u es abo e 100°C; We e buil a ound a
cen alized p oduc ion uni ; In oduced Combined Hea and Powe (CHP) o sa e p ima y ene gy use.
Dis ic Hea ing Ne wo k DHN (3 d gene a ion): The hi d gene a ion in dis ic hea ing was de eloped
in he 1970s a e he wo-oil c isis he led o oil sho age. This gene a ion apidly sp ead all a ound
he wo ld, he main cha ac e is ics o his gene a ion a e: P e ab ica ed and p e-insula ed pipes;
Ope a ion empe a u es below 100°C; Used coal, biomass and was e as ene gy sou ces, and some
sys ems used geo he mal ene gy and sola ene gy.
Dis ic Hea ing Ne wo k DHN (4 h gene a ion): The ou h gene a ion in dis ic hea ing is cu en ly
de eloped, hey a e a way o add ess clima e change as: They in eg a e high sha es o a iable
enewable ene gy; They supply low empe a u e dis ic hea ing o space hea ing and domes ic ho
wa e (below 70°C); They dis ibu e hea wi h low g id losses; They ecycle hea om low empe a u e
enewable ene gy sou ces.
Dis ic Hea ing Ne wo k DHN (5 h gene a ion): The i h gene a ion o dis ic hea ing dis ibu es hea
a nea ambien g ound empe a u es, minimizing g id losses and hus, insula ion needs. The main
design cha ac e is ics a e: Bi-di ec ional exchange o he mal ene gy: supply o hea means ecei ing
cold and ice e sa; The mal s o age a la ge and small scale, app op ia ely places, a e in eg a ed wi h
he he mal sys em o balance he demand o hea and cold; Demand d i en algo i hm-based con ol
ha op imizes he exe gy lows using eal- ime da a and moni o ing.
Dis ic Hea ing and Cooling Ne wo k (DHCN): Hea ing ne wo ks p oduce and anspo hea in he
o m o ho wa e o s eam o hea ing o domes ic wa e use (ho wa e ). Cooling ne wo ks p oduce
and dis ibu e cooling ene gy h ough a chilled wa e ne wo k o cool buildings.
Da a Managemen Plan (DMP): Desc ibes he ypes o da a ha will be gene a ed o ga he ed du ing
he p ojec .
Domes ic ho wa e (DHW): Ho wa e used in sinks, showe s and ba hs o domes ic pu poses
including d inking, cooking, sani a ion and pe sonal hygiene, bu no including he ho wa e in hea ing
sys ems.
Dynamic Hos Con igu a ion P o ocol (DHCP): Is a ne wo k managemen p o ocol used on In e ne
P o ocol (IP) ne wo ks o au oma ically assigning IP add esses and o he communica ion pa ame e s
o de ices connec ed o he ne wo k using a clien –se e a chi ec u e. The echnology elimina es he
need o indi idually con igu ing ne wo k de ices manually, and consis s o wo ne wo k componen s,
a cen ally ins alled ne wo k DHCP se e and clien ins ances o he p o ocol s ack on each compu e
o de ice. When connec ed o he ne wo k, and pe iodically he ea e , a clien eques s a se o
pa ame e s om he se e using DHCP.
Edge Compu ing: A dis ibu ed compu ing model whe e da a p ocessing occu s close o he sou ce o
da a gene a ion, enabling as e and mo e e icien eal- ime ope a ions.
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Elec ic ehicles (EV): Vehicle wi h a powe ain con aining a leas one elec ic mo o o elec ic
mo o -gene a o .
Elec ical G id: In eg a ed sys em o elec ici y dis ibu ion, usually co e ing a la ge a ea.
Ene gy-as-a-Se ice (EaaS): A business model in which ene gy- ela ed se ices, such as supply,
main enance, and op imiza ion, a e o e ed on a subsc ip ion o pay-pe -use basis.
Ene gy Communi ies: G oups o collec i es o indi iduals o o ganiza ions ha collabo a i ely manage
he p oduc ion, s o age, and consump ion o ene gy, ypically ocusing on enewable ene gy sou ces.
Ene gy e iciency (EE): The a io o ou pu o pe o mance, se ice, goods o ene gy, o inpu o ene gy.
Ene gy E iciency Ra io (EER): Decla ed capaci y o cooling o a ed cooling o e ige a ion capaci y,
exp essed in kW, di ided by he a ed powe inpu , exp essed in kW.
Ene gy S o age Capaci y (ESC): Ene gy capaci y is he o al amoun o ene gy he ba e y sys em can
s o e.
Ene gy S o age Densi y (ESD): Is he amoun o ene gy s o ed in a gi en sys em o egion o space pe
uni olume.
Eu opean G een Deal: A Eu opean Union policy amewo k aimed a achie ing clima e neu ali y by
2050 h ough measu es such as educing g eenhouse gas emissions and p omo ing enewable ene gy
and ci cula economy p inciples.
Exe goeconomic op imiza ion ool: The exe goeconomic op imiza ion ool will be de eloped wi hin
he HYPERGRYD p ojec . The ool will be based on QGIS and Py hon o op imize ope a ion, componen s
and design o each a cos -e ec i e use and o inc ease he decen alized sha e o RES and P2H. The
ool will co e economic and he mal modelling o he DH g ids and conside a iable a i s o
consume s and p oduce s.
Exploi able Resul s (ER): The manu ac u e o con ac p oduc s o he applica ion o he con ac
p ocesses o he assignmen o licensing o in ellec ual p ope y igh s o he communica ion o know-
how equi ed o such manu ac u e o applica ion.
FAIR da a: Se o guiding p inciples o make da a Findable, Accessible, In e ope able and Reusable.
Fi o 55: An EU legisla i e ini ia i e aiming o educe g eenhouse gas emissions by 55% by 2030,
suppo ing he b oade goals o he Eu opean G een Deal.
Gene ic Algo i hms: Sea ch algo i hm based on he mechanics o na u al selec ion and na u al
gene ics.
Geog aphic In o ma ion Sys em (GIS): Compu e sys em ha analyses and displays geog aphically
e e enced in o ma ion.
Global wa ming po en ial (GWP): Fac o which desc ibes he adia i e o cing impac o one mass-
based uni o a gi en g eenhouse gas ela i e o an equi alen uni o ca bon dioxide o e a gi en
pe iod o ime.
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Se ice O ien ed A chi ec u e (SOA): S yle o so wa e design whe e se ices a e p o ided o he o he
componen s by applica ion componen s, h ough a communica ion p o ocol o e a ne wo k.
Sma Ene gy Dis ic s (SED): Those dis ic s (o ne wo ks) whe e he mal and elec ic g id a e coupled,
acco ding o he 4 h and 5 h gene a ion DHC models, and enewable ene gy sou ces a e soundly
in eg a ed wi h he g ids h ough he use o sma ha dwa e and so wa e solu ions.
Sma Ene gy T ading: The use o digi al pla o ms and echnologies o op imize ene gy ansac ions,
enabling e icien , anspa en , and eal- ime ading.
Sma Hyb id G ids (SHG): Hyb id sma g id ha p oduces elec ici y om a ious sou ces
Pho o ol aic (PV), hyd o and he mal powe wi h a deli e y sys em ha sa is ies ene gy op imiza ion
o he ene gy cos s in eal- ime (ECRT).
Social li e cycle assessmen (S-LCA): A powe ul echnique o assess and epo abou hese impac s
and bene i s o p oduc li e cycle om he ex ac ion o he na u al esou ces o he inal disposal.
Sola he mal (ST): Ene gy p oduced using di ec hea om he sun, concen a ing i o p oduce hea
a use ul empe a u es; sola he mal de ices do e e y hing om hea ing swimming pools o c ea ing
s eam o elec ici y gene a ion.
So p ion S o age (SOR): So p ion hea s o age belongs o he class o he mochemical s o age and
elies on a physical eac ion which in ol es he applica ion o dele ion o hea ene gy o occu .
Di e en ypes o so ben s a e used, zeoli es (aluminosilica es) being he mos common and mos
esea ched so ben s o so p ion hea s o age.
So p ion he mal ene gy s o age (STES): So p ion he mal ene gy s o age is a p omising echnology
o e ec i ely u ilizing enewable ene gy, indus ial was e hea and o -peak elec ici y owing o i s
ema kable ad an ages o a high ene gy s o age densi y and achie able long- e m ene gy p ese a ion
wi h negligible hea loss.
S akeholde Engagemen : The p ocess o in ol ing indi iduals, g oups, o o ganiza ions a ec ed by o
in e es ed in a p ojec o os e collabo a ion, ga he inpu , and ensu e mu ual bene i s.
S a e o Cha ge (SoC): A ailable capaci y emaining in a ba e y, exp essed as a pe cen age o he a ed
capaci y.
S eam Bu e (SB): A s eam bu e shall, as he name indica es, accomplish a le elling be ween powe
inpu in he shape o he s eam a i ing om he s eam gene a o and he powe ou pu o he s eam
engine, which will make i possible o use in e mi en and s ochas ic ene gy sou ces like sola ene gy
in s a iona y plan s, and abo e all make i possible o ob ain conside ably highe peak powe ou pu s
o sho pe iods han he powe ha co esponds o he s eam gene a o capaci y.
S eam u bine CHP sys ems: S eam u bines no mally gene a e elec ici y as a byp oduc o hea
(s eam) gene a ion. A s eam u bine uses a sepa a e hea sou ce and does no di ec ly con e uel o
elec ic ene gy. The ene gy is ans e ed om he boile o he u bine h ough high p essu e s eam
ha in u n powe s he u bine and gene a o . This sepa a ion o unc ions enables s eam u bines o
ope a e wi h an eno mous a ie y o uels, a ying om clean na u al gas o solid was e, including all
ypes o coal, wood, wood was e, and ag icul u al byp oduc s.

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Supe iso y Con ol and Da a Acquisi ion (SCADA): A gene ic name o a compu e ized sys em ha is
capable o ga he ing and p ocessing da a and applying ope a ional con ols o e long dis ances. Typical
uses include powe ansmission and dis ibu ion and pipeline sys ems. SCADA was designed o he
unique communica ion challenges (e.g., delays, da a in eg i y) posed by he a ious media ha mus
be used, such as phone lines, mic owa e, and sa elli e. Usually sha ed a he han dedica ed.
Sus ainabili y: The p ac ice o mee ing p esen needs wi hou comp omising he abili y o u u e
gene a ions o mee hei own, encompassing en i onmen al, social, and economic dimensions.
Technology Readiness Le els (TRL): Se o managemen me ics used o assess he ma u i y o a
pa icula echnology and o allow consis en compa ison o he ma u i y o di e en ypes o
echnology in a gi en sys em, applica ion and ope a ional en i onmen .
The Leas P i ilege P inciple: S ong guidance o main aining con iden iali y, ensu ing only he ba e
minimum access pe mission equi ed o comple e a ask is gua an eed o he use ;
mo eo e , i use s a e g an ed access pe mi s, exploi a ion oppo uni ies should be minimized.
The mal Ene gy S o age (TES): Technology ha s ocks he mal ene gy by hea ing o cooling a s o age
medium so ha he s o ed ene gy can be used a a la e ime o hea ing and cooling applica ions and
powe gene a ion.
The mal G id: Cen alized he mal gene a ion sys ems, a sys em o ne wo ks ha anspo he mal
luids, enable he demand o hea ing and domes ic ho wa e in homes and o he buildings o be me .
The mochemical S o age: S o age sys em using any p ocess which ans o ms an ini ial se o chemical
eagen s in o a di e en p oduc se o chemicals in ol ing he applica ion o dele ion o hea ene gy.
The mochemical S o age Sys ems (TCMS): The mochemical ene gy s o age is a new echnology which
p o ides he ad an age o high s o age densi ies and mino he mal losses. This makes he echnology
a ac i e o low- empe a u e long- e m s o age as well as o high- empe a u e s o age.
The mog a ime ic analysis (TGA): Type o es ing ha is pe o med on samples o de e mine changes
in weigh in ela ion o change in empe a u e.
Uni o Measu e (UoM): Value o a quan i y chosen by con en ion as a e e ence o measu ing
quan i ies o he same kind.
Use case (UC): Desc ip ion o how use s will pe o m asks on a compu e sys em.
Vanadium Redox Flow Ba e y (VRFB): Is a ype o echa geable low ba e y. I employs anadium
ions as cha ge ca ie s. The ba e y uses anadium’s abili y o exis in a solu ion in ou di e en
oxida ion s a es o make a ba e y wi h a single elec oac i e elemen ins ead o wo. Fo se e al
easons, including hei ela i e bulkiness, anadium ba e ies a e ypically used o g id ene gy
s o age, i.e., a ached o powe plan s/elec ical g ids.
Va iable ene gy esou ces (VREs): Re e s o any gene a ion esou ce whose ou pu is no pe ec ly
con ollable by a ansmission sys em ope a o , and whose ou pu is dependen on a uel esou ce
ha canno be di ec ly s o ed o s ockpiled and whose a ailabili y is di icul o p edic . Wind and sola
powe gene a ion a e he p ima y VERs, since he sun does no shine all he ime (e en du ing he day,
clouds and dus can in e e e wi h sola powe gene a ion in su p ising ways) and he wind does no
D6.8 HYPERGRYD Wiki public inal e sion and Whi e Book
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blow all he ime. In some cases, hyd oelec ici y wi hou s o age (so-called “ un o i e ” hyd o) could
be conside ed a VER since i s ou pu is dependen on s eam low a any gi en momen .
Ze o-Emission Buildings (ZEBs): Buildings ha achie e ne -ze o ca bon emissions, ypically by
gene a ing as much enewable ene gy as hey consume and maximizing ene gy e iciency.