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
WP4 – HYPERGRYD Digi al Twin Pla o m as
a se ice
Task 4.5 Wo k low managemen and end-
use API de elopmen
D4.5 Fully ope a ional HYPERGRYD
Pla o m and API wi h in eg a ed ools
and se ices
Re . A es(2025)2409285 - 25/03/2025
D4.5 - Fully ope a ional HYPERGRYD Pla o m and API wi h in eg a ed ools and se ices
2
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.
D4.5 - Fully ope a ional HYPERGRYD Pla o m and API wi h in eg a ed ools and se ices
3
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.
D4.5
Deli e able i le
Fully ope a ional HYPERGRYD Pla o m and API wi h in eg a ed ools and se ices
Desc ip ion
The objec i e o his ask is o desc ibe he de elopmen o he API, which will be
based on di e en HYPERGRYD ools/se ice equi emen s ega ding da a exchange
needs, o ma s, e c.,success ully in eg a ing ools and se ices de eloped by he
p ojec pa ne s - Gussing Ene gy Technologies Gmbh (GET), Encoo d GmbH (ENCO),
G id Singula i y (GSY), and Kungliga Tekniska Hoegskolan (KTH) - in o he HYPERGRYD
PaaS/SaaS de eloped by p ojec pa ne IDP Ingenie ia Y A qui ec u a Ibe ia SL (IDP).
The API, which unde pins HYPERGRYD’s PaaS and i s in eg a ed se ices/ ools aims o
ake in o accoun end-use /s akeholde ecommenda ions, usabili y echniques and
me hods - used a di e en s ages o he de elopmen - which gua an ees an end
p oduc ha mee s p e ious needs and equi emen s om s akeholde s, use cases,
oles, ICT a chi ec u e, planning pla o m and da a equi emen s om p e ious asks:
T4.1, T4.2 and T4.3. This de eloped API p esen s a comple e con ol sys em adap ed
o ene gy sa ing and op imisa ion d i en con igu a ion, including a use - iendly and
com o able in e ace o use s, which will implemen solu ions o all he known use
cases. An in e ace ha helps isualize he ga he ed and ele an da a o disco e
ac ionable insigh s is he e p esen ed. This esponsi e in e ace can be adap ed o
mee all use s’ ene gy managemen needs as well as o he needs ega ding acili y
and/o asse managemen , design & cons uc ion planning and managemen , e c.
The pla o m also aids decision making o wo k low managemen in eal ime, o
bo h he elec ical and he mal ene gy lows se in he coupled ene gy ne wo k
complex, as an in ui i e dashboa d (in e ace) h ough ga he ed in o ma ion based
on di e en HYPERGRYD ools/se ices.
WP No.
WP4
Rela ed ask
T4.5 – Wo k low managemen and end-use API de elopmen
Lead Bene icia y
9 - IDP
Au ho (s)
Jo ge Leao, Luis Ibañez Ad ian, Genis Ca illo, Mikel Bo as (IDP)
Con ibu o (s)
-
Type
OTHER
Dissemina ion
PU Public
Language
English – GB
Due
31/03/2025
Submission da e
31/03/2025
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Table o Con en s
1 Execu i e Summa y ............................................................................................... 7
2 In oduc ion .......................................................................................................... 8
2.1 Scope ......................................................................................................................... 8
2.2 Audience ................................................................................................................... 8
2.3 De ini ions / Glossa y................................................................................................ 8
2.4 Abb e ia ions ............................................................................................................ 8
2.5 Con ibu ions o pa ne s ......................................................................................... 9
2.6 Baseline ..................................................................................................................... 9
2.7 Rela ion o o he ac i i ies ....................................................................................... 9
2.8 S uc u e ................................................................................................................... 9
3 Exe goeconomic op imiza ion ool o 4 h and 5 h gene a ion o DHC ..................... 10
4 SAIn - Scena io Analysis In e ace o Ene gy Sys ems .......................................... 18
5 G id Singula i y Exchange (local ene gy ma ke place ools) ................................... 26
6 ICT-enabled AI ool o hea ing managemen o a local ene gy communi y ............ 30
7 Conclusions .......................................................................................................... 33
8 Re e ences ........................................................................................................... 34
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Lis o Figu es
Figu e 1. Exe goeconomic simula ion dashboa d. .............................................................................. 10
Figu e 2. Exe goeconomic simula ions. ............................................................................................... 10
Figu e 3. Dis ic consume s lis . ......................................................................................................... 11
Figu e 4. Exe goeconomic Dis ic consume s simula ion esul s. ..................................................... 12
Figu e 5. Exe goeconomic Dis ic consume s he mal load simula ion esul . ................................. 12
Figu e 6. Exe goeconomic Dis ic consume s low simula ion esul . .............................................. 12
Figu e 7. Exe goeconomic Dis ic consume s low empe a u e simula ion esul . ........................ 13
Figu e 8. Exe goeconomic Dis ic consume s e u n empe a u e simula ion esul . ..................... 13
Figu e 9. Exe goeconomic Dis ic consume s low a ge empe a u e a cos ume simula ion esul .
............................................................................................................................................................. 13
Figu e 10. Exe goeconomic Dis ic consume s exe gy di e ence simula ion esul . ....................... 14
Figu e 11. Exe goeconomic op imiza ion ool o 4 h and 5 h gene a ion o DHC ool simula ion
esul s o he hea losses o a consume . .......................................................................................... 14
Figu e 12. Dis ic pipelines lis . .......................................................................................................... 15
Figu e 13. Dis ic pipes low simula ion esul . .................................................................................. 16
Figu e 14. Dis ic pipes low empe a u e simula ion esul . ............................................................ 16
Figu e 15. Dis ic pipes pipe p essu e loss simula ion esul . ............................................................ 17
Figu e 16. Dis ic pipes speci ic p essu e loss simula ion esul . ....................................................... 17
Figu e 17. Dis ic pipes low a ge empe a u e a consume simula ion esul . ............................ 18
Figu e 18. Exe goeconomic op imiza ion ool o 4 h and 5 h gene a ion o DHC ool simula ion
esul s o hea losses.......................................................................................................................... 18
Figu e 19. DTwin Encoo d API endpoin s. ........................................................................................... 19
Figu e 20. Menu o selec ing he ype o ne wo k o unning a SAIn simula ion. .......................... 19
Figu e 21. Example o a SAIn he mal g id simula ion in he HYPERGRYD pla o m. ........................ 20
Figu e 22. Example o he lis o nodes in a SAIn he mal g id ne wo k. .......................................... 20
Figu e 23. Example o he SAIn he mal g id simula ion node esul s. ............................................. 21
Figu e 24. Example o he lis o b anches (i.e., pipelines) in a SAIn he mal g id ne wo k. ............. 21
Figu e 25. SAIn he mal g id simula ion b anch esul s. .................................................................... 22
Figu e 26. Example o he lis o ex e nals (i.e., hea demand and hea supply poin s) in a SAIn he mal
ne wo k. .............................................................................................................................................. 22
Figu e 27. SAIn he mal g id simula ion ex e nal esul s. ................................................................. 23
Figu e 28. Example o a SAIn elec ic g id simula ion in he HYPERGRYD pla o m. ......................... 23
Figu e 29. Example o he lis o nodes in a SAIn elec ic g id ne wo k. ........................................... 24
Figu e 30. Example o he SAIn elec ic g id simula ion node esul s. .............................................. 24
Figu e 31. Example o he lis o b anches (i.e., pipelines) in a SAIn elec ic g id ne wo k. .............. 25
Figu e 32. SAIn elec ical g id simula ion b anch esul s. .................................................................. 25
Figu e 33. Example o he lis o ex e nals (i.e., elec ic demand and elec ic supply poin s) in a SAIn
elec ic ne wo k. ................................................................................................................................. 26
Figu e 34. SAIn elec ical g id simula ion esul ex e nal. ................................................................. 26
Figu e 35. Di ec access o he GSY LEM Simula ion Tool esul s o an example simula ion h ough he
HYPERGRYD Pla o m dashboa d. ....................................................................................................... 27
Figu e 36. GSY LEM Simula ion Tool: dashboa d isualisa ion esul s o an example simula ion. ..... 27
Figu e 37. GSY esul s. ......................................................................................................................... 29
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Figu e 38. HYPERGRYD pla o m asse s in en o y. ............................................................................. 30
Figu e 39. HYPERGRYD pla o m sma me e da a isualiza ion. ...................................................... 30
Figu e 40. So wa e solu ion o he KTH ICT ool o SONNE. ............................................................. 31
Figu e 41. Da a low om sma me e s o he KTH se e . ............................................................... 32
Figu e 42. Da a low om he KTH se e o he di e en se ice use s. .......................................... 32
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1 Execu i e Summa y
The goal o 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 Renewable Ene gy Sou ces (RES) wi h di e en
dispa chabili y and in insic a iabili y inside The mal G ids as well as hei link wi h he Elec ical
G ids, including he de elopmen o inno a i e key componen s, in pa allel wi h inno a i e and
in eg a ed ICT se ices o med by a scalable sui e o ools o he p ope 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 pu pose o his deli e able is o de ail he success ul in eg a ion o ools and se ices de eloped
by he p ojec pa ne s, Güssing Ene gy Technologies GmbH (GET), Encoo d GmbH (ENCO), G id
Singula i y (GSY), and Kungliga Tekniska Hoegskolan (KTH) in o he HYPERGRYD PaaS/SaaS de eloped
by p ojec pa ne IDP Ingenie ia Y A qui ec u a Ibe ia SL (IDP). The join pla o m, he e o e p o ides
access o he ollowing se ices:
ENCO -> SAIn (Scena io Analysis In e ace o Ene gy Sys ems) Modelling and simula ion
so wa e designed o simula e he ope a ion o an in eg a ed ene gy sys em ha couples
hea ing and elec ici y ne wo ks:
• GET -> Exe goeconomic op imiza ion ool o 4 h and 5 h gene a ion o DHC: Exe gy-based
analysis and assessmen o ene gy-con e sion sys ems o dis ic hea ing and cooling.
• GSY -> G id Singula i y Exchange : Tool s ack including ad anced local pee - o-pee ene gy
ading simula ion ool ha suppo s planning by e alua ing he bene i s o P2P ading and
analysing he mos op imal asse con igu a ion, wi h addi ional ools o manage ope a ion o
ene gy communi ies;
• KTH -> IoT-enabled demand esponse managemen (DRM) o local ene gy communi ies: An
open-sou ce so wa e solu ion ha enables cos -e ec i e hea ing by coo dina ing ene gy
managemen among communi y membe s.
The epo 's in ended audience encompasses a wide ange o s akeholde s, including Dis ic Hea ing
and Cooling (DHC) ope a o s, Dis ibu ion Sys em Ope a o s (DSOs), Ene gy Se ice Companies
(ESCOs), ene gy p oduce s, ene gy supplie s, municipali ies, local and na ional policymake s in ol ed
in ene gy e iciency decision-making, was e hea supplie s, enginee ing i ms, and u ili y companies.
This public epo will allow hem o e iew inno a i e solu ions de eloped in he amewo k o he
HYPERGRYD p ojec and conside hei u u e ma ke applica ion.
On behal o Au ho s
Jo ge Leão (IDP)
Genis Ca illo (IDP)
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2 In oduc ion
2.1 Scope
This epo de ails he success ul in eg a ion o ools and se ices om GET, ENCO, and GSY in o he
HYPERGRYD PaaS/SaaS de eloped by IDP. The implemen a ion adhe es o he a chi ec u e de ined
in Deli e able 4.2: « ICT A chi ec u e and da a equi emen s o HYPERGRYD DT PaaS ».
2.2 Audience
This epo is in ended o echnical s akeholde s in e es ed in he applica ion o a Digi al Twin-based
PaaS o he in eg a ion o he mal and elec ic g ids. A undamen al unde s anding o he subjec
ma e is assumed, which may limi i s accessibili y o he gene al public and end-use s.
Ta ge g oups o he deli e able include:
- ESCOs (Ene gy Se ice Companies)
- DSOs (Dis ibu ion Sys em Ope a o s)
- DH (Dis ic Hea ing) ope a o s
- Ene gy p oduce s
- Municipali ies and policy make s
- Enginee ing p o essionals
- Ene gy communi y manage s, end-use s and he gene al public.
2.3 De ini ions / Glossa y
BIM – Building In o ma ion Modelling, i is he i ual ep esen a ion o he physical and unc ional
cha ac e is ics o a acili y (Tang e al., 2017).
GIS – Geog aphic In o ma ion Sys em, i is a compu e sys em o cap u ing, s o ing, checking, and
displaying da a ela ed o posi ions on Ea h’s su ace (GIS (Geog aphic In o ma ion Sys em), n.d.).
Digi al Twin – Technology ha uses digi al ep esen a ion o eal-wo ld asse s allowing he use s o
access hese asse s and hei da a such as hei dimensions o he cos o ene gy consump ion o an
equipmen (O e iew: Wha Is Digi al Twin Technology?, 2022).
API – Applica ion P og amming In e ace, i is a so wa e in e ace ha allows di e en p og ams o
communica e (Wha Is an API? Applica ion P og amming In e ace De ini ion, 2022).
2.4 Abb e ia ions
API : Applica ion P og amming In e ace
BIM: Building In o ma ion Modelling
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DHC: Dis ic Hea ing and Cooling
DSO: Dis ibu ion Sys em Ope a o
ESCO: Ene gy Se ice Company
GIS: Geog aphic In o ma ion Sys em
LEM: Local Ene gy Ma ke
PaaS: Pla o m as a Se ice
P2P: Pee - o-Pee
PV : Pho o ol aics
SaaS: So wa e as a Se ice
2.5 Con ibu ions o pa ne s
The IDP eam exclusi ely au ho ed his deli e able, wi h o he echnical pa ne s p o iding inpu s o
he solu ions hey de eloped and a deli e able e iew.
2.6 Baseline
This deli e able builds upon he wo k pe o med in ask 4.5 – « Wo k low managemen and end-use
API de elopmen » which i s objec i e is o in eg a e he di e en ools and se ices om GET, ENCO,
GSY, and KTH speci ied in D4.2 – « ICT A chi ec u e and da a equi emen s o HYPERGRYD DT PaaS ».
2.7 Rela ion o o he ac i i ies
• Inpu s: D4.2, D4.3, T4.2, T4.3, and T4.5.
2.8 S uc u e
• Sec ion 1: Execu i e Summa y.
• Sec ion 2: In oduc ion.
• Sec ion 3: Exe goeconomic op imiza ion ool o 4 h and 5 h gene a ion o DHC.
• Sec ion 4: SAIn - Scena io Analysis In e ace o Ene gy Sys ems.
• Sec ion 5: G id Singula i y Exchange (local ene gy ma ke place ool).
• Sec ion 6: ICT-enabled AI ool o he managemen o a local ene gy communi y.
• Sec ion 7: Conclusions.
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Figu e 13. Dis ic pipes low simula ion esul .
Figu e 14. Dis ic pipes low empe a u e simula ion esul .
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Figu e 15. Dis ic pipes pipe p essu e loss simula ion esul .
Figu e 16. Dis ic pipes speci ic p essu e loss simula ion esul .
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Figu e 17. Dis ic pipes low a ge empe a u e a consume simula ion esul .
Figu e 18. Exe goeconomic op imiza ion ool o 4 h and 5 h gene a ion o DHC ool simula ion esul s o hea losses.
4 SAIn - Scena io Analysis In e ace o Ene gy Sys ems
The “Scena io Analysis In e ace o Ene gy Sys ems” (SAIn ) is modelling and simula ion so wa e
designed o simula e he ope a ion o an in eg a ed ene gy sys em ha couples hea ing and
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elec ici y ne wo ks. This se ice is in eg a ed di ec ly in o he HYPERGRYD Pla o m back end, and
o un i , we had o ins all he license p o ided by SAIn di ec ly on he pla o m i ual se e .
This se ice is a co e se ice o he HYPERGRYD pla o m and in eg a es seemingly wi h he BIM-GIS
oolki . Wi h he oolki , he use d aws he mal and elec ic ne wo ks, including he buildings ha
will consume ene gy, he ene gy p o ide asse s o he g id (e.g., PV plans), he nodes o he ne wo k,
he connec ion o he buildings, and he poin s whe e he ne wo k will connec ou side he g id. The
objec s making up a ne wo k ha e speci ic p ope ies which he use can modi y, like he diame e o
a pipeline o he a ed cu en capaci y o an elec ic line.
A e a dis ic hea ing o an elec ical g id is modelled using he BIM-GIS oolki , a scena io needs o
be c ea ed on he « Simula ion module » o he SAIn ool in o de o un he simula ion. To c ea e a
scena io, i is necessa y o speci y he s a and end da es o he simula ion and he ime s ep. The
scena io da a consis s o he da es and imes ep men ioned be o e, he scena io ype ( o example
« S eadyThe mal » o a s eady s a e he mal simula ion o he mal ne wo ks o « S eadyACFP » o
a s eady s a e al e na ing cu en powe low simula ion o an elec ical ne wo k), he ne wo k da a,
he p o iles (i.e., how p ope ies should be changing in a quasi-dynamic simula ion) o e en s da a
(i.e., cons ain s o p ope ies se -poin s) and he scena io name. This da a is egis e ed in o a
da abase and hen used o c ea e a json model, which is sen and consumed by he SAIn ’s API.
Figu e 19. DTwin Encoo d API endpoin s.
The API is hos ed nex o he SAIn licence manage on a i ual machine. The se ice uns, execu es
a simula ion, and e u ns he esul s o he HYPERGRYD pla o m, which makes hem a ailable o he
use h ough he HYPERGRYD pla o m dashboa d. The SAIn dashboa d allows he use o see he
esul s o he mal o elec ical s imula ion.
Figu e 20. Menu o selec ing he ype o ne wo k o unning a SAIn simula ion.
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Figu e 21. Example o a SAIn he mal g id simula ion in he HYPERGRYD pla o m.
Figu e 22. Example o he lis o nodes in a SAIn he mal g id ne wo k.
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Figu e 23. Example o he SAIn he mal g id simula ion node esul s.
Figu e 24. Example o he lis o b anches (i.e., pipelines) in a SAIn he mal g id ne wo k.
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Figu e 25. SAIn he mal g id simula ion b anch esul s.
Figu e 26. Example o he lis o ex e nals (i.e., hea demand and hea supply poin s) in a SAIn he mal ne wo k.
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Figu e 27. SAIn he mal g id simula ion ex e nal esul s.
Figu e 28. Example o a SAIn elec ic g id simula ion in he HYPERGRYD pla o m.
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Figu e 29. Example o he lis o nodes in a SAIn elec ic g id ne wo k.
Figu e 30. Example o he SAIn elec ic g id simula ion node esul s.
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Figu e 31. Example o he lis o b anches (i.e., pipelines) in a SAIn elec ic g id ne wo k.
Figu e 32. SAIn elec ical g id simula ion b anch esul s.
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Figu e 41. Da a low om sma me e s o he KTH se e .
Figu e 42. Da a low om he KTH se e o he di e en se ice use s.
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7 Conclusions
This epo de ailed he success ul in eg a ion o ools and se ices de eloped by p ojec pa ne s
GET, ENCO, and GSY in o he HYPERGRYD PaaS/SaaS de eloped by IDP. The implemen a ion adhe ed
o he a chi ec u e de ined in Deli e able 4.2: “ICT A chi ec u e and da a equi emen s o
HYPERGRYD DT PaaS”.
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8 Re e ences
Tang, L., Chen, C., Tang, S., Wu, Z., & T o imo a, P. (2017). Building in o ma ion modeling and building
pe o mance op imiza ion. In Else ie eBooks (pp. 311–320). h ps://doi.o g/10.1016/b978-
0-12-409548-9.10200-3
Geog aphic In o ma ion Sys em (GIS). (n.d.). Na ional Geog aphic Educa ion.
h ps://educa ion.na ionalgeog aphic.o g/ esou ce/geog aphic-in o ma ion-sys em-gis/
Wix-encyclopedia. (2022, No embe 28). Wha is an API? Applica ion P og amming In e ace
De ini ion. h ps://www.wix.com/encyclopedia/de ini ion/applica ion-p og amming-
so wa e-
api?u m_sou ce=google&u m_medium=cpc&u m_campaign=13708482663^124757113632
&expe imen _id=^^530755701293^^_DSA&gclid=Cj0KCQjwzdOlBhCNARIsAPMwjbx9c3ps5p
wQS5be5bhQJ4TSN_xn3zzlb2ATJ4FqQl lxRJBFJFg O8aAiYSEALw_wcB
