Projektdetaljer
Beskrivelse
Accelerating the digital innovation in the PtX energy sector and its related sectors requires considering all stakeholders in the development of digital ecosystem solutions for efficient sector coupling in PtX value chains.
The proposed project will involve all stakeholders in the PtX energy ecosystem, in a joint effort for designing and evaluating new digital sector coupling solutions, comprising both data-driven services and business models, for effective sector coupling.
This project aims to introduce the ecosystem-thinking based innovation methodology developed at SDU – Center for Energy Informatics to facilitate the co-design, evaluation, and development of digital sector coupling solutions for the PtX energy sector addressing the national and international market.
The proposed project will involve all stakeholders in the PtX energy ecosystem, in a joint effort for designing and evaluating new digital sector coupling solutions, comprising both data-driven services and business models, for effective sector coupling.
This project aims to introduce the ecosystem-thinking based innovation methodology developed at SDU – Center for Energy Informatics to facilitate the co-design, evaluation, and development of digital sector coupling solutions for the PtX energy sector addressing the national and international market.
| Akronym | ClusterSoutH2 |
|---|---|
| Status | Afsluttet |
| Effektiv start/slut dato | 01/05/2022 → 31/05/2023 |
Samarbejdspartnere
- Center Denmark (Projektpartner) (leder)
- Business Esbjerg (Projektpartner)
- Aalborg Universitet (Projektpartner)
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Relaterede publikationer
- 1 Konferencebidrag i proceedings
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Multi-agent based modeling for investigating excess heat utilization from electrolyzer production to district heating network
Christensen, K., Jørgensen, B. N. & Ma, Z. G., 2025, Energy Informatics: 4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23–25, 2024, Proceedings, Part I. Jørgensen, B. N., Ma, Z. G., Wijaya, F. D., Irnawan, R. & Sarjiya, S. (red.). Springer, s. 365-378 (Lecture Notes in Computer Science, Bind 15271).Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review
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