Abstract
In deregulated electricity markets, large industrial consumers face significant challenges in participating effectively due to complexities in market regulations and diverse flexibility requirements. This paper introduces “Process2Market,” a web-based evaluation tool designed to assist large electricity consumers in the Nordics by leveraging the Process-to-Market Matrix Mapping (P2MM) model. The tool employs a Python-based optimization program integrated with a comprehensive questionnaire and market data analysis to evaluate market participation feasibility. By providing an accessible online interface, Process2Market facilitates broader engagement and understanding among stakeholders, including researchers and electricity consumers. A case study involving a hypothetical Power-to-Hydrogen (PtH) facility demonstrates the tool’s practical application, highlighting its potential to enhance grid stability through increased demand-side flexibility and optimized market participation. This paper contributes to the field by presenting a detailed methodology for developing a web-based tool, offering a practical application in a case study, and providing insights into the integration of industrial processes into electricity markets.
Originalsprog | Engelsk |
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Titel | Energy Informatics : 4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23–25, 2024, Proceedings, Part I |
Redaktører | Bo Nørregaard Jørgensen, Zheng Grace Ma, Fransisco Danang Wijaya, Roni Irnawan, Sarjiya Sarjiya |
Antal sider | 18 |
Forlag | Springer Science+Business Media |
Publikationsdato | 2025 |
Sider | 71-88 |
ISBN (Trykt) | 9783031747373 |
DOI | |
Status | Udgivet - 2025 |
Begivenhed | 4th Energy Informatics.Academy Conference, EI.A 2024 - Bali, Indonesien Varighed: 23. okt. 2024 → 25. okt. 2024 |
Konference
Konference | 4th Energy Informatics.Academy Conference, EI.A 2024 |
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Land/Område | Indonesien |
By | Bali |
Periode | 23/10/2024 → 25/10/2024 |
Navn | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Vol/bind | 15271 LNCS |
ISSN | 0302-9743 |
Bibliografisk note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.