@inproceedings{f69453bae2264a9293aa9265af31cc00,
title = "Process-to-Market: A Web-Based Evaluation Tool for Electricity Market Participation",
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{\textquoteright}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.",
keywords = "Demand response, Power-to-Hydrogen, electricity consumers, electricity market, flexibility parameters, optimization model, web-based tool",
author = "Henrik Schwarz and G{\"a}rdstr{\"o}m, \{Hampus Fink\} and Nicolas Fatras and Madsen, \{Frederik Wagner\} and J{\o}rgensen, \{Bo N{\o}rregaard\} and Ma, \{Zheng Grace\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 4th Energy Informatics.Academy Conference, EI.A 2024 ; Conference date: 23-10-2024 Through 25-10-2024",
year = "2025",
doi = "10.1007/978-3-031-74738-0\_5",
language = "English",
isbn = "9783031747373",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science+Business Media",
pages = "71--88",
editor = "J{\o}rgensen, \{Bo N{\o}rregaard\} and Ma, \{Zheng Grace\} and Wijaya, \{Fransisco Danang\} and Roni Irnawan and Sarjiya Sarjiya",
booktitle = "Energy Informatics",
address = "United States",
}