Multi-agent based modeling for investigating excess heat utilization from electrolyzer production to district heating network

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Abstract

Power-to-Hydrogen is crucial for the renewable energy transition, yet existing literature lacks business models for the significant excess heat it generates. This study addresses this by evaluating three models for selling electrolyzer-generated heat to district heating grids: constant, flexible, and renewable-source hydrogen production, with and without heat sales. Using agent-based modeling and multi-criteria decision-making methods (VIKOR, TOPSIS, PROMETHEE), it finds that selling excess heat can cut hydrogen production costs by 5.6%. The optimal model operates flexibly with electricity spot prices, includes heat sales, and maintains a hydrogen price of 3.3 EUR/kg. Environmentally, hydrogen pro-duction from grid electricity could emit up to 13,783.8 tons of CO2 over four years from 2023. The best economic and environmental model uses renewable sources and sells heat at 3.5 EUR/kg.
OriginalsprogEngelsk
Titel4th Energy Informatics Academy Conference 2024
ForlagSpringer
StatusAccepteret/In press - 2024
BegivenhedEnergy Informatics.Academy Conference 2024 - Bali, Indonesien
Varighed: 23. okt. 202425. okt. 2024
https://www.energyinformatics.academy/eia-2024-conference

Konference

KonferenceEnergy Informatics.Academy Conference 2024
LokationBali
Land/OmrådeIndonesien
Periode23/10/202425/10/2024
Internetadresse

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