Renewable-Colocated Green Hydrogen Production: Optimal Scheduling and Profitability
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866913117691183104 |
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| author | Li, Siying Tong, Lang Mount, Timothy Upadhyay, Kanchan Eisenhardt, Harris Kumar, Pradip |
| author_facet | Li, Siying Tong, Lang Mount, Timothy Upadhyay, Kanchan Eisenhardt, Harris Kumar, Pradip |
| contents | We study the optimal green hydrogen production and energy market participation of a renewable-colocated hydrogen producer (RCHP) that utilizes onsite renewable generation for both hydrogen production and grid services. Under deterministic and stochastic profit-maximization frameworks, we analyze RCHP's multiple market participation models and derive closed-form optimal scheduling policies that dynamically allocate renewable energy to hydrogen production and electricity export to the wholesale market. Analytical characterizations of the RCHP's operating profit and the optimal sizing of renewable and electrolyzer capacities are obtained. We use real-time renewable generation and electricity price data from three independent system operators to evaluate the impacts of market prices and environmental policies on RCHP's profitability. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_18368 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Renewable-Colocated Green Hydrogen Production: Optimal Scheduling and Profitability Li, Siying Tong, Lang Mount, Timothy Upadhyay, Kanchan Eisenhardt, Harris Kumar, Pradip Systems and Control We study the optimal green hydrogen production and energy market participation of a renewable-colocated hydrogen producer (RCHP) that utilizes onsite renewable generation for both hydrogen production and grid services. Under deterministic and stochastic profit-maximization frameworks, we analyze RCHP's multiple market participation models and derive closed-form optimal scheduling policies that dynamically allocate renewable energy to hydrogen production and electricity export to the wholesale market. Analytical characterizations of the RCHP's operating profit and the optimal sizing of renewable and electrolyzer capacities are obtained. We use real-time renewable generation and electricity price data from three independent system operators to evaluate the impacts of market prices and environmental policies on RCHP's profitability. |
| title | Renewable-Colocated Green Hydrogen Production: Optimal Scheduling and Profitability |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2504.18368 |