Dynamic Optimization of Proton Exchange Membrane Water Electrolyzers Considering Usage-Based Degradation
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866914791602257920 |
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| author | Schofield, Landon Paren, Benjamin Macdonald, Ruaridh Shao-Horn, Yang Mallapragada, Dharik |
| author_facet | Schofield, Landon Paren, Benjamin Macdonald, Ruaridh Shao-Horn, Yang Mallapragada, Dharik |
| contents | We present a techno-economic optimization model for evaluating the design and operation of proton exchange membrane (PEM) electrolyzers, crucial for hydrogen production powered by variable renewable electricity. This model integrates a 0-D physics representation of the electrolyzer stack, complete mass and energy balances, operational constraints, and empirical data on use-dependent degradation. Utilizing a decomposition approach, the model predicts optimal electrolyzer size, operation, and necessary hydrogen storage to satisfy baseload demands across various technology and electricity price scenarios. Analysis for 2022 shows that including degradation effects raises the levelized cost of hydrogen from \$4.56/kg to \$6.60/kg and decreases stack life to two years. However, projections for 2030 anticipate a significant reduction in costs to approximately \$2.50/kg due to lower capital expenses, leading to larger stacks, extended lifetimes, and less hydrogen storage. This approach is adaptable to other electrochemical systems relevant for decarbonization. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_06766 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Dynamic Optimization of Proton Exchange Membrane Water Electrolyzers Considering Usage-Based Degradation Schofield, Landon Paren, Benjamin Macdonald, Ruaridh Shao-Horn, Yang Mallapragada, Dharik Systems and Control Optimization and Control We present a techno-economic optimization model for evaluating the design and operation of proton exchange membrane (PEM) electrolyzers, crucial for hydrogen production powered by variable renewable electricity. This model integrates a 0-D physics representation of the electrolyzer stack, complete mass and energy balances, operational constraints, and empirical data on use-dependent degradation. Utilizing a decomposition approach, the model predicts optimal electrolyzer size, operation, and necessary hydrogen storage to satisfy baseload demands across various technology and electricity price scenarios. Analysis for 2022 shows that including degradation effects raises the levelized cost of hydrogen from \$4.56/kg to \$6.60/kg and decreases stack life to two years. However, projections for 2030 anticipate a significant reduction in costs to approximately \$2.50/kg due to lower capital expenses, leading to larger stacks, extended lifetimes, and less hydrogen storage. This approach is adaptable to other electrochemical systems relevant for decarbonization. |
| title | Dynamic Optimization of Proton Exchange Membrane Water Electrolyzers Considering Usage-Based Degradation |
| topic | Systems and Control Optimization and Control |
| url | https://arxiv.org/abs/2405.06766 |