Optimal Sizing of Charging Energy Hubs for Heavy-Duty Electric Transport through Co-Optimization
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866911416015912960 |
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| author | Izadi, M. Zapico, D. Fernandez Salazar, M. Hofman, T. |
| author_facet | Izadi, M. Zapico, D. Fernandez Salazar, M. Hofman, T. |
| contents | Electrification of heavy-duty vehicles places substantial stress on distribution grids, and Charging Energy Hubs (CEHs) mitigate these impacts by integrating charging infrastructure with renewable energy sources and battery storage. Optimal sizing of CEH components is therefore a critical investment decision, yet challenging because design choices depend strongly on operational dynamics. This work presents a mixed-integer linear programming model for the optimal sizing of CEH components, using a co-design approach that jointly optimizes component sizing and operational decisions. A case study for a heavy-duty fleet demonstrates the effectiveness of the method for cost-efficient, scalable, and grid-compliant CEH planning. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_01502 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Optimal Sizing of Charging Energy Hubs for Heavy-Duty Electric Transport through Co-Optimization Izadi, M. Zapico, D. Fernandez Salazar, M. Hofman, T. Systems and Control Electrification of heavy-duty vehicles places substantial stress on distribution grids, and Charging Energy Hubs (CEHs) mitigate these impacts by integrating charging infrastructure with renewable energy sources and battery storage. Optimal sizing of CEH components is therefore a critical investment decision, yet challenging because design choices depend strongly on operational dynamics. This work presents a mixed-integer linear programming model for the optimal sizing of CEH components, using a co-design approach that jointly optimizes component sizing and operational decisions. A case study for a heavy-duty fleet demonstrates the effectiveness of the method for cost-efficient, scalable, and grid-compliant CEH planning. |
| title | Optimal Sizing of Charging Energy Hubs for Heavy-Duty Electric Transport through Co-Optimization |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2602.01502 |