Sequential Operation of Residential Energy Hubs using Physics-Based Economic Nonlinear MPC
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911377412587520 |
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| author | Slaifstein, Darío Mouli, Gautham Ram Chandra Ramirez-Elizondo, Laura Bauer, Pavol |
| author_facet | Slaifstein, Darío Mouli, Gautham Ram Chandra Ramirez-Elizondo, Laura Bauer, Pavol |
| contents | The operation of residential energy hubs with multiple energy carriers (electricity, heat, mobility) poses a significant challenge due to different carrier dynamics, hybrid storage coordination and high-dimensional action-spaces. Energy management systems oversee their operation, deciding the set points of the primary control layer. This paper presents a novel 2-stage economic model predictive controller for electrified buildings including physics-based models of the battery degradation and thermal systems. The hierarchical control operates in the Dutch sequential energy markets. In particular common assumptions regarding intra-day markets (auction and continuous-time) are discussed as well as the coupling of the different storage systems. The best control policy it is best to follow continuous time intra-day in the summer and the intra-day auction in the winter. This sequential operation comes at the expense of increased battery degradation. Lastly, under our controller, the realized short-term flexibility of the thermal energy storage is marginal compared to the flexibility delivered by stationary battery pack and electric vehicles with bidirectional charging. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_20621 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Sequential Operation of Residential Energy Hubs using Physics-Based Economic Nonlinear MPC Slaifstein, Darío Mouli, Gautham Ram Chandra Ramirez-Elizondo, Laura Bauer, Pavol Systems and Control Optimization and Control The operation of residential energy hubs with multiple energy carriers (electricity, heat, mobility) poses a significant challenge due to different carrier dynamics, hybrid storage coordination and high-dimensional action-spaces. Energy management systems oversee their operation, deciding the set points of the primary control layer. This paper presents a novel 2-stage economic model predictive controller for electrified buildings including physics-based models of the battery degradation and thermal systems. The hierarchical control operates in the Dutch sequential energy markets. In particular common assumptions regarding intra-day markets (auction and continuous-time) are discussed as well as the coupling of the different storage systems. The best control policy it is best to follow continuous time intra-day in the summer and the intra-day auction in the winter. This sequential operation comes at the expense of increased battery degradation. Lastly, under our controller, the realized short-term flexibility of the thermal energy storage is marginal compared to the flexibility delivered by stationary battery pack and electric vehicles with bidirectional charging. |
| title | Sequential Operation of Residential Energy Hubs using Physics-Based Economic Nonlinear MPC |
| topic | Systems and Control Optimization and Control |
| url | https://arxiv.org/abs/2507.20621 |