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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.10446 |
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| _version_ | 1866916441655083008 |
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| author | Falugi, P. O'Dwyer, E. Zagorowska, M. A. Kerrigan, E. C. Nie, Y. Strbac, G. Shah, N. |
| author_facet | Falugi, P. O'Dwyer, E. Zagorowska, M. A. Kerrigan, E. C. Nie, Y. Strbac, G. Shah, N. |
| contents | Cost-effective decarbonisation of the built environment is a stepping stone to achieving net-zero carbon emissions since buildings are globally responsible for more than a quarter of global energy-related CO$_2$ emissions. Improving energy utilization and decreasing costs naturally requires considering multiple domain-specific performance criteria. The resulting problem is often computationally infeasible. The paper proposes an approach based on decomposition and selection of significant operating conditions to achieve a formulation with reduced computational complexity. We present a robust framework to optimise the physical design, the controller, and the operation of residential buildings in an integrated fashion, considering external weather conditions and time-varying electricity prices. The framework explicitly includes operational constraints and increases the utilization of the energy generated by intermittent resources. A case study illustrates the potential of co-design in enhancing the reliability, flexibility and self-sufficiency of a system operating under different conditions. Specifically, numerical results demonstrate reductions in costs up to $30$% compared to a deterministic formulation. Furthermore, the proposed approach achieves a computational time reduction of at least $10$ times lower compared to the original problem with a deterioration in the performance of only 0.6%. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_10446 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Robust co-design framework for buildings operated by predictive control Falugi, P. O'Dwyer, E. Zagorowska, M. A. Kerrigan, E. C. Nie, Y. Strbac, G. Shah, N. Systems and Control Cost-effective decarbonisation of the built environment is a stepping stone to achieving net-zero carbon emissions since buildings are globally responsible for more than a quarter of global energy-related CO$_2$ emissions. Improving energy utilization and decreasing costs naturally requires considering multiple domain-specific performance criteria. The resulting problem is often computationally infeasible. The paper proposes an approach based on decomposition and selection of significant operating conditions to achieve a formulation with reduced computational complexity. We present a robust framework to optimise the physical design, the controller, and the operation of residential buildings in an integrated fashion, considering external weather conditions and time-varying electricity prices. The framework explicitly includes operational constraints and increases the utilization of the energy generated by intermittent resources. A case study illustrates the potential of co-design in enhancing the reliability, flexibility and self-sufficiency of a system operating under different conditions. Specifically, numerical results demonstrate reductions in costs up to $30$% compared to a deterministic formulation. Furthermore, the proposed approach achieves a computational time reduction of at least $10$ times lower compared to the original problem with a deterioration in the performance of only 0.6%. |
| title | Robust co-design framework for buildings operated by predictive control |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2410.10446 |