Robust co-design framework for buildings operated by predictive control
Abstract
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 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 % compared to a deterministic formulation. Furthermore, the proposed approach achieves a computational time reduction of at least times lower compared to the original problem with a deterioration in the performance of only 0.6%.
Keywords
Cite
@article{arxiv.2410.10446,
title = {Robust co-design framework for buildings operated by predictive control},
author = {P. Falugi and E. O'Dwyer and M. A. Zagorowska and E. C. Kerrigan and Y. Nie and G. Strbac and N. Shah},
journal= {arXiv preprint arXiv:2410.10446},
year = {2024}
}