MPC and Optimal Design of Residential Buildings with Seasonal Storage: A Case Study

Book chapter


Falugi, P., O’Dwyer, E., Zagorowska, M. A., Atam, E., Kerrigan, E. C., Strbac, G. and Shah, N. 2022. MPC and Optimal Design of Residential Buildings with Seasonal Storage: A Case Study. in: Vahidinasab, V. and Mohammadi-Ivatloo, B. (ed.) Active Building Energy Systems: Operation and Control Springer, Cham. pp. 129-160
AuthorsFalugi, P., O’Dwyer, E., Zagorowska, M. A., Atam, E., Kerrigan, E. C., Strbac, G. and Shah, N.
EditorsVahidinasab, V. and Mohammadi-Ivatloo, B.
Abstract

Residential buildings account for about a quarter of the global energy use. As such, residential buildings can play a vital role in achieving net-zero carbon emissions through efficient use of energy and balance of intermittent renewable generation. This chapter presents a co-design framework for simultaneous optimisation of the design and operation of residential buildings using Model Predictive Control (MPC). The adopted optimality criterion maximises cost savings under time-varying electricity prices. By formulating the co-design problem using model predictive control, we then show a way to exploit the use of seasonal storage elements operating on a yearly timescale. A case study illustrates the potential of co-design in enhancing flexibility and self-sufficiency of a system operating on multiple timescales. In particular, numerical results from a low-fidelity model report approximately doubled bill savings and carbon emission reduction compared to the a priori sizing approach.

Book titleActive Building Energy Systems: Operation and Control
Page range129-160
Year2022
PublisherSpringer, Cham
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License
File Access Level
Registered users only
Publication dates
Online03 Aug 2021
Print07 May 2022
Publication process dates
Deposited04 Jul 2023
Edition1st
SeriesGreen Energy and Technology
ISBN9783030797416
9783030797423
ISSN1865-3529
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-79742-3_6
Web address (URL)https://link.springer.com/book/10.1007/978-3-030-79742-3
Copyright holder© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG
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