A Modelling Workflow for Predictive Control in Residential Buildings

Book chapter


O’Dwyer, E., Atam, E., Falugi, P., Kerrigan, E. C., Zagorowska, M. A. and Shah, N. 2022. A Modelling Workflow for Predictive Control in Residential Buildings. in: Vahidinasab, V. and Mohammadi-Ivatloo, B. (ed.) Active Building Energy Systems: Operation and Control Springer, Cham. pp. 99-128
AuthorsO’Dwyer, E., Atam, E., Falugi, P., Kerrigan, E. C., Zagorowska, M. A. and Shah, N.
EditorsVahidinasab, V. and Mohammadi-Ivatloo, B.
Abstract

Despite a large body of research, the widespread application of Model Predictive Control (MPC) to residential buildings has yet to be realised. The modelling challenge is often cited as a significant obstacle. This chapter establishes a systematic workflow, from detailed simulation model development to control-oriented model generation to act as a guide for practitioners in the residential sector. The workflow begins with physics-based modelling methods for analysis and evaluation. Following this, model-based and data-driven techniques for developing low-complexity, control-oriented models are outlined. Through sections detailing these different stages, a case study is constructed, concluding with a final section in which MPC strategies based on the proposed methods are evaluated, with a price-aware formulation producing a reduction in operational space-heating cost of 11%. The combination of simulation model development, control design and analysis in a single workflow can encourage a more rapid uptake of MPC in the sector.

Book titleActive Building Energy Systems: Operation and Control
Page range99-128
Year2022
PublisherSpringer, Cham
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_5
Web address (URL)https://link.springer.com/book/10.1007/978-3-030-79742-3
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