A modelling workflow for predictive control in residential buildings
File(s)
Accepted version
Author(s)
Type
Chapter
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.
Editor(s)
Doyle, Anthony
Date Issued
2021-08-03
Citation
Active Building Energy Systems, 2021, pp.99-128
ISBN
9783030797416
Publisher
Springer International Publishing
Start Page
99
End Page
128
Journal / Book Title
Active Building Energy Systems
Copyright Statement
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG. The final publication is available at Springer via https://doi.org/10.1007/978-3-030-79742-3_5
Identifier
https://link.springer.com/chapter/10.1007/978-3-030-79742-3_5
Publication Status
Published
Date Publish Online
2021-08-03