A modelling workflow for predictive control in residential buildings

E. O’Dwyer, E. Atam, P. Falugi, E. C. Kerrigan, M. A. Zagorowska, N. Shah

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationActive Building Energy Systems: Operation and Control
EditorsVahid Vahidinasab, Behnam Mohammadi-Ivatloo
PublisherSpringer
Pages99-128
Number of pages30
DOIs
Publication statusPublished - 2020
Externally publishedYes

Publication series

NameGreen Energy and Technology
ISSN (Print)1865-3529
ISSN (Electronic)1865-3537

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