TY - CHAP
T1 - A modelling workflow for predictive control in residential buildings
AU - O’Dwyer, E.
AU - Atam, E.
AU - Falugi, P.
AU - Kerrigan, E. C.
AU - Zagorowska, M. A.
AU - Shah, N.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85130093630&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-79742-3_5
DO - 10.1007/978-3-030-79742-3_5
M3 - Chapter
T3 - Green Energy and Technology
SP - 99
EP - 128
BT - Active Building Energy Systems: Operation and Control
A2 - Vahidinasab, Vahid
A2 - Mohammadi-Ivatloo, Behnam
PB - Springer
ER -