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Active Building Energy Systems pp 99–128Cite as

A Modelling Workflow for Predictive Control in Residential Buildings

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Part of the book series: Green Energy and Technology ((GREEN))

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.

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Acknowledgements

This work has received funding from the EPSRC (Engineering and Physical Sciences) under the Active Building Centre project (reference number: EP/V012053/1).

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Authors and Affiliations

  1. Department of Chemical Engineering, Imperial College London, London, UK

    E. O’Dwyer & N. Shah

  2. Department of Electrical and Electronic Engineering, Imperial College London, London, UK

    E. Atam, P. Falugi & M. A. Zagorowska

  3. Department of Electrical and Electronic Engineering, Imperial College London, London, UK

    E. C. Kerrigan

  4. Department of Aeronautics, Imperial College London, London, UK

    E. C. Kerrigan

Authors
  1. E. O’Dwyer
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  2. E. Atam
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  3. P. Falugi
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  4. E. C. Kerrigan
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  5. M. A. Zagorowska
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  6. N. Shah
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Corresponding author

Correspondence to E. O’Dwyer .

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Editors and Affiliations

  1. Department of Engineering, School of Science and Technology Nottingham Trent University, Nottingham, UK

    Vahid Vahidinasab

  2. Department of Electrical and Electronics Engineering, Muğla Sıtkı Koçman University, Muğla, Turkey

    Behnam Mohammadi-Ivatloo

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O’Dwyer, E., Atam, E., Falugi, P., Kerrigan, E.C., Zagorowska, M.A., Shah, N. (2022). A Modelling Workflow for Predictive Control in Residential Buildings. In: Vahidinasab, V., Mohammadi-Ivatloo, B. (eds) Active Building Energy Systems. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-79742-3_5

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  • DOI: https://doi.org/10.1007/978-3-030-79742-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79741-6

  • Online ISBN: 978-3-030-79742-3

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