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A review of occupant-centric building control strategies to reduce building energy use

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  • Naylor, Sophie
  • Gillott, Mark
  • Lau, Tom

Abstract

Building Energy Management is identified as a key part of the move towards localised energy generation and control. The significant discrepancy between building energy use as designed and during actual operation shows a need to evaluate the relationship between building occupants and energy requirements. The need to better account for the influence of occupants on building energy use has been established through post-occupancy studies, highlighting the characteristics needed for more successful building control systems. This paper provides an overview of current building control systems technology and discusses existing academic research into more advanced occupant-centric controls. The potential for application of various methods is compared. It is found that study into occupant-centred control systems covers a wide array of approaches, ranging from simple presence-based switching of lighting systems to full model predictive control. Studies suggest an optimum point balancing the complexity of a system against its potential for saving energy.

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  • Naylor, Sophie & Gillott, Mark & Lau, Tom, 2018. "A review of occupant-centric building control strategies to reduce building energy use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 1-10.
    • Handle: RePEc:eee:rensus:v:96:y:2018:i:c:p:1-10
    DOI: 10.1016/j.rser.2018.07.019
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    References listed on IDEAS

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    1. Catalina Spataru & Mark Gillott & Matthew R. Hall, 2010. "Domestic energy and occupancy: a novel post-occupancy evaluation study," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 5(3), pages 148-157, May.
    2. Menezes, Anna Carolina & Cripps, Andrew & Bouchlaghem, Dino & Buswell, Richard, 2012. "Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap," Applied Energy, Elsevier, vol. 97(C), pages 355-364.
    3. Oldewurtel, Frauke & Sturzenegger, David & Morari, Manfred, 2013. "Importance of occupancy information for building climate control," Applied Energy, Elsevier, vol. 101(C), pages 521-532.
    4. Goyal, Siddharth & Ingley, Herbert A. & Barooah, Prabir, 2013. "Occupancy-based zone-climate control for energy-efficient buildings: Complexity vs. performance," Applied Energy, Elsevier, vol. 106(C), pages 209-221.
    5. Lowe, Robert & Oreszczyn, Tadj, 2008. "Regulatory standards and barriers to improved performance for housing," Energy Policy, Elsevier, vol. 36(12), pages 4475-4481, December.
    6. Shaikh, Pervez Hameed & Nor, Nursyarizal Bin Mohd & Nallagownden, Perumal & Elamvazuthi, Irraivan & Ibrahim, Taib, 2014. "A review on optimized control systems for building energy and comfort management of smart sustainable buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 409-429.
    7. Whiffen, T.R. & Naylor, S. & Hill, J. & Smith, L. & Callan, P.A. & Gillott, M. & Wood, C.J. & Riffat, S.B., 2016. "A concept review of power line communication in building energy management systems for the small to medium sized non-domestic built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 618-633.
    8. Eguaras-Martínez, María & Vidaurre-Arbizu, Marina & Martín-Gómez, César, 2014. "Simulation and evaluation of Building Information Modeling in a real pilot site," Applied Energy, Elsevier, vol. 114(C), pages 475-484.
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