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Optimum design of a house and its HVAC systems using simulation-based optimisation

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  • Mohamed Hamdy
  • Ala Hasan
  • Kai Siren

Abstract

This paper deals with a multi-objective optimisation problem where the objective is to minimise CO 2 -eq emissions and investment cost of a multi-zone single-family house and its heating/cooling systems. Eight design variables are subjected to study: level of building tightness, insulation thickness of the external wall, floor and roof, type of window glazing, window shading, heat recovery and heating/cooling systems. Simulation-based optimisation is implemented to minimise the objective functions by finding optimum values of the design variables. This is done by combining the dynamic building performance simulation program IDA-ICE 3.0 with a modified genetic algorithm. The optimisation results give the optimal solutions for the problem in the form of a Pareto front, showing the trade-off between the two objectives. The obtained solutions are much better than the initial designs of the house in terms of lower CO 2 -eq emissions and investment cost. It is noted from the obtained results that the significance of the heating system is higher than the other design variables so that the optimal solutions can be classified according to the type of the heating system. It is also noted that there is a need to include a thermal comfort criterion as a problem constraint to limit overheating hours during summer. Copyright The Author 2010. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org, Oxford University Press.

Suggested Citation

  • Mohamed Hamdy & Ala Hasan & Kai Siren, 2010. "Optimum design of a house and its HVAC systems using simulation-based optimisation," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 5(3), pages 120-124, March.
    • Handle: RePEc:oup:ijlctc:v:5:y:2010:i:3:p:120-124
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctq010
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    Cited by:

    1. Sha, Huajing & Xu, Peng & Yang, Zhiwei & Chen, Yongbao & Tang, Jixu, 2019. "Overview of computational intelligence for building energy system design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 76-90.
    2. Mohamed Hamdy & Gerardo Maria Mauro, 2017. "Multi-Objective Optimization of Building Energy Design to Reconcile Collective and Private Perspectives: CO 2 -eq vs. Discounted Payback Time," Energies, MDPI, vol. 10(7), pages 1-26, July.
    3. Mohamed, Ayman & Hasan, Ala & Sirén, Kai, 2014. "Fulfillment of net-zero energy building (NZEB) with four metrics in a single family house with different heating alternatives," Applied Energy, Elsevier, vol. 114(C), pages 385-399.

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