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Heuristic vs . Meta-Heuristic Optimal Energy Design for an Office Building

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  • Won-Jun Suh

    (School of Civil, Architectural Engineering and Landscape Architecture, Sungkyunkwan University, Suwon, Gyeonggi 440-746, Korea)

  • Cheol-Soo Park

    (School of Civil, Architectural Engineering and Landscape Architecture, Sungkyunkwan University, Suwon, Gyeonggi 440-746, Korea)

Abstract

In this paper, an application of heuristic vs. meta-heuristic approaches to the design of an office building is presented. The building was first optimized by a heuristic approach based on the designers’ expertise, prior experiences and intuitions with the use of a whole building simulation tool, EnergyPlus. Then, a meta-heuristic approach was completed in MATLAB platform where EnergyPlus and Genetic Algorithm (GA) were coupled. M-script files were developed to automate execution of EnergyPlus simulation runs (reading output files and overwriting input files of EnergyPlus) in integration to GA. Based on a comparison between the heuristic and the meta-heuristic approach, it is shown that GA performs much better in finding a global optimum even under a constrained search space than the heuristic approach. The heuristic approach has advantages, such as reflection of a design context in decision-making and fast communication between stakeholders.

Suggested Citation

  • Won-Jun Suh & Cheol-Soo Park, 2017. "Heuristic vs . Meta-Heuristic Optimal Energy Design for an Office Building," Sustainability, MDPI, vol. 9(4), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:4:p:508-:d:94215
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    References listed on IDEAS

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    2. Yao, Jian, 2012. "Energy optimization of building design for different housing units in apartment buildings," Applied Energy, Elsevier, vol. 94(C), pages 330-337.
    3. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
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