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Sustainability 2017, 9(4), 508;

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

School of Civil, Architectural Engineering and Landscape Architecture, Sungkyunkwan University, Suwon, Gyeonggi 440-746, Korea
Author to whom correspondence should be addressed.
Academic Editor: Vladimir Strezov
Received: 29 December 2016 / Revised: 22 March 2017 / Accepted: 23 March 2017 / Published: 27 March 2017
(This article belongs to the Section Sustainable Engineering and Science)
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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. View Full-Text
Keywords: heuristics; meta-heuristics; energyplus; genetic algorithm; building energy heuristics; meta-heuristics; energyplus; genetic algorithm; building energy

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Suh, W.-J.; Park, C.-S. Heuristic vs. Meta-Heuristic Optimal Energy Design for an Office Building. Sustainability 2017, 9, 508.

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