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Sustainability 2017, 9(4), 508; doi:10.3390/su9040508

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
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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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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. View Full-Text
Keywords: heuristics; meta-heuristics; energyplus; genetic algorithm; building energy heuristics; meta-heuristics; energyplus; genetic algorithm; building energy
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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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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