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Research Article

Automated processes of estimating the heating and cooling load for building envelope design optimization

Seongmi Kang1, Seok-gil Yong2, Jinho Kim3, Heungshin Jeon2, Hunhee Cho4, Junemo Koo2( )
 SHINSUNG Architect & Engineers Associate co., ltd, Chungcheongbuk-do, 28397, R.O. Korea
 Department of Mechanical Engineering, Kyung Hee University, Gyeonggi-do, 17104, R.O. Korea
 Department of Building Technology, Suwon Science College, Gyeonggi-do, 18516, R.O. Korea
 School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, 02841, R.O. Korea
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Abstract

An automated process is developed to perform dynamic energy simulations for several hundreds or thousands of the conditions required to examine the influence of dozens of building envelope design factor changes on the heating and cooling load of a building. The developed process was applied for 10-factor 128-treatment fractional factorial design, it was experimentally confirmed that the simulated preparation period, which took about 1 day to complete via manual operation, took about 10 min using the automated process; this represents a 400-fold increase in speed. It is shown that the processing time savings obtained with the automation process increase exponentially as the number of design factors considered increases. The regression equations between heating and cooling loads and design factors are analyzed with a multi-objective optimization algorithm to obtain the Pareto-front, which is a combination of optimal design factors that can be used to minimize the building heating and cooling loads and to provide building designers with viable alternatives by considering the building energy performance.

Keywords

optimizationdesign of experimentsbuilding envelopesimulation automationbuilding energy loadsdesign factors

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Building Simulation
Volume 11 Issue 2,
April 2018
Pages 219-233
DOI: 10.1007/s12273-017-0389-5
Cite this article:
Kang S, Yong S-g, Kim J, et al. Automated processes of estimating the heating and cooling load for building envelope design optimization. Building Simulation, 2018, 11(2): 219-233. https://doi.org/10.1007/s12273-017-0389-5

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Received: 17 January 2017
Revised: 06 June 2017
Accepted: 09 June 2017
Published: 19 July 2017
© Tsinghua University Press and Springer-Verlag GmbH Germany 2017
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