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Architecture, Civil Engineering, Environment

Silesian University of Technology

Subject: Architecture, Civil Engineering, Engineering, Environmental


ISSN: 1899-0142





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VOLUME 10 , ISSUE 4 (December 2017) > List of articles



Keywords : Genetic algorithms, Optimization, Energy consumption, Building simulation, Window size

Citation Information : Architecture, Civil Engineering, Environment. Volume 10, Issue 4, Pages 133-140, DOI: https://doi.org/10.21307/acee-2017-057

License : (BY-NC-ND 4.0)

Published Online: 28-August-2018



Heat gains from the sun affect the heat balance of building by reducing the energy demand at certain periods of the year and increasing it at others. Windows, especially the type of glazing, are a determining factor in the successful use of solar gains. The aim of the research presented in the paper is to analyse the effects of the type and size of windows on annual heating and cooling energy consumption considering the energy costs in Polish climate conditions. Additionally the influence of building orientation has been analysed. Optimal selection of these parameters for reduction of the energy consumption has been carried out. Genetic algorithms were used for the optimization, while TRNSYS program was used for energy analysis. The analyses were performed on an exemplary single family detached house. Self-adaptive genetic algorithm connected with energy building simulation successfully identifies the lowest energy costs. Optimal window type and size design and window orientation reduce the energy costs. The developed comprehensive energy simulation environment can also be used to optimize other building’s parameters.

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