Abstract
Under the background of energy crisis and environmental problems, building energy consumption accounts for a large proportion in energy consumption. With the development of economy in China, the proportion of building energy consumption will continue to increase, and the situation of building energy conservation is grim. At present, there are some problems in the process of building energy-saving design, such as the lack of integrated thinking in the design process, the lag of energy-saving design in the whole process of architectural design, etc. The development of information technology provides new methods and ideas for solving problems. In this paper, based on the previous research on integrated design of building energy efficiency, based on genetic algorithm, the integrated optimization design method of building energy conservation is studied.
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Acknowledgements
1. A Study on Indoor Thermal Environment of New Rural Residence in North Shaanxi under the Mode of Solar Energy Coupling Heating (51768073).
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Zheng, H., Yang, H. (2021). Evaluation Index of Algorithm Performance in Building Energy Saving Optimization Design. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Advances in Intelligent Systems and Computing, vol 1398. Springer, Cham. https://doi.org/10.1007/978-3-030-79200-8_146
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DOI: https://doi.org/10.1007/978-3-030-79200-8_146
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