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Climate change impacts on extreme energy consumption of office buildings in different climate zones of China

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Abstract

In this paper, 16 cities representing four major architectural climate zones of China were selected, and the heating and cooling loads of office building during the period of 1961–2017 were simulated by using TRNSYS software. Daily extreme heating and cooling loads were determined by percentile methods, and the climate change impact on extreme loads was analyzed. The results showed that the days of extreme heating load of office building significantly decreased in almost all the selected cities, whereas there were no significant changes in the days of extreme cooling load. The daily extreme heating load was dominantly affected by the temperature (R2 = 0.43–0.79), but the daily extreme cooling load was related to multiple climate factors, including temperature, relative humidity, and solar radiation. Single temperature can only explain 3–37% of the changes of daily extreme cooling load, and the combination of multiple climate factors can explain 58–85%. Importantly, the effect of temperature on extreme cooling load showed decrease from the cold to hot climate zones, but the impacts of relative humidity and solar radiation gradually increased. These results suggest that the maximum design capacity of heating systems can properly decrease, and the design capacity of cooling systems may not largely increase with the climate warming. In addition, the combined effect of multiple climate factors rather than the single temperature, as well as the different responses of extreme cooling energy consumption to climate change in different climate zones, should be considered when making measures for improving operating efficiency of air-conditioning system.

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Funding

This work was jointly supported by the National Key R&D Program of China (2018YFA0606302).

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Correspondence to Xiaoyi Fang.

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Li, M., Shi, J., Cao, J. et al. Climate change impacts on extreme energy consumption of office buildings in different climate zones of China. Theor Appl Climatol 140, 1291–1298 (2020). https://doi.org/10.1007/s00704-020-03167-7

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  • DOI: https://doi.org/10.1007/s00704-020-03167-7

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