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Building Energy Saving for Indoor Cooling and Heating: Mechanism and Comparison on Temperature Difference

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  • Jianwu Xiong

    (School of Architecture, Southwest Minzu University, Chengdu 610225, China)

  • Linlin Chen

    (School of Architecture, Southwest Minzu University, Chengdu 610225, China)

  • Yin Zhang

    (School of Architecture, Southwest Minzu University, Chengdu 610225, China)

Abstract

Reducing the heat transfer temperature difference via reasonable indoor temperature determination and air conditioning system design is a confirmed building energy-saving approach for space cooling and heating. However, the energy-saving mechanism cannot be explained scientifically and comprehensively while maintaining the cognitive level of the heat transfer law. In this paper, based on the same climatic conditions and decreasing range of indoor and outdoor temperature difference, the yearly and monthly absolute energy-saving amount (ESA) and relative energy-saving ratio (ESR) are investigated and compared for cooling and heating, respectively, to reveal the energy-saving mechanism for cooling and heating from the microscopic perspective. Two new concepts, including ESA by temperature difference and behavioral ESA by measure itself, are defined. The yearly ESA for cooling or heating caused by the decreasing of temperature difference is composed of those two factors. For cooling, the contribution rate of the behavioral ESA at those moments within the decreasing range of the temperature difference can be up to 78%, while for heating is only 7%. This work can provide theoretical support for building energy system design optimization and method reference for energy-saving analysis of building air conditioning systems with temperature difference considerations for cooling and heating, respectively.

Suggested Citation

  • Jianwu Xiong & Linlin Chen & Yin Zhang, 2023. "Building Energy Saving for Indoor Cooling and Heating: Mechanism and Comparison on Temperature Difference," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11241-:d:1197376
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    References listed on IDEAS

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    1. Ghahramani, Ali & Zhang, Kenan & Dutta, Kanu & Yang, Zheng & Becerik-Gerber, Burcin, 2016. "Energy savings from temperature setpoints and deadband: Quantifying the influence of building and system properties on savings," Applied Energy, Elsevier, vol. 165(C), pages 930-942.
    2. Gao, Hao & Koch, Christian & Wu, Yupeng, 2019. "Building information modelling based building energy modelling: A review," Applied Energy, Elsevier, vol. 238(C), pages 320-343.
    3. Gebrail Bekdaş & Yaren Aydın & Ümit Isıkdağ & Aidin Nobahar Sadeghifam & Sanghun Kim & Zong Woo Geem, 2023. "Prediction of Cooling Load of Tropical Buildings with Machine Learning," Sustainability, MDPI, vol. 15(11), pages 1-17, June.
    4. Yingyue Li & Hongjun Li & Rui Miao & He Qi & Yi Zhang, 2023. "Energy–Environment–Economy (3E) Analysis of the Performance of Introducing Photovoltaic and Energy Storage Systems into Residential Buildings: A Case Study in Shenzhen, China," Sustainability, MDPI, vol. 15(11), pages 1-25, June.
    5. Park, Young Sung & Jeong, Ji Hwan & Ahn, Byoung Ha, 2014. "Heat pump control method based on direct measurement of evaporation pressure to improve energy efficiency and indoor air temperature stability at a low cooling load condition," Applied Energy, Elsevier, vol. 132(C), pages 99-107.
    6. Yan, Huaxia & Xia, Yudong & Deng, Shiming, 2017. "Simulation study on a three-evaporator air conditioning system for simultaneous indoor air temperature and humidity control," Applied Energy, Elsevier, vol. 207(C), pages 294-304.
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