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Potential benefits and optimization of cool-coated office buildings: A case study in Chongqing, China

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  • Zhuang, Chaoqun
  • Gao, Yafeng
  • Zhao, Yingru
  • Levinson, Ronnen
  • Heiselberg, Per
  • Wang, Zhiqiang
  • Guo, Rui

Abstract

Increasing envelope facet albedos considerably reduces solar heat gain, thus yielding building cooling energy savings. Few studies have explored the potential benefits of utilizing cool coatings on building envelopes (“cool-coated buildings”) based on life-cycle cost analysis. A holistic approach integrating the field testing, building energy simulation, and a 20-year life-cycle-based optimization was developed to explore cool-coated building performance and the maximum net savings of optimal building envelope retrofit and design. Experimental results showed that applying cool coatings to a west wall of an office building in Chongqing, China reduced its exterior surface temperature by up to 9.3 °C in summer. Simulation results showed that in Chongqing, making the roof and walls cool could reduce annual HVAC electricity use by up to 11.9% in old buildings (with poorly insulated envelopes) and up to 5.9% in new buildings. Retrofitting old buildings with a cool roof provided the net savings per modified area with present values up to 42.8 CNY/m2; retrofitting a new building with a cool roof or cool walls was not cost-effective. Optimizing both envelope insulation and envelope albedo can achieve 5.6 times the net savings of optimizing the insulation only, and 1.6 times that of optimizing albedo only.

Suggested Citation

  • Zhuang, Chaoqun & Gao, Yafeng & Zhao, Yingru & Levinson, Ronnen & Heiselberg, Per & Wang, Zhiqiang & Guo, Rui, 2021. "Potential benefits and optimization of cool-coated office buildings: A case study in Chongqing, China," Energy, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:energy:v:226:y:2021:i:c:s0360544221006228
    DOI: 10.1016/j.energy.2021.120373
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    Cited by:

    1. Li, Wenqiang & Gong, Guangcai & Ren, Zhongjun & Ouyang, Qianwu & Peng, Pei & Chun, Liang & Fang, Xi, 2022. "A method for energy consumption optimization of air conditioning systems based on load prediction and energy flexibility," Energy, Elsevier, vol. 243(C).
    2. Wang, Haitao & Wei, Jiahua & Guo, Chengzhou & Yang, Liu & Wang, Zuyuan, 2024. "Numerical investigation of the effects of different influencing factors on thermal performance of naturally ventilated roof," Energy, Elsevier, vol. 289(C).
    3. Guo, Rui & Hu, Yue & Heiselberg, Per & Johra, Hicham & Zhang, Chen & Peng, Pei, 2021. "Simulation and optimization of night cooling with diffuse ceiling ventilation and mixing ventilation in a cold climate," Renewable Energy, Elsevier, vol. 179(C), pages 488-501.
    4. Zheng, Zhihang & Xiao, Jian & Yang, Ying & Xu, Feng & Zhou, Jin & Liu, Hongcheng, 2024. "Optimization of exterior wall insulation in office buildings based on wall orientation: Economic, energy and carbon saving potential in China," Energy, Elsevier, vol. 290(C).
    5. Xu, Fusuo & Zhang, Jianshun & Gao, Zhi, 2024. "A case study of the effect of building surface cool and super cool materials on residential neighbourhood energy consumption in Nanjing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).

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