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Passive Optimization Design Based on Particle Swarm Optimization in Rural Buildings of the Hot Summer and Warm Winter Zone of China

Author

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  • Shilei Lu

    (School of Environment Science and Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China)

  • Ran Wang

    (School of Environment Science and Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China)

  • Shaoqun Zheng

    (School of Environment Science and Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China)

Abstract

The development of green building is an important way to solve the environmental problems of China’s construction industry. Energy conservation and energy utilization are important for the green building evaluation criteria (GBEC). The objective of this study is to evaluate the quantitative relationship between building shape parameter, envelope parameters, shading system, courtyard and the energy consumption (EC) as well as the impact on indoor thermal comfort of rural residential buildings in the hot summer and warm winter zone (HWWZ). Taking Quanzhou (Fujian Province of China) as an example, based on the field investigation, EnergyPlus is used to build the building performance model. In addition, the classical particle swarm optimization algorithm in GenOpt software is used to optimize the various factors affecting the EC. Single-objective optimization has provided guidance to the multi-dimensional optimization and regression analysis is used to find the effects of a single input variable on an output variable. Results shows that the energy saving rate of an optimized rural residence is about 26–30% corresponding to the existing rural residence. Moreover, the payback period is about 20 years. A simple case study is used to demonstrate the accuracy of the proposed optimization analysis. The optimization can be used to guide the design of new rural construction in the area and the energy saving transformation of the existing rural houses, which can help to achieve the purpose of energy saving and comfort.

Suggested Citation

  • Shilei Lu & Ran Wang & Shaoqun Zheng, 2017. "Passive Optimization Design Based on Particle Swarm Optimization in Rural Buildings of the Hot Summer and Warm Winter Zone of China," Sustainability, MDPI, vol. 9(12), pages 1-30, December.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2288-:d:122733
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    1. Mirrahimi, Seyedehzahra & Mohamed, Mohd Farid & Haw, Lim Chin & Ibrahim, Nik Lukman Nik & Yusoff, Wardah Fatimah Mohammad & Aflaki, Ardalan, 2016. "The effect of building envelope on the thermal comfort and energy saving for high-rise buildings in hot–humid climate," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1508-1519.
    2. Chen, Xi & Yang, Hongxing & Wang, Yuanhao, 2017. "Parametric study of passive design strategies for high-rise residential buildings in hot and humid climates: miscellaneous impact factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 442-460.
    3. Badescu, Viorel & Laaser, Nadine & Crutescu, Ruxandra & Crutescu, Marin & Dobrovicescu, Alexandru & Tsatsaronis, George, 2011. "Modeling, validation and time-dependent simulation of the first large passive building in Romania," Renewable Energy, Elsevier, vol. 36(1), pages 142-157.
    4. Mechri, Houcem Eddine & Capozzoli, Alfonso & Corrado, Vincenzo, 2010. "USE of the ANOVA approach for sensitive building energy design," Applied Energy, Elsevier, vol. 87(10), pages 3073-3083, October.
    5. Chen, Xi & Yang, Hongxing & Lu, Lin, 2015. "A comprehensive review on passive design approaches in green building rating tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1425-1436.
    6. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    7. Mavromatidis, Lazaros Elias & Marsault, Xavier & Lequay, Hervé, 2014. "Daylight factor estimation at an early design stage to reduce buildings' energy consumption due to artificial lighting: A numerical approach based on Doehlert and Box–Behnken designs," Energy, Elsevier, vol. 65(C), pages 488-502.
    8. Toja-Silva, Francisco & Lopez-Garcia, Oscar & Peralta, Carlos & Navarro, Jorge & Cruz, Ignacio, 2016. "An empirical–heuristic optimization of the building-roof geometry for urban wind energy exploitation on high-rise buildings," Applied Energy, Elsevier, vol. 164(C), pages 769-794.
    9. Badescu, Viorel & Laaser, Nadine & Crutescu, Ruxandra, 2010. "Warm season cooling requirements for passive buildings in Southeastern Europe (Romania)," Energy, Elsevier, vol. 35(8), pages 3284-3300.
    10. Andre Feliks Setiawan & Tzu-Ling Huang & Chun-Ta Tzeng & Chi-Ming Lai, 2015. "The Effects of Envelope Design Alternatives on the Energy Consumption of Residential Houses in Indonesia," Energies, MDPI, vol. 8(4), pages 1-15, April.
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    2. Yanqiu Cui & Ninghan Sun & Hongbin Cai & Simeng Li, 2020. "Indoor Temperature Improvement and Energy-Saving Renovations in Rural Houses of China’s Cold Region—A Case Study of Shandong Province," Energies, MDPI, vol. 13(4), pages 1-26, February.
    3. Yinan Li & Neng Zhu & Beibei Qin, 2019. "Target Setting Outlook for New Residential Building Energy Efficiency Promotion in China: A Frontline Perspective Using Delphi," Energies, MDPI, vol. 12(9), pages 1-29, April.
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    5. Zhaoxia Wang & Jing Zhao, 2018. "Optimization of Passive Envelop Energy Efficient Measures for Office Buildings in Different Climate Regions of China Based on Modified Sensitivity Analysis," Sustainability, MDPI, vol. 10(4), pages 1-28, March.

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