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Simulation-Based Multiobjective Optimization of Timber-Glass Residential Buildings in Severe Cold Regions

Author

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  • Yunsong Han

    (School of Architecture, Harbin Institute of Technology, Harbin 150001, China
    Heilongjiang Cold Region Architectural Science Key Laboratory, Harbin 150001, China)

  • Hong Yu

    (School of Architecture, Harbin Institute of Technology, Harbin 150001, China
    Heilongjiang Cold Region Architectural Science Key Laboratory, Harbin 150001, China)

  • Cheng Sun

    (School of Architecture, Harbin Institute of Technology, Harbin 150001, China
    Heilongjiang Cold Region Architectural Science Key Laboratory, Harbin 150001, China)

Abstract

In the current context of increasing energy demand, timber-glass buildings will become a necessary trend in sustainable architecture in the future. Especially in severe cold zones of China, energy consumption and the visual comfort of residential buildings have attracted wide attention, and there are always trade-offs between multiple objectives. This paper aims to propose a simulation-based multiobjective optimization method to improve the daylighting, energy efficiency, and economic performance of timber-glass buildings in severe cold regions. Timber-glass building form variables have been selected as the decision variables, including building width, roof height, south and north window-to-wall ratio (WWR), window height, and orientation. A simulation-based multiobjective optimization model has been developed to optimize these performance objectives simultaneously. The results show that Daylighting Autonomy (DA) presents negative correlations with Energy Use Intensity (EUI) and total cost. Additionally, with an increase in DA, Useful Daylighting Illuminance (UDI) demonstrates a tendency of primary increase and then decrease. Using this optimization model, four building performances have been improved from the initial generation to the final generation, which proves that simulation-based multiobjective optimization is a promising approach to improve the daylighting, energy efficiency, and economic performances of timber-glass buildings in severe cold regions.

Suggested Citation

  • Yunsong Han & Hong Yu & Cheng Sun, 2017. "Simulation-Based Multiobjective Optimization of Timber-Glass Residential Buildings in Severe Cold Regions," Sustainability, MDPI, vol. 9(12), pages 1-18, December.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2353-:d:123243
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    References listed on IDEAS

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    1. Yvan Dutil & Daniel Rousse & Guillermo Quesada, 2011. "Sustainable Buildings: An Ever Evolving Target," Sustainability, MDPI, vol. 3(2), pages 1-22, February.
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    3. Carlucci, Salvatore & Causone, Francesco & De Rosa, Francesco & Pagliano, Lorenzo, 2015. "A review of indices for assessing visual comfort with a view to their use in optimization processes to support building integrated design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 1016-1033.
    4. Galatioto, A. & Beccali, M., 2016. "Aspects and issues of daylighting assessment: A review study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 852-860.
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    Cited by:

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    2. Elena V. Korkina & Ekaterina V. Gorbarenko & Elena V. Voitovich & Matvey D. Tyulenev & Natalia I. Kozhukhova, 2023. "Temperature Evaluation of a Building Facade with a Thin Plaster Layer under Various Degrees of Cloudiness," Energies, MDPI, vol. 16(15), pages 1-11, August.
    3. Ling Dong & Hailong Zhou & Hongxian Li & Fei Liu & Hong Zhang & Mohamed Al-Hussein, 2018. "Climate Chamber Experiment-Based Thermal Analysis and Design Improvement of Traditional Huizhou Masonry Walls," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    4. 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.
    5. Radosław Winiczenko & Krzysztof Górnicki & Agnieszka Kaleta & Monika Janaszek-Mańkowska & Aneta Choińska & Jędrzej Trajer, 2018. "Apple Cubes Drying and Rehydration. Multiobjective Optimization of the Processes," Sustainability, MDPI, vol. 10(11), pages 1-12, November.

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