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Effects of a Green Space Layout on the Outdoor Thermal Environment at the Neighborhood Level

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  • Luis Ma. Bo-ot

    (Department of Architecture, National Cheng-Kung University, No. 1, University Road, Tainan City 701, Taiwan
    National Institute of Physics, University of the Philippines, Diliman, Quezon City 1101, Philippines
    College of Architecture, University of the Philippines, Diliman, Quezon City 1101, Philippines)

  • Yao-Hong Wang

    (Department of Civil Engineering, National Cheng Kung University, No. 1, University Road, Tainan City 701, Taiwan)

  • Che-Ming Chiang

    (Department of Architecture, National Cheng-Kung University, No. 1, University Road, Tainan City 701, Taiwan)

  • Chi-Ming Lai

    (Department of Civil Engineering, National Cheng Kung University, No. 1, University Road, Tainan City 701, Taiwan
    Research Center for Energy Technology and Strategy, National Cheng Kung University, No. 1, University Road, Tainan City 701, Taiwan)

Abstract

This study attempted to address the existing urban design needs and computer-aided thermal engineering and explore the optimal green space layout to obtain an acceptable thermal environment at the neighborhood scale through a series of building energy and computational fluid dynamics (CFD) simulations. The building-energy analysis software eQUEST and weather database TMY2 were adopted to analyze the electric energy consumed by air conditioners and the analysis results were incorporated to derive the heat dissipated from air conditioners. Then, the PHOENICS CFD software was used to analyze how the green space layout influences outdoor thermal environment based on the heat dissipated from air conditioners and the solar heat reemitted from the built surfaces. The results show that a green space located in the center of this investigated area and at the far side of the downstream of a summer monsoon is the recommended layout. The layouts, with green space in the center, can decrease the highest temperature by 0.36 °C.

Suggested Citation

  • Luis Ma. Bo-ot & Yao-Hong Wang & Che-Ming Chiang & Chi-Ming Lai, 2012. "Effects of a Green Space Layout on the Outdoor Thermal Environment at the Neighborhood Level," Energies, MDPI, vol. 5(10), pages 1-13, September.
  • Handle: RePEc:gam:jeners:v:5:y:2012:i:10:p:3723-3735:d:20301
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    References listed on IDEAS

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    1. Chi-Ming Lai & Yao-Hong Wang, 2011. "Energy-Saving Potential of Building Envelope Designs in Residential Houses in Taiwan," Energies, MDPI, vol. 4(11), pages 1-16, November.
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    Cited by:

    1. Mengyu Zhang & Woongkyoo Bae & Jeeyeop Kim, 2019. "The Effects of the Layouts of Vegetation and Wind Flow in an Apartment Housing Complex to Mitigate Outdoor Microclimate Air Temperature," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    2. Yucekaya, Murat & Uslu, Cengiz, 2020. "An analytical model proposal to design urban open spaces in balance with climate: A case study of Gaziantep," Land Use Policy, Elsevier, vol. 95(C).
    3. Liyixuan Fan & Jingmao Wang & Du Han & Jie Gao & Yingyu Yao, 2022. "Research on Promoting Carbon Sequestration of Urban Green Space Distribution Characteristics and Planting Design Models in Xi’an," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    4. Fan Fei & Yan Wang & Xiaoyun Jia, 2022. "Assessment of the Mechanisms of Summer Thermal Environment of Waterfront Space in China’s Cold Regions," Sustainability, MDPI, vol. 14(5), pages 1-23, February.
    5. Toparlar, Y. & Blocken, B. & Maiheu, B. & van Heijst, G.J.F., 2017. "A review on the CFD analysis of urban microclimate," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1613-1640.
    6. Fitsum Tariku & Afshin Gharib Mombeni, 2023. "ANN-Based Method for Urban Canopy Temperature Prediction and Building Energy Simulation with Urban Heat Island Effect in Consideration," Energies, MDPI, vol. 16(14), pages 1-23, July.
    7. Ren Zhou & Weimin Guo, 2023. "Research on Regional Architectural Design Method Based on GIS," Sustainability, MDPI, vol. 15(12), pages 1-28, June.

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