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Application of a High-Density Temperature Measurement System for the Management of the Kaohsiung House Project

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  • Chien-Chiao Chao

    (College of Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 82445, Taiwan
    Kaohsiung City Government, Kaohsiung 80027, Taiwan)

  • Kuo-An Hung

    (Department of Architecture, National Cheng Kung University, Tainan 70101, Taiwan)

  • Szu-Yuan Chen

    (Department of Architecture, National Cheng Kung University, Tainan 70101, Taiwan)

  • Feng-Yi Lin

    (Green Energy and Environment Research Laboratories, Industrial Technology Research Institute, Hsinchu 31057, Taiwan)

  • Tzu-Ping Lin

    (Department of Architecture, National Cheng Kung University, Tainan 70101, Taiwan)

Abstract

In Taiwan, the daytime temperature usually exceeds 37 °C in summer, and the increase in air-conditioning usage has led to higher energy demand, which brings a heavy burden to power plants. The Kaohsiung House Project, undertaken by the city government, encourages the installation of greening facilities in buildings, such as photovoltaic (PV) panels on rooftops and vertical gardens on balconies, in order to preserve energy and reduce carbon emissions. In the present study, the urban heat island effect and temperature distribution within the city was examined through the establishment of 16 temperature measurement sites within a 7.5 km × 6 km area. A between-site temperature difference of 2 °C was observed between April and August. Areas with higher temperature are recommended to increase their green space ratio through the project. Moreover, relocating PV panels in low-temperature areas increased the overall generation efficiency by 0.8%. Through the analysis of the measured data, this study determined which areas were more appropriate for green space expansion, and which would best serve for green energy generation, all with the aim of improving external environmental comfort and maximizing carbon reduction. Recommendations regarding the implementation of subsequent policies were issued and they provide reference for implementation in other cities.

Suggested Citation

  • Chien-Chiao Chao & Kuo-An Hung & Szu-Yuan Chen & Feng-Yi Lin & Tzu-Ping Lin, 2021. "Application of a High-Density Temperature Measurement System for the Management of the Kaohsiung House Project," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:960-:d:482744
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    References listed on IDEAS

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    1. Miguel Núñez-Peiró & Anna Mavrogianni & Phil Symonds & Carmen Sánchez-Guevara Sánchez & F. Javier Neila González, 2021. "Modelling Long-Term Urban Temperatures with Less Training Data: A Comparative Study Using Neural Networks in the City of Madrid," Sustainability, MDPI, vol. 13(15), pages 1-23, July.

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