The establishment and application of smart temperature and environment observation network in Kaohsiung (STONK)

碩士 === 國立成功大學 === 建築學系 === 107 === In order to understand the intensity of the heat island in Kaohsiung City,16 temperature and humidity measuring points were set up to collect one-year temperature data. The Ordinary Kriging (OK) method is used to calculate the temperature index map and analysis the...

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Main Authors: Szu-YuanChen, 陳思元
Other Authors: Tzu-Ping Lin
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/99ph6h
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spelling ndltd-TW-107NCKU52220232019-10-26T06:24:12Z http://ndltd.ncl.edu.tw/handle/99ph6h The establishment and application of smart temperature and environment observation network in Kaohsiung (STONK) 高雄都會區高密度環境溫度觀測網路(STONK)之建置及應用 Szu-YuanChen 陳思元 碩士 國立成功大學 建築學系 107 In order to understand the intensity of the heat island in Kaohsiung City,16 temperature and humidity measuring points were set up to collect one-year temperature data. The Ordinary Kriging (OK) method is used to calculate the temperature index map and analysis the urban heat island intensity. Moreover, the temperature estimation formula is generated through the regression model. With the rise of urban green energy and the Kaohsiung Green Building Project, the study uses LiDAR maps to analyze building roofs, creating urban solar panels and green roof potential maps, and calculates the power generation efficiency of solar energy lost through the distribution map under the effect of urban heat island. The result indicates that the maximum Urban Heat Island intensity in Kaohsiung City during the cool season was 9.3 °C, which indicate that the heat dissipation capacity is insufficient in urban area. For the power generation efficiency of urban solar panels, the temperature reduction factor in summer urban areas is -6.1%, while the solar energy in the lower temperature Shou Mountain area can increase the power generation efficiency by 0.7%. The increased greening area under the implementation of Kaohsiung's schemes has increased the overall greening ratio of the six administrative districts by 0.2%. In the future, if the green roof potential map is comprehensively set, the urban heat island of Kaohsiung City can be lowered by 1.5 °C. This study is based on the recommendations of the six major administrative regions for the Kaohsiung Solar Energy Planning. For solar power generation, it should focus on improving the green area on roofs and balconies to reduce urban temperature. Shou Mountain area is recommended to increase the installation of solar panel due to low temperature environment to achieve the best power generation efficiency. In order to avoid over-exploitation, the Zhongdu wetland and the Kaohsiung Art Museum will become another high-temperature hot spot in the city, in that case erecting solar panels, and appropriate greening should be carried out in the future. Tzu-Ping Lin 林子平 2019 學位論文 ; thesis 109 zh-TW
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description 碩士 === 國立成功大學 === 建築學系 === 107 === In order to understand the intensity of the heat island in Kaohsiung City,16 temperature and humidity measuring points were set up to collect one-year temperature data. The Ordinary Kriging (OK) method is used to calculate the temperature index map and analysis the urban heat island intensity. Moreover, the temperature estimation formula is generated through the regression model. With the rise of urban green energy and the Kaohsiung Green Building Project, the study uses LiDAR maps to analyze building roofs, creating urban solar panels and green roof potential maps, and calculates the power generation efficiency of solar energy lost through the distribution map under the effect of urban heat island. The result indicates that the maximum Urban Heat Island intensity in Kaohsiung City during the cool season was 9.3 °C, which indicate that the heat dissipation capacity is insufficient in urban area. For the power generation efficiency of urban solar panels, the temperature reduction factor in summer urban areas is -6.1%, while the solar energy in the lower temperature Shou Mountain area can increase the power generation efficiency by 0.7%. The increased greening area under the implementation of Kaohsiung's schemes has increased the overall greening ratio of the six administrative districts by 0.2%. In the future, if the green roof potential map is comprehensively set, the urban heat island of Kaohsiung City can be lowered by 1.5 °C. This study is based on the recommendations of the six major administrative regions for the Kaohsiung Solar Energy Planning. For solar power generation, it should focus on improving the green area on roofs and balconies to reduce urban temperature. Shou Mountain area is recommended to increase the installation of solar panel due to low temperature environment to achieve the best power generation efficiency. In order to avoid over-exploitation, the Zhongdu wetland and the Kaohsiung Art Museum will become another high-temperature hot spot in the city, in that case erecting solar panels, and appropriate greening should be carried out in the future.
author2 Tzu-Ping Lin
author_facet Tzu-Ping Lin
Szu-YuanChen
陳思元
author Szu-YuanChen
陳思元
spellingShingle Szu-YuanChen
陳思元
The establishment and application of smart temperature and environment observation network in Kaohsiung (STONK)
author_sort Szu-YuanChen
title The establishment and application of smart temperature and environment observation network in Kaohsiung (STONK)
title_short The establishment and application of smart temperature and environment observation network in Kaohsiung (STONK)
title_full The establishment and application of smart temperature and environment observation network in Kaohsiung (STONK)
title_fullStr The establishment and application of smart temperature and environment observation network in Kaohsiung (STONK)
title_full_unstemmed The establishment and application of smart temperature and environment observation network in Kaohsiung (STONK)
title_sort establishment and application of smart temperature and environment observation network in kaohsiung (stonk)
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/99ph6h
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