Energy performance assessment and optimization of extensive green roofs in different climate zones of China

There are many research and engineering projects on extensive green roofs, however, there is still no design guide for green roofs` climate energy efficiency, which limits the further promotion and usage of it, especially in China containing five climate zones. Taking different climate zones of Chin...

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Main Authors: Ran Jiandong, Yang Zhenjing, Feng Ya, Xiong Ke, Tang Mingfang
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_16003.pdf
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spelling doaj-3f7cab4e5ca844ebac21395fd60329a12021-04-02T10:32:04ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011721600310.1051/e3sconf/202017216003e3sconf_nsb2020_16003Energy performance assessment and optimization of extensive green roofs in different climate zones of ChinaRan Jiandong0Yang ZhenjingFeng YaXiong Ke1Tang MingfangSchool of Architecture and Urban Planning Chongqing UniversitySchool of Architecture and Urban Planning Chongqing UniversityThere are many research and engineering projects on extensive green roofs, however, there is still no design guide for green roofs` climate energy efficiency, which limits the further promotion and usage of it, especially in China containing five climate zones. Taking different climate zones of China as examples, the verified building model is used in the DesignBuilder software, and 2-4 typical cities in each climate zone are selected, then combined the genetic algorithm (GA-Ⅱ) to optimize the energy efficiency of the building under green roofs. The results show that in all the cities studied in the five climatic zones, extensive green roofs are more energy efficient than ordinary thermal insulation roofs, and the energy saving rate is between 1-26.4%; except for the Nenjiang, which the energy is mainly used for heating, the cooling energy consumption is reduced and the heating energy consumption is increased after the optimized green roof is adopted in other cities; it is also found that the energy saving rate of the green roof with optimization has a high correlation with the total annual solar radiation value of the city. In addition, the energy efficiency optimization of green roofs in all cities shows that a larger leaf area index is more conducive to energy conservation; however, in southern China, it is not recommended to use a thermal insulation layer in the roof structural layer below the soil.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_16003.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Ran Jiandong
Yang Zhenjing
Feng Ya
Xiong Ke
Tang Mingfang
spellingShingle Ran Jiandong
Yang Zhenjing
Feng Ya
Xiong Ke
Tang Mingfang
Energy performance assessment and optimization of extensive green roofs in different climate zones of China
E3S Web of Conferences
author_facet Ran Jiandong
Yang Zhenjing
Feng Ya
Xiong Ke
Tang Mingfang
author_sort Ran Jiandong
title Energy performance assessment and optimization of extensive green roofs in different climate zones of China
title_short Energy performance assessment and optimization of extensive green roofs in different climate zones of China
title_full Energy performance assessment and optimization of extensive green roofs in different climate zones of China
title_fullStr Energy performance assessment and optimization of extensive green roofs in different climate zones of China
title_full_unstemmed Energy performance assessment and optimization of extensive green roofs in different climate zones of China
title_sort energy performance assessment and optimization of extensive green roofs in different climate zones of china
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description There are many research and engineering projects on extensive green roofs, however, there is still no design guide for green roofs` climate energy efficiency, which limits the further promotion and usage of it, especially in China containing five climate zones. Taking different climate zones of China as examples, the verified building model is used in the DesignBuilder software, and 2-4 typical cities in each climate zone are selected, then combined the genetic algorithm (GA-Ⅱ) to optimize the energy efficiency of the building under green roofs. The results show that in all the cities studied in the five climatic zones, extensive green roofs are more energy efficient than ordinary thermal insulation roofs, and the energy saving rate is between 1-26.4%; except for the Nenjiang, which the energy is mainly used for heating, the cooling energy consumption is reduced and the heating energy consumption is increased after the optimized green roof is adopted in other cities; it is also found that the energy saving rate of the green roof with optimization has a high correlation with the total annual solar radiation value of the city. In addition, the energy efficiency optimization of green roofs in all cities shows that a larger leaf area index is more conducive to energy conservation; however, in southern China, it is not recommended to use a thermal insulation layer in the roof structural layer below the soil.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_16003.pdf
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