Research on a visual thermal landscape model of underground space based on the spatial interpolation method—A case study in Shanghai
It is very significant to comprehensively understand the variation and distribution of the underground thermal environment, which will help to increase the building energy efficiency and improve the users’ thermal comfort. Because of these requirements, spatial interpolation technology provided by S...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722006485 |
| _version_ | 1797989079190601728 |
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| author | Zhuoyu Yu Dexuan Song Yifan Song Siu-Kit Lau Shanshan Han |
| author_facet | Zhuoyu Yu Dexuan Song Yifan Song Siu-Kit Lau Shanshan Han |
| author_sort | Zhuoyu Yu |
| collection | DOAJ |
| description | It is very significant to comprehensively understand the variation and distribution of the underground thermal environment, which will help to increase the building energy efficiency and improve the users’ thermal comfort. Because of these requirements, spatial interpolation technology provided by Surfer software is used to visualize the physical data of the spatial thermal environment and diagram the spatio-temporal thermal landscape model of underground space. According to the thermal landscape model, a new environmental control scheme is proposed. An underground shopping mall in Shanghai is taken as an example, in which 1512 data points were measured for interpolation. By comparison, it is found that the inverse distance to a power interpolation has the highest accuracy among the four commonly used interpolation methods, with an error of 0.57 °C. Therefore, the inverse distance to a power was used to build the spatio-temporal thermal landscape model of underground space based on measured data. This model can reduce the energy consumption of public space heating from 17885.75 kWh to 11536.18 kWh in December, saving 35.5% of energy consumption. In addition, the optimizing strategy was given from 3 aspects: seating arrangement, shading system and entrance design. The thermal landscape model provides practical solutions for research and design practice, which are recommended with direct implications on user comfort and energy consumption. |
| first_indexed | 2024-04-11T08:14:33Z |
| format | Article |
| id | doaj.art-296e4f2a8bfc4d728f41c08c9bb253f4 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-11T08:14:33Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-296e4f2a8bfc4d728f41c08c9bb253f42022-12-22T04:35:14ZengElsevierEnergy Reports2352-48472022-09-018406418Research on a visual thermal landscape model of underground space based on the spatial interpolation method—A case study in ShanghaiZhuoyu Yu0Dexuan Song1Yifan Song2Siu-Kit Lau3Shanshan Han4College of Architecture and Urban Planning, Tongji University, Shanghai, China; Ministry of Education Key Laboratory of Ecology and Energy Saving Study of Dense Habitat (Tongji University), Shanghai, ChinaCollege of Architecture and Urban Planning, Tongji University, Shanghai, China; Ministry of Education Key Laboratory of Ecology and Energy Saving Study of Dense Habitat (Tongji University), Shanghai, ChinaCollege of Design and Engineering, National University of Singapore, Singapore; Correspondence to: Department of Architecture, College of Design and Engineering, National University of Singapore, 4 Architecture Drive, Singapore 117566, SingaporeCollege of Design and Engineering, National University of Singapore, SingaporeCollege of Architecture and Urban Planning, Tongji University, Shanghai, China; Ministry of Education Key Laboratory of Ecology and Energy Saving Study of Dense Habitat (Tongji University), Shanghai, ChinaIt is very significant to comprehensively understand the variation and distribution of the underground thermal environment, which will help to increase the building energy efficiency and improve the users’ thermal comfort. Because of these requirements, spatial interpolation technology provided by Surfer software is used to visualize the physical data of the spatial thermal environment and diagram the spatio-temporal thermal landscape model of underground space. According to the thermal landscape model, a new environmental control scheme is proposed. An underground shopping mall in Shanghai is taken as an example, in which 1512 data points were measured for interpolation. By comparison, it is found that the inverse distance to a power interpolation has the highest accuracy among the four commonly used interpolation methods, with an error of 0.57 °C. Therefore, the inverse distance to a power was used to build the spatio-temporal thermal landscape model of underground space based on measured data. This model can reduce the energy consumption of public space heating from 17885.75 kWh to 11536.18 kWh in December, saving 35.5% of energy consumption. In addition, the optimizing strategy was given from 3 aspects: seating arrangement, shading system and entrance design. The thermal landscape model provides practical solutions for research and design practice, which are recommended with direct implications on user comfort and energy consumption.http://www.sciencedirect.com/science/article/pii/S2352484722006485Underground spaceThermal landscape modelVisualization of thermal environmentInverse distance to a power method |
| spellingShingle | Zhuoyu Yu Dexuan Song Yifan Song Siu-Kit Lau Shanshan Han Research on a visual thermal landscape model of underground space based on the spatial interpolation method—A case study in Shanghai Energy Reports Underground space Thermal landscape model Visualization of thermal environment Inverse distance to a power method |
| title | Research on a visual thermal landscape model of underground space based on the spatial interpolation method—A case study in Shanghai |
| title_full | Research on a visual thermal landscape model of underground space based on the spatial interpolation method—A case study in Shanghai |
| title_fullStr | Research on a visual thermal landscape model of underground space based on the spatial interpolation method—A case study in Shanghai |
| title_full_unstemmed | Research on a visual thermal landscape model of underground space based on the spatial interpolation method—A case study in Shanghai |
| title_short | Research on a visual thermal landscape model of underground space based on the spatial interpolation method—A case study in Shanghai |
| title_sort | research on a visual thermal landscape model of underground space based on the spatial interpolation method a case study in shanghai |
| topic | Underground space Thermal landscape model Visualization of thermal environment Inverse distance to a power method |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722006485 |
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