GIScience can facilitate the development of solar cities for energy transition
The energy transition is increasingly being discussed and implemented to cope with the growing environmental crisis. However, great challenges remain for effectively harvesting and utilizing solar energy in cities related to time and location-dependant supply and demand, which needs more accurate fo...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Advances in Applied Energy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666792423000082 |
| _version_ | 1797807161282134016 |
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| author | Rui Zhu Mei-Po Kwan A.T.D. Perera Hongchao Fan Bisheng Yang Biyu Chen Min Chen Zhen Qian Haoran Zhang Xiaohu Zhang Jinxin Yang Paolo Santi Carlo Ratti Wenting Li Jinyue Yan |
| author_facet | Rui Zhu Mei-Po Kwan A.T.D. Perera Hongchao Fan Bisheng Yang Biyu Chen Min Chen Zhen Qian Haoran Zhang Xiaohu Zhang Jinxin Yang Paolo Santi Carlo Ratti Wenting Li Jinyue Yan |
| author_sort | Rui Zhu |
| collection | DOAJ |
| description | The energy transition is increasingly being discussed and implemented to cope with the growing environmental crisis. However, great challenges remain for effectively harvesting and utilizing solar energy in cities related to time and location-dependant supply and demand, which needs more accurate forecasting- and an in-depth understanding of the electricity production and dynamic balancing of the flexible energy supplies concerning the electricity market. To tackle this problem, this article discusses the development of solar cities over the past few decades and proposes a refined and enriched concept of a sustainable solar city with six integrated modules, namely, land surface solar irradiation, three-dimensional (3D) urban surfaces, spatiotemporal solar distribution on 3D urban surfaces, solar photovoltaic (PV) planning, solar PV penetration into different urban systems, and the consequent socio-economic and environmental impacts. In this context, Geographical Information Science (GIScience) demonstrates its potent capability in building the conceptualized solar city with a dynamic balance between power supply and demand over time and space, which includes the production of multi-sourced spatiotemporal big data, the development of spatiotemporal data modelling, analysing and optimization, and geo-visualization. To facilitate the development of such a solar city, this article from the GIScience perspective discusses the achievements and challenges of (i) the development of spatiotemporal big data used for solar farming, (ii) the estimation of solar PV potential on 3D urban surfaces, (iii) the penetration of distributed PV systems in digital cities that contains the effects of urban morphology on solar accessibility, optimization of PV systems for dynamic balancing between supply and demand, and PV penetration represented by the solar charging of urban mobility, and (iv) the interaction between PV systems and urban thermal environment. We suggest that GIScience is the foundation, while further development of GIS models is required to achieve the proposed sustainable solar city. |
| first_indexed | 2024-03-13T06:18:24Z |
| format | Article |
| id | doaj.art-271b23516e3246419f52fc8d2676b6ba |
| institution | Directory Open Access Journal |
| issn | 2666-7924 |
| language | English |
| last_indexed | 2024-03-13T06:18:24Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Advances in Applied Energy |
| spelling | doaj.art-271b23516e3246419f52fc8d2676b6ba2023-06-10T04:28:43ZengElsevierAdvances in Applied Energy2666-79242023-06-0110100129GIScience can facilitate the development of solar cities for energy transitionRui Zhu0Mei-Po Kwan1A.T.D. Perera2Hongchao Fan3Bisheng Yang4Biyu Chen5Min Chen6Zhen Qian7Haoran Zhang8Xiaohu Zhang9Jinxin Yang10Paolo Santi11Carlo Ratti12Wenting Li13Jinyue Yan14Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, Singapore 138632, Republic of Singapore; Corresponding author.Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong, ChinaAndlinger Center for Energy and Environment, Princeton University, 86 Olden St, Princeton, NJ 08540, United StatesDepartment of Civil and Environmental Engineering Faculty of Engineering, Norwegian University of Science and Technology, NorwayState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaKey Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing 210023, China; State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, ChinaKey Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing 210023, China; State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, ChinaSchool of Urban Planning and Design, Peking University, Shenzhen 100871, ChinaDepartment of Urban Planning and Design, The University of Hong Kong, Hong Kong, ChinaSchool of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, ChinaSenseable City Laboratory, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, MA 02139, United StatesSenseable City Laboratory, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, MA 02139, United StatesSingapore Institute of Manufacturing Technology (SIMTech), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Singapore 138634, Republic of SingaporeDepartment of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, ChinaThe energy transition is increasingly being discussed and implemented to cope with the growing environmental crisis. However, great challenges remain for effectively harvesting and utilizing solar energy in cities related to time and location-dependant supply and demand, which needs more accurate forecasting- and an in-depth understanding of the electricity production and dynamic balancing of the flexible energy supplies concerning the electricity market. To tackle this problem, this article discusses the development of solar cities over the past few decades and proposes a refined and enriched concept of a sustainable solar city with six integrated modules, namely, land surface solar irradiation, three-dimensional (3D) urban surfaces, spatiotemporal solar distribution on 3D urban surfaces, solar photovoltaic (PV) planning, solar PV penetration into different urban systems, and the consequent socio-economic and environmental impacts. In this context, Geographical Information Science (GIScience) demonstrates its potent capability in building the conceptualized solar city with a dynamic balance between power supply and demand over time and space, which includes the production of multi-sourced spatiotemporal big data, the development of spatiotemporal data modelling, analysing and optimization, and geo-visualization. To facilitate the development of such a solar city, this article from the GIScience perspective discusses the achievements and challenges of (i) the development of spatiotemporal big data used for solar farming, (ii) the estimation of solar PV potential on 3D urban surfaces, (iii) the penetration of distributed PV systems in digital cities that contains the effects of urban morphology on solar accessibility, optimization of PV systems for dynamic balancing between supply and demand, and PV penetration represented by the solar charging of urban mobility, and (iv) the interaction between PV systems and urban thermal environment. We suggest that GIScience is the foundation, while further development of GIS models is required to achieve the proposed sustainable solar city.http://www.sciencedirect.com/science/article/pii/S2666792423000082Geographical information scienceGeospatial technologiesSolar energyEnergy transitionDistributed energy systems |
| spellingShingle | Rui Zhu Mei-Po Kwan A.T.D. Perera Hongchao Fan Bisheng Yang Biyu Chen Min Chen Zhen Qian Haoran Zhang Xiaohu Zhang Jinxin Yang Paolo Santi Carlo Ratti Wenting Li Jinyue Yan GIScience can facilitate the development of solar cities for energy transition Advances in Applied Energy Geographical information science Geospatial technologies Solar energy Energy transition Distributed energy systems |
| title | GIScience can facilitate the development of solar cities for energy transition |
| title_full | GIScience can facilitate the development of solar cities for energy transition |
| title_fullStr | GIScience can facilitate the development of solar cities for energy transition |
| title_full_unstemmed | GIScience can facilitate the development of solar cities for energy transition |
| title_short | GIScience can facilitate the development of solar cities for energy transition |
| title_sort | giscience can facilitate the development of solar cities for energy transition |
| topic | Geographical information science Geospatial technologies Solar energy Energy transition Distributed energy systems |
| url | http://www.sciencedirect.com/science/article/pii/S2666792423000082 |
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