GIScience can facilitate the development of solar cities for energy transition

IF 13 Q1 ENERGY & FUELS
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
{"title":"GIScience can facilitate the development of solar cities for energy transition","authors":"Rui Zhu ,&nbsp;Mei-Po Kwan ,&nbsp;A.T.D. Perera ,&nbsp;Hongchao Fan ,&nbsp;Bisheng Yang ,&nbsp;Biyu Chen ,&nbsp;Min Chen ,&nbsp;Zhen Qian ,&nbsp;Haoran Zhang ,&nbsp;Xiaohu Zhang ,&nbsp;Jinxin Yang ,&nbsp;Paolo Santi ,&nbsp;Carlo Ratti ,&nbsp;Wenting Li ,&nbsp;Jinyue Yan","doi":"10.1016/j.adapen.2023.100129","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"10 ","pages":"Article 100129"},"PeriodicalIF":13.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Applied Energy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666792423000082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 12

Abstract

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.

gisscience可以促进太阳能城市的发展,实现能源转型
为了应对日益严重的环境危机,人们越来越多地讨论和实施能源转型。然而,在城市中有效地收集和利用太阳能仍然面临着巨大的挑战,这与时间和地点相关的供需关系,这需要更准确的预测-以及对电力市场中灵活能源供应的电力生产和动态平衡的深入了解。为了解决这一问题,本文讨论了过去几十年太阳能城市的发展,并提出了一个完善和丰富的可持续太阳能城市概念,包括六个集成模块,即陆地表面太阳辐射,三维(3D)城市表面,三维城市表面的太阳能时空分布,太阳能光伏(PV)规划,太阳能光伏在不同城市系统中的渗透,以及由此产生的社会经济和环境影响。在此背景下,地理信息科学(GIScience)在构建电力供需随时间和空间动态平衡的概念化太阳城方面显示出强大的能力,包括多源时空大数据的生成,时空数据建模、分析和优化的发展以及地理可视化。为了促进这样一个太阳能城市的发展,本文从GIScience的角度讨论了以下方面的成就和挑战:(i)用于太阳能农业的时空大数据的发展,(ii)三维城市表面太阳能光伏潜力的估计,(iii)分布式光伏系统在包含城市形态对太阳能可达性影响的数字城市中的渗透,优化光伏系统以实现供需动态平衡,(4)光伏系统与城市热环境的相互作用。我们认为,GIS科学是基础,而GIS模型的进一步发展需要实现所提出的可持续太阳能城市。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Advances in Applied Energy
Advances in Applied Energy Energy-General Energy
CiteScore
23.90
自引率
0.00%
发文量
36
审稿时长
21 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信