{"title":"城市街道峡谷内体积太阳能潜力的评估方法","authors":"Teresa Santos , Márcia Matias , Jorge Rocha , Killian Lobato","doi":"10.1016/j.rsase.2025.101564","DOIUrl":null,"url":null,"abstract":"<div><div>While rooftops have been extensively studied for their photovoltaic (PV) potential, the volumetric space between buildings remains largely unexplored. This study introduces a replicable framework to quantify solar radiation within this unoccupied urban volume. The methodology leverages widely available city-scale datasets (e.g., LIDAR data, elevation contours, and building footprints) and accessible software to generate virtual surfaces at incremental heights between buildings. These surfaces serve as the basis for calculating solar insolation at 30-min intervals. The approach is demonstrated using neighbourhoods with differing urban morphologies to showcase its applicability across various contexts. This framework produces detailed insolation maps, revealing how volumetric solar radiation varies with urban form and time of year. The use of city-scale datasets makes this approach particularly suited for planning at the urban scale, enabling urban planners to identify optimal locations for PV installations, enhance urban thermal comfort, and improve street luminosity. The primary contribution of this study lies in the accessibility and generalizability of the methodology, which can be applied to support urban design decisions where solar insolation is a critical factor. By addressing the underexplored volumetric solar potential, this study provides actionable tools for advancing urban sustainability.</div></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"38 ","pages":"Article 101564"},"PeriodicalIF":3.8000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Method for assessing volumetric solar potential within urban street canyons\",\"authors\":\"Teresa Santos , Márcia Matias , Jorge Rocha , Killian Lobato\",\"doi\":\"10.1016/j.rsase.2025.101564\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>While rooftops have been extensively studied for their photovoltaic (PV) potential, the volumetric space between buildings remains largely unexplored. This study introduces a replicable framework to quantify solar radiation within this unoccupied urban volume. The methodology leverages widely available city-scale datasets (e.g., LIDAR data, elevation contours, and building footprints) and accessible software to generate virtual surfaces at incremental heights between buildings. These surfaces serve as the basis for calculating solar insolation at 30-min intervals. The approach is demonstrated using neighbourhoods with differing urban morphologies to showcase its applicability across various contexts. This framework produces detailed insolation maps, revealing how volumetric solar radiation varies with urban form and time of year. The use of city-scale datasets makes this approach particularly suited for planning at the urban scale, enabling urban planners to identify optimal locations for PV installations, enhance urban thermal comfort, and improve street luminosity. The primary contribution of this study lies in the accessibility and generalizability of the methodology, which can be applied to support urban design decisions where solar insolation is a critical factor. By addressing the underexplored volumetric solar potential, this study provides actionable tools for advancing urban sustainability.</div></div>\",\"PeriodicalId\":53227,\"journal\":{\"name\":\"Remote Sensing Applications-Society and Environment\",\"volume\":\"38 \",\"pages\":\"Article 101564\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing Applications-Society and Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S235293852500117X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing Applications-Society and Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S235293852500117X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Method for assessing volumetric solar potential within urban street canyons
While rooftops have been extensively studied for their photovoltaic (PV) potential, the volumetric space between buildings remains largely unexplored. This study introduces a replicable framework to quantify solar radiation within this unoccupied urban volume. The methodology leverages widely available city-scale datasets (e.g., LIDAR data, elevation contours, and building footprints) and accessible software to generate virtual surfaces at incremental heights between buildings. These surfaces serve as the basis for calculating solar insolation at 30-min intervals. The approach is demonstrated using neighbourhoods with differing urban morphologies to showcase its applicability across various contexts. This framework produces detailed insolation maps, revealing how volumetric solar radiation varies with urban form and time of year. The use of city-scale datasets makes this approach particularly suited for planning at the urban scale, enabling urban planners to identify optimal locations for PV installations, enhance urban thermal comfort, and improve street luminosity. The primary contribution of this study lies in the accessibility and generalizability of the methodology, which can be applied to support urban design decisions where solar insolation is a critical factor. By addressing the underexplored volumetric solar potential, this study provides actionable tools for advancing urban sustainability.
期刊介绍:
The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems