城市街道峡谷内体积太阳能潜力的评估方法

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Teresa Santos , Márcia Matias , Jorge Rocha , Killian Lobato
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引用次数: 0

摘要

虽然屋顶的光伏(PV)潜力已被广泛研究,但建筑物之间的体积空间仍未被广泛探索。这项研究引入了一个可复制的框架来量化这个未被占用的城市体量内的太阳辐射。该方法利用广泛可用的城市规模数据集(例如,激光雷达数据、高程等高线和建筑足迹)和可访问的软件,以建筑物之间的增量高度生成虚拟表面。这些表面作为计算每隔30分钟太阳日照的基础。该方法通过不同城市形态的社区来展示其在不同背景下的适用性。这个框架产生了详细的日照图,揭示了太阳辐射的体积如何随着城市形态和一年中的时间而变化。城市规模数据集的使用使得这种方法特别适合城市规模的规划,使城市规划者能够确定光伏安装的最佳位置,增强城市热舒适性,并提高街道亮度。本研究的主要贡献在于方法的可及性和普遍性,可以应用于支持太阳日照是一个关键因素的城市设计决策。通过解决未充分开发的太阳能体积潜力,本研究为推进城市可持续性提供了可行的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
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
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