Unlocking solar potential in high-latitude urban areas: A study of morphological indicators and zero energy potential of Glasgow.

[Display omitted] • Assessment of rooftop solar potential at high latitudes. • Mapping urban solar potential and linking it to urban form using 3D GIS methods. • Use of machine learning to identify key morphological indicators that influence urban solar potential. • Five typical urban form archetypes were identified through cluster analysis. • Low-energy potential of cities calculated and analyzed to inform policies for carbon neutrality. The complexity of urban form can have a significant impact on the utilization of solar energy. While numerous studies have examined the influence of urban form on solar potential, the optimization of solar energy use in cities located at high latitudes remains a challenging subject. In this study, we focus on the high-latitude city of Glasgow, using residential buildings in urban grid cells as our sample. We calculate solar potential and urban form indicators for these buildings using the Digimap database and the ArcGIS Pro platform. Employing eight machine learning algorithms, we analyze the data and extract eight key morphological indicators that affect the solar potential of urban grid cells. Among these indicators, we select four indicators—roof slope, building density, plot ratio, and building perimeter shape factor—for cluster analysis, enabling us to classify urban building forms into five types based on their characteristics and solar potential. Our calculations demonstrate that effective utilization of solar energy offers significant zero energy potential for Glasgow. The findings of this research can provide valuable guidance in the early stages of urban planning and design, assisting policymakers in rationalizing the use of solar energy resources for sustainable urban development. Furthermore, the results help urban stakeholders identify variations in the solar potential of different building forms, aiding them in selecting appropriate building types and zones to maximize solar energy utilization. [ABSTRACT FROM AUTHOR]