Rooftop photovoltaics (RPVs) play a crucial role in reducing urban carbon emissions and aiding the shift toward net-zero energy systems. However, the complexities of urban settings introduce significant variability in RPV costs across different locations and times. This study focuses on the Pingshan District in Shenzhen, a representative example of cities in southern China. The study analyzes geometric characteristics and community types from various urban areas to perform K-means++ clustering. These typical community types are then used to comprehensively assess RPV deployment in terms of energy, environment, and economics. The study provides practical strategies for integrating RPVs, offering insights that contribute to sustainable urban energy transitions.
Keywords rooftop photovoltaic, K-means++, urban form, cost-benefit analysis, renewable energy strategy