Research on Collaborative Design of AI-Based Building Rooftop Photovoltaic Systems and Green Spaces

Abstract

As the “dual carbon” goals advance, rooftops are emerging as hybrid platforms for clean energy and ecological value. Integrating photovoltaics (PV) and green roofs is key to urban sustainability, yet conflicts in space use, cooling, and ecology persist. The authors propose using AI to achieve a dynamic balance between energy efficiency and environmental benefits. AI models can predict PV performance and vegetation states under varying climates and generate optimal design solutions through multi-objective optimization, overcoming limitations of traditional approaches. Viewing rooftops as coupled eco-energy systems, they analyze interactions among solar radiation, temperature, evapotranspiration, and energy use, highlighting AI’s strengths in pattern recognition and strategy generation. Results show this method enables stable energy output while supporting ecological functions and human comfort. This collaborative design represents a vital convergence of architecture and energy science, crucial for future urban green transformation.