Renewable Energy Feasibility AI

Renewable energy feasibility analysis evaluates whether on-site energy generation — photovoltaics, wind turbines, geothermal systems, or biomass — is technically viable and financially beneficial for a specific building project. AI models the energy generation potential against the building's consumption profile and the local utility rate structure.

Solar PV feasibility is the most common analysis. AI evaluates the roof area available for panels (accounting for mechanical equipment, setbacks, structural capacity), the solar resource at the site (using TMY data adjusted for shading from adjacent structures), and the expected energy production over the panel lifetime. The financial analysis compares the PV system cost against the energy cost savings, utility incentives, and tax credits to determine the payback period and return on investment.