Innovative regression-based methodology to assess the techno-economic performance of photovoltaic installations in urban areas

Households present a significant contribution in the national energy consumption, and photovoltaics (PV) has become an economically feasible technology that can play important role to lower this consumption associated emissions. Nevertheless, there is still gap between too in-depth technical models for detailed studies what urban planners need, which are simpler, yet reliable techno-economical tools select roofs of city buildings best candidates PV production. In order face gap, multiple linear regression (MLR) model been developed determine economic payback using dimensionless parameters. The methodology adopted Valencia (Spain) large sample multi-storey buildings, most common typology. approach high replicability since it be applied different countries. MLR provides root mean squared error (RMSE) 0.48 years comparison with complex techno-economic was previously validated software System Advisor Model (SAM). variables have bigger weight shadow losses power unit cost due economy scale. With current Spanish regulation, installations on reach paybacks around 7–15 option economies scales together low surplus. • Analysis performance areas. Novel regression-based methodology, replicable other locations. Correlations obtained 893 Valencia. RMSE prediction payback. Shadow biggest impact feasibility.