A Multi-Fuzzy Logic Model for Assessing Consumer Adoption of Solar Photovoltaic Systems

A multi-fuzzy logic model was developed to assess consumer adoption of solar photovoltaic systems. Different factors, such as consumer ratings for energy cost and electricity access, knowledge level, installation costs, and generation capacities, were included in the model. The framework developed includes multiple fuzzy systems, such as Mamdani fuzzy inference systems and fuzzy goal programming to consolidate different data types and reduce the total modeling effort. The model was evaluated using case studies based on different scenarios in the Philippines. The case study results show that the generated adoption index adequately describes how likely a consumer will adopt a solar PV system. Future work for this study includes simulations using actual consumer data and optimization of generation capacity to maximize the economic satisfaction of consumers.