The Optimization of Photovoltaic Systems Design Using Mathematical Modeling and QFD-DSM Methods

The application of renewable energy sources such as Photovoltaic Systems (PV) can be effective in minimizing damage to the environment. As the use of PV systems increases, questions and concerns about higher quality and reliability have been raised. The aim of this study, which has been conducted in the high-tech electronic industry, is to select the optimal components for designing photovoltaic systems. It has been done to achieve goals such as increasing customer satisfaction and system efficiency, reducing the overall cost and procurement time of the system. In this regard, after extracting Customer Needs from the first stage of the systems engineering process, they have been interpreted to Functional Requirements using the first matrix of QFD. Then, the FRs have been prioritized by use of Analytical Network Process and entered the second matrix of QFD. They have been examined along with leveled components based on the alternatives available for each component. Also, the Design Structure Matrix has been used to evaluate the effect of elements upon each other. Finally, a mathematical model is developed to select optimal components according to the defined objective functions and constraints. After solving the model in GAMS software, the results indicate that type B of Solar Panels, a type E of Controller, a type F of Combiner Box, a type H of Inverter, type L of Batteries, type Q of Disconnects, and type T of Miscellaneous Components must be selected to achieve mentioned objectives.