Multi-objective optimization of a grid-connected PV system for a public building: Faculty of Sciences and Technology at Pau

In this paper, an optimal sizing of a grid-connected PV system to accommodate the load demands of a public building (i.e., Faculty of Sciences and Technology located in Pau-France) and its occupants' electric vehicles is presented. Both single-objective and multi-objective optimizations are performed to optimally size the system for a period of 20 years, while mitigating the carbon footprint, reducing the imported power from the grid and decreasing the cost of energy. The optimization problem was programmed and solved using MATLAB software. It was found that the optimal configuration fulfills attractive values of total net present cost of 1.11 x 10(6) $ and levelized cost of energy of 0.056 $/kWh. This optimum consists of 1093 kW installed PV power, with an annual energy generated of 1.42 x 10(6) kWh/year, which avoids emissions of 20 tonnes CO(2)eq/year. Therefore, the present study might help to achieve the decarbonization process of a France's energy sector through the development of local green energy production platforms and the increase of the building's self-sufficiency. [GRAPHICS] .

Automated summary

This paper presents the optimal sizing of a grid-connected PV system for a public building and electric vehicles, aiming to reduce carbon footprint and energy costs. The study shows that the optimal configuration of the system includes 1093 kW installed PV power, generating 1.42 x 10(6) kWh/year and avoiding emissions of 20 tonnes CO(2)eq/year. This research can contribute to the decarbonization process of the energy sector in France.