Optimized Photovoltaic System Using PV Syst Software For Residential Building Energy In Multan

Abstract

Any developing nation, including Pakistan, must have access to energy to sustain economic growth. The design and installation of a cost-effective renewable energy option are presented in this article along with a renewable energy solution for Multan, Pakistan's densely populated city of saints. Solar power is the energy source that is expanding the fastest worldwide. Installed photovoltaic power in Pakistan till 31st December 2022 is 785.42 MW which was 5 years ago 250 MW. Pakistan has a huge potential for photovoltaic (PV), The average value of solar irradiance on a solar plane surface is 5.5-6.5 kWh/m2/day, according to geographic and climatic research. For the suggested location, geographic information, meteorological data, and energy demand consumption are gathered. PVSyst simulation software has also been used to analyze performance ratios and losses. The simulated system used little rooftop area and battery storage to fulfill the maximum demand, allowing enough room for the system to be expanded in the future to meet rising energy needs. Load needs, geographic coordinates, sun radiation, etc. all have an impact on this process. Based on estimations of watt-hour consumption, the stand-alone PV system's size and design are carried out. As a consequence, the system has demonstrated promise and validates its viability for the area while taking into account energy loss. The simulation's findings include the total energy produced by the PV array, energy that was not utilized and that was provided to the load, PV conversion efficiency, system losses, performance ratio (PR), and other data. According to the examination of performance ratios, the optimal Performance ratio of 92.9% was reached in January and the lowest PR was 82.5% attained in July. However, the average PR for 2023 is 86.2%. Different types of losses account for the system's decreased power capacity. By using the same methodology, this research will be useful in developing and scaling grid-connected PV systems for different sites around the globe.