DESIGN AND COMPARATIVE STUDY OF ON-GRID SOLAR PHOTOVOLTAIC SYSTEM AT STEEL INDUSTRY FACTORY

• Main Author: Rafi Pratama, Muhammad
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/66611
• Institution: Institut Teknologi Bandung

DESIGN AND COMPARATIVE STUDY OF ON-GRID SOLAR PHOTOVOLTAIC SYSTEM AT STEEL INDUSTRY FACTORY Muhammad Rafi Pratama NIM. 18018013 ABSTRACT In order to achieve the target of 23% by 2025 for renewable energy in the primary energy mix, the industrial sector which contributes 54% of the highest energy consumption has begun to implement the installation of rooftop PV system as a form of support for the renewable energy mix which is also aimed at saving electricity bills. Rooftop PV system of 2,257 MWp is designed in a steel industrial factory with a configuration of 4,108 PV modules with a capacity of 550 Wp which is divided into 228 strings. With a load profile that consumes a lot of electricity at peak load times (WBP), batteries are used as a solution to save electricity costs in avoiding peak load times (WBP). Technical comparisons (simulation) and economics are carried out to find the most optimal system with 2 alternative solutions, namely with battery or without battery. In its design, the inverter used has a capacity of 100 kW with a total of 18 inverters for systems without batteries, and 2 inverters with a capacity of 900 kW for systems with batteries. The batteries used are 808 12A 200Ah batteries. The cons in using batteries are losses and the price is still very expensive. Based on the research, the result is that the rooftop PV system without a battery is more optimal than using a battery. The energy produced by the system is 3239 MWh/year, with a specific energy production of 1435 kWh/kWp, a daily energy production of 3.93 kWh/kWp/day and a Performance Ratio of 81.4%. Furthermore, from the economic aspect, obtained LCOE of Rp689/kWh, NPV of Rp9.484.604.746, IRR of 12,02%, and Payback Period of 8,55 years. Keywords: Rooftop PV System, Batteries, Peak Load Times (WBP), Simulation, Renewable Energy