Initial Planning and Estimation of 2.4 Kw Solar Power Plant Using PVsyst Software in Faculty of Engineering, Sultan Ageng Tirtayasa University – Cilegon Banten Province
- DOI
- 10.2991/aer.k.220131.029How to use a DOI?
- Keywords
- Solar Power Plant; PVSyst; Photovoltaic Modules; Solar Farm Efficiency
- Abstract
Indonesia is located in an equatorial region with an abundance of solar energy, with an average solar radiation intensity of 4.8 kWh/m2 per day. It can be used to build solar power plants. This research aims to estimate and plan the efficiency of a solar farm so that the power produced in the faculty of engineering at the university Sultan Ageng Tirtayasa – Cilegon, Banten. In accordance to the desired and can avoid power loss caused by miscalculation of specifications such as photovoltaic (PV) modules with capacity 2.4kWatt peak (Wp), battery, solar charge controller, or inverter used. The method used is to predict by influenced factors such as shading, a tilt of solar modules, cable use, and natural factors. The calculated power generated after that analysis for solar power plants can be done using PVSyst software applications. PVSyst is used to do calculation simulations for solar power plants with a 2.4kWatt capacity at a given location that will be charged four times with a 36 Volt and a current of 2 Ampere for a duration of three hours
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Rocky Alfanz AU - M. Otong AU - Fulka Zaidan AU - Imron Rosadi AU - Putro F Ferdinant PY - 2022 DA - 2022/02/01 TI - Initial Planning and Estimation of 2.4 Kw Solar Power Plant Using PVsyst Software in Faculty of Engineering, Sultan Ageng Tirtayasa University – Cilegon Banten Province BT - Proceedings of the Conference on Broad Exposure to Science and Technology 2021 (BEST 2021) PB - Atlantis Press SP - 173 EP - 177 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.220131.029 DO - 10.2991/aer.k.220131.029 ID - Alfanz2022 ER -