Techno-economic feasibility analysis of a grid connected solar photovoltaic power system for a residential load

Abstract

In the present paper the software Hybrid Optimization Model for Electric Renewables (HOMER) is used to optimal design and analyze a domestic power system which includes a grid connected solar photovoltaic (PV) based power system along with battery storage to supply a single residential load located near Siliguri, West Bengal (with latitude and longitude of 26 0 72'N and 88 0 41'E respectively). In this context, the analyses have been carried out in two modes -grid connected and standalone. The simulation results obtained are mainly on cost of energy, pay-back period, environmental emissions etc. On the basis of these results, two modes are compared with the grid-only (base) mode. Performance of each component (i.e. battery, inverter, rectifier etc) of the model is evaluated and finally sensitivity analysis is performed to optimize the system at different conditions.The Government subsidy is, also, addressed into the analyses.

Simulations of Grid-Connected Photovoltaic System in Qena Al-Gadida City

“…The optimal system presented required 33% coverage instead of 25% of the governmental building load as shown in Figure ( (1), the optimal result for system (1) With the new system the monthly average electricity production is shown in Figure ( The new PV system configuration shown in Table ( 5) shows that the new bigger PV panel size obtained for the optimal system is the same size of the inverter. The PV size is 200 KW with a capital cost of $ 200,000while the maintenance costs are equal to zero.…”

“…Applications of photovoltaic systems have been spread for lighting, water pumping, telecommunications, cooling and advertisement purposes on the commercial scale in Egypt [1]. This study introduces electricity supply of a percentage of loads for the governmental building in Qena Al-Gadida city to make reduction of loads on the grid., and make comparison between electricity cost (L.E/kWh) using PV panels and the local electricity supply, it aims to investigate at which extend on grid system is cost effective and to find the optimum solution of on grid PV systems that will be suitable to the building assuming PV fractions to supply loads (0, 25, 50, 75) % [2][3][4][5][6][7][8][9].…”

Machine Learning Strategy to Achieve Maximum Energy Harvesting and Monitoring Method for Solar Photovoltaic Panel Applications

“…This is equal to the actual area of the panel multiplied by the sine of the angle between its plane and the direction of flow (or, equally, perpendicular to the panel and by the cosine of the angle between the direction of flow) [1]. Therefore, if the panel is perpendicular to the flow, its effective area is equal to its actual area, the flow becomes 60% from the vertical-half of the actual area, and if the flow is parallel to the panel, its performance area is zero [2]. Thus, the significant deviation of the flow from the perpendicular to the panel increases the reflection, but reduces its effective area, which causes a more significant drop in output [3][4][5].…”

Design of PV-Wind Turbine Mobile Container for Disaster Area Using Homer: A Case study in Cepu - Central Java

“…The alternative in the first countermeasures to disaster is to install a hybrid PV-Wind system on the container, moving the energy supply wherever it is needed and moving it back as needed. The PV-Wind Mobile power system is a standalone system that can use to provide electricity to communication stations, hospital, ensconce, and homes at disaster sites before electric utilities available [3]. The combination of the PV-Wind power system is very suitable to be applied in the Cepu area because the potential for solar and wind is sufficient and other parts of Indonesia.…”