Performance Analysis and Comparative Study of a 467.2 kWp Grid-Interactive SPV System: A Case Study

Abstract

This paper demonstrates the investigation of the acquired outcomes from consistent information observing a 467.2 kWp solar photovoltaic (SPV) framework commissioned on the roofs of three separate high-rise buildings, which are located at the location of 26.9585° N and 80.9992° E. Onside real-time performance for this system was investigated for three years, 2018–2020; this system contains 1460 SPV panels of 320 Wp each, having 20 PV panels per string, 09 DC/AC power conditioning units (PCU), and a SCADA (supervisory control and data acquisition) system for monitoring the other necessary parts of a grid-interactive SPV system. The outcomes of the different buildings are compared with each other to analyze the power output at the same input conditions. Hardware components of the plants with approximately the same ratings (P2 ~ 108.8 kWp + P3 ~ 128 kWp) are compared (with P1 ~ 230.4 kWp). Simulation modeling of the year 2020 in PVsyst tool for generated energy, Performance Ratio (PR), and Capacity Utilization Factor (CUF) are carried out additionally and compared with the installed rooftop grid-interactive SPV system of 467.2 kWp (~P1 + P2 + P3) at the site. Numerous performance parameters such as array efficiency, inverter efficiency, system efficiency, Performance Ratio (PR), and Capacity Utilization Factor (CUF) of the plant are evaluated and compared with already installed systems in different regions of the world. These points demonstrate great feedback to framework architects, workers, designers, and energy suppliers regarding the genuine limit and plausibility of the framework they can offer to clients. Moreover, one of the environmental benefits of the SPV plant is that the 467.2 kWp PV framework reduces the tremendous measure of CO2, SO2, and NOX that is discharged into the air.

Performance Analysis and Comparison of a 93.6 kW Grid-Connected Rooftop Photovoltaic System in South Tangerang

“…Other studies also found a high PR value above 90%. The PR of PV systems in Morocco ranged from 58% in December to 98% on January 33) , while PR in Lucknow, India, ranged from 55.7% to 93.14 % 34) . The studies were conducted in 2016 and 2020.…”

“…The PV power plant's performance depends on PV module type, power converter, installation, system configuration, and climate. Therefore, evaluating the PV power plant's performance is essential, as many countries have recently investigated [10][11][12][13][14][15][16][17][18][19] .…”

Feasibility and Techno-Economic Assessment of a 128kWp Grid-Tied SPV System using HOMER Pro

“…The net present cost (NPC) is the product of the current value of all connected expenses and the real value of all revenues throughout the course of the endeavor. This includes the original expense, repairs, maintenance, and operating expenses, in addition to any possible emission penalty [24], [25], [26].…”

An analysis of case studies for advancing photovoltaic power forecasting through multi-scale fusion techniques

“…The most current research on PV power forecasting includes a large number of different forecasting approaches, the choice of which is dependent on the adopted time horizon of the forecast, the utilized inputs, and the forecasting strategy that is chosen. The PV power forecasting techniques may be classified into 3 : (1) physical methods, relying on satellite/sky imagery or numerical weather prediction (NWP) that need post-processing to transform their output to PV power, and (2) data-driven approaches that relate the output of the PV plant to external factors 4 . In the first category, the modeling process necessitates the collection of a substantial amount of data and the execution of several complicated analyses to estimate the parameters of the physical model, which restricts its applicability to the real world.…”