Design and Simulation of a Solar PV System for a University Building

Balal, Afshin; Herrera, Miguel Angel García; Johnson, E. L.; Dallas, Tim

doi:10.1109/icpea52760.2021.9639361

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…Few researchers have focused on designing PV systems at academic institutions to determine the optimal system configurations and performance under different load conditions [22][23][24]. Another researcher further considered these additional factors: location (geographic coordinates), climate, and inverter efficiency [25].…”

Section: Scope and Aimmentioning

confidence: 99%

Integration of Renewable Energy Technologies for Sustainable Development in South Africa: A Focus on Grid-Connected PV Systems

Kumba,

Olanrewaju,

Pasipamire

2024

Energies

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Energy is essential for crucial development in Africa. The current electricity shortages and load shedding in South Africa show that the country faces significant challenges in reaching positive economic growth. For industries to operate sustainably, an innovative mechanism must be tailored to solve the negative impacts of industrial energy use, particularly climate change. This study aims to show how renewable energy technologies can provide new economic opportunities, contribute to higher standards of living, and reduce the impacts of society on ecosystems, among other things. This paper presents a feasibility analysis and optimization of new energy technologies by designing and simulating a grid-connected PV system for sustainable development. PV Syst software (PV Syst 6.8.8) was used to simulate and optimize the PV system. The software was employed to design and model the PV systems, calculating energy production, economic performance, and environmental impact. Using simulation data, the researchers compared PV system performance across three scenarios and identified the optimal system. Scenario A was chosen as the best system, with an energy production of 1720 MWh/year. Overall, the findings of this study suggest that grid-connected PV systems are a feasible and sustainable option for meeting South Africa’s energy needs. By implementing the results and recommendations, the government, investors, and community can work together to develop and deploy a successful PV system that will benefit all.

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Section: Scope and Aimmentioning

confidence: 99%

Integration of Renewable Energy Technologies for Sustainable Development in South Africa: A Focus on Grid-Connected PV Systems

Kumba,

Olanrewaju,

Pasipamire

2024

Energies

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“…some advantages over other methods, including using a lower number of weather factors [14][15][16]. Regarding the solar system, there are three types of tracking systems for installing solar panels, including a one-axis tracking system, a two-axis tracking system, and a fixed tracking system [17][18][19].…”

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confidence: 99%

Techno-Economic Analysis of a 12-kW Photovoltaic System Using an Efficient Multiple Linear Regression Model Prediction

Pourmaleki

Agutu²,

Rezaei

et al. 2022

IJRCS

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Renewable energy sources are expected to replace traditional energy sources such as oil and gas in the future. It goes without saying that solar energy has been demonstrated to be a key source of green energy. Solar energy is used because it is abundant, pollution-free, and easily available. However, the power utility market requires highly exact solar energy forecasts. These challenges need the creation of a device that can precisely predict solar energy output via processing the location's weather data, which is accomplished through the use of machine learning and multiple linear regression (MLR). Some elements, such as the number of cloudy days, humidity, temperature, wind condition, and precipitation, should be addressed while simulating solar power output. In this paper, a 12-kW photovoltaic (PV) system on the rooftop of a house in Isfahan was studied using the System Advisor Model (SAM). The most significant research contribution of the proposed paper is to predict the output power of a solar system with the lowest possible error. According to the simulation results, by using the MLR model, the predicted power has an error of 6 % with the actual power, which is a very good estimation. In addition, this system meets each household's energy needs plus an additional 8430 kWh per year, resulting in being paid by utility companies, a fewer number of outages, and lower air pollution levels.

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Designing Sustainable and Eco-Friendly Lighting Solutions for Campus Safety: The Role of Concentrated Solar-powered Light Poles

Khalvati,

Camacho,

Rodrigues

et al. 2023

2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)

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Design and Simulation of a Solar PV System for a University Building

Cited by 5 publications

References 15 publications

Integration of Renewable Energy Technologies for Sustainable Development in South Africa: A Focus on Grid-Connected PV Systems

Integration of Renewable Energy Technologies for Sustainable Development in South Africa: A Focus on Grid-Connected PV Systems

Techno-Economic Analysis of a 12-kW Photovoltaic System Using an Efficient Multiple Linear Regression Model Prediction

Designing Sustainable and Eco-Friendly Lighting Solutions for Campus Safety: The Role of Concentrated Solar-powered Light Poles

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