Energy performance and loss analysis of 100 kWp grid-connected rooftop solar photovoltaic system

KhareSaxena, Anupama; Saxena, Sanjeev; Sudhakar, K.

doi:10.1177/0143624421994224

Cited by 22 publications

(7 citation statements)

References 17 publications

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“…In some cases, solar PV efficiency might be lower than CSP efficiency, especially when energy storage is included. For commercially accessible solar PV systems, the energy conversion efficiency generally ranges from 15% to 22% [51]. Depending on the panel quality and regional environmental factors, this efficiency may change.…”

Section: Comparison Of Solar Photovoltaic (Pv) Efficiency With Other ...mentioning

confidence: 99%

Solar Photovoltaic Home Systems in Malaysia: A Comprehensive Review and Analysis

Sarker,

Haram,

Ramasamy

et al. 2023

Energies

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This paper presents a thorough review and analysis of solar photovoltaic (PV) home systems in Malaysia, offering a comprehensive exploration of their implementation, challenges, benefits, and future potential. As a nation striving to embrace sustainable and renewable energy solutions, Malaysia’s adoption of solar PV systems at the residential level is of paramount importance. The study delves into the current state of solar PV deployment, government initiatives, and policy frameworks that influence adoption trends. It examines the economic, environmental, and societal advantages of solar PV home systems, outlining their contribution to reducing electricity costs, carbon emissions, and energy dependence. Addressing barriers to wider acceptance, the paper scrutinizes challenges encompassing cost, awareness, intermittency, and regulatory constraints. Furthermore, the study evaluates the socio-economic implications of solar PV home systems, including potential job creation and energy independence. Technological advancements, such as enhanced efficiency and smart grid integration, are also explored for their role in surmounting obstacles. Drawing insights from practical case studies, the paper underscores successful installations and the lessons they offer. In examining policy and regulatory frameworks, it analyzes existing incentives while suggesting improvements to accelerate adoption. Finally, the paper offers a visionary perspective on the future trajectory of solar PV home systems in Malaysia, envisioning increased affordability, advanced energy storage solutions, and seamless integration with emerging technologies. This holistic analysis contributes valuable insights to propel Malaysia’s sustainable energy transition and inform strategic decision making for stakeholders across sectors.

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Section: Comparison Of Solar Photovoltaic (Pv) Efficiency With Other ...mentioning

confidence: 99%

Solar Photovoltaic Home Systems in Malaysia: A Comprehensive Review and Analysis

Sarker,

Haram,

Ramasamy

et al. 2023

Energies

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“…e findings provided light on the impact of temperature variations, the sun's location in relation to the Earth's horizon, and the impact of mono-Si vs poly-Si systems. In [17], a grid-tied 100 kWp solar photovoltaic power plant, erected on an institute's building rooftop in Bhopal, India, was simulated and energy analysed. e study sheds light on the performance of solar power plants connected to the medium-term grid in real-world settings in central India.…”

Section: Related Literaturementioning

confidence: 99%

Machine Learning Based Prediction of Output PV Power in India and Malaysia with the Use of Statistical Regression

Yadav

Kannan

Meraj

et al. 2022

Mathematical Problems in Engineering

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Climate change and pollution are serious issues that are driving people to adopt renewable energy instead of fossil fuels. Most renewable energy technologies rely on atmospheric conditions to generate power. Solar energy is a renewable energy source that causes the least environmental damage. Solar energy can be converted to electricity, which necessitates the use of a PV system. This study presents a design, which analyses the output power performance of PV, using machine learning technique in India and Malaysia; using this, we would get the predicted amount of solar power using different weather conditions for both India and Malaysia. This study is divided into two sections, such as the data collection section and the implementation system. Dataset was collected from a weather NASA website, which took various weather parameters, based on which the model will be evaluated. The proposed research work is developed using ANN and is an amalgamation of statistical regression and neural networks, which help the model to get high accuracy by helping the model learn more complex relationships between parameters, which is able to evaluate the output power performance of photovoltaic cells with different environmental condition parameters in India and Malaysia. The ANN models are found to successfully predict PV output power with root mean square error (RMSE) of 1.5565, which was used as a measure of our model’s accuracy. This ANN model also outperforms other models available in the literature. This will have a noteworthy contribution in scaling the PV deployment in countries such as India and Malaysia and will increase the share of PV power in their national power production, as it would give the industry and the two countries an idea as to how the predicted output PV power would vary based on weather conditions, such as temperature.

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“…A combined visualization of monthly unit/kWp simulated and actual generation has been carried out, considering the methodologies detailed in [43][44][45][46][47] and illustrated in Figure 14. It can be easily visualized that in the summer months, the two seasonal Plant-2 performs better as compared to the fixed tilt plant in both simulation and actual, and it satisfies the design of PV plants on an annual basis.…”

Section: Impact Of Tilt Angle On Yearly Plant Performancementioning

confidence: 99%

Performance Evaluation of a MW-Size Grid-Connected Solar Photovoltaic Plant Considering the Impact of Tilt Angle

Sharma

Mahela²,

Hussien

et al. 2022

Sustainability

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This paper presents a study for the estimation of generation from a large-scale, grid-interfaced solar PV plant using the PVsyst software. This study aims to investigate the effect of tilt angle on the performance of the grid-integrated solar PV plant. Two types of tilt angle test plants, i.e., a fixed tilt angle of 30° (1 MW) and two seasonal tilt angles, in summer 13° and in winter 30° (2.5 MW), have been selected at the same location in Bikaner, India. The performance of the proposed test solar power plants, rated at 1 MW (fixed tilt angle) and 2.5 MW (two seasonal tilt angles), is established by comparing the results obtained using the PVsyst software with the practical data of annual solar insolation. It is established that the radiation incident on PV modules will increase by 2.41% if two seasonal tilt angles are considered. Hence, the annual capacity utilization factor (CUF) has increased by 0.26%. Furthermore, it is established that the proposed method’s performance is superior compared to the statistical methods reported in the literature.

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Energy performance and loss analysis of 100 kWp grid-connected rooftop solar photovoltaic system

Cited by 22 publications

References 17 publications

Solar Photovoltaic Home Systems in Malaysia: A Comprehensive Review and Analysis

Solar Photovoltaic Home Systems in Malaysia: A Comprehensive Review and Analysis

Machine Learning Based Prediction of Output PV Power in India and Malaysia with the Use of Statistical Regression

Performance Evaluation of a MW-Size Grid-Connected Solar Photovoltaic Plant Considering the Impact of Tilt Angle

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