Performance Analysis of a Grid-Connected Rooftop Solar Photovoltaic System

Akpolat, Alper Nabi; Dursun, Erkan; Kuzucuoğlu, Ahmet Emin; Yang, Yongheng; Blaabjerg, Frede; Baba, Ahmet Fevzi

doi:10.3390/electronics8080905

Cited by 43 publications

(21 citation statements)

References 24 publications

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“…As the plant capacity increases, the COE also goes down. Alper et al [82] studied a grid-connected rooftop PV system of 84.75kWp capacity (339 monocrystalline modules with 15.37% efficiency) in Turkey. The system produced 90,289 kWh/yr energy annually at a COE of 0.0808USD/kWh and a payback period of 12.52 yrs.…”

Section: European Regionmentioning

confidence: 99%

A comprehensive global review of building integrated photovoltaic systems

Rehman¹,

Aliyu²,

Alhems³

et al. 2021

FME Transactions

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Saudi Arabia has embarked on diversification of its existing energy portfolio through rene wables, mainly solar photovoltaic and thermal, and wind power. This study presents an overview of how different areas around the world utilized building-integrated solar photovoltaic applications to recommend appropriate and suitable options for implementation in Saudi Arabia and the Middle East region. With this objective, the power utility will have three-fold benefits (i) clean and economic power arability for off-grid remotely located dwellings, (ii) cutting down the emissions of greenhouse gases, and (iii) conserving the fixed reserves of fossil fuels, which are being used mainly for power production around the world. The study shows that building-integrated applications are most common in Asian and European countries. Moreover, it is observed that monocrystalline and polycrystalline photovoltaic materials are both technologically and economically suitable for such applications.

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Section: European Regionmentioning

confidence: 99%

A comprehensive global review of building integrated photovoltaic systems

Rehman¹,

Aliyu²,

Alhems³

et al. 2021

FME Transactions

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“…Akpolat, A. N. et al [34] used PVSOL software to perform a simulation study for a project at Marmara University in Istanbul, Turkey. Simulation results showed that the 84.75kWp rooftop solar power system gave positive results.…”

Section: Thanh Ba Nguyen Phuong Hoang Vanmentioning

confidence: 99%

Design, Simulation and Economic Analysis of A Rooftop Solar PV System in Vietnam

Nguyen¹,

Van²

2018

EAI Endorsed Transactions on Energy Web

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Installing a grid-connected rooftop solar system for a household is an important issue; therefore, there are many factors that need to be considered before the installation is decided. The main factors to be noted are the total cost of the installation, the amount of electricity generated as well as the government's support policies for the development of solar energy. This article presents the design, simulation and economic analysis of an 8.36kWp grid-connected rooftop solar power project for a household in Thu Dau Mot City, Vietnam. The study calculates the generated electricity, the efficiency of the Photovoltaic (PV) power system, the ability to reduce the amount of CO2 emitted into the environment and the economic indicators of the project. This research is useful for stakeholders investing in residential rooftop solar PV systems and Vietnam's energy policymakers as well.

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“…Dondariya et al [35] investigated a PV system of 6.4 kW capacity installed on the roof of a building in India but the shading advantage and self-shading effect of the PV modules was not included in their research work. Akpolat et al [36] analyzed a roof integrated PV setup for Marmara University's staff building in Turkey. Their roof integrated PV system achieved a 73% performance ratio.…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Roof-Mounted Photovoltaic System: Artificial Neural Network Optimization of Ground Coverage Ratio

Alghamdi

2021

Energies

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Buildings in hot climate areas are responsible for high energy consumption due to high cooling load requirements which lead to high greenhouse gas emissions. In order to curtail the stress on the national grid and reduce the atmospheric emissions, it is of prime importance that buildings produce their own onsite electrical energy using renewable energy resources. Photovoltaic (PV) technology is the most favorable option to produce onsite electricity in buildings. Installation of PV modules on the roof of the buildings in hot climate areas has a twofold advantage of acting as a shading device for the roof to reduce the cooling energy requirement of the building while producing electricity. A high ground coverage ratio provides more shading, but it decreases the efficiency of the PV system because of self-shading of the PV modules. The aim of this paper was to determine the optimal value of the ground coverage ratio which gives maximum overall performance of the roof-mounted PV system by considering roof surface shading and self-shading of the parallel PV modules. An unsupervised artificial neural network approach was implemented for Net levelized cost of energy (Net-LCOE) optimization. The gradient decent learning rule was used to optimize the network connection weights and the optimal ground coverage ratio was obtained. The proposed optimized roof-mounted PV system was shown to have many distinct performance advantages over a typical ground-mounted PV configuration such as 2.9% better capacity factor, 15.9% more energy yield, 40% high performance ratio, 14.4% less LCOE, and 18.6% shorter payback period. The research work validates that a roof-mounted PV system in a hot climate area is a very useful option to meet the energy demand of buildings.

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Performance Analysis of a Grid-Connected Rooftop Solar Photovoltaic System

Cited by 43 publications

References 24 publications

A comprehensive global review of building integrated photovoltaic systems

A comprehensive global review of building integrated photovoltaic systems

Design, Simulation and Economic Analysis of A Rooftop Solar PV System in Vietnam

Performance Enhancement of Roof-Mounted Photovoltaic System: Artificial Neural Network Optimization of Ground Coverage Ratio

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