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A Study on the Impact of Various Meteorological Data on the Design Performance of Rooftop Solar Power Projects in Vietnam: A Case Study of Electric Power University

Author

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  • Manh-Hai Pham

    (Electric Power University, Ministry of Industry and Trade, Hanoi 100000, Vietnam)

  • Vu Minh Phap

    (Institute of Energy Science, Vietnam Academy of Science and Technology, Hanoi 100000, Vietnam
    Faculty of Materials and Energy Sciences, Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Hanoi 100000, Vietnam)

  • Nguyen Ngoc Trung

    (Electric Power University, Ministry of Industry and Trade, Hanoi 100000, Vietnam)

  • Tran Thanh Son

    (Electric Power University, Ministry of Industry and Trade, Hanoi 100000, Vietnam)

  • Duong Trung Kien

    (Electric Power University, Ministry of Industry and Trade, Hanoi 100000, Vietnam)

  • Vu Thi Anh Tho

    (Electric Power University, Ministry of Industry and Trade, Hanoi 100000, Vietnam)

Abstract

People are increasingly using clean energy sources, contributing to environmental protection according to the general trend of the world. In the form of renewable energy, solar energy has contributed to solving current pressing problems, such as environmental pollution and air pollution, improving people’s quality of life. The design of solar power projects in Vietnam is mainly based on meteorological data sources from Meteonorm and NASA. However, the accuracy assessment of two data sources compared to the actual solar power data in Vietnam is not available, so there is no basis to determine better meteorological data source quality to serve the design of rooftop solar power projects. The content of this paper analyzes the simulation results of a typical rooftop solar power station at the Electric Power University, Hanoi city based on meteorological data sources from Meteonorm and NASA. After that, the simulation results will be compared with the actual operating data of a rooftop solar power station near the Electric Power University and other real PV systems in the world. The study results showed that the amount of electricity production using the Meteonorm meteorological data was closer to the actual data than the NASA data source. Therefore, solar power projects in Vietnam should use Meteonorm data source for the design process to determine the best economic and technical efficiency for investors.

Suggested Citation

  • Manh-Hai Pham & Vu Minh Phap & Nguyen Ngoc Trung & Tran Thanh Son & Duong Trung Kien & Vu Thi Anh Tho, 2022. "A Study on the Impact of Various Meteorological Data on the Design Performance of Rooftop Solar Power Projects in Vietnam: A Case Study of Electric Power University," Energies, MDPI, vol. 15(19), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7149-:d:928436
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    References listed on IDEAS

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    1. AlSkaif, Tarek & Dev, Soumyabrata & Visser, Lennard & Hossari, Murhaf & van Sark, Wilfried, 2020. "A systematic analysis of meteorological variables for PV output power estimation," Renewable Energy, Elsevier, vol. 153(C), pages 12-22.
    2. Siti Norasyiqin Abdul Latif & Meng Soon Chiong & Srithar Rajoo & Asako Takada & Yoon-Young Chun & Kiyotaka Tahara & Yasuyuki Ikegami, 2021. "The Trend and Status of Energy Resources and Greenhouse Gas Emissions in the Malaysia Power Generation Mix," Energies, MDPI, vol. 14(8), pages 1-26, April.
    3. Imad Ibrik & Fadia Hashaika, 2019. "Techno-Economic Impact of Grid-Connected Rooftop Solar PV System for Schools in Palestine: A Case Study of Three Schools," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 291-300.
    4. Tung Nguyen Thanh & Phap Vu Minh & Kien Duong Trung & Tuan Do Anh, 2021. "Study on Performance of Rooftop Solar Power Generation Combined with Battery Storage at Office Building in Northeast Region, Vietnam," Sustainability, MDPI, vol. 13(19), pages 1-15, October.
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    1. Kyoik Choi & Jangwon Suh, 2023. "Fault Detection and Power Loss Assessment for Rooftop Photovoltaics Installed in a University Campus, by Use of UAV-Based Infrared Thermography," Energies, MDPI, vol. 16(11), pages 1-16, June.

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