International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Performance Evaluation Of Maximum Power Generation Of A Rooftop Solar Photovoltaic System, Authors : Sheeraz Kirmani, Mohammad Kalimullah, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 6, Issue 5, September - October 2017

Title:
Performance Evaluation Of Maximum Power Generation Of A Rooftop Solar Photovoltaic System
Author Name:
Sheeraz Kirmani, Mohammad Kalimullah
Abstract:
Abstract: Rooftop solar photovoltaic (SPV) system has vast scope in India as the commercial buildings are huge in number. At the national level, the rooftops of commercial buildings would be an alternate of unused and suitable area to make distributed solar power generation viable. Due to high energy demand and climate change, the SPV has attracted the attention of government towards it in recent years and this has vast future scope of energy generation. The actual performance parameter has been identified by filtering and normalization of the solar power plant data installed on the rooftop. This paper presents 15-minute data of 2nd September 2015 to evaluate performance of the solar plant comprises of 20 numbers of solar panel, of cumulative capacity of 2 kW and a weather station. The solar plant comprises the panels of monocrystal, polycrystal and thin film technology installed on the rooftop of faculty of Engineering and Technology building. The performance ratio (PR) of the solar plant has been evaluated by reporting the effect of average temperature, time of hour (TOH), solar irradiance on the power generation and efficiency of the plant. Keywords: high-potential, monocrystal, polycrystalline, solar irradiance, thin film
Cite this article:
Sheeraz Kirmani, Mohammad Kalimullah , " Performance Evaluation Of Maximum Power Generation Of A Rooftop Solar Photovoltaic System " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 6, Issue 5, September - October 2017 , pp. 131-136 , ISSN 2278-6856.
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