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The Model of Solar Power Plant Efficiency Improvement: A Case Study in Lampang, Thailand

Published: 26 December 2018 Publication History

Abstract

This research studies the factors influencing the efficiency of solar power plants to form a control system for increasing their performance. The case study is conducted in Lampang province, Thailand. The investigated factors include irradiance, humidity, wind speed, ambient temperature, module temperature and power peak. All the data are analysed correlating with the electric power. The results show that the major factor influencing the solar power plants is irradiance. The efficiency also depends on cleaning or dirty of panel. Therefore, solar power plants efficiency could be improved by periodically cleaning. The decision point of cleaning is analysed. It is used to create the program model. The module temperature influences on the energy generation. If the module temperature increases, the generated energy decreases. On the other hand, humidity, wind speed, ambient temperature and power peak had less significant effect on solar energy generation. After panel cleaning, generated energy is increased about 5.6%-12.7% a month or approximately 6,780--15,240 kW-hour per month. Finally, the income per unit is 0.19 USD and the value return is 4.5 times of investment cost.

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  1. The Model of Solar Power Plant Efficiency Improvement: A Case Study in Lampang, Thailand

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    RCAE 2018: Proceedings of the 2018 International Conference on Robotics, Control and Automation Engineering
    December 2018
    193 pages
    ISBN:9781450361026
    DOI:10.1145/3303714
    © 2018 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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    • China University of Geosciences
    • TU: Tianjin University
    • Beijing University of Technology

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 December 2018

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    Author Tags

    1. Solar power plant
    2. efficientcy control
    3. electricity
    4. renewable energy
    5. solar cell

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