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Efficient monitoring and control of wind energy conversion systems using Internet of things (IoT): a comprehensive review

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  • Shivaji Karad

    (NITTTR)

  • Ritula Thakur

    (NITTTR)

Abstract

The necessity of making smart devices, intelligent processing and informative communication has taken the Internet of things (IoT) to a new level. Various industries have been implementing IoT-based services to increase the throughput as well as for information management and analysis. Such IoT-based systems with the use of cloud computing and big data analytics are now approaching toward the field of wind energy, one of the most promising, environment friendly and clean renewable energy sources. In the scenario of the competitive energy market, productivity, efficiency, operating costs and profitability are of prime importance. All these parameters demand a system with the ability to continuously monitor and maintain high performance over the time. That is where Internet of Things (IoT) analytics is seen as a significant technology trend for the sustainable growth of renewable energy sector. This paper discusses the recent trends and use of IoT in energy generation, specifically in relation to wind energy generation. This paper explored various areas of IoT application with respect to WT system such as IoT integration with energy generation system, IoT in wind turbine monitoring and control, maintenance and prediction systems. The prime contribution of this review paper is that it summarizes the current state of the art of IoT-based applications in the wind energy conversion systems.

Suggested Citation

  • Shivaji Karad & Ritula Thakur, 2021. "Efficient monitoring and control of wind energy conversion systems using Internet of things (IoT): a comprehensive review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14197-14214, October.
  • Handle: RePEc:spr:endesu:v:23:y:2021:i:10:d:10.1007_s10668-021-01267-6
    DOI: 10.1007/s10668-021-01267-6
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    References listed on IDEAS

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    1. Pierre Tchakoua & René Wamkeue & Mohand Ouhrouche & Fouad Slaoui-Hasnaoui & Tommy Andy Tameghe & Gabriel Ekemb, 2014. "Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges," Energies, MDPI, vol. 7(4), pages 1-36, April.
    2. Qian, Peng & Zhang, Dahai & Tian, Xiange & Si, Yulin & Li, Liangbi, 2019. "A novel wind turbine condition monitoring method based on cloud computing," Renewable Energy, Elsevier, vol. 135(C), pages 390-398.
    3. Naser Hossein Motlagh & Mahsa Mohammadrezaei & Julian Hunt & Behnam Zakeri, 2020. "Internet of Things (IoT) and the Energy Sector," Energies, MDPI, vol. 13(2), pages 1-27, January.
    4. Bahram Shakerighadi & Amjad Anvari-Moghaddam & Juan C. Vasquez & Josep M. Guerrero, 2018. "Internet of Things for Modern Energy Systems: State-of-the-Art, Challenges, and Open Issues," Energies, MDPI, vol. 11(5), pages 1-23, May.
    5. Bhuiyan, M.M. & Billah, M.M., 2013. "Wind turbine monitoring system using wireless sensor networks," Journal of the Bangladesh Agricultural University, Bangladesh Agricultural University Research System (BAURES), vol. 11.
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    2. Popkova, Elena G. & Bogoviz, Aleksei V. & Lobova, Svetlana V. & DeLo, Piper & Alekseev, Alexander N. & Sergi, Bruno S., 2023. "Environmentally sustainable policies in the petroleum sector through the lens of industry 4.0. Russians Lukoil and Gazprom: The COVID-19 crisis of 2020 vs sanctions crisis of 2022," Resources Policy, Elsevier, vol. 84(C).
    3. M. Bradha & Nagaraj Balakrishnan & A. Suvitha & T. Arumanayagam & M. Rekha & P. Vivek & P. Ajay & V. Sangeetha & Ananth Steephen, 2022. "Experimental, computational analysis of Butein and Lanceoletin for natural dye-sensitized solar cells and stabilizing efficiency by IoT," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8807-8822, June.

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