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Research on Increasing the Performance of Wind Power Plants for Sustainable Development

Author

Listed:
  • Adriana Florescu

    (Faculty of Technological Engineering and Industrial Management; Transilvania University of Brasov, 500222 Brasov, Romania)

  • Sorin Barabas

    (Faculty of Technological Engineering and Industrial Management; Transilvania University of Brasov, 500222 Brasov, Romania)

  • Tiberiu Dobrescu

    (Faculty on Engineering and Management of Technological Systems; University Polytechnic of Bucharest, 060040 Bucharest, Romania)

Abstract

A topical issue globally is the development and implementation of renewable energy sources for sustainable development. To meet current requirements, the research in this paper is directed towards finding solutions to increase the performance and efficiency of wind power plants by implementing innovative solutions for hollow roller bearings developed through the use of sustainable growth programs in the field of green energy. Another solution that has the effect of increasing wind power performance consists of the implementation of a new large-size lubrication system for large-size bearings in wind energy units, which will increase their durability by developing maintenance capabilities. In this research, we will explore the possibility of introducing an innovative automated lubrication system in hollow roller bearings. The main results of the research, the innovative constructive solutions, will lead to important savings by lowering wind farm maintenance costs, increasing the durability of large bearings, and increasing the energy efficiency and yield of the whole system. The expected impact of implementing the solutions found will mainly be in the field of sustainable growth and environmental development.

Suggested Citation

  • Adriana Florescu & Sorin Barabas & Tiberiu Dobrescu, 2019. "Research on Increasing the Performance of Wind Power Plants for Sustainable Development," Sustainability, MDPI, vol. 11(5), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1266-:d:209581
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    References listed on IDEAS

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    1. Martin, Rebecca & Lazakis, Iraklis & Barbouchi, Sami & Johanning, Lars, 2016. "Sensitivity analysis of offshore wind farm operation and maintenance cost and availability," Renewable Energy, Elsevier, vol. 85(C), pages 1226-1236.
    2. Kumar, Yogesh & Ringenberg, Jordan & Depuru, Soma Shekara & Devabhaktuni, Vijay K. & Lee, Jin Woo & Nikolaidis, Efstratios & Andersen, Brett & Afjeh, Abdollah, 2016. "Wind energy: Trends and enabling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 209-224.
    3. Paul Calanter, 2018. "The Role Of Renewable Energy In The Activity Of Combating Climate Change In The European Union," Euroinfo, Institute for World Economy, Romanian Academy, vol. 2(5), pages 19-31, May.
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    Cited by:

    1. Hanieh Seyedhashemi & Benoît Hingray & Christophe Lavaysse & Théo Chamarande, 2021. "The Impact of Low-Resource Periods on the Reliability of Wind Power Systems for Rural Electrification in Africa," Energies, MDPI, vol. 14(11), pages 1-18, May.
    2. Jinjing An & Guoping Chen & Zhuo Zou & Yaojie Sun & Ran Liu & Lirong Zheng, 2021. "An IoT-Based Traceability Platform for Wind Turbines," Energies, MDPI, vol. 14(9), pages 1-17, May.
    3. Francisco Rubio & Carlos Llopis-Albert & Ana M. Pedrosa, 2023. "Analysis of the Influence of Calculation Parameters on the Design of the Gearbox of a High-Power Wind Turbine," Mathematics, MDPI, vol. 11(19), pages 1-19, September.
    4. Cristian Velandia-Cardenas & Yolanda Vidal & Francesc Pozo, 2021. "Wind Turbine Fault Detection Using Highly Imbalanced Real SCADA Data," Energies, MDPI, vol. 14(6), pages 1-26, March.
    5. Shengjin Wang & Hongru Yang & Quoc Bao Pham & Dao Nguyen Khoi & Pham Thi Thao Nhi, 2020. "An Ensemble Framework to Investigate Wind Energy Sustainability Considering Climate Change Impacts," Sustainability, MDPI, vol. 12(3), pages 1-17, January.
    6. Gorg Abdelmassih & Mohammed Al-Numay & Abdelali El Aroudi, 2021. "Map Optimization Fuzzy Logic Framework in Wind Turbine Site Selection with Application to the USA Wind Farms," Energies, MDPI, vol. 14(19), pages 1-15, September.

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