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Factors that influence the performance of wind farms

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  • Santos, Marllen
  • González, Mario

Abstract

This article aims to identify the conditioning factors that influence the operation and maintenance performance of wind farms. The research method included theoretical research and case studies in seven companies that own wind farms. Theoretical research covered the following themes: performance management process; performance measurement in power plants, highlighting the factors that affect performance in this type of industry, and; the characteristics of the Brazilian wind energy market. The case studies were conducted through interviews with managers, whose positions are at the strategic, tactical and operational levels, with the objective of identify the performance management processes existing in wind farms. As a result, it was verified that the performance of wind farms is mainly influenced by 5 factors: (1) Reliability of prospecting studies, (2) Construction quality and assembly, (3) Organizational learning, and (5) Coordination of the value chain.

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  • Santos, Marllen & González, Mario, 2019. "Factors that influence the performance of wind farms," Renewable Energy, Elsevier, vol. 135(C), pages 643-651.
    • Handle: RePEc:eee:renene:v:135:y:2019:i:c:p:643-651
    DOI: 10.1016/j.renene.2018.12.033
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    1. Yang, Hongliang & Pollitt, Michael, 2009. "Incorporating both undesirable outputs and uncontrollable variables into DEA: The performance of Chinese coal-fired power plants," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1095-1105, September.
    2. Özcan, Evren Can & Ünlüsoy, Sultan & Eren, Tamer, 2017. "A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1410-1423.
    3. Pestana Barros, Carlos & Sequeira Antunes, Olinda, 2011. "Performance assessment of Portuguese wind farms: Ownership and managerial efficiency," Energy Policy, Elsevier, vol. 39(6), pages 3055-3063, June.
    4. Mohammad Saidi Mehrabad, 2011. "Targeting performance measures based on performance prediction," International Journal of Productivity and Performance Management, Emerald Group Publishing, vol. 61(1), pages 46-68, December.
    5. Yang, Jin & Chen, Bin, 2013. "Integrated evaluation of embodied energy, greenhouse gas emission and economic performance of a typical wind farm in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 559-568.
    6. Iribarren, Diego & Martín-Gamboa, Mario & Dufour, Javier, 2013. "Environmental benchmarking of wind farms according to their operational performance," Energy, Elsevier, vol. 61(C), pages 589-597.
    7. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "DEA approach for unified efficiency measurement: Assessment of Japanese fossil fuel power generation," Energy Economics, Elsevier, vol. 33(2), pages 292-303, March.
    8. Wang, Zhaohua & Li, Yi & Wang, Ke & Huang, Zhimin, 2017. "Environment-adjusted operational performance evaluation of solar photovoltaic power plants: A three stage efficiency analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1153-1162.
    9. Ederer, Nikolaus, 2015. "Evaluating capital and operating cost efficiency of offshore wind farms: A DEA approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1034-1046.
    10. Serrano González, Javier & Burgos Payán, Manuel & Riquelme Santos, Jesús & González Rodríguez, Ángel Gaspar, 2015. "Maximizing the overall production of wind farms by setting the individual operating point of wind turbines," Renewable Energy, Elsevier, vol. 80(C), pages 219-229.
    11. Jahangoshai Rezaee, Mustafa & Moini, Alireza & Makui, Ahmad, 2012. "Operational and non-operational performance evaluation of thermal power plants in Iran: A game theory approach," Energy, Elsevier, vol. 38(1), pages 96-103.
    12. Sarıca, Kemal & Or, Ilhan, 2007. "Efficiency assessment of Turkish power plants using data envelopment analysis," Energy, Elsevier, vol. 32(8), pages 1484-1499.
    13. Azadeh, A. & Ghaderi, S.F. & Nasrollahi, M.R., 2011. "Location optimization of wind plants in Iran by an integrated hierarchical Data Envelopment Analysis," Renewable Energy, Elsevier, vol. 36(5), pages 1621-1631.
    14. Fallahi, Alireza & Ebrahimi, Reza & Ghaderi, S.F., 2011. "Measuring efficiency and productivity change in power electric generation management companies by using data envelopment analysis: A case study," Energy, Elsevier, vol. 36(11), pages 6398-6405.
    15. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali & Toloo, Mehdi & Ghazizadeh, Mohammad Sadegh, 2016. "Eco-efficiency considering the issue of heterogeneity among power plants," Energy, Elsevier, vol. 111(C), pages 722-735.
    16. Varney, Josephine & Zarrouk, Sadiq J. & Bean, Nigel & Bendall, Betina, 2017. "Performance measures in geothermal power developements," Renewable Energy, Elsevier, vol. 101(C), pages 835-844.
    17. Erguido, A. & Crespo Márquez, A. & Castellano, E. & Gómez Fernández, J.F., 2017. "A dynamic opportunistic maintenance model to maximize energy-based availability while reducing the life cycle cost of wind farms," Renewable Energy, Elsevier, vol. 114(PB), pages 843-856.
    18. Roman Schneider & Rui Vieira, 2010. "Insights from action research: implementing the balanced scorecard at a wind‐farm company," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 59(5), pages 493-507, June.
    19. Li, Xiaodong & Ouelhadj, Djamila & Song, Xiang & Jones, Dylan & Wall, Graham & Howell, Kerry E. & Igwe, Paul & Martin, Simon & Song, Dongping & Pertin, Emmanuel, 2016. "A decision support system for strategic maintenance planning in offshore wind farms," Renewable Energy, Elsevier, vol. 99(C), pages 784-799.
    20. Iglesias, Guillermo & Castellanos, Pablo & Seijas, Amparo, 2010. "Measurement of productive efficiency with frontier methods: A case study for wind farms," Energy Economics, Elsevier, vol. 32(5), pages 1199-1208, September.
    21. Staffell, Iain & Green, Richard, 2014. "How does wind farm performance decline with age?," Renewable Energy, Elsevier, vol. 66(C), pages 775-786.
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    Cited by:

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    2. Muhammad Shahzad Nazir & Fahad Alturise & Sami Alshmrany & Hafiz. M. J Nazir & Muhammad Bilal & Ahmad N. Abdalla & P. Sanjeevikumar & Ziad M. Ali, 2020. "Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend," Sustainability, MDPI, vol. 12(9), pages 1-27, May.
    3. Hussain, Waqar & Khan, Sadia & Mover, Ather Hussain, 2022. "Development of quality, environment, health, and safety (QEHS) management system and its integration in operation and maintenance (O&M) of onshore wind energy industries," Renewable Energy, Elsevier, vol. 196(C), pages 220-233.
    4. Wątróbski, Jarosław & Bączkiewicz, Aleksandra & Sałabun, Wojciech, 2022. "New multi-criteria method for evaluation of sustainable RES management," Applied Energy, Elsevier, vol. 324(C).

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