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An overall performance index for wind farms: a case study in Norway Arctic region

Author

Listed:
  • Albara M. Mustafa

    (UiT The Arctic University of Norway)

  • Abbas Barabadi

    (UiT The Arctic University of Norway)

  • Tore Markeset

    (University of Stavanger)

  • Masoud Naseri

    (UiT The Arctic University of Norway)

Abstract

Wind farms (WFs) experience various challenges that affect their performance. Mostly, designers focus on the technical side of WFs performance, mainly increasing the power production of WFs, through improving their manufacturing and design quality, wind turbines capacity, their availability, reliability, maintainability, and supportability. On the other hand, WFs induce impacts on their surroundings, these impacts can be classified as environmental, social, and economic, and can be described as the sustainability performance of WFs. A comprehensive tool that combines both sides of performance, i.e. the technical and the sustainability performance, is useful to indicate the overall performance of WFs. An overall performance index (OPI) can help operators and stakeholders rate the performance of WFs, more comprehensively and locate the weaknesses in their performance. The performance model for WFs, proposed in this study, arranges a set of technical and sustainability performance indicators in a hierarchical structure. Due to lack of historical data in certain regions where WFs are located, such as the Arctic, expert judgement technique is used to determine the relative weight of each performance indicator. In addition, scoring criteria are predefined qualitatively for each performance indicator. The weighted sum method makes use of the relative weights and the predefined scoring criteria to calculate the OPI of a specific WF. The application of the tool is illustrated by a case study of a WF located in the Norwegian Arctic. Moreover, the Arctic WF is compared to another WF located outside the Arctic to illustrate the effects of Arctic operating conditions on the OPI.

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  • Albara M. Mustafa & Abbas Barabadi & Tore Markeset & Masoud Naseri, 2021. "An overall performance index for wind farms: a case study in Norway Arctic region," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(5), pages 938-950, October.
    • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:5:d:10.1007_s13198-021-01165-0
    DOI: 10.1007/s13198-021-01165-0
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    References listed on IDEAS

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    1. Sima Rastayesh & Lijia Long & John Dalsgaard Sørensen & Sebastian Thöns, 2019. "Risk Assessment and Value of Action Analysis for Icing Conditions of Wind Turbines Close to Highways," Energies, MDPI, vol. 12(14), pages 1-15, July.
    2. John Quigley & Abigail Colson & Willy Aspinall & Roger M. Cooke, 2018. "Elicitation in the Classical Model," International Series in Operations Research & Management Science, in: Luis C. Dias & Alec Morton & John Quigley (ed.), Elicitation, chapter 0, pages 15-36, Springer.
    3. Welch, Jonathan B. & Venkateswaran, Anand, 2009. "The dual sustainability of wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1121-1126, June.
    4. Diaz-Balteiro, L & González-Pachón, J. & Romero, C., 2017. "Measuring systems sustainability with multi-criteria methods: A critical review," European Journal of Operational Research, Elsevier, vol. 258(2), pages 607-616.
    5. Masoud Naseri & Javad Barabady, 2016. "On RAM performance of production facilities operating under the Barents Sea harsh environmental conditions," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(3), pages 273-298, September.
    6. Kucukali, Serhat, 2016. "Risk scorecard concept in wind energy projects: An integrated approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 975-987.
    7. Sovacool, Benjamin K., 2009. "Contextualizing avian mortality: A preliminary appraisal of bird and bat fatalities from wind, fossil-fuel, and nuclear electricity," Energy Policy, Elsevier, vol. 37(6), pages 2241-2248, June.
    8. Koo, Choongwan & Hong, Taehoon & Oh, Jeongyoon & Choi, Jun-Ki, 2018. "Improving the prediction performance of the finite element model for estimating the technical performance of the distributed generation of solar power system in a building façade," Applied Energy, Elsevier, vol. 215(C), pages 41-53.
    9. Samet Ozturk & Vasilis Fthenakis, 2020. "Predicting Frequency, Time-To-Repair and Costs of Wind Turbine Failures," Energies, MDPI, vol. 13(5), pages 1-25, March.
    10. Williamson, S.J. & Stark, B.H. & Booker, J.D., 2014. "Low head pico hydro turbine selection using a multi-criteria analysis," Renewable Energy, Elsevier, vol. 61(C), pages 43-50.
    11. Abigail R Colson & Roger M Cooke, 2018. "Expert Elicitation: Using the Classical Model to Validate Experts’ Judgments," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 113-132.
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    Cited by:

    1. Ashish Kumar & Muskaan Arora & Monika Saini, 2023. "Influence of mathematics on the academic performance of mechanical engineering students: a PLS-SEM approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 367-376, February.
    2. Albara M. Mustafa & Abbas Barabadi, 2022. "Criteria-Based Fuzzy Logic Risk Analysis of Wind Farms Operation in Cold Climate Regions," Energies, MDPI, vol. 15(4), pages 1-17, February.

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