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dc.contributor.advisorBarabadi, Abbas
dc.contributor.authorMustafa, Albara
dc.date.accessioned2023-02-27T09:20:25Z
dc.date.available2023-02-27T09:20:25Z
dc.date.embargoEndDate2028-03-13
dc.date.issued2023-03-13
dc.description.abstractWind energy conversion systems such as wind farms are growing in numbers and capacity all over the globe. The onshore wind energy generation sector witnessed an increase of approximately 144 TWh during 2020, with onshore wind farms capacity addition of 108 GW, which is twice as much as the added capacity during 2019 (IEA, 2021). This staggering increase in capacity imposes higher needs for improved methodologies and expertise, in measuring the performance of wind farms and improving it. Cold climate regions are known to have an appealing potential for attracting wind farms installation and investments. However, the weather conditions in the cold climate regions impose risks and challenges to the operation and maintenance of wind turbines, and to the workers at the wind farms. Another challenge prevails in the lack of data and expertise related to wind energy projects in cold climate regions, due to the fact that wind farms instalments are relatively new in these regions. In addition, parts of the cold climate regions, such as the Arctic region, are known for their sensitive environment, and industrial projects could impact that sensitivity. The risks and challenges discussed in this thesis can be classified in different ways, there are risks that are induced by the weather conditions that affect the operation and performance of wind turbines, such as the reliability, availability and maintainability of the wind turbines, and there are the risks that are induced by the wind farms that will affect the societal, the economic, and the environmental status of the surroundings of the wind farms. This thesis introduces applicable methodologies that can be used to measure performance-related aspects of wind farms in cold climate regions, on different levels and operating under different scenarios. Moreover, in a performance-related context, a methodology for measuring the resilience of wind farms facing disruptive events is introduced, and lastly the different risks related to the operation of wind farms in cold climate regions are identified and analyzed through a methodology that allows for proper ranking of risks to prioritize the measures that can be used to mitigate those risks.en_US
dc.description.doctoraltypeph.d.en_US
dc.description.popularabstractWind farms in cold climate regions are subject to various challenges and risks that affect their performance. The performance of wind farms can be discussed from different aspects and can include both the technical and sustainability indicators. This thesis proposed a methodology to develop an overall performance index and applied it to wind farms in northern Norway, which can help in allocating the performance indicator(s) that need(s) to be improved. In addition, using the concept of conditional probability, and Bayesian network models, the resilience of wind farms in cold climate can be measured under predefined operational scenarios. The proposed model helps in setting the desired resilience t a certain level and calculate how much each contributing factor to resilience should be improved. Lastly, the thesis identified and analyzed 6 risks related the to the operation of wind farms in cold climate regions, using fuzzy logic concept. The methodology was applied to a wind farm in the Arctic region of Norway, and the identified risks were ranked according to the resulting risks levels.en_US
dc.identifier.isbn978-82-8236-514-7 - printed version
dc.identifier.isbn978-82-8236-515-4 - PDF
dc.identifier.urihttps://hdl.handle.net/10037/28610
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.relation.haspart<p>Paper 1: Mustafa, A.M., Barabadi, A., Markeset, T. & Naseri, M. (2021). An overall performance index for wind farms: a case study in Norway Arctic region. <i>International Journal of System Assurance Engineering and Management, 12</i>, 938–950. Also available in Munin at <a href=https://hdl.handle.net/10037/21394> https://hdl.handle.net/10037/21394</a>. <p>Paper 2: Mustafa, A.M. & Barabadi, A. (2021). Resilience Assessment of Wind Farms in the Arctic with the Application of Bayesian Networks. <i>Energies, 14</i>(15), 4439. Also available in Munin at <a href=https://hdl.handle.net/10037/21897>https://hdl.handle.net/10037/21897</a>. <p>Paper 3: Mustafa, A.M. & Barabadi, A. (2022). Criteria-Based Fuzzy Logic Risk Analysis of Wind Farms Operation in Cold Climate Regions. <i>Energies, 15</i>(4), 1335. Also available in Munin at <a href=https://hdl.handle.net/10037/24587>https://hdl.handle.net/10037/24587</a>. <p>Paper 4: Mustafa, A.M., Barabadi, A. & Markeset, T. (2019). Risk assessment of wind farm development in ice proven area. <i>Proceedings of the 25th International Conference on Port and Ocean Engineering under Arctic Conditions (POAC), June 9-13, 2019, Delft, The Netherlands</i>. Also available in Munin at <a href=https://hdl.handle.net/10037/17969>https://hdl.handle.net/10037/17969</a>. <p>Paper 5: Mustafa, A., Markeset, T. & Barabadi, A. (2020). Wind Turbine Failures Review and Gearbox Condition Monitoring. <i>Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, Venice, Italy</i>. Published version not available in Munin due to publisher’s restrictions. Published version available at <a href=https://www.rpsonline.com.sg/proceedings/esrel2020/html/5784.xml>https://www.rpsonline.com.sg/proceedings/esrel2020/html/5784.xml</a>. <p>Paper 6: Mustafa, A.M., Markeset, T. & Barabadi, A. (2020). Downtime Cost Estimation: A Wind Farm in the Arctic Case Study. <i>Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, Venice, Italy</i>. Published version not available in Munin due to publisher’s restrictions. Published version available at <a href=https://www.rpsonline.com.sg/proceedings/esrel2020/html/5832.xml>https://www.rpsonline.com.sg/proceedings/esrel2020/html/5832.xml</a>.en_US
dc.rights.accessRightsembargoedAccessen_US
dc.rights.holderCopyright 2023 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subjectVDP::Technology: 500::Industrial and product design: 640en_US
dc.subjectVDP::Teknologi: 500::Industri- og produktdesign: 640en_US
dc.subjectVDP::Technology: 500::Mechanical engineering: 570en_US
dc.subjectVDP::Teknologi: 500::Maskinfag: 570en_US
dc.titleRisk and Resilience Assessment of Wind Farms Performance in Cold Climate Regionsen_US
dc.typeDoctoral thesisen_US
dc.typeDoktorgradsavhandlingen_US


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