Priority analysis for risk factors of equipment in a hydraulic turbine generator unit |
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| Institution: | 1. Institute of Water Resources and Hydropower Research, Northwest A&F University, Shaanxi, Yangling, 712100, PR China;2. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Shaanxi, Yangling, 712100, PR China;3. The Yellow River Electric Power Maintenance Engineering Co Ltd, Qinghai, Xining, 810000, PR China;4. China Institute of Water Resources and Hydropower Research, Beijing, 100048, PR China;5. Department of Energy Systems, SINTEF Energy Research, Trondheim, Norway;6. Institute for Risk and Uncertainty, Chadwick Building, University of Liverpool, Peach Street, Liverpool, L69 7ZF, United Kingdom;1. Instituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, Camino de Vera s/n, 46022 València, Spain;2. Departamento de Matemática Aplicada, Universitat Politècnica de València, Camino de Vera s/n, 46022 València, Spain;1. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A & F University, Yangling, Shaanxi 712100, PR China;2. Institute of Water Resources and Hydropower Research, Northwest A&F University, Yangling, Shaanxi 712100, PR China;3. Australasian Joint Research Centre for Building Information Modelling, School of Built Environment, Curtin University, WA 6102, Australia;4. School of Mechanical Engineering, University of Tehran, Tehran 11155-4563, Iran;1. CRRC Zhuzhou Electric Locomotive Research Institute Co., Ltd., Huazhong University of Science and Technology, Wuhan 430074, China;2. School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;1. Dipartimento di Ingegneria, University of Messina, Contrada Di Dio, 98166, Messina, Italy;2. Dipartimento Innovazioni Tecnologiche, Centro Ricerca, INAIL, via Fontana Candida, 1, Monteporzio, Roma, Italy;1. State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China;2. China Three Gorges Corporation, Beijing 100038, China;3. School of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China;4. College of Computer and Information, Hohai University, Nanjing 210000, China;5. CABR Technology Co., Ltd, China Academy of Building Research, Beijing 100013, China |
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| Abstract: | Ensuring the safe operation of hydropower stations is one of the key challenges for electric generation. Clearly the safe operation of such systems can only be archived with proper and effective maintenance scheduling. The objective of this study is to analyze, rank and prioritize the risk factors responsible for equipment failures of a hydraulic turbine generator unit (HTGU) based on operating data and expert elicitation. Here a simple qualitative risk evaluation model is proposed able to consider seven typical failures in HTGU. The proposed tool is applied for the risk prioritization of equipment failures, e.g. shaft torsion, misalignment, rotating fault, axis bend, runner fault, water guide, and wicket gate of a hydropower station in China. The obtained results have been compared against the actual statistics of equipment failures of a hydropower station in China, considered showing good agreement. All of these results provide theoretical guidance for digitalization realization of equipment failures. |
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| Keywords: | Hydraulic turbine generator unit Priority Risk factors Equipment failures Analytical hierarchy process |
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