Risk Based Maintenance in the Hydroelectric Power Plants

被引:21
作者
Ozcan, Evrencan [1 ]
Yumusak, Rabia [1 ]
Eren, Tamer [1 ]
机构
[1] Kirikkale Univ, Fac Engn, Dept Ind Engn, TR-71450 Kirikkale, Turkey
关键词
maintenance planning; risk-based maintenance; hydroelectric power plant; AHP; TOPSIS; GENETIC ALGORITHMS; GROUPING STRATEGY; DECISION-MAKING; OPTIMIZATION; SELECTION; POLICY; PRIORITIZATION; INDUSTRY; TOPSIS; AHP;
D O I
10.3390/en12081502
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this study, maintenance planning problem is handled in one of the hydroelectric power plants which directly affect Turkey's energy supply security with a fifth share in the total generation. In this study, a result is obtained by taking into consideration the multi-objective and multi-criteria structure of the maintenance planning in the hydroelectric power plants with thousands of complex equipment and the direct effect of this equipment on uninterrupted and low-cost electricity generation. In the first stage, the risk levels of the equipment in terms of the power plant are obtained with the combination of AHP (Analytical Hierarchy Process) and TOPSIS (technique for order preference by similarity to ideal solution) which are frequently used in the literature due to their advantages. Department-based maintenance plans of all equipment for periodic and revision maintenance strategies are formed by integrating these values into the time allocated for maintenance and the number of employees constraints. As a result of the application of this methodology which is designed for the first time in the literature with the integration of multi-criteria decision-making methods for the maintenance planning problem in a hydroelectric power plant, all elements that prevent the sustainable energy supply in the power plant are eliminated.
引用
收藏
页数:22
相关论文
共 56 条
[1]   A review on condition-based maintenance optimization models for stochastically deteriorating system [J].
Alaswad, Suzan ;
Xiang, Yisha .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 157 :54-63
[2]  
Albayrak B., 2016 YL BUTCE SUNUMU
[3]  
[Anonymous], EKON LETME SIYASET V
[4]  
Arba M., 2016, POLITEK DERG, V19, P163
[5]   Risk-based maintenance - Techniques and applications [J].
Arunraj, N. S. ;
Maiti, J. .
JOURNAL OF HAZARDOUS MATERIALS, 2007, 142 (03) :653-661
[6]   Risk-based maintenance policy selection using AHP and goal programming [J].
Arunraj, N. S. ;
Maiti, J. .
SAFETY SCIENCE, 2010, 48 (02) :238-247
[7]   Risk-based maintenance planning of subsea pipelines through fatigue crack growth monitoring [J].
Arzaghi, Ehsan ;
Abaei, Mohammad Mahdi ;
Abbassi, Rouzbeh ;
Garaniya, Vikram ;
Chin, Christopher ;
Khan, Faisal .
ENGINEERING FAILURE ANALYSIS, 2017, 79 :928-939
[8]   A unique fuzzy multi-criteria decision making: computer simulation approach for productive operators' assignment in cellular manufacturing systems with uncertainty and vagueness [J].
Azadeh, Ali ;
Nazari-Shirkouhi, Salman ;
Hatami-Shirkouhi, Loghman ;
Ansarinejad, Ayyub .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 56 (1-4) :329-343
[9]  
Backlund F., 2002, Journal of Quality in Maintenance Engineering, V8, P77, DOI [DOI 10.1108/13552510210420603, 10.1108/13557510710420603]
[10]  
Baeme H., 2003, HIDROELEKTRIK SANTRA