Abstract
Countries need to develop sustainable energy policies based on the principles of environmental sensitivity, reliability, efficiency, economy and uninterrupted service and to maintain their energy supply in order to increase their global competitiveness. In addition to this impact of sustainable energy supply on the global world, maintenance processes in power plants require high costs due to allocated time, materials and labor, and generation loss. Thus, the maintenance needs to be managed within a system. This makes analytical and feasible maintenance planning a necessity in power plants. In this context, this study focuses on maintenance strategy optimization which is the first phase of maintenance planning for one of the large-scale hydroelectric power plants with a direct effect on Turkey's energy supply security with its one fifth share in total generation. In this study, a new model is proposed for the maintenance strategy optimization problem considering the multi-objective and multicriteria structure of hydroelectric power plants with hundreds of complex equipment and the direct effect of these equipment on uninterrupted and cost-effective electricity generation. In the model, two multi-criteria decision-making methods, AHP and COPRAS methods, are integrated with integer programming method and optimal maintenance strategies are obtained for 571 equipment.
Highlights
Maintenance is a set of activities to assess and maintain the capabilities of instruments or equipment
Analytic hierarchy process (AHP)-TOPSIS [44] integration is frequently used in the literature for this problem, AHP-Complex Proportional Assessment (COPRAS) combination is used in this study
In the hydroelectric power plant (HPP), which consists of thousands of equipment, electrical equipment was taken into consideration due to the major problems in the transmission of electricity
Summary
Maintenance is a set of activities to assess and maintain the capabilities of instruments or equipment. As maintenance planning is important and costly, it is critical to determine optimal maintenance strategies to be applied to the machine or equipment This is because wrong maintenance strategies applied will generate major obstacles in achieving sustainable generation. It increases the likelihood of equipment failure and leads to high maintenance costs and reduced product quality [26]. Considering many factors such as cost, security of supply and product quality, it can be concluded that determining the maintenance strategies to be applied to the equipment is an indispensable first stage of an effective and feasible maintenance planning. There are many maintenance strategies in the literature: reliability-based maintenance [64], condition-based maintenance [2], risk-based maintenance [48], preventive maintenance [32], predictive maintenance [39], corrective maintenance [60], and lastly
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