The Optimization Research of Power Generation Equipment Management Based on the Life Cycle Cost
|School||Huazhong University of Science and Technology|
|Course||Thermal Power Engineering|
|Keywords||LCC maintenance optimization equipment management|
In recent years, the power plants in our country are facing with three challenges. First, with global climate warming, the emission of greenhouse gases and other pollution air have been controlled firmly and the country demands the power plant to reduce the carbon and sulfur emissions. Secondly, to build a resource-saving society, the country has strongly advocated energy saving to reduce energy consumption and the power plant was also demanded to running with a low energy consuming index. Thirdly, with the rising of the coal price and the implementation of bidding of electric price, the power plants are facing huge pressure of operation. The above issues are reflected in the investment and operating costs of the power plant, which can expressed by the life cycle cost (LCC). An important measurement to reduce the LCC is an advanced method of equipment management, which was not just in the phase of operation but in the whole life cycle of the equipment accord with the life cycle cost.The paper analyze the cost characteristics of every stage of life cycle and relationship between the stages to find the key stage through the sensitivity analysis method to give a decisions basis for the overall and key management of the power generation equipment.In the design stage, to find out the balance point between the invest cost and the performance of equipment through the design for cost (DFC) with considering the reliability index in the operation stage. In the manufacturing stage, an information platform of supervision was used to achieve a high quality and reduce the maintenance costs laterIn the normal operation stage, to set up maintenance cost model according to the parameters and optimize the maintenance cycle and size through the genetic algorithm .the paper gave a cost– benefit analysis through fuzzy comprehensive evaluation.