As the spread of new and renewable power generation facilities, the fixed investment cost CAPEX(Capital Expenditure) of solar power generation facilities decreases due to continuous technological development, and the impact of O&M costs that deter...
As the spread of new and renewable power generation facilities, the fixed investment cost CAPEX(Capital Expenditure) of solar power generation facilities decreases due to continuous technological development, and the impact of O&M costs that determine investment success has increased. For this reason, the importance of technologies such as accuracy of O&M cost calculation through ICT(Information & Communications Technology), failure prediction, and predictive maintenance have emerged. In the above paper, based on the cost-breakdown structure design and failure rate model design of the solar power generation facility using
engineering estimation method, the maintenance cost of the solar power generation facility, which is a renewable power generation facility, is predicted and the maintenance cost used was compared and confirmed. In addition, the cost-breakdown structure and failure rate model of solar power generation facilities were designed and developed by incorporating them into a new program of economic evaluation of new and renewable power generation facilities. A comparative verification was conducted between the accounting analysis of the standard calculation service of power generation facility maintenance
cost that is currently used in the O&M cost calculation by the power generation company and the new program for the program (Price) used to calculate the O&M cost of military facilities in the United States.
Through this, the cost-breakdown structure, failure rate model, and the reliability of economic evaluation are secured to estimate the exact O&M cost of the solar power plant. It will be possible to secure economic feasibility through optimal operation such as preventive maintenance through securing O&M cost calculation
solutions optimized for the new and renewable energy industry and failure prediction core technology.