Carbon Capture System Optimal Allocation In Stages For Power Plant By Using Learning Curve

Global warming has seriously affected the sustainable development of human society,reducing emissions of greenhouse gases,mainly carbon dioxide,can effectively curb this trend.Thermal power of which carbon emissions is huge, is China’s major way of electricity production,it is the ideal means to transform traditional coal-fired power plants into carbon capture plants to achive the goal of high efficiency and large-scale carbon reduction. Currently the development of carbon capture technology is still under immature stage,how to carry out the carbon capture system on the existing thermal power plants is of great significance.This paper has introduced three major carbon capture systems, briefly analysed the change in the thermal power plant operating characteristics after the transformation of carbon capture system and the relevant factors influencing carbon capture,and focused on the basic principles of the learning curve method and its application in the field of energy.Since carbon capture technology and flue gas desulphurization (FGD) technology of coal-fired units have similar learning characteristics,we draw the corresponding learning curve model by analyzing historical data from FGD technology,and then the learning curve model is applied to analog the cost analysis of carbon capture system to predict the trend of the development of carbon capture technology costs; At the same time, the cost of conventional thermal power, the efficiency and other indicators are analyzed to quantify the change of the corresponding indicator after reconstruction. According to the quantitative indicators, combined with carbon capture technology in the demonstration stage, the promotion stage, the trend of cost during commercial operation stage,we have established a optimal allocation of carbon capture system model with the comprehensive system cost, operation and maintenance cost, energy cost of running and total investment cost being minimum as the goal, to meet the demand of emission reduction for each stage constraints and the total emission, and worked out the model by discrete particle swarm optimization (DPSO) algorithm.Through the example simulation,we have worked out the optimum configuration scheme of the power plant carbon capture system in stages during the planning period and analysed the total investment cost, system cost, operation and maintenance cost, energy cost.Finally we can figure out the incremental cost of power and power efficiency losses. Learning curve model’s predicting technology costs for each stage of carbon capture can effectively prevent the waste of carbon capture system configuration without plan.It is of practical significance in engineering that the established carbon capture system provide decision makers with a way of both achiving the carbon emission reduction target and the total investment least.