Abstract
In this paper, the environmental cost and environmental benefit evaluation system of circulating fluidized bed (CFB) technology is established by analyzing the environmental damage caused by coal-fired power generation and comparing circulating fluidized bed boilers with ordinary coal-fired boilers. Among them, the environmental cost is mainly the cost of desulfurization equipment and sellout equipment. Environmental benefits include internal environmental benefits and external environmental benefits. The internal environmental benefits mainly include the cost savings from desulfurization and denitrification to reduce the emission of polluting gases and the benefits from the comprehensive utilization of the ash from the circulating fluidized bed boiler. The external environmental benefits mainly include the reduction of occupied farmland, the emission of waste gas caused by spontaneous combustion of coal gangue and the pollution of water resources. After measuring the environmental costs and benefits of CFB technology, this paper further estimated its value. On this basis, particle swarm optimization (PSO) with extreme learning machine (ELM) intelligent algorithm was used to predict the scenario of thermal power generation and evaluate the environmental benefits of CFB units in the future through further calculation.
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