Abstract
The linear programming (LP) model has been used to identify a cost-effective strategy for reducing CO2 emissions in power plants considering coal washing, pollutant removal, and carbon capture processes, thus CO2 emissions in different production processes can be obtained. The direct emissions (combustion emissions and desulfurization emissions) and indirect emissions (pollutant removal, coal washing, and carbon capture) of CO2 were all considered in the LP model. Three planning periods were set with different CO2 emission control desirability to simulate CO2 emissions of the different reduction requirements. The results can reflect the CO2 emissions across the whole production process of a coal-fired power plant overall. The simulation results showed that for a coal-fired power plant containing two 1000 MW ultra super-critical sets, when the desirability was 0.9, the CO2 total emissions were 2.15, 1.84, and 1.59 million tons for the three planning periods. The research results suggest that the methodology of LP combined with fuzzy desirability function is applicable to represent the whole production process of industry sectors such as coal-fired power plants. The government policy makers could predict CO2 emissions by this method and use the results as a reference to conduct effective industrial and energy structure adjustment.
Highlights
The report of the AR6 Climate Change 2021: The Physical Science Basis has recently been released by the Intergovernmental Panel on Climate Change (IPCC), which suggests that the global surface temperature has increased with a speed much faster than over the 50 years before 1970, which are mainly due to the greenhouse gases released by humans.Due to the experienced high economic growth over the past 40 years, China has become the country with the largest carbon emissions in the world [1,2,3,4,5]
It can be seen that the unit power generating cost had a linear relation with cal, and after the calculation, the coal consumption for generating was 382g/KW·h C4 in 217 the desirability values, and the results suggest that when the desirability value increases this case
3.72 emissions increased with the power generating amounts, the air pollutant emissions intensity of SO2, NOx, and Particulate matter (PM) all decreased with the increase in the planning period, which increases with the planning period due to the pollutants’ removal level
Summary
The report of the AR6 Climate Change 2021: The Physical Science Basis has recently been released by the Intergovernmental Panel on Climate Change (IPCC), which suggests that the global surface temperature has increased with a speed much faster than over the 50 years before 1970, which are mainly due to the greenhouse gases released by humans.Due to the experienced high economic growth over the past 40 years, China has become the country with the largest carbon emissions in the world [1,2,3,4,5]. China is facing tremendous domestic and international pressure to reduce carbon dioxide emissions [5]. In. September 2020, China proposed at the United Nations General Assembly that it would strive to achieve a “carbon neutral” goal by 2060. September 2020, China proposed at the United Nations General Assembly that it would strive to achieve a “carbon neutral” goal by 2060 This displayed China’s determination to reduce the carbon emissions to the global community. The contributions of electricity and heat supply sectors to the total CO2 emissions of China is significant at 4896 Mt while the coal-fired power generation sector contributed to 97% or 4747.9 Mt of carbon dioxide emissions [6]. It is vital that focus is applied to coal-fired power plants and the Sustainability 2021, 13, 11084.
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