Hybrid dynamic coal blending method to address multiple environmental objectives under a carbon emissions allocation mechanism.

The rise in global carbon emissions has led to serious ecological problems and highlighted the need to better pursue the sustainable development of coal-fired power plants. To reduce environmental pollution, this paper proposes a hybrid dynamic coal blending method under an uncertain environment to achieve a trade-off between economic development and environmental protection. This method fully considers seasonal pollutant variations, a dynamic carbon emissions quota allocation mechanism. A practical case from the Jintang coal-fired powered plant is given to verify the efficiency and practicality of the proposed optimization method. The model allows decision-makers to promote cleaner production by developing coal blending schemes to suit relevant national and local carbon and inhalable particulate matter emissions reduction policies. The results of the sensitivity analysis also confirm this view and show that the model is stable and has emission reduction limits. Specifically, compared with the maximum emissions, the model can reduce carbon emissions by about 29.1% (2.625 × 106 tonnes) and inhalable particulate matter emissions by 29.7% (0.64 × 106 tonnes). The results demonstrated that the hybrid dynamic coal blending method was able to achieve carbon emissions and inhalable particulate matter emissions reductions and that appropriate environmental constraints can improve emissions performance and encourage sustainable CPP development. [Display omitted] • A hybrid dynamic multiple objectives coal blending method is built. • The conflict between economic, ecological, and carbon emission reduction targets has been fully analyzed. • A case study is adopted for illustrating the applicability of the proposed equilibrium approach. • The results found that the model achieved a trade-off between economic benefits and environmental impact. [ABSTRACT FROM AUTHOR]