4.7 Article

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

Journal

ENERGY
Volume 254, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2022.124297

Keywords

Carbon emission reduction; Dynamic programming; Multi-objective model; Coal blending method

Ask authors/readers for more resources

The rise in global carbon emissions has led to serious ecological problems and emphasized the importance of sustainable development in coal-fired power plants. This study proposes a hybrid dynamic coal blending method to achieve a trade-off between economic development and environmental protection. The results show that the method can reduce carbon emissions and inhalable particulate matter emissions, and has significance in promoting cleaner production and sustainable coal-fired power plant development.
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 x 10(6 )tonnes) and inhalable particulate matter emissions by 29.7% (0.64 x 10(6) 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. (C) 2022 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available