| Autor: |
Zhang, Yu, Qi, Ershi, Wang, Haiyan |
| Předmět: |
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| Zdroj: |
Environmental Science & Pollution Research; 1/24/2023, Vol. 30 Issue 4, p10297-10311, 15p |
| Abstrakt: |
With the increasingly severe environmental problems, cleaner production has become one of the necessary means to alleviate the problem. The "near-zero emission" technology of thermal power generation is an active attempt of traditional power generation enterprises to further improve the level of clean coal utilization and promote the flue gas emission from conventional management to lean management. The analysis and evaluation of "near-zero emission" technology of thermal power generation in China are conducive to enhancing the scientific understanding of the overall situation of air pollution in China and thus further analyzing the current situation and future development path of thermal power emissions. In this paper, the intelligent prediction algorithm is used to predict and evaluate the emission scale of soot, sulfur dioxide, nitrogen oxides, and other air pollutants in China and the thermal power industry in the future, which reflects the urgency of the promotion of "near-zero emission" of thermal power from the macro level. In addition, based on Evolutionary Game Theory (EGT) and coevolutionary algorithm, the strategy selection of several virtual power generation groups under different policy conditions is simulated around the promotion of "near-zero emission" of thermal power. The results show that the policy subsidy plays an important role in promoting technology popularization. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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