## Abstract

This study proposes a novel analysis framework to investigate the CO_{2} and SO_{2} emission efficiency, emission reduction potential, and marginal abatement cost (MAC) of 316 coal-fired power plants in China. The comprehensive analysis framework is based on the combined approach of utilizing the directional output distance function (DODF) and parametric linear programming (PLP). The average emission efficiencies of CO_{2} and SO_{2} were 0.48 and 0.61, respectively, which indicates that China's coal-fired power plants have a large potential to reduce CO_{2} and SO_{2} emissions, on average by 52% and 39%, respectively. In 2010, the average CO_{2} and SO_{2} emissions reduction potential for the 316 investigated power plants were 1,517 kt and 3,773 t, respectively. The average MAC prices for CO_{2} and SO_{2} were estimated to be 598 yuan/tonne and 22,401 yuan/tonne, respectively, indicating that the reduction of such emissions is very expensive. Furthermore, I formulated an optimization problem for maximizing CO_{2} and SO_{2} emission reductions under the governmental budget constraint. Solving this optimization problem yielded the total cost for the maximum reductions of CO_{2} and SO_{2} emissions, the maximum possible reductions for CO_{2} and SO_{2} emissions for each allocated budget scale, and the optimal budget allocation for each power plant at a given budget scale. I finally suggest effective mitigation strategies for CO_{2} and SO_{2} emissions generated from China's coal-fired power plants.

Original language | English |
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Article number | 116978 |

Journal | Applied Energy |

Volume | 294 |

DOIs | |

Publication status | Published - Jul 15 2021 |

## All Science Journal Classification (ASJC) codes

- Building and Construction
- Mechanical Engineering
- Energy(all)
- Management, Monitoring, Policy and Law

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