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Related Concept Videos

Power Factor Correction01:20

Power Factor Correction

473
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
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Bioremediation00:46

Bioremediation

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Bioremediation is the use of prokaryotes, fungi, or plants to remove pollutants from the environment. This process has been used to remove harmful toxins in groundwater as a byproduct of agricultural run-off and also to clean up oil spills.
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  1. Home
  3. Research Domains
  5. Engineering
  7. Environmental Engineering
  9. Air Pollution Modelling And Control
  11. Study On The Synergistic Approach To Pollution And Carbon Emissions Reduction Of Power Generation Industry In Anhui Province, China.
  1. Home
  3. Research Domains
  5. Engineering
  7. Environmental Engineering
  9. Air Pollution Modelling And Control
  11. Study On The Synergistic Approach To Pollution And Carbon Emissions Reduction Of Power Generation Industry In Anhui Province, China.

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Study on the Synergistic Approach to Pollution and Carbon Emissions Reduction of Power Generation Industry in Anhui Province, China.

Lei Wu1,2,3, Weiwei Zhu3, Jing Qian1,2

  • 1Anhui Provincial Academy of Eco-Environmental Science Research, Hefei 230061, China.

ACS Omega
|November 17, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Implementing clean coal technology, improving efficiency, and substituting clean energy in Anhui

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Area of Science:

  • Environmental Science
  • Energy Policy
  • Climate Change Research

Background:

  • The power generation sector is a major source of greenhouse gas emissions and air pollutants.
  • Environmental protection efforts increasingly target the energy sector.
  • Anhui Province's power generation industry faces significant emission reduction challenges.

Purpose of the Study:

  • To forecast carbon dioxide and air pollutant emissions in Anhui's power sector.
  • To evaluate the effectiveness of various emission reduction strategies.
  • To identify optimal synergistic measures for pollution and carbon reduction.

Main Methods:

  • Utilized the Logarithmic Mean Divisia Index (LMDI) decomposition model.
  • Employed the Long-range Energy Alternatives Planning (LEAP) model.
  • Developed five distinct emission reduction scenarios for forecasting.

    • Main Results:

    • Peak emissions of CO2 and air pollutants projected for 2027 under comprehensive measures.
    • Combined strategies of clean coal tech, efficiency improvements, and clean energy substitution show optimal reduction.
    • Synergistic implementation of these measures yields the highest emission reduction contribution.

    Conclusions:

    • Comprehensive emission reduction strategies are most effective for Anhui's power sector.
    • Simultaneous adoption of clean coal, efficiency, and clean energy is the optimal path.
    • Findings offer policy recommendations for regional and national pollution and carbon reduction efforts.