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Optimal air pollution control strategies with application to the power generation sector

  • M. Ba-Shammakh
  • , A. Elkamel*
  • , P. Douglas
  • , E. Croiset
  • *Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

Abstract

Economic and industrial developments are expected to be accompanied by an increase in the emissions of air pollutants. These pollutants often have detrimental effects, directly or indirectly, on human health and natural resources. Electricity generation is considered to be one of the main contributing sources to the air pollution problem. It is therefore important to develop and implement effective control strategies to prevent the expected abrupt increase in emissions from this sector. Any control strategy must be suitable for local implementation and must also be economically viable. The main objective of this paper is to present optimization models that can be used to determine the most cost effective strategy or combination of strategies to reduce CO2 emissions to a specific level. Optimization results for an existing network of power plants show that it may be possible to reduce CO2 emissions by increasing power plant efficiency through a variety of adjustments in the plants. These include fuel balancing, fuel switching, and the implementation of improvement technologies to existing power plants to increase their thermal efficiency.

Original languageEnglish
StatePublished - 2006
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 13 - Climate Action
    SDG 13 Climate Action

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Environmental Chemistry
  • Environmental Engineering
  • Global and Planetary Change

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