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Decision support method for cost-effective emission control on a regional scale

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  • Piotr Holnicki
  • Andrzej Kałuszko

Abstract

In the paper an implementation of a decision support algorithm for selection of emission abatement strategy on a regional scale is presented. The approach refers to optimal allocation of financial means for emission reduction in a given set of power and heating plants. The implementation considered is sulfur-oriented. The problem is formally stated as cost-constrained minimization of environmental damage function by the optimal choice of desulfurization technologies, within the set of the controlled plants. The receptor-oriented objective function utilizes air pollution forecast preprocessed by a regional scale dispersion model. An heuristic algorithm is implemented to solve the optimization problem. This is the improved and more general version of the method discussed earlier in [1]. Compared with that version, the cost constraints are considered in a more realistic form; two components of the total costs – investment and operational – are considered individually for each power plant and for the selected emission abatement technology. This requires a special construction of the optimization algorithm. Computational test results are presented for the set of the major power plants in the Silesia Region. Copyright Kluwer Academic Publishers 2000

Suggested Citation

  • Piotr Holnicki & Andrzej Kałuszko, 2000. "Decision support method for cost-effective emission control on a regional scale," Annals of Operations Research, Springer, vol. 97(1), pages 249-262, December.
    • Handle: RePEc:spr:annopr:v:97:y:2000:i:1:p:249-262:10.1023/a:1018924223828
    DOI: 10.1023/A:1018924223828
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    Cited by:

    1. Boxiao Chen & Erica Klampfl & Margaret Strumolo & Yan Fu & Xiuli Chao & Michael A. Tamor, 2017. "Optimal investment strategies for light duty vehicle and electricity generation sectors in a carbon constrained world," Annals of Operations Research, Springer, vol. 255(1), pages 391-420, August.

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