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An uncertain energy planning model under carbon taxes

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Abstract

In this study, an interval fuzzy mixed-integer energy planning model (IFMI-EPM) is developed under considering the carbon tax policy. The developed IFMIEPM incorporates techniques of interval-parameter programming, fuzzy planning and mixed-integer programming within a general energy planning model. The IFMIEPM can not only be used for quantitatively analyzing a variety of policy scenarios that are associated with different levels of carbon tax policy, but also tackle uncertainties expressed as discrete intervals and fuzzy sets in energy and environment systems. Considering low, medium and high carbon tax rates, the model is applied to an ideal energy and environment system. The results indicate that reasonable solutions have been generated. They can be used for generating decision alternatives and thus help decision makers identify desired carbon tax policy.

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Authors and Affiliations

  1. MOE Key Laboratory of Regional Energy Systems Optimization, S-C Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China

    Hongkuan Zang, Wei Li, Guohe Huang & Dan Liu

  2. Chinese Academy for Environmental Planning, Ministry of Environmental Protection, Beijing, 100012, China

    Yi Xu

Authors
  1. Hongkuan Zang
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  2. Yi Xu
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  3. Wei Li
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  4. Guohe Huang
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  5. Dan Liu
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Correspondence to Wei Li.

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Zang, H., Xu, Y., Li, W. et al. An uncertain energy planning model under carbon taxes. Front. Environ. Sci. Eng. 6, 549–558 (2012). https://doi.org/10.1007/s11783-012-0414-y

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  • DOI: https://doi.org/10.1007/s11783-012-0414-y

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