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An Optimization Model of Carbon Sinks in CDM Forestry Projects Based on Interval Linear Programming

Author

Listed:
  • Dufeng Li

    (College of Environment and Resources, Jilin University, Changchun 130012, China)

  • Yang Zhang

    (Research Academy of Energy and Environmental Studies, North China Electric Power University, Beijing 102206, China)

  • Xianen Wang

    (College of Environment and Resources, Jilin University, Changchun 130012, China)

  • Yu Li

    (Research Academy of Energy and Environmental Studies, North China Electric Power University, Beijing 102206, China)

  • Wenjin Zhao

    (College of Environment and Resources, Jilin University, Changchun 130012, China)

Abstract

This study describes the first general optimization model for complex systems with uncertain parameters and decision variables represented as intervals in CDM forestry projects. We work through a specific example of the optimization method developed for a Clean Development Mechanism (CDM) forestry project in Inner Mongolia, China. This model is designed to optimize the carbon sink capacity of the new forests, and can deal with uncertainties in the carbon sink capacity, average annual rainfall, ecological parameters, and biological characteristics of tree species. The uncertain inputs are presented in the form of intervals, as are several of the optimized output variables. Compared with the project’s originally recommended scheme, the optimized model will absorb and fix between 1,142 and 885,762 tonnes of extra carbon dioxide. Moreover, the ecological and environmental benefits of the project are also raised to various extents.

Suggested Citation

  • Dufeng Li & Yang Zhang & Xianen Wang & Yu Li & Wenjin Zhao, 2012. "An Optimization Model of Carbon Sinks in CDM Forestry Projects Based on Interval Linear Programming," Energies, MDPI, vol. 5(6), pages 1-16, June.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:6:p:1766-1781:d:18307
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    References listed on IDEAS

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