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

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 p...

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Bibliographic Details
Published in:Energies (Basel) 2012-06, Vol.5 (6), p.1766-1781
Main Authors: Li, Dufeng, Zhang, Yang, Wang, Xianen, Li, Yu, Zhao, Wenjin
Format: Article
Language:English
Subjects:
Carbon dioxide
Carbon sequestration
carbon sink
Clean Development Mechanism forestry project
Climate change
Decision making
Emission standards
Environmental impact
Forestry
interval
Linear programming
Optimization
optimization model
Reforestation
Sustainable development
Trees
uncertainty
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en5061766