J4 ›› 2013, Vol. 51 ›› Issue (01): 153-157.

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An Optimal Model for Greenhouse Gas Emission Reduction Based onBiogas Projects in a Scale Farm Replacing the TraditionalMode of Power Generation under Uncertainty

PANG Tianyi1, SUN Zhao2,3, WEN Jingya2,3, DONG Shuang1, ZHAO Wenjin1, LI Yu2,3   

  1. 1. College of Environment and Resources, Jilin University, Changchun 130012, China;2. Resources and Enviroment Research Academy, North China Electric Power University, Beijing 102206, China;3. MOE Key Laboratory of Regional Energy Systems Optimization, North China Electric Power University, Beijing 102206, China
  • Received:2012-05-10 Online:2013-01-26 Published:2013-01-31
  • Contact: ZHAO Wenjin E-mail:zhaowj@jlu.edu.cn

Abstract:

Based on the status and characteristics of the biogas power generation, the authors used the integer programming and the interval linear programming method to develop an optimized GHG emission reduction model for the largest greenhouse gas emission reduction under uncertainty. The case analysis shows that under the requirements of the investment, the operation profits and technology, 211 821.8—247 410.1 t CO2 equivalence could be reduced every year, which is increased by 1146%—30.19% compared with recommended scheme.

Key words: biogas power; , GHG emission reduction, 01 integer programming; , linear programming, uncertainty optimization model

CLC Number: 

  • X32