Mathematical Constraints Representation for Bottom-Up Approaches to Climate Policy Modeling

Hu Gon Kim; Yong Joo Chung; Chun Hyun Paik

doi:10.4028/www.scientific.net/AMR.734-737.3133

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 734-737Mathematical Constraints Representation for...

Mathematical Constraints Representation for Bottom-Up Approaches to Climate Policy Modeling

Abstract:

For analyzing the effect of GHG abatement policies, bottom-up models including MARKAL, MESSAGE, AIM etc. are widely used. These models are normally based on LP(linear programming) optimization, and are trying to find both the minimal cost combination of technologies and energy flows while satisfying the demands. This study investigates representative constraints needed for analysing GHG abatement policies, proposes how to implement these constraints in bottom-up modeling.

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Periodical:

Advanced Materials Research (Volumes 734-737)

Pages:

3133-3136

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.734-737.3133

Citation:

Cite this paper

Online since:

August 2013

Authors:

Hu Gon Kim, Yong Joo Chung, Chun Hyun Paik

Keywords:

Bottom-up Approach, Climate Policy Modeling, Greenhouse Gas (GHG), Linear Programming, Optimization

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References

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