A Mathematical Structure and Formulation of Bottom-up Model based on Linear Programming

온실가스감축정책 평가를 위한 LP기반 상향식 모형의 수리 구조 및 정식화에 대한 연구

  • Received : 2014.09.17
  • Accepted : 2014.12.04
  • Published : 2014.12.31


Since the release of mid-term domestic GHG goals until 2020, in 2009, some various GHG reduction policies have been proposed. There are two types of modeling approaches for identifying options required to meet greenhouse gas (GHG) abatement targets and assessing their economic impacts: top-down and bottom-up models. Examples of the bottom-up optimization models include MARKAL, MESSAGE, LEAP, and AIM, all of which are developed based on linear programming (LP) with a few differences in user interface and database utilization. In this paper, we suggest a simplified LP formulation and how can build it through step-by-step procedures.


Supported by : 경성대학교


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