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http://dx.doi.org/10.5855/ENERGY.2016.25.3.114

A Study on Constructing Bottom-up Model for Electric Sector  

Kim, Hugon (Dept. of Business Administration, Kyungsung University)
Paik, Chunhyun (Department of Industrial Management Engineering, Dongeui University)
Chung, Yongjoo (Department of e-Business, Busan University of Foreign Studies)
Ahn, Younghwan (Climate Change Policy Research Group, Energy Economics Institute)
Publication Information
Journal of Energy Engineering / v.25, no.3, 2016 , pp. 114-129 More about this Journal
Abstract
Since the release of mid-term domestic GHG goals until 2020, in 2009, some various GHG reduction policies have been proposed to reduce the emission rate about 30% compared to BAU scenario. 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. The bottom-up model for electric sector requires demand management, regeneration energy mix, fuel conversation, etc., thus it has a very complex aspect to estimate some various policies. In this paper, we suggest a bottom-up BAU model for electric sector and how we can build it through step-by-step procedures such that includes load region, hydro-dam and pumping storage.
Keywords
GHG abatement policy; bottom-up modeling; linear programming;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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