Generation Expansion Planning Model Supporting Diverse Environmental Policies for Reduction of Greenhouse Gases

Abstract

The purpose of this paper is to a develop model for generation expansion planning that can support diverse environmental policies for the reduction of greenhouse gases (GHGs) of South Korea. South Korea is required to reduce its GHG emissions by 30% from the BAU level by 2020. The Wien Automatic System Planning Package currently used in South Korea has limitations in terms of the application of renewable energy policies and GHG targets; this paper proposes the use of an equipment planning model named generation and transmission expansion program, which has been developed to resolve such limitations. For verification of the model, a case study on the 6th Basic Plan of Long‐Term Electricity Supply and Demand has been conducted. The results show that for the year 2020 South Korea's annual GHG emissions will be 36.6% more than the GHG Target Management System (GHG TMS) target set for the same year (30%). To achieve the GHG TMS target, the costs involved amount to about 72 trillion KRW (70 billion USD). Consequently, the South Korean government needs to review the performability of this target.

Proposal of a Visible Light Communication Method for Personalized and Localized Building Energy Management

“…At the 21st Conference of the Parties, which was held in Paris from November 30 to December 11 2015, representatives from all over the world announced targets to reduce greenhouse gas emissions and curtail climate change. The reduction of greenhouse gases aimed by the Paris agreement is related to fossil-fuel oriented energy consumption based on the continuing trends of rising energy demand [1]. For example, the electricity demand and consumption in the U.S. have increased 2.5% annually over the last 20 years [2].…”

Feasibility Study of the Post-2020 Commitment to the Power Generation Sector in South Korea

“…Lee et al [19] developed a numerical model of reducing GHG in South Korea for power expansion planning to support various environmental policies. The authors identified 36% of GHG could be reduced far over 30% of the 2020 reduction target.…”