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온실가스 감축기술 빅데이터를 활용한 감축인정량 평가 DB 구축

Development of GHG Reduction Certification Evaluation DB using Greenhouse Gas Reduction Technology using Big Data

  • 투고 : 2020.04.15
  • 심사 : 2020.06.07
  • 발행 : 2020.06.30

초록

Many countries have implemented policies for greenhouse gas (GHG) reduction since the 21st Conference of Parties (COP 21) to the United Nations Framework Convention on Climate Change (UNFCCC) in 2015 where participants voluntarily agreed to a new climate regime, which obligated the world to decrease GHG emissions. Subsequently, reducing GHG emissions with GHG reduction technologies (renewable energy) to decrease energy consumption has become not a choice but a necessity. With the launch of the Korean Emissions Trading Scheme (K-ETS) in 2015, Korea has certified and financed GHG reduction projects as decreased emissions. To help users to make informed decisions for economic and environmental benefits from the use of renewable energy, an assessment model was developed. This study established the simple assessment method and an assessment database (DB) of 1,200 GHG reduction technologies implemented in Korea. Furthermore, we suggested how to evaluate economic benefits which the user may obtain from GHG reduction technologies and validated the assessment DB applicability to a building in Korea.

키워드

과제정보

이 논문은 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임. (No.2015R1A5A1037548)

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