Estimation of Carbon Emissions Price Using Big Data Analysis Method

빅데이터 분석기법을 활용한 탄소배출권 가격 예측

  • 임기성 (인하대학교 건축학부, 건축공학과) ;
  • 박상원 (인하대학교 건축학부, 건축공학과) ;
  • 장지영 (인하대학교 건축학부, 건축공학과) ;
  • 이민우 (인하대학교 건축학부, 건축공학과) ;
  • 한승우 (인하대학교 건축학부)
  • Published : 2019.11.01

Abstract

Globally, South Korea is a country that has a lot of $CO_2$ emissions and has steadily increased its total greenhouse gas emissions since the 1990s. With the recent implementation of the carbon emission trading system in Korea, the importance of calculating $CO_2$ emissions of construction equipment is increasing, hence the need for accurate calculation of environmental penalties through allocating carbon emission rights. This study presents a methodology to predict the price of carbon credits using big data analysis method. This methodology is based on correlating and regression analysis of trends in carbon emission prices and search volumes. This study aims to support faster and more accurate budget calculations in the planning of the construction process based on the predicted price of carbon emission rights.

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