Analysis of Primary Energy Structure Based on Carbon Emission Reduction Targets and Countermeasures
Available Online December 2016.
- https://doi.org/10.2991/seiem-16.2016.56How to use a DOI?
- Primary energy, Carbon emission reduction, Markov model, GM(1,1) model
- In order to study the feasibility of China's preset reduction targets in 2030, this study uses linear regression model, grey model and Markov model to forecast China's primary energy consumption, the structure of primary energy consumption and carbon dioxide emissions. This paper analyze the possibility of the completion of China's emission reduction targets in 2030 one by one, and the results show that the non-fossil energy development target which Chinese authorities proposed cannot be achieved without extra effort, and the carbon peak objective which Chinese authorities set cannot be achieved naturally. Hence, this paper give countermeasures and suggestions to help achieve the emission reduction targets in 2030.The results of this study have a certain reference value for the development of China's energy policy.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Feng Ren PY - 2016/12 DA - 2016/12 TI - Analysis of Primary Energy Structure Based on Carbon Emission Reduction Targets and Countermeasures BT - Proceedings of the 2016 International Seminar on Education Innovation and Economic Management (SEIEM 2016) PB - Atlantis Press SP - 221 EP - 224 SN - 2352-5398 UR - https://doi.org/10.2991/seiem-16.2016.56 DO - https://doi.org/10.2991/seiem-16.2016.56 ID - Ren2016/12 ER -