The analysis of biomass gas production capacity and carbon emission reduction potential in China
ZHAO Xiao1, CHANG Hua-zhen1, PENG Si-yang1, WANG Wei2, WANG Shu-xiao2, MA Zhong1
1. School of Environment and Natural Resources, Renming University of China, Beijing 100872, China;
2. School of Environment, Tsinghua University, Beijing 100084, China
Based on the regression analysis prediction model and the source classification prediction model, the biomass gas production and the energy structure proportion between 2020 and 2050 were predicted. And the scenarios of carbon emission reduction potential were analyzed. The results showed that the regression analysis had a smaller prediction error, which stepwise regression prediction was 9.34%, slightly less than 13.99% of the multiple linear regression. The source classification model was more accurate. By 2050, biogas would increase by about 176%. And increasing the application of biomass gas in the low-carbon scenario can reduce the carbon emission by 10% in the future scenario, indicating that the vigorous development of biomass gas has a significant positive effect on carbon emission reduction and carbon cycle. Based on the status, we put forward several policy suggestions on economy, technology and market to provide theoretical guidance for further exploring of market potential on biomass gas.
赵晓, 常化振, 彭思洋, 王伟, 王书肖, 马中. 中国生物质燃气产能及碳减排潜力[J]. 中国环境科学, 2018, 38(8): 3151-3159.
ZHAO Xiao, CHANG Hua-zhen, PENG Si-yang, WANG Wei, WANG Shu-xiao, MA Zhong. The analysis of biomass gas production capacity and carbon emission reduction potential in China. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(8): 3151-3159.
G Miskell, J A Salmond, D E Williams. Use of a handheld low-cost sensor to explore the effect of urban design features on local-scale spatial and temporal air quality variability[J]. Science of The Total Environment, 2017,(619):480-490.
[8]
Zhou X, Cai J, Zhao Y, et al. Estimation of residential fine particulate matter infiltration in Shanghai, China[J]. Environmental Pollution, 2017,(233):494-500.
TY Chen, OS Yu, JY Hsu, et al. Renewable energy technology portfolio planning with scenario analysis:Acase study for Taiwan[J]. Energy Policy, 2009,37(8):2900-2906.
[22]
P Schwartz. The Art of the Long View[J]. Currency and Doubleday, 1991.
U.S. Energy Information Administration (EIA). International energy outlook 2013[EB/OL]. http://www.eia.gov/fore-casts/ieo/pdf/0484(2013).pdf,2014-09-02.