Assessment of the biomass energy potentials and environmental benefits of Jatropha curcas L. in Southwest China
文献类型:SCI/SSCI论文
作者 | Liu L.; Zhuang D. F.![]() ![]() |
发表日期 | 2013 |
关键词 | Marginal Land Jatropha Curcas L. Life Cycle Analysis Net Energy Greenhouse Gas Emission Ethanol Life-cycle Fuel Ethanol Inventory |
英文摘要 | Jatropha curcas L. (JCL) is believed to be the most promising tree species used to produce biodiesel in China. Due to its abundant marginal land resource and good meteorological conditions, Southwest China is the major region to develop JCL. With Southwest China being taken as the study area in this paper, multi-factor comprehensive analysis is used to identify marginal land resources suitable to JCL plantation and make suitability assessment, thus obtaining their spatial distribution, suitability degree and total amount. With life cycle analysis (LCA), the life cycle net energy and greenhouse gas emission reduction capacity of marginal land resources with different suitability degrees used to produce biodiesel are investigated. Based on the research results, the life cycle model is expanded to obtain the potentiality of total net energy production and greenhouse gas emission reduction of large-scale plantation of JCL in southwest China. The results show that the area of land resources suitable and moderately suitable for JCL plantation is 1.99 x 10(6) ha and 5.57 x 10(6) ha, respectively. If all of these land resources are put into use, the maximum net production potential of biodiesel from JCL would be 1.51 x 10(8) GJ/a, and the total greenhouse gas emission reduction capacity 1.59 x 10(7) t/a in Southwest China. (C) 2013 Elsevier Ltd. All rights reserved. |
出处 | Biomass & Bioenergy |
卷 | 56 |
页 | 342-350 |
语种 | 英语 |
ISSN号 | 0961-9534 |
源URL | [http://192.168.22.105/handle/311030/30401] ![]() |
专题 | 资源利用与环境修复重点实验室_外文论文 中国科学院地理科学与资源研究所 |
推荐引用方式 GB/T 7714 | Liu L.,Zhuang D. F.,Jiang D.,et al. Assessment of the biomass energy potentials and environmental benefits of Jatropha curcas L. in Southwest China. 2013. |
入库方式: OAI收割
来源:地理科学与资源研究所
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