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江苏省秸秆类农业生物质能源分布及其利用的效益
引用本文:张兵,张宁,李丹,徐超.江苏省秸秆类农业生物质能源分布及其利用的效益[J].长江流域资源与环境,2012,21(2):181-186.
作者姓名:张兵  张宁  李丹  徐超
作者单位:(南京农业大学经济管理学院,江苏 南京 210095)
基金项目:江苏省利用全球环境基金(GEF)赠款“适应气候变化农业开发”项目(赠款号:TF092393-CN)
摘    要:分析了江苏省秸秆类农业生物质能源在不同作物及地区间的分布状况,并选择3个典型的秸秆发电项目作为案例,采用成本 收益分析、货币价值折算及CDM(清洁发展机制)项目分析等方法,重点研究了江苏省生物质能源利用的经济、资源和环境效益。研究结果表明:江苏省秸秆资源以粮食作物为主,约占918%,全省秸秆资源呈由北向南逐渐递减的阶梯式分布;目前的秸秆发电企业处于亏损状态,最主要的制约因素是秸秆发电等生物质能源产业的资源环境外部性得不到应有的补偿;与燃煤发电相比,秸秆发电节省原煤的同时减少了大量的污染排放,如果其资源环境效益的货币价值得以实现,不仅可以补偿企业的经济亏损,还可为企业带来可观收益;另外,CDM项目为生物质能源产业实现其资源环境价值提供了有效的途径

关 键 词:秸秆类生物质能源  分布  效益  江苏省

DISTRIBUTION AND USE EFFICIENCY OF STRAW BIO-ENERGY IN JIANGSU PROVINCE
ZHANG Bing,ZHANG Ning,LI Dan,XU Chao.DISTRIBUTION AND USE EFFICIENCY OF STRAW BIO-ENERGY IN JIANGSU PROVINCE[J].Resources and Environment in the Yangtza Basin,2012,21(2):181-186.
Authors:ZHANG Bing  ZHANG Ning  LI Dan  XU Chao
Institution:(College of Economice &|Management|Nanjing Agricultural University|Nanjing 210095|China)
Abstract:This paper analyzes the distribution of straw bio-energy in Jiangsu province,and takes three typical straw power projects for example,researches the use efficiency of biomass energy by the way of cost-benefit analysis,converting into monetary value and project analysis.The results show that,the most important straw bio-energy in Jiangsu province is food crops,accounting for 91.8%,and the distribution of straw bio-energy gradually decreasing from north to south.At the present,straw power plants are at a loss,the main reason is that,their resources and environmental compensation are not obtained.Compared with coal-fired power generation,straw power not only saves coal,but also reduces the amount of pollution emissions.If the monetary value of their resources and environmental externalities can be achieved,not only their economic losses can be compensated,but also income could be increased.In addition,CDM project provides an effective way for straw and other biomass energy power generation industry.
Keywords:straw bio-energy  distribution  benefits  Jiangsu province
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