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基于学习曲线的生物质成型燃料补贴政策研究

许洁 袁振宏 姜洋 李伟振 马隆龙

林产化学与工业2016,Vol.36Issue(2):134-138,5.
林产化学与工业2016,Vol.36Issue(2):134-138,5.DOI:10.3969/j.issn.0253-2417.2016.02.020

基于学习曲线的生物质成型燃料补贴政策研究

Study on Subsidy Policy Based on Learning Curve for Biomass Molding Fuels in China

许洁 1袁振宏 2姜洋 1李伟振 1马隆龙1

作者信息

  • 1. 中国科学院 广州能源研究所,广东 广州 510640
  • 2. 中国科学院 可再生能源与天然气水合物重点实验室,广东 广州 510640
  • 折叠

摘要

Abstract

Through the comprehensive investigation and analysis of the biomass molding fuels ( BMF) industry in China, with combination of the development track and the related targets of the government for this industry, the learning curve for BMF was developed and validated in this study. On the basis of this learning curve, the BMF costs in the future were forecasted, and the formulation of subsidy policy was investigated to achieve the commercialization and utilize the production of 50 million tons BMF in the year of 2020. The results showed that in order to realize the targets, the BMF cost should be lowered to 462 CNY (Chinese Yuan)/ton, at which scenario the learning coefficient is 0. 509 and the learning rate is 70. 2%. For promoting the technological progress, the government should subsidize BMF industry before 2020, the maximal annual subsidy is about 600 million CNY in 2016, and the total subsidy from 2012 to 2020 is about 41. 24 billion CNY.

关键词

生物质成型燃料/学习曲线/补贴政策

Key words

biomass molding fuels/learning curve/subsidy policies

分类

化学化工

引用本文复制引用

许洁,袁振宏,姜洋,李伟振,马隆龙..基于学习曲线的生物质成型燃料补贴政策研究[J].林产化学与工业,2016,36(2):134-138,5.

基金项目

联合国开发计划署-中国生物质成型燃料示范项目(00068721-CPR/13/304) (00068721-CPR/13/304)

可再生能源与能源效率伙伴关系计划项目(108030134) (108030134)

广东省中国科学院全面战略合作项目(2012B09040025) (2012B09040025)

林产化学与工业

OA北大核心CSCDCSTPCD

0253-2417

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