Abstract: As a developing country with a large population, China has its deficiency in energy storage. Since the main energy in China is coal, the environmental problem in China has become very serious. Consequently, the biomass energy has become the focus of the energy development in the future, for the biomass energy is material and easy to restore. Since the progress of the biomass electricity, together with the diversity of the Chinese geography, the newly biomass electricity projects have displayed some new features, thus the assessment of this industry should take into account certain new factors, together with the new method, so as to get the objective conclusion. Collecting the 30 biomass electricity projects, then using BC2 model, AR model and Regional AR model to evaluate these 30 examples, we draw the conclusion that the distribution of the Chinese biomass energy is unbalanced, and in all, the Southern part exceeds the Northern part. Specifically, the Southwest part, Central and Southern part, together with Northeast part are the main area of the biomass energy. Since the resources market and the grid environment are good, the efficiency of these areas is higher. As to the northern part, it is better to improve the market environment and the industry environment, so as to improve the efficiency.

Key words: technical and economic evaluation, industrial Efficiency, DEA, biomass power generation

摘要： 中国作为人口众多的发展中国家,能源相对贫乏,以煤炭为主要燃料的能源结构使中国环境问题日益严重,生物质能源作为物质性、易储存的可再生能源,已经成为中国未来能源发展的重点关注对象。受生物质发电技术的进步及中国地理环境多样性的影响,近年来新兴的生物质发电项目展现出新的特点,对该产业效率进行评价时需要考虑新的因素,并采用新的方法,评价结果才能客观,作为改进产业的参考依据。收集中国2010年以来建设的生物质发电项目,选择合适30家生物质发电项目作为样本,分别运用BC2模型、AR模型和分地区AR模型对这30家样本进行评价,发现中国生物质能总体上分布不均,地区差异较大,西南地区、中南地区和华东地区等地是我国生物质能的主要分布区,由于外部燃料资源市场和电网环境较好,因而这些区域产业效率普遍水平较高。对于北方地区生物质产业发展来说,市场和产业环境的改善对效率提高更有帮助。

关键词: 技术经济评价, 产业效率, 数据包络分析, 生物质发电