生物质能发展是支撑我国能源可持续发展战略的重要举措。因地置宜、合理布局是实现生物质能可持续发展的关键。本研究拟基于区域生物质能的原料空间分布、典型物流模式及能源转化技术，建立基于GIS的区域生物质能潜力、生命周期成本与温室气体排放估算模型；在解析影响生物质能布局的区域特征基础上，构建基于GIS平台和启发式算法的生物质能布局优化模型，以生命周期成本最小化为目标，考虑区域特征、能量平衡、温室气体排放等限制条件，模拟及优化生物质能的区域发展布局。以江苏省秸秆发电为案例，运行及修正以上模型，并通过模拟“物流模式改进、原料收集及能源生产技术改进、多主体补贴、能源价格、运输费率”等管理措施及政策，优化生物质能区域布局及规模。本研究拟解决“在既定区域条件及政策目标下，有效率地规划生物质能的发展布局”问题，对于我国可再生能源发展战略的实现有重要的理论及现实意义。

The development of bioenergy is an important supporting aspect of the strategy of energy sustainable management. Appropriate regional planning under local conditions is the key of achieving the sustainability of bioenergy. Based on the spatial distribution of bioenergy resources, typical feedstock logistic model and current bioenergy conversion technologies, the proposed study is to estimate the volumes and spatial distribution of bioenergy potential, lifecycle cost and greenhouse gases emission. After identifying the regional characteristics which could influence the bioenergy planning and distribution, a metaheuristic algorithm planning method is developed on the GIS platform to construct an optimization model to determine the scale and distribution of the bioenergy system, considering regional characteristics, energy balance conditions and greenhouse gases emission and other restrictions. A case study of the stover-to-electricity system in Jiangsu Province is followed to testify and modify the models. Afterwards, a series of management measures and policy instruments are simulated by the regional model and policy recommendations are given. This study aims to achieve the efficient scale and distribution for regional bioenergy development under regional conditions and policy restrictions. It is to support the strategy of renewable energy development in China, on both theoretical and practical aspects.