摘要
固体氧化物燃料电池—燃气轮机(Solid oxide fuel cell-gas turbine,SOFC-GT)的混合发电系统是未来高效、清洁的发电技术之一,混合系统的建模、优化与控制方面的研究对于系统集成和商业化运行具有重要意义。通过论述国内外在SOFC单电池机理、半经验模型、电池组模型、混合系统模型,以及系统动态模型与分布式发电系统控制等各个层次的研究成果,提出多尺度的自主研发技术路线。发展适合于高燃料利用率和不同燃料组分的单电池机理模型,并简化出更为合理的半经验模型或近似精确解,用于系统级分析;开发具有自主知识产权的部件模型库,进行系统集成设计和匹配优化;遵循V型开发模式,在系统动态特性分析基础上,开发先进的控制算法形成快速控制原型;建立实时控制的硬件在环演示系统,进行SOFC-GT系统的预集成。
Solid oxide fuel cell gas turbine (SOFC-GT) hybrid generation system is one of highly-efficient clean generation technologies in the future. Research of modeling, optimization and control of the hybrid system is very meaningful to the system integration and commercialization. By introducing the state-of-the-art achievements including mechanistic and semi-empirical model of single cell, stack model, hybrid system model, system integration and optimization, control-oriental dynamic model and control of distributed generation system, the multi-scale independent research and development strategy are presented. Based on the general mechanistic cell model which is suitable for high fuel utilization and multi-component fuel, more accurate semi-empirical or approximate analytical model can be developed for system-level analysis. Based on building the multi-scale model library with independent intellectual property rights, the platform of design and optimization for steady-state system analysis is provided. In the V-type mode, the advanced control algorithms are developed to form the rapid control prototype based on the analysis of system dynamic characteristics. Meanwhile, the hardware-in-the-loop simulation technology with real-time controller can be used for the pre-integration of SOFC-GT system.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2008年第2期1-7,共7页
Journal of Mechanical Engineering
基金
国家自然科学基金资助项目(50706019)
关键词
固体氧化物燃料电池
混合发电系统
多尺度模型库
集成与优化
多变量控制
V型模式
Solid oxide fuel cell Hybrid generation system Multi-scale model library Integration and optimization Multi-variable control V-type mode