摘要
分析现有“以热定电”模式存在的问题,构建基于单耗分析的能耗模型、多能互补系统优化模型以及反映机-炉-供热协调控制系统运行特性的非线性数学模型,采用粒子群优化算法对机-炉-供热协调控制系统进行优化。应用生物质燃料余热回收和生物质能梯级利用优化技术,提升能源利用效率,同时利用电动热泵、生物质能热电解耦等技术,提高系统的灵活性,为生物质热电联产技术的广泛应用提供理论支持与实践指导。
The limitations of the existing“power determined by heat”mode are analyzed.The energy consumption model based on unit consumption analysis,the optimal model for multi-energy complementary systems and the nonlinear mathematical model re-flecting the operational characteristics of turbine-boiler-heat supply coordinated control system are constructed,The particle swarm optimization algorithm is employed to optimize the turbine-boiler-heat supply coordinated control system.By integrating biomass fuel waste heat recovery and biomass energy cascade utilization technologies,energy efficiency is enhanced.Additionally,the technologies such as electric heat pumps and bioenergy heat-power decoupling are applied to improve the flexibility of the sys-tem,thus providing theoretical support and practical guidance for the widespread application of biomass combined heat and power generation technology.
作者
孙卫华
SUN Weihua(Shandong Lineng Electric Technology Co.,Ltd.,Zibo 256300,China)
出处
《山东电力高等专科学校学报》
2025年第3期56-59,共4页
Journal of Shandong Electric Power College
基金
山东省科技型中小企业创新能力提升工程项目“基于生物质能的热电联产系统研发及产业化”(项目编号:2024TSGC0316)。
关键词
生物质能
热电联产
优化运行
协同控制
能源效率
biomass energy
combined heat and power generation
optimal operation
coordinated control
energy efficiency
作者简介
孙卫华(1978),男,本科,高级工程师,主要研究方向为电力工程施工及运行调试。
