冷热电联供系统能否高效、经济、环境友好的运行,取决于系统的设备选型、设备容量及运行策略的整体优化。文中设计了一种冷热电联供系统的三级协同整体优化方法,第一级优化运用离散粒子群算法,以年一次能源利用率最高为目标,求解最优设备选型问题;第二级优化采用粒子群算法,以年CO2排放量最少为目标,求解最优设备容量问题;第三级优化采用粒子群算法,以年运行成本最低为目标,求解最优运行参数问题。以应用于医院的冷热电联供系统为例,验证该三级协同整体优化设计方法的有效性。结果表明,采用该方法设计的冷热电联供系统同分别基于“以电定热”和“以热定电”运行策略设计的2种冷热电联供系统相比,该系统更节能、更环保、更经济。
Combined cooling heating and power (CCHP) system can be efficient, economical and environmentally friendly, depending on the global optimization design of equipment selection, equipment capacity and operation strategy of CCHP system. This paper proposed a three-stage collaborative global optimization design method for CCHP system. On the first stage, discrete particle swarm optimization was applied to solve the optimal equipment type problem with maximum annual primary energy utilization rate. On the second stage, particle swarm optimization was utilized to solve the optimal equipment capacity with minimum annual carbon dioxide emissions. On the third stage, particle swarm optimization was utilized to solve the optimal operation strategy with minimum annual operation costs. A case of CCHP system used in a hospital building validated the effectiveness of this optimal method. Results show that this CCHP system designed by this optimal method is more energy saving, more environmental and more profitable than two CCHP systems separately designed by following the electric load (FEL) and following the thermal load (FTL) operation strategy.