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    基于CAES的火储机组热力学分析及优化运行策略研究

    Thermodynamic Analysis and Optimization Operation Strategy of a Thermal-storage Unit Based on CAES

    • 摘要: 为了实现机组的热电解耦,提出了一种热电联产机组耦合压缩空气储能的方法。基于Ebsilon软件搭建了300 MW热电联产机组的热力学模型,分析了机组热电可行域、能量利用效率以及效率的变化;采用基于位置约束的粒子群算法,以典型日内煤耗最低为最优目标进行系统运行策略优化。结果表明:耦合压缩空气储能可以大幅增加机组热电可行域,提高机组的深度调峰能力,最多可增加35.0 MW的深度调峰功率;当锅炉出力与压缩空气储能模块的功率固定时,机组的供热负荷越低,其能量利用率变化越明显;机组的能量利用效率和效率与储能功率呈负相关,与放能功率呈正相关;在典型日周期内,通过储放电功率调节可以使机组的能量利用效率最多提高2.54%,效率提高1.41%;机组可节约标准煤炭52.5 t/d,减少二氧化碳排放量136.5 t/d。

       

      Abstract: To achieve the thermal-electric decoupling, a method of integrating a combined heat and power (CHP) unit with compressed air energy storage (CAES) was proposed. A thermodynamic model of a 300 MW CHP unit was developed based on Ebsilon software to analyze the variations in the unit's heat-power feasible region, energy utilization efficiency, and exergy efficiency. Additionally, a particle swarm optimization (PSO) algorithm based on position constraints was adopted to optimize the system's operation strategy with the objective of minimizing overall coal consumption. Results show that coupling with CAES can significantly expand the heat-power feasible region and enhance the deep peak shaving capability of the unit, providing a maximum increase of 35.0 MW in deep peak shaving power. When the boiler output and the power of the CAES module are fixed, the lower the heating load of the unit, the more significant the change in its energy utilization rate. Both the energy utilization efficiency and exergy efficiency of the unit are negatively correlated with charging power and positively correlated with discharging power. Within a typical daily cycle, the adjustment of charging and discharging power can increase the unit's energy utilization efficiency by up to 2.54% and the exergy efficiency by 1.41%. Furthermore, the unit can save 52.5 t/d of standard coal and reduce CO2 emissions by 136.5 t/d.

       

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