600MW超超临界机组供热工况下再热器减温喷水全流程优化
Full-process Optimization of Reheat Desuperheating Spray Water for a 600 MW Ultra-supercritical Unit under Heat-supply Coupling Conditions
-
摘要: 再热减温喷水量偏高将造成再热蒸汽有效焓降损失,降低循环效率并推高供电煤耗。以岳阳电厂三期#5、#6机组(600MW级超超临界一次中间再热)为对象,针对供热耦合与负荷快速变化工况下再热汽温扰动频繁、减温喷水依赖性强的问题,提出"设备缺陷治理—运行参数协同优化—供热/负荷协调—数据闭环"的全流程优化方法。通过烟气挡板标定与响应优化、减温水阀门内漏治理、供热调阀线性改善,配合燃烧组织调整与上游受热面吹灰策略优化,实现汽温稳定前提下减温喷水最小化。建立"水平指标+漂移指标"双指标评价体系,以单位发电量再热减温水耗表征总量水平,以基线漂移率量化积灰导致的慢变偏置。结果表明,#5与#6机组环比持续下降,合并口径由优化前16.15kg/MWh降至3.38kg/MWh,降幅约79%;由+0.058降至+0.011kg/(MWh·d),降幅约81%;折算供电煤耗改善约0.39g/kWh。该方法具备工程推广价值。Abstract: Excessive reheat desuperheating spray water leads to effective enthalpy drop loss in reheat steam, reduces cycle efficiency, and increases specific coal consumption. Taking the #5 and #6 units (600 MW ultra-supercritical, single-reheat) of Yueyang Power Plant Phase III as objects, a full-process optimization approach was proposed to address the frequent reheat steam temperature disturbances and high spray water dependency under heat-supply coupling and rapid load variation conditions. The approach comprises four modules: equipment defect rectification, coordinated operating parameter optimization, heat-supply/load coordination, and data-driven closed-loop management. A dual-index evaluation system was established using both the specific reheat spray water consumption (kg/MWh) and the baseline drift rate (kg/(MWh·d)) to characterize the overall spray water level and the slow-varying fouling-induced bias, respectively. Field results showed that the combined decreased from 16.15 kg/MWh to 3.38 kg/MWh (approximately 79%), and decreased from +0.058 to +0.011 kg/(MWh·d) (approximately 81%), corresponding to an estimated specific coal consumption improvement of approximately 0.39 g/kWh. The method is replicable for similar coal-fired units under heat-supply coupling conditions.
下载: