摘要
现有火电灵活性改造方案难以消除频繁快速变负荷所带来的热力系统寿命折损与机组安全运行风险,为保障火电机组参与电网调峰的安全性、经济性与健康性,提出并构建了基于固体氧化物电解槽(SOEC)制氢技术与燃烧器局部富氧燃烧(OEC)技术相耦合的火电机组全容量长寿命调峰技术方案.以某超超临界1 000 MW二次再热机组为计算示例,对SOEC-OEC系统参与70％～100％的电网深度调峰进行了能效计算,并与常规碱性水电解制氢(ALK)系统进行了比较.计算结果表明,SOEC-OEC技术方案中抽汽电解制氢系统的能效高达49.86％,相比ALK系统提高约26.40％;富氧助燃系统最大可减少锅炉排烟量达23.7％,降低机组供电煤耗2.83 g/(kW·h),减少碳排放约2.82 t/h.此外,SOEC-OEC系统还可为机组带来超额的调峰补贴收益、氢气售卖收益、富氧节煤降碳收益以及设备延寿延保收益等,充分保障了火电调峰过程的经济高效、安全环保.
Abstract
The existing thermal power flexibility renovation plan is difficult to eliminate the thermal system life loss and unit safety operation risks caused by frequent and rapid load changes.In order to effectively ensure the safety,economy,and health of thermal power units participating in grid peak shaving,a full capacity and long life peak shaving technology scheme for thermal power units based on the coupling of solid oxide electrolysis cell hydrogen production technology(SOEC)and burner local oxygen enriched combustion technology(OEC)is proposed and constructed.Taking an ultra supercritical 1 000 MW secondary reheat unit as an example,energy efficiency calculation is conducted on the SOEC-OEC system participating in power grid peak shaving at a depth of 70％～100％,and the results are compared with that of the conventional alkaline water electrolysis hydrogen production(ALK)system.The results show that,the energy efficiency of the extraction electrolysis hydrogen production system in SOEC-OEC is as high as 49.86％,which is about 26.40％higher than that of the ALK system.The oxygen enriched combustion system can reduce the boiler exhaust gas by up to 23.7％,reduce the unit coal consumption by 2.83 g/(kW·h),and reduce the carbon emissions by about 2.82 t/h.In addition,the SOEC-OEC system can also bring excess peak shaving subsidy benefits,hydrogen sales revenue,oxygen enrichment and coal saving and carbon reduction revenue,as well as equipment life extension benefits to the unit,fully ensuring the economic efficiency,safety,and environmental protection of the thermal power peak shaving process.
基金项目
西安热工研究院研发基金项目(TR-23-TYK05)
维普
万方数据