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RESULTS OF CLOSED-LOOP COAL-FIRED BOILER OPERATION USING A TDLAS SENSOR AND SMART PROCESS CONTROL SOFTWARE

机译:使用TDLAS传感器和智能过程控制软件进行闭环燃煤锅炉运行的结果

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The National Energy Technologies Laboratory (NETL) has sponsored two technology demonstration projects at coal-fired power plants to reduce CO_2 through combustion balancing and optimization. The Zolo Technologies-led projects at DTE Belle River Unit 2 and AEP Amos demonstrate significant reduction of CO_2/MWh via generation efficiency improvements enabled by new laser-based sensor technology in conjunction with smart process software. The primary project tools are tunable diode laser spectroscopy (TDLAS)-based in-furnace measurement of CO, H_2O, O_2, and temperature and software optimization. Performance testing at the DTE plant from July 25, 2010 to July 30, 2010 shows impressive benefits from the integration of these tools on the order of 2.4% reduction in CO_2 intensity. Similar improvements have been obtained on the AEP boiler without the final implementation of the smart process software. These results were obtained with minimal changes in boiler CO emissions and unburned carbon content and without additional boiler degradation.
机译:国家能源技术实验室(NETL)赞助了两个燃煤电厂技术示范项目,以通过燃烧平衡和优化来减少CO_2。 Dolo Belle River 2号机组和AEP Amos的Zolo Technologies领导的项目证明,通过基于激光的新型传感器技术与智能过程软件的结合,可提高发电效率,从而显着降低CO_2 / MWh。主要的项目工具是基于可调谐二极管激光光谱(TDLAS)的炉内CO,H_2O,O_2的炉内测量以及温度和软件优化。从2010年7月25日至2010年7月30日在DTE工厂进行的性能测试显示,这些工具的集成带来了令人印象深刻的收益,使CO_2强度降低了2.4%。在没有最终实现智能过程软件的情况下,AEP锅炉也获得了类似的改进。这些结果是在锅炉CO排放量和未燃烧碳含量变化最小的情况下获得的,并且没有额外的锅炉退化。

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