Electrostatic precipitators (ESP) have been considered as the main particulate matter (PM) removal facility in the energy industry. This paper presents a real-time optimization method for a one-chamber industrial ESP in an ultra-low emission power plant with an intelligent optimization system (IOS). The IOS seeks to optimize the energy consumption of ESP subject to the outlet concentration requirement in real-time. A coordination control logic is designed to regulate the optimized operation set points with varying operation conditions. The operation optimized by the IOS is compared with the operations under PID (proportion-integral-derivative) and manual control. The results show that the IOS improves the emission compliance rate from 95% of manual control to 100% and the medium concentration is tuned to be 46.6% closer to the emission target. Furthermore, a good balance between emission and energy consumption is achieved, with 35.50% energy conservation for the same emission upper limit of 30 mg/m³. These results prove that the IOS significantly contributes to the efficient operation and economic PM removal by ESP for the energy industry.

Implications

Electrostatic precipitators (ESP) is one of the main PM removal facilities in coal-fired power plants. An intelligent optimization system (IOS) with prediction, optimization, and control modules is designed and constructed for the ESP in an ultra-low emission power plant. A PM removal model is used to predict the outlet concentration of the ESP. The optimal energy consumption of ESP subject to the outlet concentration requirement problem is solved by the particle swarm optimization. A closed-loop and rapping tolerant method is used to eliminate the fluctuation in time-averaged concentration. The system raised is able to ensure the compliance rate while decreasing the energy consumption of the ESP.

中文翻译：

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一种经济，有效地运行电除尘器的实时优化方法。

静电除尘器（ESP）被认为是能源工业中主要的颗粒物（PM）去除设备。本文提出了一种采用智能优化系统（IOS）的超低排放电厂单室工业ESP的实时优化方法。IOS寻求实时优化ESP的能耗，具体取决于出口浓度。协调控制逻辑被设计为在变化的操作条件下调节优化的操作设定点。将通过IOS优化的操作与PID（比例积分微分）和手动控制下的操作进行比较。结果表明，IOS将排放达标率从手动控制的95％提高到100％，并且介质浓度被调整为更接近排放目标的46.6％。³。这些结果证明，IOS可以极大地促进ESP高效运行并通过ESP去除能源行业中的PM。

含义

静电除尘器（ESP）是燃煤电厂的主要PM去除设施之一。为超低排放电厂的ESP设计并构建了具有预测，优化和控制模块的智能优化系统（IOS）。使用PM去除模型来预测ESP的出口浓度。通过粒子群算法解决了受出口浓度要求问题影响的电除尘器的最佳能耗。闭环和说唱容忍方法用于消除时间平均浓度的波动。提出的系统能够确保合规率，同时降低ESP的能耗。