Operation analysis and its performance optimizations of the spray dispersion desulfurization tower for the industrial coal-fired boiler

Abstract

As a relatively new type of desulfurization system, long-term high-efficiency desulfurization is a critical issue for commercial spray dispersion system applications. To analyze the coupling effects of different operation parameters, a series of operation performance predictions with their optimizations are implemented. Through the analysis of the operating influencing factors based on artificial intelligence, the key influencing factors of the operation performance are determined. For instance, the tube immersion depth accounts for 46% of the factors that affect the desulfurization efficiency. Moreover, the system stability analysis determines not only the system's fine operation stability, but also identifies several factors, such as the PH and inlet gas temperature, that require key control for operational stability. For instance, the phase margin of the PH, flue gas temperature, and SO2 concentration in flue gas is greater than 0 when the amplitude margin reaches 1 point, allowing the PH control system to demonstrate excellent system operating stability. Then, after a systematic analysis of the operation, several optimizations of the operation are provided. Finally, in recent applications, the optimized spray dispersion has demonstrated excellent desulfurization performance: the desulfurization efficiency was greater than 99%, and the outlet SO2 concentration was less than 15 mg/m3 in three years of operation, which means that near-zero SO2 emissions in long cycles were essentially achieved, and 1/3 and 1/5 of the energy and cost consumption were reduced.

Keywords

• Spray dispersion tower
• Operation optimizations
• Artificial intelligence
• System stability
• Energy consumption