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    天然气锅炉掺氢燃烧污染物排放特性多目标优化

    Multi-objective optimization on pollutant emission characteristics of HEM combustion coupling with FGR in a gas boiler

    • 摘要: 天然气锅炉掺氢燃烧是降低碳排放的有效技术途径,但多因素交互作用对污染物排放的综合影响规律尚不清晰。开发了用户自定义函数实现烟气再循环(FGR)功能,对49 MW过量空气系数为1.2的天然气锅炉掺氢燃烧耦合FGR过程进行数值模拟。基于田口试验方法设计了不同的掺氢比XH2(0-0.3)、烟气再循环率RFGR(0-0.15)和燃料预热温度Tp(300 K-600 K)对于不同污染物NOx、CO和CO2排放的影响,并利用熵权法提出了一种新的掺氢燃烧污染物多目标综合评价指标MEI,进一步使用信噪比分析以MEI为目标对燃烧边界条件进行优化。结果表明:在单一污染物目标下,NOx排放最少的组合为XH2=0.2,、RFGR=0.15、Tp=400 K,CO排放最少的组合为XH2=0.3、RFGR=0.15、Tp=600 K,CO2排放最少的组合为XH2=0.2、RFGR=0.15、Tp=600 K;多目标综合评价指标MEI的数学表达式为MEI=0.39ENOx+ 0.32ECO+ 0.29ECO2,多目标下最优MEI为1.102,比单一目标下的最大值提升了10.42%,对应的最优组合为XH2=0.2、RFGR=0.15、Tp=600 K,得到最低排放NOx浓度为12 mg/m3,CO浓度为6 mg/m3,CO2体积分数5.31%。结果可为天然气锅炉掺氢燃烧的多污染物协同控制策略的制定提供了新的研究思路。

       

      Abstract: Hydrogen-enriched combustion in gas-fired boilers represents a viable pathway for mitigating carbon emissions, yet the synergistic influence of multiple operating parameters on overall pollutant emission characteristics has not been systematically elucidated. A user-defined function was developed to implement the flue gas recirculation (FGR) function, and numerical simulations were conducted on the hydrogen-enriched combustion coupled with FGR process in a 49 MW natural gas boiler with an excess air coefficient of 1.2. Based on the Taguchi experimental method, 16 cases were designed with different hydrogen blending ratios (XH2 = 0-0.3), flue gas recirculation rates (RFGR = 0-0.15), and fuel preheating temperatures (Tp = 300 K-600 K) to investigate the effects of these variables on the emissions of different pollutants, namely NOx, CO, and CO2. The entropy weight method was used to propose a novel multi-objective comprehensive evaluation index (MEI) for pollutant emissions from hydrogen-enriched combustion. Further, signal-to-noise ratio analysis was performed to optimize the combustion boundary conditions with MEI as the objective. The results show that among the 16 cases, for single-pollutant objectives, the combination achieving the lowest NOx emission is XH2=0.2,、RFGR=0.15、Tp=400 K; the lowest CO emission is achieved at XH2=0.3、RFGR=0.15、Tp=600 K; and the lowest CO2 emission is achieved at XH2=0.2、RFGR=0.15、Tp=600 K. The mathematical expression of the multi-objective comprehensive evaluation index MEI is MEI=0.39ENOx+ 0.32ECO+ 0.29ECO2. Under multi-objective optimization, the optimal MEI value is 1.102, which is 10.42% higher than the maximum value achieved under single-objective optimization. The corresponding optimal combination is XH2=0.2、RFGR=0.15、Tp=600 K, achieving the lowest emissions with a NOx concentration of 12 mg/m3, CO concentration of 6 mg/m3, and CO2 volume fraction of 5.31%. The results can provide new insights for the development of multi-pollutant control strategies in hydrogen-enriched combustion of gas-fired boilers.

       

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