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首页> 外文会议>Petroleum Phase Behavior and Fouling International Conference >Prediction of NO_x and CO Emissions from an Industrial Lean-Premixed Gas Turbine Combustor Using a Chemical Reactor Network Model
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Prediction of NO_x and CO Emissions from an Industrial Lean-Premixed Gas Turbine Combustor Using a Chemical Reactor Network Model

机译：使用化学反应器网络模型预测工业稀释预混燃气涡轮机燃烧器的NO_X和CO排放

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NO_x and CO emissions from gas turbines are limited by European legislation to 25 ppmvd for natural gas operations. To meet this objective, and that of future legislation, it is necessary to develop a numerical tool that can predict NO_x and CO emissions quickly and accurately. In this study, a chemical reactor network (CRN) is developed based on computational fluid dynamics (CFD). A combustor is modeled by using Star-CCM+, a commercial CFD code. The network consists of 22 chemical reactor elements, which act as different reaction zones in the combustor. The predictions of exhaust emissions in this work were carried out using the CHEMKIN code and the full GRI 3.0 chemical kinetics mechanism. The model combustor tests were conducted at different conditions using various flow rates and equivalence ratios for the main and pilot injector at three different inlet temperatures. The predicted NO_x and CO emission results closely matched the experimental data. The present study focuses on the effects of inlet temperature and pilot-to-total fuel ratio on NO_x. emissions at various load conditions using NO formation pathway analysis.
机译：燃气轮机的NO_X和CO排放受欧洲立法限制为25ppmvd，用于天然气操作。为了满足这一目标，并且将来的立法，有必要开发一个数字工具，可以快速准确地预测NO_X和CO排放。在该研究中，基于计算流体动力学（CFD）开发了化学反应堆网络（CRN）。燃烧器是通过使用STAR-CCM +，商业CFD码建模的燃烧器。该网络由22个化学反应器元件组成，其用作燃烧器中的不同反应区。使用Chemkin码和全GRI 3.0化学动力学机制进行这项工作中排气的预测。在不同的条件下，使用各种流速和前喷射器的等效比在三种不同的入口温度下进行模型燃烧器测试。预测的NO_X和CO发射结果与实验数据密切相关。本研究重点介绍了入口温度和导燃至总燃料比在NO_X上的影响。使用无形成途径分析的各种载荷条件下的排放。

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