Turbulent combustion modelling for conditions relevant to industrial applications

工业应用相关条件的湍流燃烧建模

• 批准号: RGPIN-2018-03965
• 负责人: Devaud, Cecile
• 金额: $ 5.68万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=760416
• 关键词: Turbulent; combustion; modelling; conditions; relevant

Increasingly stringent regulations on airborne pollutant emissions for transportation and power generation are being imposed worldwide. Uncertainties in oil prices have further accelerated the search for alternative fuel-efficient and low-emission power generation systems. Experimental studies play an important role in the investigation of the issues arising in industrial combustion chambers; however, comprehensive experiments cannot be run routinely due to cost and large turnaround times. Thus, there is a clear need to develop computational tools capable of predicting transient phenomena, specifically ignition and extinction, as well as temperatures and emission levels for various fuels for design and optimization of industrial burners and engines. This proposal outlines a research program with the long-term objective of developing an efficient and accurate computational methods and models for the prediction of flame characteristics and pollutant emissions in the diverse combustion operating conditions relevant to those found in the power generation and transport industry. The two short-term objectives of the proposed program focus on two key aspects that require different physical modelling considerations: i. Accurate prediction of transient phenomena such as extinction and ignition for selected cases in conditions relevant to industrial applications.ii. Accurate simulation of combustion processes burning complex fuel blends using detailed chemistry with emphasis on atmospheric pollutant predictions. The proposed research program builds upon our recently developed Conditional Source-term Estimation (CSE) methods to bring them to a much higher level of development and improved confidence for the prediction of ignition/extinction and atmospheric emissions from complex fuels, in industrial applications. Experimental data sets from situations with increasing physical complexity will be selected to cover different conditions and phenomena that are found in industrial combustion chambers and engines. These cases present data with which to assess the prediction of ignition/extinction and generate maps for combustion stability, as well as the accuracy of the combustion process for complex fuel blends. Accurate, next-generation chemistry tables will be elaborated that include differential diffusion. Most simulations will be run in Large Eddy Simulation (LES) with a few developments using a Reynolds Averaged Navier Stokes (RANS) approach.The tools will be designed to be versatile and automated, requiring minimal user input. The techniques to be developed are of direct relevance to the engineering and research community as they will facilitate improved and efficient prediction and investigation of flame stabilization, ignition/extinction and emissions in industrial systems such as gas turbines, furnaces and boilers.

全世界都在对运输和发电的空气污染物排放实行越来越严格的规定。 油价的不稳定进一步加速了对替代燃料效率和低排放发电系统的探索。实验研究在调查工业燃烧室中出现的问题方面发挥着重要作用;然而，由于成本和大量周转时间，无法常规进行全面的实验。因此，显然需要开发能够预测瞬态现象（特别是点火和熄灭）以及各种燃料的温度和排放水平的计算工具，以用于工业燃烧器和发动机的设计和优化。该提案概述了一项研究计划，其长期目标是开发一种高效准确的计算方法和模型，用于预测与发电和运输行业相关的各种燃烧操作条件下的火焰特性和污染物排放。拟议计划的两个短期目标集中在两个关键方面，需要不同的物理建模考虑：i。在与工业应用相关的条件下，对选定情况下的瞬态现象（如熄火和点火）进行准确预测。使用详细的化学方法精确模拟燃烧复杂燃料混合物的燃烧过程，重点是大气污染物预测。拟议的研究计划建立在我们最近开发的条件源项估计（CSE）的方法，使他们的发展水平高得多，提高信心的点火/熄灭和复杂燃料的大气排放预测，在工业应用中。将选择物理复杂性不断增加的情况下的实验数据集，以涵盖工业燃烧室和发动机中发现的不同条件和现象。这些案例提供了评估点火/熄火预测的数据，并生成燃烧稳定性图，以及复杂燃料混合物燃烧过程的准确性。精确的，下一代化学表将详细说明，包括差分扩散。大多数模拟将在大涡模拟（LES）中运行，少数开发使用雷诺平均纳维尔斯托克斯（RANS）方法。这些工具将被设计为通用和自动化，需要最少的用户输入。待开发的技术与工程和研究界直接相关，因为它们将有助于改进和有效地预测和调查燃气轮机、熔炉和锅炉等工业系统中的火焰稳定、点火/熄灭和排放。