Heat Transfer in Dispersed Multiphase Flows with Droplets and Particles

具有液滴和颗粒的分散多相流中的传热

• 批准号: RGPIN-2020-06227
• 负责人: Naterer, Greg
• 金额: $ 4.01万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=718269
• 关键词: Heat; Transfer; Dispersed; Multiphase; Flows

Driven by an increasing need to improve energy efficiency and reduce greenhouse gas emissions, researchers are developing faster and more accurate predictive models of thermal engineering systems. Through numerical and experimental methods, this research aims to better understand, predict and control the transport phenomena in multiphase flows with droplets and particles. Applications are focused on marine icing processes, flow assurance in subsea oil and gas pipelines, and thermochemical hydrogen production with a copperchlorine (CuCl) cycle. The objectives are to develop new design tools that provide more accurate, robust and reliable predictions and measurements of multiphase processes. Emphasis is placed on physical processes with limited current understanding in the technical literature, particularly simultaneous processes of phase change, binary constituents, chemical reactions, and turbulence. In addition to numerical modeling, the research aims to conduct experiments in the Multiphase Flow Laboratory at Memorial University to acquire measured data for model verification. This will provide exceptional learning opportunities for the training of highly qualified personnel in a research environment that is stimulating and inclusive. The proposed research aims to apply the research outcomes to hydrogen energy, icing, and flow assurance applications. These include higher thermal efficiency of unit operations in the CuCl cycle, more effective deicing of structures (ships, wind turbines and overhead power lines), and better flow assurance during hydrate formation in subsea oil and gas pipelines. Ultimately the research aims to scaleup and eventually link the CuCl cycle with Canada's next generation of nuclear reactors or other heat sources (such as solar energy or industrial waste heat) and demonstrate a CuCl pilot plant at a larger industrial scale. Clean hydrogen production by the CuCl cycle could potentially lead to a significant solution to the problem of climate change. By improving the solution accuracy and measurement of multiphase processes in these applications, new technologies can be developed to improve the energy efficiency and system performance. The research would also have a beneficial impact on other multiphase systems with droplets and particles, such as spray coatings from solidified impinging droplets, particle decomposition in fluidized beds, and production of powders and pharmaceuticals, among others.

在提高能源效率和减少温室气体排放日益增长的需求的推动下，研究人员正在开发更快、更准确的热工程系统预测模型。本研究旨在通过数值和实验方法，更好地理解、预测和控制液滴和颗粒多相流中的输运现象。应用主要集中在海上结冰过程、海底油气管道的流动保障以及铜氯（CuCl）循环热化学制氢。目标是开发新的设计工具，为多相过程提供更准确、稳健和可靠的预测和测量。重点放在物理过程与有限的当前理解在技术文献中，特别是同时过程的相变，二元成分，化学反应，和湍流。除数值模拟外，本研究还将在纪念大学多相流实验室进行实验，获取实测数据，对模型进行验证。这将为在激励和包容的研究环境中培养高素质人才提供特殊的学习机会。