Large Scale Natural Convection Boundary Layers with Non-Boussinesq Effects

具有非 Boussinesq 效应的大规模自然对流边界层

• 批准号: DP220103209
• 负责人: Prof Steven Armfield
• 金额: $ 28.44万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220103209
• 关键词: Large; Scale; Natural; Convection; Boundary

This proposal aims to understand and predict heat transfer by turbulent natural convection in two scenarios, firstly at very large environmental scales, such as occur on melting Antarctic ice sheets, and secondly convection involving very large temperature differences such as occur in solar thermal power plants and industrial processes. These natural convection flow regimes are incredibly difficult to investigate directly but by focusing on the fundamental dynamics of the turbulent flows using large scale numerical simulations and innovative experiments, the project is expected to develop better analytical and computational models which will underpin improvements in global ocean models and improve energy efficiency.

该提案旨在了解和预测两种情况下的湍流自然对流传热，首先是在非常大的环境尺度下，例如发生在南极冰盖融化时，其次是涉及非常大温差的对流，例如发生在太阳能热电厂和工业过程中。这些自然对流流动状态非常难以直接研究，但通过使用大规模数值模拟和创新实验关注湍流的基本动力学，该项目有望开发出更好的分析和计算模型，这将支持 全球海洋模型和提高能源效率。