Modeling and Simulation for Thermal Energy Storage System Design**

热能存储系统设计的建模和仿真**

• 批准号: 533589-2018
• 负责人: Laforest, Marc
• 金额: $ 1.82万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=656342
• 关键词: Modeling; Simulation; Thermal; Energy; Storage

More than 81% of the energy consumed by humans in 2015 came from fossil fuels, which generate greenhouse gas emissions responsible for worldwide global warming. It has become vital to reduce their consumption and favor renewable energies, such as hydroelectricity, wind, or solar energies. Unfortunately, most sources of renewable energies are intermittent and not necessarily in phase with the electricity consumption cycle. It is therefore essential to develop energy storage systems to capture renewable energies when they are available and distribute them when needed. The company Sigma Energy Storage in Montreal is currently investigating novel thermal energy storage systems which are charged by hot air flow through packed aggregates of rocks found on-site. The stored heat can be later used during a discharging phase for the generation of electricity. Such a packed-rock bed thermal energy storage system offers an attractive and cost-efficient alternative to existing energy storage systems. The objective of the proposed collaboration between Sigma Energy Storage and Polytechnique Montréal is concerned with the development, implementation, and analysis of heat transfer two-phase transient computational models to be later used in the preliminary design phase of thermal energy storage systems. More specifically, requirements are that the model be fast, robust, and accurate so that it is suitable for design optimization. The major outcome of the project will consist of a feasibility study assessing the range of parameters over which energy can be stored and extracted cost-effectively. The parametric study will be done with the use of established mathematical and numerical models in one and three space dimensions. The development of reliable and performant computational models will help Sigma Energy Storage with the design of optimal configurations of packed-rock bed thermal energy storage systems. Such technology will help in turn reduce fossil fuel consumption and take full advantage of intermittent renewable energies for maximum economic and environmental impact in Canada and elsewhere in the world.

2015年，人类消耗的81%以上的能源来自化石燃料，这些燃料会产生温室气体排放，导致全球变暖。减少他们的消耗，支持可再生能源，如水力发电、风能或太阳能，已经变得至关重要。不幸的是，大多数可再生能源是间歇性的，不一定与电力消耗周期同步。因此，必须开发能源储存系统，以便在可再生能源可用时捕获它们，并在需要时将其分配。蒙特利尔的Sigma Energy Storage公司目前正在研究新型热能存储系统，这种系统通过现场发现的岩石聚集体中的热空气流动进行充电。储存的热量稍后可在放电阶段用于发电。这种填充式岩石床热能存储系统为现有的能量存储系统提供了一种有吸引力且经济高效的替代方案。Sigma Energy Storage和Polytech Montréal之间拟议合作的目标是开发、实施和分析稍后用于热能存储系统初步设计阶段的热传递两相瞬变计算模型。更具体地说，要求模型是快速、健壮和准确的，以便它适合于设计优化。该项目的主要成果将包括一项可行性研究，评估能够以符合成本效益的方式储存和提取能源的参数范围。将利用一维和三维空间中已建立的数学和数值模型进行参数研究。可靠和高效的计算模型的开发将有助于Sigma Energy Storage设计填充岩层热能存储系统的最佳配置。这种技术将反过来帮助减少化石燃料的消耗，并充分利用间歇性可再生能源，在加拿大和世界其他地方最大限度地产生经济和环境影响。