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Computational methods for analysis and optimization of solar thermal energy collection and storage technologies

Computational methods for analysis and optimization of solar thermal energy collection and storage technologies
太阳能热能收集和存储技术分析和优化的计算方法
批准号:
RGPIN-2017-04078
负责人:
Degroot, Christopher
金额:
$1.53万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

项目摘要

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中文摘要
翻译
尽管能源生产产生的温室气体排放对环境构成了日益紧迫的威胁,但全球对能源的需求仍在迅速增长。虽然近年来可再生能源部门增长显著,目前占总能源供应的14%,但为了实现温室气体排放的新目标,必须保持这种增长。目前大多数可再生能源组合由水力发电、生物燃料和废物组成,而地热、太阳能、风能和热能仍然占总能源供应的不到2%。考虑到太阳向地球提供的能量比满足社会能源需求所需的能量多出许多倍,太阳能的相对缺乏尤其令人感兴趣。******拟议的研究计划侧重于开发计算工具,使设计和优化更好的设备来捕获和储存太阳能(热)能量。事实上,太阳能热能只能在白天使用,这可能是限制其广泛使用的一个关键因素。与使用电池存储电能类似,热能也可以通过某些材料来存储,这些材料被称为相变材料。相变材料在相变过程(如熔化过程)中以潜热的形式储存能量。在熔化过程中,材料的温度没有变化,但它吸收了大量的能量,这些能量后来可以通过固化材料来回收。一个主要问题是,相变材料通常具有非常低的导热性,因此需要很长时间来储存和稍后回收热能。通过本研究项目,相变材料的导热性将通过嵌入具有非常高的内表面积的高导电性多孔固体来增强。数值模拟将进行,以确定最佳的孔隙形状和大小,以最大限度地提高传热。纳米流体(即悬浮在相变材料中的高导电性纳米颗粒)的使用也被认为可以增强导热性,并将在本工作中进行数值研究。除了热能的储存,热辐射的捕获也将被研究。使用多孔材料(增强导热性和对流面积)和纳米流体(改善光学吸收性能)获得的增强将被量化和优化。******这个研究项目的结果将是一个重要的计算工具库,它将作为一个优秀的设计和优化平台,用于开发增强的太阳能热收集和存储设备,以及其他能源应用的设备。这些软件工具将以开源的形式向公众发布,目标是创建一个多机构合作平台。
英文摘要
The global demand for energy continues to increase rapidly, despite the fact that greenhouse gas emissions from energy production pose an increasingly urgent threat to the environment. While the renewable energy sector has grown significantly in recent years, and now makes up 14% of the total energy supply, this growth must be sustained in order to meet new targets for greenhouse gas emissions. Most of the current renewable energy mix is made up of hydroelectric, biofuels, and waste, while geothermal, solar, wind, and heat energies still account for less than 2% of the total energy supply. The relative absence of solar energy is particularly intriguing, given that the sun delivers many times more energy to the earth than what is needed to satisfy society's energy needs.******The proposed research program focusses on the development of computational tools that will enable design and optimization of better devices for capturing and storing solar thermal (heat) energy. The fact that solar thermal energy is only available during daylight hours is a key factor that may limit its widespread use. Similar to using batteries to store electrical energy, thermal energy can also be stored by certain materials, known as phase change materials. Phase change materials store energy in the form of latent heat during a phase change process, such as melting. During a melting process, the temperature of a material does not change but it absorbs a large amount of energy, which can later be recovered by solidifying the material. One major issue is that phase change materials typically have very low thermal conductivity and therefore require a long time to store and later recover heat energy. Through this research program, the thermal conductivity of phase change materials will be enhanced by embedding a highly conductive porous solid with very high internal surface area for heat convection. Numerical simulations will be conducted to determine the optimal pore shapes and sizes to maximize the heat transfer enhancement. The use of nanofluids (i.e. high-conductivity nanoparticles suspended into the phase change material) is also known to enhance thermal conductivity and will be investigated numerically in this work. In addition to storage of thermal energy, the capture of thermal radiation will be studied. Enhancements obtained using porous materials (to enhance thermal conductivity and convection area) and nanofluids (to improve optical absorbance properties) will be quantified and optimized.******The result of this research program will be a significant library of computational tools that will serve as an excellent design and optimization platform for the development of enhanced solar thermal collection and storage devices, as well devices for other energy applications. The software tools will be released to the public as open source, with the goal of creating a multi-institutional platform for collaboration.
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复杂图像处理中的自由非连续问题及其水平集方法研究
  • 批准号:
    60872130
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2008
  • 负责人:
    刘国才
  • 依托单位:
Computational Methods for Analyzing Toponome Data