Modelling of latent heat storage by phase change materials for solar drying processes
太阳能干燥过程中相变材料潜热储存的建模
基本信息
- 批准号:450248664
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:
- 资助国家:德国
- 起止时间:
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Although there has been increasing research in the area of latent heat storage and its use in a wide variety of areas in recent years, there has hardly been little work on the implementation of this storage technology in solar drying systems for agricultural products.Realizing such storage of the strongly fluctuating solar radiation would make it possible to further exploit the use of solar energy for agricultural drying technology. Latent heat storage can reduce the unavoidable day/night differences in drying temperatures, which are undesirable from the point of view of uniform process control and generally have a negative impact on product quality. In this research project, it is aimed to model how a solar dryer equipped with latent heat storage behaves in comparison to a conventional system that only consists of a solar air heater and a dryer unit. A simulation allows the determination of the influence of various design parameters on the overall system performance.For this, numerical models for the main system components, namely solar air heater, latent heat storage and dryer will be implemented in simulation programs in a MATLAB environment. These can then be used to carry out parametric studies of the different configurations and compare their characteristics, for example regarding expected drying time, specific energy requirement, solar fraction and product quality.The expected results and the simulation programs to be developed enable a substantial expansion of knowledge about the use of solar energy in agricultural drying technology and also form the basis of the technical and economic evaluation of latent heat storage for drying processes.
虽然近年来在潜热储存领域及其在各个领域的应用研究越来越多,但将这种储存技术应用于农产品太阳能干燥系统的工作并不少。实现这种强烈波动的太阳辐射的储存将使进一步开发利用太阳能用于农业干燥技术成为可能。潜热储存可以减少不可避免的干燥温度昼夜差异,从统一过程控制的角度来看,这是不可取的,通常会对产品质量产生负面影响。在这项研究项目中,它的目的是模拟配备潜热储存的太阳能干燥器与只由太阳能空气加热器和干燥单元组成的传统系统相比的行为。通过仿真可以确定各种设计参数对系统整体性能的影响,为此,系统的主要部件,即太阳能空气加热器、潜热储存装置和干燥器,将在MATLAB环境下通过仿真程序进行数值建模。这些参数可以用来对不同的配置进行参数研究,并比较它们的特性,例如预期干燥时间、比能量需求、太阳能份额和产品质量。预期的结果和将要开发的模拟程序使人们对太阳能在农业干燥技术中的使用有了实质性的了解,并形成了用于干燥过程的潜热储存的技术和经济评估的基础。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Professor Dr. Oliver Hensel其他文献
Professor Dr. Oliver Hensel的其他文献
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{{ truncateString('Professor Dr. Oliver Hensel', 18)}}的其他基金
Development of multivariate regression models for real-time monitoring of physicochemical changes of foodstuffs during drying process using Vis-NIR optical imaging
开发多元回归模型,利用 Vis-NIR 光学成像实时监测食品在干燥过程中的理化变化
- 批准号:
420778578 - 财政年份:2019
- 资助金额:
-- - 项目类别:
Research Grants
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