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Optimising the Temperature of Heat Storage to Serve Processes with Varying Supply and Demand - Captured Solar Energy Curve

机译:优化供热温度以服务于供需变化的过程-捕获的太阳能曲线

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This work focuses on maximising the utilisation of solar thermal energy. The amount ofrnenergy supplied from solar radiation depends on the weather conditions, the availablernarea and on the capture temperature. The weather conditions are difficult to account for.rnHowever, the collectors’ area and temperature are design parameters. Usually there is anrnupper limit on the area of the collectors, both by available space and the cost. Itrndetermines the maximum energy that can be captured at different temperatures. Thernstorage temperature should be the lowest possible to ensure maximum solar heat capturernand minimum losses to the ambient. The resulting temperature level is determined by arntrade off between the temperature levels of the process demands and the solar supplyrntemperature. The higher is the temperature of the capture, the lower is the efficiency ofrnthe storage system and the amount of heat captured. Too low storage temperature mayrnresult in infeasibility of the heat transfer to processes. By constructing the MinimalrnCapture Temperature Curve (MCTC) and the Captured Solar Energy Curve (CSEC) thernmost favourable temperature of the storage and capture of energy from solar source isrndetermined using simple targeting techniques.
机译:这项工作的重点是最大限度地利用太阳能。太阳辐射提供的能源量取决于天气条件,可用的尿素和捕获温度。天气条件很难解释。但是,收集器的面积和温度是设计参数。通常,集尘器的面积受到可用空间和成本的双重限制。确定在不同温度下可以捕获的最大能量。储藏温度应尽可能低,以确保最大程度地吸收太阳能,并减少对环境的损失。通过在过程需求的温度水平和太阳能供应温度之间的平衡来确定最终的温度水平。捕获温度越高,存储系统的效率和捕获的热量越低。太低的存储温度可能会导致无法将热量转移到过程中。通过构建最小捕获温度曲线(MCTC)和捕获太阳能曲线(CSEC),可以使用简单的定位技术确定最有利的太阳能存储和捕获温度。

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