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SOLAR COLLECTOR EXERGETIC OPTIMIZATION FOR A MULTI EFFECT HUMIDIFICATION DESALINATION PROTOTYPE

机译:多效加湿淡化原型的太阳能集热器能效优化

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Venezuela is a country with a great deal of water sources, as a consequence of its location in the Amazon Basin. In spite of this, about 1.6 million inhabitants are dispersed in remote regions throughout the nation, where water distribution is problematic due to the lack of this resource. Since 2007, The Institute of Energy of the Simon Bolivar University has been focused on the development of a 25 liters per day single stage solar Multi-effect Humidification (MEH) desalination plant using a flat plate solar collector. Once the construction of the prototype plant was completed, the characterization of its different components was performed. The one related to the solar collector unit was done on a testing rig designed and constructed according to the ANSI/ASHRAE 93-2003 standard requirements. In order to optimize the operation of this equipment is necessary to maximize the exergetic change of the working fluid across the solar collector, to achieve this objective a numerical simulation using a predictive algorithm and an available yearlong meteorological data was performed. The prediction algorithm was validated against experimental data obtained from the characterization tests. The numerical results obtained were in good agreement with previous related researches. It was found that the best way to operate the solar collector in remote areas and ensure the maximum exergetic gain of the working fluid was to maintain a fix mass flow rate of 0.006 kg/s (0.36 LPM). This corresponds with the climate conditions at Simon Bolivar University and an admission temperature of 54°C, which is the design value of the desalination plant.
机译:委内瑞拉位于亚马逊河流域,因此拥有大量水源。尽管如此,全国仍有约160万居民分散在偏远地区,由于缺乏这种资源,水的分配存在问题。自2007年以来,西蒙·玻利瓦尔大学能源研究所一直致力于使用平板太阳能集热器开发每天25升的单级太阳能多效加湿(MEH)海水淡化厂。一旦原型工厂的建设完成,就对其不同组件进行表征。与太阳能收集器单元有关的一个是在根据ANSI / ASHRAE 93-2003标准要求设计和建造的测试设备上完成的。为了优化此设备的运行,必须最大化跨太阳能集热器的工作流体的剧烈变化,为了实现此目标,使用了预测算法和可用的全年气象数据进行了数值模拟。根据从表征测试获得的实验数据对预测算法进行了验证。数值结果与以往的相关研究吻合良好。人们发现,在偏远地区操作太阳能收集器并确保最大的工作能量最大化的最佳方法是保持固定质量流量为0.006 kg / s(0.36 LPM)。这与西蒙·玻利瓦尔大学的气候条件相对应,入水温度为54°C,这是海水淡化厂的设计值。

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