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Computer-aided design for high efficiency latent heat storage - a case study of a novel domestic solar hot water process

机译:高效潜热存储的计算机辅助设计 - 以新颖的国内太阳能热水工艺为例

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Latent heat storage (LHS) with high energy storage density and near isotherm operation has emerged as an attractive sustainable alternative to the conventional sensible heat storage. In this paper, a novel domestic solar-assisted hot water (DSHW) process coupled to a LHS module is presented and assessed. Process simulation and sensitivity analyses are carried-out using an in-house 2-D dynamic model of the proposed DSHW. A simulation for a full year shows that with an appropriately customized design, the proposed process consumes about 86 % less fossil-fuel compared to a conventional system, demonstrating the superiority of LHS over sensible heat storage in this DSHW application. The examination of the controllability of the system is warranted in order to mitigate the overheating phenomenon. The optimization of the LHS medium properties should be explored to further enhance the efficiency of the process. The current design approach can be implemented for various LHS applications ranging from simple DSHW to the large concentrated solar thermal industrial applications.
机译:具有高储能密度和近等温手术的潜热存储(LHS)作为传统的可明智的蓄热剂的有吸引力的可持续替代品。本文提出并评估了耦合到LHS模块的新型国内太阳能辅助热水(DSHW)过程。使用所提出的DSHW的内部2-D动态模型进行过程模拟和灵敏度分析。全年的模拟表明,通过适当定制的设计,与传统系统相比,所提出的过程消耗了大约86%的化石燃料,证明了在该DSHW应用中的明智热存储器上的优越性。有保证对系统的可控性检查,以减轻过热现象。应探索LHS中等性质的优化,以进一步提高该过程的效率。目前的设计方法可以用于各种LHS应用,从简单的DSHW到大型集中的太阳能热产业应用。

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