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首页> 外文期刊>SESI Journal >Application Engineering Data for Solar Energy Utilisation: Solar Tables for Water Heating at Pondicherry
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Application Engineering Data for Solar Energy Utilisation: Solar Tables for Water Heating at Pondicherry

机译:太阳能利用的应用工程数据:本地治里的水加热太阳能表

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摘要

In spite of large-scale applications of solar energy in India during the last 25 years, there is hardly any application engineering data available. Instead, there are rules of thumb, spoken or latent (501/m~2 day for water heating for all collectors at all places for a fixed tilt), or sophisticated computing programs like TRNSYS, which are used by consultants only for larger projects. Collector test curves (BIS standards) are used for mean monthly conditions and radiation statistics are rarely taken into account. This article fills this gap with a case study for solar water heating at Pondicherry. The method is general and can be used anywhere for any application. A figure of merit is calculated as MJ/yr m~2 per Rupee of capital cost of installation to help select the system for maximum useful heat collected per unit variable costs. The essence of the method is a single design equation, which converts BIS test data design curve for generating application data with a design accuracy of 10%. Minimal computational effort in the form of a Microsoft~® (MS) Office Excel program is involved and tables can be generated for a single application in less than few minutes with data input requiring less than an hour.
机译:尽管过去25年在印度大规模应用太阳能,但几乎没有可用的应用工程数据。取而代之的是有经验法则,口语或潜伏法则(501 / m〜2天,所有地点的所有集水器都以固定的倾斜度加热),或复杂的计算程序(如TRNSYS),顾问仅将其用于较大的项目。收集器测试曲线(BIS标准)用于平均每月状况,很少考虑辐射统计数据。本文通过Pondicherry的太阳能热水器案例研究填补了这一空白。该方法是通用的,可以在任何应用程序的任何地方使用。品质因数的计算方法为每安装成本卢比MJ / yr m〜2,以帮助选择最大单位热量产生的系统热量。该方法的本质是单个设计方程式,该方程式可转换BIS测试数据设计曲线以生成设计精度为10%的应用数据。以Microsoft®(MS)Office Excel程序的形式进行的计算工作量最小,并且可以在不到几分钟的时间内为单个应用程序生成表,而数据输入所需的时间则不到一个小时。

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