雨水收集系统的性能建模:走向一般化的方法

A Fewkes
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引用次数: 198

摘要

屋顶雨水的收集、储存和后续使用大大节省了饮用水的使用。本文研究了如何将降雨的时空波动纳入行为模型,以模拟雨水收集器的性能。时间变化考虑在两个不同的时间尺度,即每日和每月的间隔。第一个模型使用每天的时间间隔来建模系统性能。建立了一套适用于五个地理位置的集雨器性能曲线。从特定位置的曲线中,确定了一组平均曲线,该曲线被证明足以准确地估计雨水集热器的性能。第二个模型使用一个月的较大时间间隔。使用存储操作参数将降雨日波动的影响纳入该模型。该参数的值是通过将日模型的输出与月模型的输出进行匹配来确定的。一般情况下,使用储存库运行参数平均值的月模型预测的集热器性能与使用日时间间隔模型确定的相应值具有良好的相关性。每月模型提供了一种简单而通用的方法来模拟雨水收集器的性能。
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Modelling the performance of rainwater collection systems: towards a generalised approach

The collection of rainwater from roofs, its storage and subsequent use make a significant saving in the use of potable water. This paper investigates how spatial and temporal fluctuations in rainfall can be incorporated into behavioural models, which simulate the performance of rainwater collectors. Temporal variations are considered at two different time scales, that is daily and monthly intervals. The first model uses a daily time interval to model system performance. A set of rainwater collector performance curves for five geographic locations is developed. From the location-specific curves, a set of average curves is determined which is shown to be sufficiently accurate for estimating rainwater collector performance. The second model uses a larger time interval of one month. The effect of daily fluctuations in rainfall is incorporated into this model using a storage operating parameter. Values of the parameter were determined by matching the output from the daily model with that of the monthly model. Generally the rainwater collector performance predicted by the monthly model using average values of the storage operating parameter is shown to correlate well with the corresponding values determined using a daily time interval model. The monthly model provides a simple and versatile method of modelling the performance of rainwater collectors.

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