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Simulation based programming for optimization of large-scale rainwater harvesting system: Malaysia case study

机译:基于仿真的大型雨水收集系统优化编程:马来西亚案例研究

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摘要

Large scale rainwater harvesting (LSRWH) is a promising alternative to address security and flood issues in urban areas. The development and planning of a LSRWH for an eco-community involves comprehensive site-planning, systems planning and design, which includes the rainwater source collection (roof) to the storage tank, the distribution and allocation system. This paper describes a new technique for designing a LSRWH for a community of 200 houses with an average of 4 persons per house and an average total daily water demand of 160 m~3. It was found that the optimal size storage tank for a 20,000 m~2 roof area is 160 m~3 with a 60% reliability. The application of this model to the case study revealed a significant water saving up to 58%.The total cost for this system is 443,861 USD over a life-span of 25 years.
机译:大规模雨水收集(LSRWH)是解决城市地区安全和洪水问题的有前途的替代方法。为生态社区开发和规划LSRWH涉及全面的场地规划,系统规划和设计,其中包括到储水箱的雨水源收集(屋顶),分配和分配系统。本文介绍了一种为200个房屋的社区设计LSRWH的新技术,每个房屋平均4个人,平均每日总需水量为1​​60 m〜3。结果发现,对于20,000 m〜2的屋顶面积,最佳尺寸的储罐为160 m〜3,可靠性为60%。该模型在案例研究中的应用表明,节水高达58%,在25年的使用寿命中,该系统的总成本为443,861美元。

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