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Minimum cost solution to residential energy-water nexus through rainwater harvesting and greywater recycling

机译:通过雨水收获和灰水回收的住宅能源 - 水Nexus的最低成本解决方案

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This paper presents an integrated rainwater harvesting and greywater recycling system to tackle the energy-water nexus in residences with unreliable water and electricity supply. The system is made up of the municipal water and energy supplies, a rainwater harvesting system and a greywater recycling system to supply the residential water demand. A combined sizing and operational optimization approach is developed. In particular, a mixed integer linear programming model is formulated to determine the optimal sizes of the water tanks and optimal operation of pumps to reduce potable water consumption and electricity cost under the time-of-use tariff. The model formulated is applied to a practical case study of a single-family house in Durban, Kwa-Zulu Natal province of South Africa. Simulations results with measured rainfall intensity over five years show that the proposed integrated rainwater harvesting and greywater recycling system is beneficial for the household in terms of both water savings and financial cost savings with an acceptable payback period of 4.39 years. To investigate the validity of the results obtained in different applications, a sensitivity analysis was performed concerning uncertainties in water demand, rainfall intensity, the cost of electricity and discount rate. The findings confirm that the model developed is robust against uncertainties in these parameters. It is also concluded that payback period of the project can be even shorter if applied to a case with a higher water demand. (c) 2021 Elsevier Ltd. All rights reserved.
机译:本文提出一种集成的雨水收集和中水回收系统,以解决与不可靠的水,电供应住宅能源 - 水关系。该系统由市政供水和能源供应,雨水收集系统和中水回收系统供应居民用水需求了。一个组合的尺寸和操作优化方法的发展。具体地,线性编程模型的混合整数被配制以确定水罐和泵的最佳操作的最佳大小,以减少时间的使用资费下饮用水消耗和电力成本。制定该模型适用于南非德班的土瓜湾 - 祖鲁纳塔尔省的一个独栋别墅的实际案例。与实测降雨强度的模拟结果五年表明,该集成的雨水收集和中水回收系统是家庭与4.39年可接受回收期储蓄和财务成本的节约用水两方面是有利的。为了研究在不同的应用中获得的结果的有效性,关于水的需求,降雨强度,电力和折现率的不确定性成本进行敏感性分析。调查结果证实,开发的模型反对这些参数不确定性的鲁棒性。它也认为,如果适用于具有较高的水需求的情况下,该项目的投资回收期可能更短。 (c)2021 elestvier有限公司保留所有权利。

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