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Spatially optimized distribution of household rainwater harvesting and greywater recycling systems

机译:家用雨水收集和灰水循环系统的空间优化分布

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Household decentralized water systems, including rainwater harvesting and greywater recycling, are often touted as a means to improve the sustainability and resiliency of centralized municipal systems. This research is focused on the spatial distributions of life cycle energy savings, consumer cost savings, and percent demand met of decentralized, household rainwater harvesting (RWH) and greywater recycling (GWR) system adoptions when they are being optimized for either life cycle cost or energy savings. The city of Boston was used as a testbed for applying the modeling framework in this study. A dynamic model was developed for both RWH and GWR systems to simulate daily water and energy usages and savings over a 30-year time frame using Python. The cost and energy optimal sizes of the RWH and GWR systems for each residential building in Boston were calculated using the Brent's method. Household characteristics such as distance from the centralized plants, number of tenants, and roof size were either directly obtained through Boston GIS data or approximated based upon existing data. Overall, GWR systems were found to perform generally better than RWH systems across the entire Boston. An average life cycle cost saving of $909-948/year and an average life cycle energy saving of 586-622 MJ/year can be achieved via installing cost- or energy-optimized GWR systems. The middle city area is generally good for both RWH and GWR system adoptions from both cost and energy perspectives. Incentives might be provided to foster decentralized system adoptions with infrastructure renovation efforts in this area. On the other hand, the southern sub-urban areas are generally the most suitable for installing RWH systems, while the downtown and its surrounding areas are generally the most suitable for promoting GWR systems. When taking stormwater management into consideration, the downtown area can also benefit from combined RWH and GWR systems as well as shared systems with local parks or other buildings with larger irrigation demands.
机译:家庭分散的水系统,包括雨水收获和灰水回收,通常被吹捧为提高集中式市系统可持续性和弹性的手段。该研究专注于生命周期能源节省,消费成本节约的空间分布,消费成本节约和百分比,达到分散,家庭雨水收集(RWH)和Greywater回收(GWR)系统的采用,以便为生命周期成本进行优化,或者节能。波士顿市被用作在本研究中应用建模框架的测试台。为RWH和GWR系统开发了一种动态模型,用于使用Python模拟日常水和能源使用量和节省30年的时间范围。使用Brent的方法计算波士顿每个住宅建筑的RWH和GWR系统的成本和能量最佳尺寸。家庭特征,如距离集中植物,租户数量和屋顶尺寸的距离是通过波士顿GIS数据直接获得的,或者基于现有数据近似。总体而言,在整个波士顿的RWH系统中发现GWR系统通常比RWH系统更好。通过安装成本或能量优化的GWR系统,可以实现平均生命周期节水909-948美元/年和平均生命周期节能586-622 MJ /年。中城区对于RWH和GWR系统的采用均可从两种成本和能源观点采用。可能会提供激励措施,以促进该地区的基础设施改造努力的分散制度采用。另一方面,南部市区地区通常是安装RWH系统最适合的,而市中心及其周边地区通常是最适合推广GWR系统的。在考虑雨水管理时,市中心也可以从RWH和GWR系统组合中受益以及带有较大灌溉需求的当地公园或其他建筑物的共用系统。

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