{"title":"Development of an analytical solution for optimum design of RWH systems—A case study in Guangzhou","authors":"Chen Shiguang, Sun Hongwei, Chen Xuebin","doi":"10.1111/wej.12920","DOIUrl":null,"url":null,"abstract":"The implementation of rainwater harvesting (RWH) has emerged as a key strategy to cope with the water crisis in urban areas. However, the required design parameters of the RWH system in different buildings vary widely because of the differences in architectural characteristics. In this paper, the relationships between the building characteristics parameters and the optimal tank (<jats:italic>T</jats:italic><jats:sub>c</jats:sub>) capacity are investigated by simulating the RWH system for more than 120 buildings at different locations in Guangzhou. Explicit expressions relating the optimal storage volume of RWH systems to building characteristics are derived based on nonlinear regression analysis. A set of bivariate exponential equations for estimating the optimal tank size under different building conditions was obtained. The model has a MER of less than 10% for buildings with a C/D ratio between 17.5 and 85. In Guangzhou, the unit cost of an RWH system can be reduced to CNY 2.62/m<jats:sup>2</jats:sup> with optimally designed tanks.","PeriodicalId":23753,"journal":{"name":"Water and Environment Journal","volume":"11 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water and Environment Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1111/wej.12920","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The implementation of rainwater harvesting (RWH) has emerged as a key strategy to cope with the water crisis in urban areas. However, the required design parameters of the RWH system in different buildings vary widely because of the differences in architectural characteristics. In this paper, the relationships between the building characteristics parameters and the optimal tank (Tc) capacity are investigated by simulating the RWH system for more than 120 buildings at different locations in Guangzhou. Explicit expressions relating the optimal storage volume of RWH systems to building characteristics are derived based on nonlinear regression analysis. A set of bivariate exponential equations for estimating the optimal tank size under different building conditions was obtained. The model has a MER of less than 10% for buildings with a C/D ratio between 17.5 and 85. In Guangzhou, the unit cost of an RWH system can be reduced to CNY 2.62/m2 with optimally designed tanks.
期刊介绍：
Water and Environment Journal is an internationally recognised peer reviewed Journal for the dissemination of innovations and solutions focussed on enhancing water management best practice. Water and Environment Journal is available to over 12,000 institutions with a further 7,000 copies physically distributed to the Chartered Institution of Water and Environmental Management (CIWEM) membership, comprised of environment sector professionals based across the value chain (utilities, consultancy, technology suppliers, regulators, government and NGOs). As such, the journal provides a conduit between academics and practitioners. We therefore particularly encourage contributions focussed at the interface between academia and industry, which deliver industrially impactful applied research underpinned by scientific evidence. We are keen to attract papers on a broad range of subjects including:
-Water and wastewater treatment for agricultural, municipal and industrial applications
-Sludge treatment including processing, storage and management
-Water recycling
-Urban and stormwater management
-Integrated water management strategies
-Water infrastructure and distribution
-Climate change mitigation including management of impacts on agriculture, urban areas and infrastructure
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