Optimal sizing of rainwater harvesting systems for domestic water usages: A systematic literature review

Q1 Economics, Econometrics and Finance
Mary Semaan , Susan D. Day , Michael Garvin , Naren Ramakrishnan , Annie Pearce
{"title":"Optimal sizing of rainwater harvesting systems for domestic water usages: A systematic literature review","authors":"Mary Semaan ,&nbsp;Susan D. Day ,&nbsp;Michael Garvin ,&nbsp;Naren Ramakrishnan ,&nbsp;Annie Pearce","doi":"10.1016/j.rcrx.2020.100033","DOIUrl":null,"url":null,"abstract":"<div><p>Rainwater harvesting systems (RWHS) are increasing in popularity because of their ability to alleviate water pressure on centralized systems, minimize or delay rainfall runoff, and fit relatively easily in both the centralized/decentralized infrastructure organization. Adequately sizing RWHS is critical to optimizing their operation because under-sizing results in systems that are unable to provide a sufficient, reliable source of water while oversizing increases the capital costs incurred with limited marginal benefits and poses potential water quality risks.</p><p>In this paper, we conduct a systematic literature review to assess the state-of-art in the field of optimization of domestic rainwater harvesting systems. Sizing of storage is identified as the most important objective of optimization, yet sizing for cost is the most frequently implemented outcome of optimization. Optimizing for a local maximum is often favored over simulation-based optimization methods that produce global maxima. To derive more realistic sizing estimates, future optimization studies will have to take into account greater variation in water demands as well as various climate change scenarios, especially given that rainfall frequency and quantity are critical design variables of a rainwater harvesting system.</p></div>","PeriodicalId":36714,"journal":{"name":"Resources, Conservation and Recycling: X","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rcrx.2020.100033","citationCount":"62","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resources, Conservation and Recycling: X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590289X20300049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 62

Abstract

Rainwater harvesting systems (RWHS) are increasing in popularity because of their ability to alleviate water pressure on centralized systems, minimize or delay rainfall runoff, and fit relatively easily in both the centralized/decentralized infrastructure organization. Adequately sizing RWHS is critical to optimizing their operation because under-sizing results in systems that are unable to provide a sufficient, reliable source of water while oversizing increases the capital costs incurred with limited marginal benefits and poses potential water quality risks.

In this paper, we conduct a systematic literature review to assess the state-of-art in the field of optimization of domestic rainwater harvesting systems. Sizing of storage is identified as the most important objective of optimization, yet sizing for cost is the most frequently implemented outcome of optimization. Optimizing for a local maximum is often favored over simulation-based optimization methods that produce global maxima. To derive more realistic sizing estimates, future optimization studies will have to take into account greater variation in water demands as well as various climate change scenarios, especially given that rainfall frequency and quantity are critical design variables of a rainwater harvesting system.

家庭用水的雨水收集系统的最佳尺寸:系统的文献综述
雨水收集系统(RWHS)越来越受欢迎,因为它们能够减轻集中式系统的水压,最大限度地减少或延迟降雨径流,并且相对容易适用于集中式/分散式基础设施组织。适当的RWHS规模对于优化其运行至关重要,因为规模过小会导致系统无法提供充足、可靠的水源,而规模过大则会增加资本成本,边际效益有限,并带来潜在的水质风险。在本文中,我们进行了系统的文献综述,以评估国内雨水收集系统优化领域的最新进展。存储的大小确定为优化的最重要的目标,然而根据成本进行大小调整是优化中最常实现的结果。与产生全局最大值的基于模拟的优化方法相比,对局部最大值的优化通常更受青睐。为了得出更现实的规模估计,未来的优化研究将不得不考虑更大的水需求变化以及各种气候变化情景,特别是考虑到降雨频率和数量是雨水收集系统的关键设计变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Resources, Conservation and Recycling: X
Resources, Conservation and Recycling: X Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
14.50
自引率
0.00%
发文量
0
审稿时长
17 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信