Computational Design Methods for Clean Water Systems in Remote Communities

偏远社区清洁水系统的计算设计方法

基本信息

  • 批准号:
    RGPIN-2015-05325
  • 负责人:
  • 金额:
    $ 1.6万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2018
  • 资助国家:
    加拿大
  • 起止时间:
    2018-01-01 至 2019-12-31
  • 项目状态:
    已结题

项目摘要

Providing reliable, clean water is one of the greatest engineering challenges our society faces. This is a challenge for remote locations both in the developing world and in Canada. Currently, many remote communities rely on drawing water from multiple sources that is often contaminated with bacteria and dissolved salts. This water typically requires purification or desalination, which is lacking in remote communities, to meet World Health Organization standards [1].****This proposal is part of a long-term program to develop clean water systems with higher efficiencies, lower costs, and robustness to variable operating conditions.  The five year research program proposed here has two short-term focuses. The first focus is to develop computer-based design tools for photovoltaic reverse osmosis systems (PVRO) and to integrate these technologies into the water system for a remote community. The second focus is to apply the design methods to develop prototype PVRO systems which are appropriate for remote locations.****Designing an integrated water solution for a remote community is a challenge as each community requires a custom system to best accommodate their own unique water needs, water sources, and energy sources. Unfortunately, custom design is expensive and beyond the reach of many such communities. This research program will develop computer-based design methods to aid in the configuration of water systems for remote communities. These methods will use physical models to analyze availability of different water sources, such as PVRO, cisterns, and wells, and use them in an optimization framework to determine the lowest cost system that meets the desired system performance.****PVRO systems have been developed to provide water to remote locations. Unfortunately, previous systems have reduced efficiency and high costs due to the incorporation of batteries and limitations in components available for community-scale applications, such as energy recovery devices. This research will use the computer-based design tools to develop an efficient PVRO system that eliminates batteries by varying the system operation to match the available solar power. In this approach, expensive energy storage is replaced by inexpensive water storage to deal with solar fluctuations. To enable this approach, a tailored energy recovery device and a control system will be developed to maximize the water production for the batteryless PVRO system.***This research will develop both physical water system technologies and computer-based tools to aid in the design of water systems for remote communities. These integrated water systems have the potential to provide a reliable clean drinking water supply and make a positive impact on the quality of life for more than 700 million people who lack access to clean drinking water [1].
提供可靠、清洁的水是我们社会面临的最大工程挑战之一,这对于发展中国家和加拿大的偏远地区来说都是一个挑战。目前,许多偏远社区依赖从多个水源获取水,而这些水源往往受到细菌污染。这些水通常需要净化或海水淡化,以满足世界卫生组织的标准[1]。****该提案是开发清洁水系统的长期计划的一部分。这里提出的五年研究计划有两个短期重点:开发基于计算机的光伏反渗透系统(PVRO)设计工具并进行集成。第二个重点是应用设计方法来开发适合偏远地区的原型 PVRO 系统。****设计集成供水解决方案。对于偏远社区来说这是一个挑战,因为每个社区都需要定制系统来最好地满足自己独特的水需求、水源和能源,不幸的是,定制设计成本高昂,超出了许多此类社区的能力范围。基于计算机的设计方法可帮助偏远社区配置供水系统。这些方法将使用物理模型来分析不同水源(例如 PVRO、蓄水池和水井)的可用性,并将其用于优化框架中。确定满足所需系统性能的最低成本系统。****PVRO 系统的开发目的是向偏远地区供水。不幸的是,由于采用了电池以及可用组件的限制,以前的系统效率降低且成本高昂。该研究将使用基于计算机的设计工具来开发高效的 PVRO 系统,该系统通过改变系统操作来匹配可用的太阳能来消除电池。被取代为了实现这种方法,将开发定制的能量回收装置和控制系统,以最大限度地提高无电池 PVRO 系统的产水量。***这项研究将开发物理水系统技术。以及基于计算机的工具,帮助为偏远社区设计供水系统。这些综合供水系统有潜力提供可靠的清洁饮用水供应,并对超过 7 亿人的生活质量产生积极影响。无法获得清洁饮用水的人[1]。

项目成果

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Bilton, Amy其他文献

Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature
  • DOI:
    10.1016/j.worlddev.2021.105599
  • 发表时间:
    2021-06-17
  • 期刊:
  • 影响因子:
    6.9
  • 作者:
    Ruzzante, Sacha;Labarta, Ricardo;Bilton, Amy
  • 通讯作者:
    Bilton, Amy
Prediction of greenhouse gas emissions reductions via machine learning algorithms: Toward an artificial intelligence-based life cycle assessment for automotive lightweighting
  • DOI:
    10.1016/j.susmat.2021.e00370
  • 发表时间:
    2022-04-01
  • 期刊:
  • 影响因子:
    9.6
  • 作者:
    Akhshik, Masoud;Bilton, Amy;Sain, Mohini
  • 通讯作者:
    Sain, Mohini

Bilton, Amy的其他文献

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{{ truncateString('Bilton, Amy', 18)}}的其他基金

A Passive Drip Irrigation Controller for Efficient Water Use
用于高效用水的被动滴灌控制器
  • 批准号:
    571265-2022
  • 财政年份:
    2021
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Idea to Innovation
Computational Design Methods for Clean Water Systems in Remote Communities
偏远社区清洁水系统的计算设计方法
  • 批准号:
    RGPIN-2015-05325
  • 财政年份:
    2021
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Computational Design Methods for Clean Water Systems in Remote Communities
偏远社区清洁水系统的计算设计方法
  • 批准号:
    RGPIN-2015-05325
  • 财政年份:
    2020
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Computational Design Methods for Clean Water Systems in Remote Communities
偏远社区清洁水系统的计算设计方法
  • 批准号:
    RGPIN-2015-05325
  • 财政年份:
    2019
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Computational Design Methods for Clean Water Systems in Remote Communities
偏远社区清洁水系统的计算设计方法
  • 批准号:
    RGPIN-2015-05325
  • 财政年份:
    2017
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Computational Design Methods for Clean Water Systems in Remote Communities
偏远社区清洁水系统的计算设计方法
  • 批准号:
    RGPIN-2015-05325
  • 财政年份:
    2016
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Design and optimization of a pico turbine for water disinfection systems
用于水消毒系统的微型涡轮机的设计和优化
  • 批准号:
    485638-2015
  • 财政年份:
    2015
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Engage Grants Program
Computational Design Methods for Clean Water Systems in Remote Communities
偏远社区清洁水系统的计算设计方法
  • 批准号:
    RGPIN-2015-05325
  • 财政年份:
    2015
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual

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