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:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
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。这对发展中国家和加拿大的偏远地区都是一个挑战。目前,许多偏远社区依赖从多个水源取水,这些水源往往受到细菌和溶解盐的污染。这些水通常需要净化或脱盐才能达到世界卫生组织的标准,而这在偏远社区是缺乏的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
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
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ 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: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:2018
- 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
相似国自然基金
Applications of AI in Market Design
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国青年学者研 究基金项目
基于“Design-Build-Test”循环策略的新型紫色杆菌素组合生物合成研究
- 批准号:
- 批准年份:2021
- 资助金额:0.0 万元
- 项目类别:省市级项目
在噪声和约束条件下的unitary design的理论研究
- 批准号:12147123
- 批准年份:2021
- 资助金额:18 万元
- 项目类别:专项基金项目
相似海外基金
CAREER: Computational Design of Fluorescent Proteins with Multiscale Excited State QM/MM Methods
职业:利用多尺度激发态 QM/MM 方法进行荧光蛋白的计算设计
- 批准号:
2338804 - 财政年份:2024
- 资助金额:
$ 1.6万 - 项目类别:
Continuing Grant
Novel Computational Methods for Design Under Uncertainty with Arbitrary Dependent Probability Distributions
具有任意相关概率分布的不确定性设计的新颖计算方法
- 批准号:
2317172 - 财政年份:2023
- 资助金额:
$ 1.6万 - 项目类别:
Standard Grant
CAREER: Development of Adaptive and Efficient Computational Inverse Design Methods for Organic Functional Materials
职业:有机功能材料自适应高效计算逆向设计方法的开发
- 批准号:
2339804 - 财政年份:2023
- 资助金额:
$ 1.6万 - 项目类别:
Standard Grant
CDS&E: Enabling Quantum Technology Design Optimization Using Large-Scale Quantum Information Preserving Computational Electromagnetics Methods
CDS
- 批准号:
2202389 - 财政年份:2022
- 资助金额:
$ 1.6万 - 项目类别:
Standard Grant
Development of Computational Methods to Support Human Ability in Engineering Design
开发支持人类工程设计能力的计算方法
- 批准号:
557892-2021 - 财政年份:2022
- 资助金额:
$ 1.6万 - 项目类别:
Postgraduate Scholarships - Doctoral
Computational high throughput screening methods and data driven materials design
计算高通量筛选方法和数据驱动的材料设计
- 批准号:
RGPIN-2019-06867 - 财政年份:2022
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
Computational high throughput screening methods and data driven materials design
计算高通量筛选方法和数据驱动的材料设计
- 批准号:
RGPIN-2019-06867 - 财政年份:2021
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
Development of Computational Methods to Support Human Ability in Engineering Design
开发支持人类工程设计能力的计算方法
- 批准号:
557892-2021 - 财政年份:2021
- 资助金额:
$ 1.6万 - 项目类别:
Postgraduate Scholarships - Doctoral
CAREER: Computational design of sustainable hydrogenation systems via a novel combination of data science, optimization, and ab initio methods
职业:通过数据科学、优化和从头算方法的新颖组合进行可持续加氢系统的计算设计
- 批准号:
2045550 - 财政年份:2021
- 资助金额:
$ 1.6万 - 项目类别:
Continuing Grant
Computational methods for modeling and design of complex engineering systems under uncertainty
不确定性下复杂工程系统建模与设计的计算方法
- 批准号:
RGPIN-2016-06330 - 财政年份:2021
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual














{{item.name}}会员




