Decentralised water technologies
分散式水技术
基本信息
- 批准号:EP/V030515/1
- 负责人:
- 金额:$ 763.79万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2021
- 资助国家:英国
- 起止时间:2021 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This Programme Grant will accelerate the delivery of decentralised water technologies by bringing the most up-to-date bioscience and energy engineering to bear. It will re-write emerging design rules for engineering biology to ensure that off-grid environmental biotechnologies can be configured with confidence. Bespoke microbial treatment communities will be evolved using a new suite of high-throughput synthetic-biology inspired, experimental platforms. For rural populations and UK Islands and in the developing world, from sub-urban Bangkok to the Amazon and Arctic Canada, we will develop site-specific off-grid integrated heat/water technologies. We will develop low-cost sensors, real-time monitoring and adaptive control for remote distributed water infrastructure. With water technology companies, we will analyse how suites of technologies can be configured and controlled to shape new models for decentralised provision. Scottish Water will invest significantly in co-creating rural demonstrators and a mobile technology-demonstration platform for sustainable communities and with Northumbrian, Welsh Water and other utilities and stakeholders we will build momentum for a radically new low-carbon decentralised future for the water industry. Working with stakeholders, from communities to legislators, we seek to incentivise community-led infrastructure solutions and to modify regulation in ways that balance local stakeholder needs and global goals for decarbonising infrastructure. Working with professional bodies and innovation centres we will create a global centre of excellence in off-grid water provision, with the drive and passion to deliver transformational change; helping to deliver 2050 net-zero carbon and Sustainable Development Goal 6.
该计划赠款将通过引入最新的生物科学和能源工程来加速分散式水技术的交付。它将重写工程生物学的新兴设计规则,以确保离网环境生物技术可以放心配置。定制的微生物处理社区将使用一套新的高通量合成生物学启发的实验平台来发展。对于农村人口和英国岛屿以及发展中国家,从郊区曼谷到亚马逊和加拿大北极地区,我们将开发特定地点的离网综合供热/供水技术。我们将开发低成本传感器,实时监测和远程分布式水基础设施的自适应控制。与水技术公司,我们将分析如何配置和控制技术套件,以塑造分散式供应的新模式。苏格兰水务公司将大力投资于共同创建农村示范者和可持续社区的移动的技术示范平台,并与诺森伯兰郡,威尔士水务公司和其他公用事业公司和利益相关者一起,为水务行业全新的低碳分散未来建立动力。我们与从社区到立法者的利益相关者合作,寻求激励社区主导的基础设施解决方案,并以平衡当地利益相关者需求和全球基础设施脱碳目标的方式修改监管。我们将与专业机构和创新中心合作,创建一个全球离网供水卓越中心,并致力于实现转型变革;帮助实现2050年净零碳和可持续发展目标6。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Cross-sectional study of antimicrobial resistance and ecology in gastrointestinal and oral microbial communities of urban Pakistani adults
- DOI:10.1101/2022.11.05.515288
- 发表时间:2022-11
- 期刊:
- 影响因子:0
- 作者:Maria Batool;C. Keating;Sundus Javed;A. Nasir;M. Muddassar;U. Ijaz
- 通讯作者:Maria Batool;C. Keating;Sundus Javed;A. Nasir;M. Muddassar;U. Ijaz
A prospective study on linking diarrheagenic E. coli with stunted childhood growth in relation to gut microbiome.
- DOI:10.1038/s41598-023-32491-x
- 发表时间:2023-04-26
- 期刊:
- 影响因子:4.6
- 作者:Aziz, Israr;Noreen, Zobia;Ijaz, Umer Zeeshan;Gundogdu, Ozan;Hamid, Muhammad Haroon;Muhammad, Nazir;Khan, Abdullah;Bokhari, Habib
- 通讯作者:Bokhari, Habib
A comprehensive artificial neural network model for gasification process prediction
- DOI:10.1016/j.apenergy.2022.119289
- 发表时间:2022-08
- 期刊:
- 影响因子:11.2
- 作者:Simon Ascher;William Sloan;I. Watson;Siming You
- 通讯作者:Simon Ascher;William Sloan;I. Watson;Siming You
A Cross-Sectional Study of Potential Antimicrobial Resistance and Ecology in Gastrointestinal and Oral Microbial Communities of Young Normoweight Pakistani Individuals.
- DOI:10.3390/microorganisms11020279
- 发表时间:2023-01-20
- 期刊:
- 影响因子:4.5
- 作者:Batool, Maria;Keating, Ciara;Javed, Sundus;Nasir, Arshan;Muddassar, Muhammad;Ijaz, Umer Zeeshan
- 通讯作者:Ijaz, Umer Zeeshan
Machine learning methods for modelling the gasification and pyrolysis of biomass and waste
- DOI:10.1016/j.rser.2021.111902
- 发表时间:2022-01-03
- 期刊:
- 影响因子:15.9
- 作者:Ascher, Simon;Watson, Ian;You, Siming
- 通讯作者:You, Siming
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William Sloan其他文献
Groundwater recharge estimation using in-situ and GRACE observations in the eastern region of the United Arab Emirates
使用阿联酋东部地区的原地和 GRACE 观测值进行地下水补给估算
- DOI:
10.1016/j.scitotenv.2023.161489 - 发表时间:
2023-04-01 - 期刊:
- 影响因子:8.000
- 作者:
Khaled Alghafli;Xiaogang Shi;William Sloan;Mohammad Shamsudduha;Qiuhong Tang;Ahmed Sefelnasr;Abdel Azim Ebraheem - 通讯作者:
Abdel Azim Ebraheem
Investigating the role of ENSO in groundwater temporal variability across Abu Dhabi Emirate, United Arab Emirates using machine learning algorithms
利用机器学习算法研究 ENSO 在阿拉伯联合酋长国阿布扎比酋长国地下水时间变异性中的作用
- DOI:
10.1016/j.gsd.2024.101389 - 发表时间:
2025-02-01 - 期刊:
- 影响因子:5.600
- 作者:
Khaled Alghafli;Xiaogang Shi;William Sloan;Awad M. Ali - 通讯作者:
Awad M. Ali
William Sloan的其他文献
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{{ truncateString('William Sloan', 18)}}的其他基金
Optimising decentralised low-cost wastewater infrastructure by managing the microbes
通过管理微生物来优化分散式低成本废水基础设施
- 批准号:
EP/P029329/1 - 财政年份:2017
- 资助金额:
$ 763.79万 - 项目类别:
Research Grant
Predicting the acclimatisation of microbial wastewater treatment communities as a function of the environment, random immigration, birth and death
预测微生物废水处理群落的适应环境、随机移民、出生和死亡的函数
- 批准号:
EP/H009604/1 - 财政年份:2010
- 资助金额:
$ 763.79万 - 项目类别:
Research Grant
General and Unifying Concepts for Wastewater Treatment Plant Design
污水处理厂设计的通用和统一概念
- 批准号:
EP/F007868/1 - 财政年份:2008
- 资助金额:
$ 763.79万 - 项目类别:
Research Grant
Developing theory on the formation, composition and structure of open microbial communities that can be used in engineering design
发展可用于工程设计的开放微生物群落的形成、组成和结构理论
- 批准号:
EP/D073693/1 - 财政年份:2007
- 资助金额:
$ 763.79万 - 项目类别:
Fellowship
(COMIX) Coupling biofilm diversity and ecosystem functioning: The role of communication and mixing in microbial landscapes.
(COMIX)生物膜多样性与生态系统功能的耦合:微生物景观中交流和混合的作用。
- 批准号:
NE/D522211/1 - 财政年份:2006
- 资助金额:
$ 763.79万 - 项目类别:
Research Grant
Technology Transfer to Small Communities Antarctic Waste Management Program
南极废物管理小社区技术转让计划
- 批准号:
9632915 - 财政年份:1996
- 资助金额:
$ 763.79万 - 项目类别:
Standard Grant
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