i-CREW-International Collaboration for Optimisation of Resource Recovery from Wastewater
i-CREW-废水资源回收优化国际合作
基本信息
- 批准号:NE/W003627/1
- 负责人:
- 金额:$ 10.7万
- 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:已结题
- 来源:
- 关键词:
项目摘要
To achieve a sustainable circular economy, recovery and recycling of useful resources needs to be prioritized. Metal contaminated industrial waste streams post great health and ecological concerns, but they are also a valuable source for recovery of useful resources like metals. Traditional metal recovery technologies involve high energy consumption and are chemically intensive. Bioelectrochemical systems such as microbial fuel cells (MFCs) have emerged as a new sustainable technology platform for removal and recovery of metal ions from industrial wastewaters. MFCs combine treatment of organic wastewater by microbial biofilms at the anode with the reduction of metal ions from metal-laden waste streams at cathode. So far, recovery of several metal ions like Cobalt, Chromium, Copper, Gold, Silver, Selenium, Vanadium, Zinc, etc., has been demonstrated. Though promising, metal recovery using MFCs is a complex process and depends on large number of operational and design parameters such as, pH, redox potential of the metal ion, type of electrode materials, initial concentration of metal ions in the wastewater, etc. To optimize the process and maximize metal recovery using MFCs, more research is needed to understand the role of different determinant factors influencing the process. In this international collaborative project, we combine the strengths of two world leading research groups based in UK and India, to develop a robust predictive optimisation tool that can be used to determine the design and operating conditions to maximize the recovery of metals from wastewaters. University of Surrey researchers, Dr. Siddharth Gadkari and Dr. Jhuma Sadhukhan, would develop the comprehensive mathematical models for process optimisation based on the experimental data from the laboratory of Dr. S Venkata Mohan.
要实现可持续的循环经济,需要优先回收和循环利用有用资源。金属污染的工业废流带来了巨大的健康和生态问题,但它们也是回收金属等有用资源的宝贵来源。传统的金属回收技术能耗高、化学密集型。微生物燃料电池(MFCs)等生物电化学系统是去除和回收工业废水中金属离子的一种新的可持续技术平台。MFC结合了在阳极处利用微生物生物膜处理有机废水,在阴极处减少含金属废液中的金属离子。目前已对钴、铬、铜、金、银、硒、钒、锌等多种金属离子进行了回收。尽管MFC回收金属的前景看好,但它是一个复杂的过程,依赖于大量的操作和设计参数,如pH、金属离子的氧化还原电位、电极材料的类型、废水中金属离子的初始浓度等。为了优化MFC回收金属的过程并最大限度地提高金属回收率,需要更多的研究来了解影响该过程的不同决定因素的作用。在这个国际合作项目中,我们结合了位于英国和印度的两个世界领先的研究小组的优势,开发了一种强大的预测优化工具,可用于确定设计和操作条件,以最大限度地从废水中回收金属。萨里大学的研究人员Siddharth Gadkari博士和Jhuma Sadhukhan博士将基于S·文卡塔·莫汉博士的实验室的实验数据,开发用于工艺优化的综合数学模型。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Hexavalent chromium waste removal via bioelectrochemical systems - a life cycle assessment perspective.
- DOI:10.1039/d3ew00344b
- 发表时间:2023-09-28
- 期刊:
- 影响因子:5
- 作者:Muazu, Rukayya Ibrahim;Sadhukhan, Jhuma;Mohan, S. Venkata;Gadkari, Siddharth
- 通讯作者:Gadkari, Siddharth
Integrated biorefinery for bioethanol and succinic acid co-production from bread waste: Techno-economic feasibility and life cycle assessment
利用面包废料联产生物乙醇和琥珀酸的综合生物精炼厂:技术经济可行性和生命周期评估
- DOI:10.1016/j.enconman.2023.118033
- 发表时间:2024
- 期刊:
- 影响因子:10.4
- 作者:Hafyan R
- 通讯作者:Hafyan R
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Siddharth Gadkari其他文献
Application of artificial intelligence methods for the optimization and control of bioelectrochemical systems
- DOI:
10.1016/b978-0-323-90765-1.00023-x - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Siddharth Gadkari - 通讯作者:
Siddharth Gadkari
Energy System Optimization for Net-Zero Electricity
能源系统优化实现净零电力
- DOI:
10.1016/j.dche.2022.100026 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
J. Sadhukhan;Sohum Sen;T. Randriamahefasoa;Siddharth Gadkari - 通讯作者:
Siddharth Gadkari
A comparative techno-economic feasibility of hydrogen production from sugarcane bagasse and bread waste
甘蔗渣和面包废弃物制氢的技术经济可行性比较
- DOI:
10.1016/j.fuel.2025.134469 - 发表时间:
2025-05-15 - 期刊:
- 影响因子:7.500
- 作者:
Rendra Hakim Hafyan;Jhuma Sadhukhan;Vinod Kumar;Sunil K. Maity;Siddharth Gadkari - 通讯作者:
Siddharth Gadkari
Thermal runaway behaviour of a cylindrical lithium-ion battery during charge and discharge processes: A comprehensive numerical study
- DOI:
10.1016/j.ijheatmasstransfer.2024.126499 - 发表时间:
2025-03-01 - 期刊:
- 影响因子:
- 作者:
Tengfei He;Siddharth Gadkari;Teng Zhang;Zhirong Wang;Jialong Liu;Junling Wang;Ning Mao;Jinglong Bai;Qiong Cai - 通讯作者:
Qiong Cai
The Mathematics of life cycle sustainability assessment
生命周期可持续性评估的数学
- DOI:
10.1016/j.jclepro.2021.127457 - 发表时间:
2021 - 期刊:
- 影响因子:11.1
- 作者:
J. Sadhukhan;Sohum Sen;Siddharth Gadkari - 通讯作者:
Siddharth Gadkari
Siddharth Gadkari的其他文献
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{{ truncateString('Siddharth Gadkari', 18)}}的其他基金
Mathematical analysis of bioelectrochemical systems
生物电化学系统的数学分析
- 批准号:
NE/R013306/1 - 财政年份:2018
- 资助金额:
$ 10.7万 - 项目类别:
Fellowship
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