Understanding and optimization of the plug-flow enzymatic hydrolysis process for sludge anaerobic digestion performance enhancement
Understanding and optimization of the plug-flow enzymatic hydrolysis process for sludge anaerobic digestion performance enhancement
批准号:
484723-2015
负责人:
Chang, Sheng
金额:
$3.64万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The recent paradigm shift to consider municipal wastewater as the valuable energy and nutrient sources has largely stimulated research interests in the anaerobic digestion: a key technology to recover clean energy from sludge generated in biological wastewater treatment . Foreseeing the critical importance of the hydrolysis pre-treatment to enhance the energy recovery of anaerobic digestion, GE Water and Process Technologies (GE WPT) has recently acquired the Monsal Enzymatic Hydrolysis (EH) technology, for its waste to energy solutions. In order to further proliferate the EH technology to the global market through GE's commercial and execution capability, GE WPT, Oakville, is leading an effort to further optimize the EH design to confront competitions of other technologies in the global market. Optimization of the EH process needs to develop a deep understanding of the process mechanisms, principles of enzymatic hydrolysis reactions, and effect of key design parameters. In this project, we will investigate the effect of key process factors of the EH on the hydrolysis performance and biogas production, characterize properties of hydrolysis enzymes produced in the EH process, and explore methods to enhance the performance of the EH via the supplement of enzymes. The project will involve the bench-scale hydrolysis and biochemical methane potential (BMP) studies to identify the optimal EH process design and operation conditions and the pilot-scale study to evaluate the conditions identified by the optimal conditions for the EH process design optimization and product management. The outcomes of this project will exert critical impacts on the optimization of GE's EH product; the EH process simulation and product cost analysis; and the expansion of the applications of the EH technology in the global market. In addition, the development of the advanced EH technology will contribute to Canada's commitment to the greenhouse gas (GHG) emission reduction via advancing the renewable energy production technology and reducing the energy consumption related to wastewater treatment.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Development of the advanced anaerobic digestion technology for the energy recovery and emission reduction
-
批准号:RGPIN-2017-04533
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.53万
-
财政年份:2022
-
负责人:Chang, Sheng
-
依托单位:
Development of the advanced anaerobic digestion technology for the energy recovery and emission reduction
-
批准号:RGPIN-2017-04533
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.53万
-
财政年份:2021
-
负责人:Chang, Sheng
-
依托单位:
Development of the advanced anaerobic digestion technology for the energy recovery and emission reduction
-
批准号:RGPIN-2017-04533
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.53万
-
财政年份:2020
-
负责人:Chang, Sheng
-
依托单位:
Development of the advanced anaerobic digestion technology for the energy recovery and emission reduction
-
批准号:RGPIN-2017-04533
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.53万
-
财政年份:2019
-
负责人:Chang, Sheng
-
依托单位:
Development of the advanced anaerobic digestion technology for the energy recovery and emission reduction
-
批准号:RGPIN-2017-04533
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.53万
-
财政年份:2018
-
负责人:Chang, Sheng
-
依托单位:
Development of the advanced anaerobic digestion technology for the energy recovery and emission reduction
-
批准号:RGPIN-2017-04533
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.53万
-
财政年份:2017
-
负责人:Chang, Sheng
-
依托单位:
Understanding and optimization of the plug-flow enzymatic hydrolysis process for sludge anaerobic digestion performance enhancement
-
批准号:484723-2015
-
项目类别:Collaborative Research and Development Grants
-
资助金额:$2.19万
-
财政年份:2016
-
负责人:Chang, Sheng
-
依托单位:
国内基金
海外基金
登录
查看更多内容
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
-
批准号:--
-
项目类别:合作创新研究团队
-
资助金额:--
-
批准年份:2024
-
负责人:姚韬
-
依托单位:
基于异构医学影像数据的深度挖掘技术及中枢神经系统重大疾病的精准预测
-
批准号:61672236
-
项目类别:面上项目
-
资助金额:64.0万元
-
批准年份:2016
-
负责人:王骏
-
依托单位:
内容分发网络中的P2P分群分发技术研究
-
批准号:61100238
-
项目类别:青年科学基金项目
-
资助金额:20.0万元
-
批准年份:2011
-
负责人:郑小盈
-
依托单位:
微生物发酵过程的自组织建模与优化控制
-
批准号:60704036
-
项目类别:青年科学基金项目
-
资助金额:21.0万元
-
批准年份:2007
-
负责人:高学金
-
依托单位:
天然生物材料的多尺度力学与仿生研究
-
批准号:10732050
-
项目类别:重点项目
-
资助金额:200.0万元
-
批准年份:2007
-
负责人:冯西桥
-
依托单位:
供应链管理中的稳健型(Robust)策略分析和稳健型优化(Robust Optimization )方法研究
-
批准号:70601028
-
项目类别:青年科学基金项目
-
资助金额:7.0万元
-
批准年份:2006
-
负责人:王明征
-
依托单位:
气动/结构耦合动力学系统目标敏感性分析的快速准确计算方法及优化设计研究
-
批准号:10402036
-
项目类别:青年科学基金项目
-
资助金额:21.0万元
-
批准年份:2004
-
负责人:杨旭东
-
依托单位: