Extremum-seeking control for power consumption minimization in gas liquifiers
气体液化器功耗最小化的极值搜索控制
基本信息
- 批准号:470348-2014
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 财政年份:2014
- 资助国家:加拿大
- 起止时间:2014-01-01 至 2015-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Praxair's industrial gas business is very energy intensive. Any technology that achieves a reduction of Praxair's operational electricity consumption would have a large financial impact. The main process to liquefy large amounts of gaseous Nitrogen is through a series of compressors and turbines coupled with a multiple core Heat Exchanger. The combination of such operations is called a Liquefier. The liquefier process is a very highly energy intensive one; as such, even a small reduction (1%) in the total electricity usage will be very attractive to Praxair and electricity companies. While Praxair is always looking for ways to reduce energy consumption, currently there is no systematic and efficient way to optimize the liquefier operations; as such, it is the belief of Praxair that the research conducted by Dr. Martin Guay, in the area of extremum seeking control, is of high relevance to increasing the efficiency of Praxair Liquefier operations. In liquefier operations, there are multiple variables that can be optimized; however, the largest impact in electricity consumption is associated with a relatively small number of optimization variables. Therefore the determination of the optimal values of such variables, at a given plant production rate and temperature conditions, will minimize the electricity consumption and will lead to optimal operation.
普莱克斯的工业气体业务是能源密集型业务。任何能够降低普莱克斯运营用电的技术都将产生巨大的财务影响。液化大量气态氮的主要过程是通过一系列压缩机和涡轮机以及多芯热交换器。这些操作的组合被称为液化器。液化过程是一个非常高能耗的过程;因此,对普莱克斯和电力公司来说,即使是总用电量的一小部分减少(1%)也非常有吸引力。虽然普莱克斯一直在寻找降低能耗的方法,但目前还没有系统有效的方法来优化液化装置的操作;因此,普莱克斯相信Martin Guay博士在极值寻求控制领域进行的研究与提高普莱克斯液化装置的运营效率高度相关。在液化器操作中,有多个变量可以优化;然而,对电力消耗的最大影响与相对较少的优化变量有关。因此,在给定的工厂生产率和温度条件下,确定这些变量的最优值将使电力消耗最小化,并导致最佳运行。
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)
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Guay, Martin其他文献
Finite-time parameter estimation in adaptive control of nonlinear systems
- DOI:
10.1109/tac.2008.919568 - 发表时间:
2008-04-01 - 期刊:
- 影响因子:6.8
- 作者:
Adetola, Veronica;Guay, Martin - 通讯作者:
Guay, Martin
Extremum Seeking Control for Discrete-Time with Quantized and Saturated Actuators
- DOI:
10.3390/pr7110831 - 发表时间:
2019-11-01 - 期刊:
- 影响因子:3.5
- 作者:
Guay, Martin;Burns, Daniel J. - 通讯作者:
Burns, Daniel J.
Adaptive model predictive control for constrained nonlinear systems
- DOI:
10.1016/j.sysconle.2008.12.002 - 发表时间:
2009-05-01 - 期刊:
- 影响因子:2.6
- 作者:
Adetol, Veronica;DeHaan, Darryl;Guay, Martin - 通讯作者:
Guay, Martin
Guay, Martin的其他文献
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{{ truncateString('Guay, Martin', 18)}}的其他基金
Optimization and Control in Large-scale Uncertain Processes
大规模不确定过程的优化与控制
- 批准号:
RGPIN-2019-05205 - 财政年份:2022
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Distributed real-time optimization for energy efficiency in uncertain large scale building systems
不确定大型建筑系统中能源效率的分布式实时优化
- 批准号:
543836-2019 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Collaborative Research and Development Grants
Optimization and Control in Large-scale Uncertain Processes
大规模不确定过程的优化与控制
- 批准号:
RGPIN-2019-05205 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Optimization and Control in Large-scale Uncertain Processes
大规模不确定过程的优化与控制
- 批准号:
RGPIN-2019-05205 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Distributed real-time optimization for energy efficiency in uncertain large scale building systems
不确定大型建筑系统中能源效率的分布式实时优化
- 批准号:
543836-2019 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Collaborative Research and Development Grants
Optimization and Control in Large-scale Uncertain Processes
大规模不确定过程的优化与控制
- 批准号:
RGPIN-2019-05205 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Distributed real-time optimization for energy efficiency in uncertain large scale building systems
不确定大型建筑系统中能源效率的分布式实时优化
- 批准号:
543836-2019 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Collaborative Research and Development Grants
Control and optimization of large-scale uncertain systems
大规模不确定系统的控制与优化
- 批准号:
RGPIN-2014-05252 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Control and optimization of large-scale uncertain systems
大规模不确定系统的控制与优化
- 批准号:
RGPIN-2014-05252 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Control and optimization of large-scale uncertain systems
大规模不确定系统的控制与优化
- 批准号:
RGPIN-2014-05252 - 财政年份:2016
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
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