Optimal Dynamic Operation of a High-Purity Air Separation Plant under Varying Market Conditions
Author:
Affiliation:
1. Department of Chemical Engineering, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada L8S 4L7
2. Advanced Control and Operations Research, Praxair Technology Center, Tonawanda, New York 14150, United States
Funder
Natural Sciences and Engineering Research Council of Canada
McMaster Advanced Control Consortium, McMaster University
Praxair Technology, Inc.
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.6b02090
Reference24 articles.
1. Process synthesis optimization and flexibility evaluation of air separation cycles
2. U.S. Energy Information Administration.Manufacturing energyconsumption survey. http://www.eia.gov/consumption/data.cfm, 2012.
3. Optimal operation of cryogenic air separation systems with demand uncertainty and contractual obligations
4. U.S. Department of Energy. Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them: A Report to the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005, 2006.
5. Optimal Process Operations in Fast-Changing Electricity Markets: Framework for Scheduling with Low-Order Dynamic Models and an Air Separation Application
Cited by 41 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Workforce and task optimization to guarantee oxygen bottling under a COVID-19 pandemic scenario: A Chilean case study;International Journal of Production Economics;2024-05
2. Integration of chemical process operation with energy, global market, and plant systems infrastructure;Computers & Chemical Engineering;2024-03
3. Economic Model Predictive Control for Cryogenic Air Separation Unit Startup;IFAC-PapersOnLine;2024
4. Recent Advances and Future Perspectives in Carbon Capture, Transportation, Utilization, and Storage (CCTUS) Technologies: A Comprehensive Review;Fuel;2023-11
5. Data-driven distributionally robust optimization for long-term contract vs. spot allocation decisions: Application to electricity markets;Computers & Chemical Engineering;2023-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3