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Title:Development of web-based supporting tools for generic diagnostic reservoir operation
Author(s):Li, Donghui
Advisor(s):Cai, Ximing
Department / Program:Civil & Environmental Eng
Discipline:Environ Engr in Civil Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Web-based tools
Diagnostic reservoir operation
Abstract:Research in the field of reservoir operation has been conducted for decades, ending with numerous numerical simulation and optimization models. However, few models are adopted in real-world applications due to enormous complexity and high computational burden requited by these models. Analytical optimization studies and data-based models have been receiving attention as a complement to numerical models, and the cloud-computing technology is increasingly adopted in building decision support systems to make academic advances accessible to practitioners. In this thesis, a web-based support system for reservoir operation, named diagnostic generic reservoir operation tools (DROT), is developed and deployed for public access. DROT implements generic rules and algorithms derived from analytical studies and general data mining techniques, and provides diagnostic information for a particular reservoir operation problem. In addition, auxiliary functionalities including historical operation data retrieval from public databases and interactive data visualization are also provided within DROT. The operation tools implemented in the current version of DROT are based on several existing publications, and can be used for multiple purposes, such as determining hedge release for water supply reservoir, improving use of forecast information in reservoir operation, and selecting most relevant variables in modeling water resources systems. Besides, the algorithm for operating multi-reservoirs system is also available within DROT. The demonstration of DROT for practical operation cases is provided using synthetic data or case studies from existing publications.
Issue Date:2020-07-20
Type:Thesis
URI:http://hdl.handle.net/2142/108708
Rights Information:Copyright 2020 Donghui Li
Date Available in IDEALS:2020-10-07
Date Deposited:2020-08


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