Surrogate-based modeling and dimension-reduction techniques for thermo-fluid & energy systems

Young Chang Cho, Wenbo Du, Amit Gupta, Chien-Chou Tseng, Ann Marie Sastry, Wei Shyy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Successful modeling and/or design of thermo-fluid and energy systems often requires one to address the impact of multiple "design variables" on the prescribed outcome. There are often multiple, competing objectives based on which we assess the outcome of optimization. Since accurate, high fidelity models are typically time consuming and computationally expensive, comprehensive evaluations can be conducted only if an efficient framework is available. Furthermore, informed decisions of model/hardware's overall performance rely on an adequate understanding of the global, not local, sensitivity of the individual design variables on the objectives. The surrogate-based approach, which involves approximating the objectives as continuous functions of design variables from limited data, offers a rational framework to reduce the number of important input variables, i.e., the dimension of a design or modeling space. In this paper, we discuss the fundamental issues that arise in surrogate-based analysis and optimization, highlighting concepts, methods, techniques, as well as practical implications. To aid the discussions of the issues involved, we will summarize recent efforts in investigating cryogenic cavitating flows, active flow control based on dielectric barrier discharge concepts, and Li-ion batteries.

Original languageEnglish
Title of host publicationASME/JSME 2011 8th Thermal Engineering Joint Conference, AJTEC 2011
Publication statusPublished - 2011 Dec 1
EventASME/JSME 2011 8th Thermal Engineering Joint Conference, AJTEC 2011 - Honolulu, HI, United States
Duration: 2011 Mar 132011 Mar 17

Publication series

NameASME/JSME 2011 8th Thermal Engineering Joint Conference, AJTEC 2011

Other

OtherASME/JSME 2011 8th Thermal Engineering Joint Conference, AJTEC 2011
CountryUnited States
CityHonolulu, HI
Period11-03-1311-03-17

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology

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