ECEE Seminar Series: Neera Jain on "Reimagining Thermal Management"

Reimagining Thermal Management Using Hierarchical Control Co-Design

ABSTRACT: Increasing performance demands and constraints are necessitating the design of highly complex, integrated systems across multiple sectors, including transportation and energy. One specific example of this is in the aerospace sector, where significant electrification has led to corresponding increases in the generation of heat. More importantly, these increased heat loads are highly transient in nature, thereby necessitating the design of thermal management systems that are capable of real-time robust mitigation of these disturbances while also adhering to stringent design constraints. Unfortunately, conventional design approaches for such systems are largely siloed and focused on steady-state operation. One approach for tackling this coupling between plant (system) design and control design in complex systems is combined plant and control design, or control co-design (CCD). In this talk I will describe our model fidelity-based decomposition (MFBD) hierarchical CCD algorithm which integrates system-level CCD with high-fidelity component design optimization in a computationally efficient manner for systems in which the coupling between subproblems cannot be fully captured using existing analytical relationships. Our algorithm permits scalable decomposition of computationally-intensive component models and addresses coupling issues between subproblems, in part, by introducing an intermediate optimization procedure to maximize the accuracy of the control-oriented model required in the CCD algorithm. I will demonstrate the merits of this algorithm, and related ones that we have developed for dynamic optimization of individual thermal-fluid components such as heat exchangers, through several case studies on aircraft transient thermal management.

BIO: Dr. Neera Jain is an Assistant Professor in the School of Mechanical Engineering and a faculty member in the Ray W. Herrick Laboratories at Purdue University. She di-rects the Jain Research Laboratory with the aim of advancing technologies that will have a lasting impact on society through a systems-based approach, grounded in dynamic modeling and control theory. A major thrust of her research is optimal design and control of complex energy systems. A second major research thrust is the design of human-aware automation through control-oriented modeling of human cognition. Dr. Jain earned her M.S. and Ph.D. degrees in mechanical engineering from the University of Illinois at Urbana-Champaign in 2009 and 2013, respectively. She earned her S.B. from the Massachusetts Institute of Technology in 2006. Upon completing her Ph.D., Dr. Jain was a visiting member of the research staff at Mitsubishi Electric Research Laboratories where she designed model predictive control algorithms for HVAC systems. In 2015 she was a visiting summer researcher at the Air Force Research Laboratory at Wright-Patterson Air Force Base. Dr. Jain and her research have been featured in NPR and Axios. As a contributor for Forbes.com, she writes on the topic of human interaction with automation and its importance in society. Her research has been supported by the National Science Foundation, Air Force Research Laboratory, Office of Naval Research, as well as private industry.

Dial-In Information

https://cuboulder.zoom.us/j/94540950357?pwd=Sk5hZ2dHTGpWM0pQZW5BWDlSazVwZz09

  • Meeting ID: 945 4095 0357
  • Passcode: 10334

Tuesday, January 19, 2021 at 11:10am

Virtual Event
Event Type

Colloquium/Seminar

College, School & Unit

Engineering & Applied Science

Group
Electrical, Computer & Energy Engineering
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