P.C. Rossin College of
Engineering and Applied Science
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Dr. Daniel Herber

Associate Professor

Colorado State University

https://www.engr.colostate.edu/se/daniel-herber/

Abstract

Many modern energy systems are increasingly dynamic and interconnected, compelling the use of systems perspectives to achieve our various engineering goals and expectations. In this talk, the research area known as control co-design (CCD) will be discussed, including an introduction to the foundational concepts and methods where the engineering activities consider the impact and desired design of both the controllers that govern the dynamic behavior, as well as engineering decisions related to the physical artifact itself. The CCD methods have recently found broad application in various energy system domains, including floating offshore wind turbines, wave energy converter farms, and hydrogen production and storage combined with a nuclear power plant. Motivated by these applications, several key outcomes and opportunities will be discussed regarding design optimization methods, data-driven modeling, and practical decision-making.
 

About Dr. Daniel Herber

Dr. Daniel R. Herber is an Associate Professor in the Department of Systems Engineering at Colorado State University in Fort Collins, CO, USA. His research interests and projects have been in design optimization, model-based systems engineering, system architecture, digital engineering, dynamics and control, and combined physical and control system design (control co-design), frequently collaborating with academia, industry, and government laboratories. His work has involved several application domains, including energy, aerospace, defense, and software systems. He teaches courses in model-based systems engineering, system architecture, controls, and optimization. He is a member of INCOSE, ASME, and AIAA.

He studied at the University of Illinois at Urbana-Champaign, earning his B.S. (2011) in General Engineering and his M.S. (2014) and Ph.D. (2017) in Systems and Entrepreneurial Engineering. He held a postdoctoral position (2018-2019) with the NSF ERC for Power Optimization for Electro-Thermal Systems (POETS).