Energy Management Systems

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The following ARG students are currently conducting research in the field of energy system modeling and control.

Donald Docimo: Modeling and Control of Energy Systems
Donald Docimo, Ph.D. conducts research in the area of advanced, model-based control and design as applied to energy systems. His focus is use of tools from control, model reduction, optimization, and estimation theory to address major challenges in applications that span electrified vehicles, aircraft, and advanced thermal management devices. He is an experienced educator, having instructed junior- and senior-level controls courses, developed online multimedia courses, and mentored students. Ongoing work includes extensions of hierarchical control strategies for energy management, system design optimization, and testbed development to validate electro-thermal device performance.
Herschel Pangborn: Dynamic Modeling and Control of Energy Systems
Optimizing the performance, efficiency, and safety of energy systems is a critical research area. Improvements in energy management are needed for both stationary systems (e.g., air conditioning and refrigeration) and vehicle systems (e.g., aircraft and automobiles). My research spans a number of challenges associated with the control of energy systems.  For vehicle systems, I work to develop modeling and control frameworks that capture and coordinate multi-domain and multi-timescale interactions. Ongoing work includes the development of model-based hierarchical controllers that leverage knowledge of system interconnections to robustly optimize system-wide performance and efficiency. For air conditioning and refrigeration systems, I work to better understand and control the complex dynamics of multi-phase heat exchangers. These systems can be captured in modeling by treating them as a collection of distinct operating modes, each with its own model formulation. Controllers for these systems can also benefit from a switched framework, allowing for the development of model-based control laws for each mode.
Pamela Tannous: Electrical Thermal Power Systems
My current research is sensors placement and optimization. High temperature has negative effects on the lifetime and the efficiency of electronic components. This research objective is to decide on the minimum number and placement of temperature sensors needed in order to estimate the temperature distribution of an inverter so that the highest temperature of the board can be maintained below a certain specific temperature.
Pamela Tannous: Electrical Thermal Power Systems
headshotMy current research is about making Thermosys more user-friendly. In the Fall semester I worked on the thermostatic expansion valve model to better align the model parameters with information available on manufacturer data sheets.

Christopher Aksland: Electro-Thermal Power Systems
My research focuses on the modeling of electro-thermal systems and components such as batteries and battery packs. The performance of batteries is closely related to their operating temperature; if a battery is to hot, its lifetime degrades. By modeling these components and integrating them with HVAC components, we can better understand and control a variety of power systems, such as those that exist in HEVs.

Cary Laird: Electrical/Thermal Power Systems

My research focuses on improving the pulsed power capabilities of current energy storage systems by combining battery packs with supercapacitors. By modeling these hybrid energy storage systems (HESS), we can demonstrate improved power capabilities and battery life.




Mindy Wagenmaker: Electrical/Thermal Power Systems

As the trend towards electrification continues, improving thermal management control has become an important consideration in designing reliable systems. My current research is to understand and build models of electrical-thermal systems so that we can simulate how they would respond to a controller. This will benefit our research process as it allows us to run simulations and quickly determine how our systems interact when they’re coupled and in which controllers would be suitable, before actually running time-consuming experimental tests.