Thursday 28.May 2009
Dr. Denise McKay, Assistant Professor of Engineering Science at Smith College in Massachusetts is our latest faculty member on the Fuel Cell Systems & Hydrogen specialisation.
Dr. McKay obtained her B.S. (2002,
Humboldt State University, CA) in Environmental Resources Engineering with a focus on Renewable Energy Power Systems. She then received her M.S. (2005, University of Michigan, MI) in Mechanical
Engineering and Ph.D. in Environmental Engineering (2008, University of Michigan, MI).
Dr. McKay has taught courses in Thermodynamics, Mass and Energy Balance, Renewable Energy Power Systems, Photovoltaic and Fuel Cell System Design, and Senior Capstone-Design Clinic, and participated as a guest lecturer in Applications of Electrochemistry.
Additional information
Dr. McKay will teach the following course at RES:
FC602: Fuel Cell Systems & Technologies
Fuel cell systems and “balance of plant” components for thermal and water management; strategies for fuel cell stacking; fuel cell system applications; fuel processing, and power conditioning. Development of FC models with MATLAB. FC energy efficiency, energy reliability, costs, and quality of FC power.
Dr. McKay obtained her B.S. (2002,
Humboldt State University, CA) in Environmental Resources Engineering with a focus on Renewable Energy Power Systems. She then received her M.S. (2005, University of Michigan, MI) in Mechanical
Engineering and Ph.D. in Environmental Engineering (2008, University of Michigan, MI).Dr. McKay has taught courses in Thermodynamics, Mass and Energy Balance, Renewable Energy Power Systems, Photovoltaic and Fuel Cell System Design, and Senior Capstone-Design Clinic, and participated as a guest lecturer in Applications of Electrochemistry.
Additional information
Dr. McKay will teach the following course at RES:
FC602: Fuel Cell Systems & Technologies
Fuel cell systems and “balance of plant” components for thermal and water management; strategies for fuel cell stacking; fuel cell system applications; fuel processing, and power conditioning. Development of FC models with MATLAB. FC energy efficiency, energy reliability, costs, and quality of FC power.
