Dr. Eunshin Byon is an Assistant Professor in the Department of Industrial and Operations Engineering at the University of Michigan, Ann Arbor, USA. She received her Ph.D. degree in Industrial and Systems Engineering from the Texas A&M University, College Station, USA, and joined the University of Michigan in 2011.
Importance sampling has been used to improve the efficiency of simulations where the simulation output is uniquely determined, given a fixed input. We extend the theory of importance sampling to estimate a system’s reliability with stochastic simulations. Thanks to the advance of computing power, stochastic computer models are employed in many applications to represent a complex system behavior. More
To quantify and minimize the uncertainties in the design and operational stage, we model and analyze the dependency of wind turbine responses (e.g., power generation, loads and condition monitoring sensor measurement) on operating conditions and the interactions among turbines. Our research entails several areas… More
Kristen Cetin is a PhD candidate at the University of Texas at Austin, in the Department of Civil, Architectural and Environmental Engineering, in the Building Energy and Environment Group. She is also a licensed professional engineer and a LEED professional. Her research focuses on the use smart grid-connected technologies to reduce building energy use and peak loads, and assessing their effects on building occupants and the indoor environment.
SMART TECHNOLOGY-ENABLED BUILDING ENERGY AND PEAK LOAD REDUCTION AND THEIR EFFECTS ON OCCUPANTS AND THE INDOOR ENVIRONMENT
Building operations consume approximately 72% of electricity in the United States, and are responsible for over 70% of the peak demand on the electric grid, particularly in warm climates. The increasing deployment of technologies such as smart meters, home energy management systems (HEMS), and smart home-connected sensors and devices and their associated data provide an opportunity for data-driven operation and evaluation of the performance of buildings and their systems. This is particularly important as we face challenges in energy price fluctuations, distributed and renewable energy grid integration, and climate variability. More