DR. Neng Fan
Department of Systems & Industrial Engineering
University of Arizona
Date: Friday, Nov 8, 2019
Time: 1 - 1:50 pm
Location: D3 W122
Abstract: Energy resources are essential for the development of the human society in the industrialized world, while the energy-intensive manufacturing productions and services account for a large portion of the total energy consumption. Because of energy availability and its influences on environment, management of energy resources has become very crucial. The renewable energy, such as wind and solar, is naturally replenished and has the potential to reduce the environmental footprint, although it is challenging because of its intermittencies. In this study, we apply techniques of optimization under uncertainty to determine the optimal operations for manufacturing and service systems to enhance the onsite renewables integration. Several case studies will be discussed with the consideration of controllable loads, energy storage systems, grid islanding, and demand response programs.
Biography: Dr. Neng Fan is an associate professor at Department of Systems and Industrial Engineering, University of Arizona (UA), Tucson, Arizona. He received his bachelor degree in computational mathematics from Wuhan University, and master degree in applied mathematics from Nankai University in China. He also received his master and PhD degrees from Department of Industrial and Systems Engineering at University of Florida. Before joining UA, he worked in Los Alamos National Laboratory, Los Alamos, New Mexico and Sandia National Laboratories, Albuquerque, New Mexico. His research focuses on development of various optimization methodologies, and their applications in energy systems, renewable energy integration, healthcare, sustainable agriculture, and data analytics, and his work has been supported by National Science Foundation, US Department of Energy, US Department of Agriculture, and local industrials.