High Performance Computing (HPC) is enabling a transition in the engineering process for design and deployment of new technology. Large-scale process equipment involving multi-physics phenomena have historically required many years to design and deploy. Innovation follows incremental changes from a working prototype. This presentation studies a process for taking advantage of HPC to change this incremental engineering process to a predictive process to accelerate innovation and deployment of new engineering technology for coal-fired power generation. This predictive design and deployment protocol involves gaining as much information as possible from coupling HPC simulations with experimental data across a range of scales. This  methodology involves a formalism in validation that quantifies the uncertainties in the simulation prediction results through the measured uncertainties in the experimental data at multiple scales.

个人简介：Prof. Philip J. Smith got his Bachelor degree from Dept of Chemical Engineering and Physics at Brigham Young University(BYU) in 1975 and his Ph.D degree at the same place in 1979. After that, he served as the tenured faculty at BYU from 1979 to 1990 and at University of Utah(UU) since 1990 till today. Prof. Smith is now the director of the Institute of Clean and Secure Energy(ICSE) at UU. He also served as the chairman of the Dept. of Chemical Engineering of UU, and as the vice president (co-founder) of Reaction Engineering International. Professor Smith has developed and distributed the RANS coal-combustion codes PCGC2, PCGC3, and GLACIER; and the LES code ARCHES for gas-solid reacting flow. He leads the U.S. Dept. Of Energy Carbon Capture Multidisciplinary Simulation Center at the University of Utah, a five year, $25 million center to design and deploy an oxy-coal power generation boiler. He has published text books and more than 150 journal articles on gas and coal combustion simulations.

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http://www.icse.utah.edu/person74;jsessionid=12ED48FF554E0A685A79DBCDA37AF0C0