572 Modeling and Computation In Energy and the Environment

Wednesday, October 31, 2012: 3:15 PM
327 (Convention Center )
Description:
This session is the forum to present computational and theoretical research and development in the area of Energy and the Environment.

Sponsor:
Applied Mathematics and Numerical Analysis

Chair:
Holly M. Krutka
Email: hkrutka@yahoo.com

Co-Chair:
Kyle V. Camarda
Email: camarda@ku.edu

- indicates paper has an Extended Abstract file available on CD.


3:15 PM
(572a) Surrogate-Based Optimization of Simulated Energy Systems
Alison Cozad, Nick Sahinidis and David C. Miller

3:35 PM
(572b) Integrating the Carbon Capture Materials Database with the Process Simulation Tools of the Carbon Capture Simulation Initiative
Hosoo Kim, Maciej Haranczyk, Tom Epperly, Mahmoud Abouelnasr, Joseph A. Swisher, Kuldeep Jariwala, David Mebane, Berend Smit, Joel Kress and David C. Miller

3:55 PM
(572c) A Sub-Grid Model for an Array of Immersed Cylinders in Coarse-Grid Multiphase Flow Simulations of a Carbon Capture Device
Avik Sarkar, Xin Sun and Sankaran Sundaresan

4:15 PM
(572d) A Global Optimization Approach for the Short-Term Scheduling of Hydro Power Generation
Ricardo M. Lima, Marian G. Marcovecchio and Augusto Novais

4:35 PM
(572e) Renewable Wind Power Prediction and Optimization Using Gaussian Mixture Copula Model and Bayesian Inference Based Local-Global Gaussian Process Regression Method
Mudassir Rashid and Jie Yu

4:55 PM
(572f) Examining the Variability of Load, Wind, and Solar Power in the Regulation Timeframe
Bri-Mathias S. Hodge, Anthony Florita and Kirsten Orwig

5:15 PM
(572g) Industrial Sectors and Integrated Solutions (ISIS) - A Techno–Economic and Multi-Pollutant Modeling Framework for Comprehensive Regulatory Analysis
Nabanita Modak, Gurbakhash S. Bhander, Jacky Rosati, Alex Macpherson and Elineth Torres
File available
5:35 PM
(572h) Model Reduction in Multi-Scale Simulation and Optimization
Yi-dong Lang, Lorenz T. Biegler and David C. Miller
See more of this Group/Topical: Computing and Systems Technology Division
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