As researchers work to improve the efficiency and cost effectiveness of energy systems, computational engineering will play a key role guiding the design effort. Renewable sources of interest include solar thermal, photovoltaic, wind, and wave. Key challenges are found in modeling of the energy harvesting devices themselves and also in the combination of energy sources with other parts of the systems in which they are embedded including loads, storage elements, and regenerative mechanisms. And successful management of energy value chains will also be crucial to environmental and economic success.
Non-linear model reduction for uncertainty quantification in large-scale inverse problems
D Galbally, K Fidkowski, K Willcox, & O Ghattas. International Journal for Numerical Methods in Engineering, 81(12):1581-1608, 2010.
Preferential mode of gas invasion in sediments: Grain-scale mechanistic model of coupled multiphase fluid flow and sediment mechanics
AK Jain & R Juanes. Journal of Geophysical Research-Solid Earth, 114: Article Number: B08101, 2009.
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
YM Marzouk and HN Najm. Journal of Computational Physics, 228(6): 1862–1902, 2009.
Impact of relative permeability hysteresis on geological
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Minimum-dissipation heat removal by scale-matched flow destabilization
H Kozlu, BB Mikic, & AT Patera. International Journal of Heat and Mass Transfer, 31(10):2023-2032, 1988. image
Minimum-dissipation transport enhancement by flow destabilization: Reynolds’ analogy revisited
GE Karniadakis, BB Mikic, & AT Patera. Journal of Fluid Mechanics, 192:365-391, 1988.