Extensive Sensitivity Analysis and Parallel Stochastic Global Optimization Using Radial Basis Functions of Integrated Biorefineries under Operational Level Uncertainties
This work presents a decision-making framework for global optimization of detailed renewable energy processes considering technological uncertainty. The critical uncertain sources are identified with an efficient computational method for global sensitivity analysis, and are obtained in two different...
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| Format: | Others |
| Language: | en |
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LSU
2016
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| Online Access: | http://etd.lsu.edu/docs/available/etd-04052016-185104/ |