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Skip to Search Results- 5Robust optimization
- 1Affine decision rule
- 1Chance constraint
- 1Charging station
- 1Data driven
- 1Data reconciliation
- 1Ardakanian, Omid
- 1Gates, Ian (Chemical and Petroleum Engineering)
- 1Huang, Biao (Department of Chemical and Materials Engineering)
- 1Li, Zukui (Chemical and Materials Engineering)
- 1Li, Zukui (Chemical and Materials Engineering)
- 1Li, Zukui (Department of Chemical and Materials Engineering)
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Fall 2021
This thesis aims to investigate, develop and advance solution techniques for optimization under uncertainty in process control, scheduling and operations research applications. Decision rule methods offer a rich and flexible framework for solving these classes of problems. Recent literature has...
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Development of multiscale microbial kinetic-transport models for prediction and optimization of biogenic coalbed methane production
DownloadFall 2015
The fundamental objective of this research project is to develop an enzymatic reaction kinetic model for coal bioconversion which, on integration with multiscale transport models, would allow simulation and optimization of field scale biogenic coalbed methane production. Biogenic coalbed methane...
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Electric Vehicle Charging Station Resource Allocation: A Data-Driven Robust Optimization Approach
DownloadFall 2023
The adoption of electric vehicles has been growing steadily in recent years, and projections indicate that this trend will continue. However, the availability and capacity of charging stations have not kept pace with this growth, leading to long wait times and congestion at charging stations. The...
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Fall 2019
The optimal design and operation of effluent treatment system networks poses a significant cant challenge in the present time, with the imposition of stricter environmental regulations and an increased demand for resources exacerbated by a diminishing resource pool. In practice, this problem...
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Fall 2017
Process measurements collected from daily industrial plant operations are essential for process control and optimization. However, due to various reasons, the process data are always corrupted by errors, so that process model constraints representing the mass balance and energy balance are not...