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You searched for +publisher:"University of Texas – Austin" +contributor:("Edgar, Thomas F"). Showing records 1 – 30 of 71 total matches.

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University of Texas – Austin

1. Kim, Jong Suk. Modeling, control, and optimization of combined heat and power plants.

Degree: PhD, Chemical Engineering, 2014, University of Texas – Austin

 Combined heat and power (CHP) is a technology that decreases total fuel consumption and related greenhouse gas emissions by producing both electricity and useful thermal… (more)

Subjects/Keywords: Scheduling; Unit commitment; Economic dispatch; Combined heat and power; Day-ahead wholesale energy market; Mixed-integer nonlinear programming; Emergency response service; Model predictive control

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APA (6th Edition):

Kim, J. S. (2014). Modeling, control, and optimization of combined heat and power plants. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/24830

Chicago Manual of Style (16th Edition):

Kim, Jong Suk. “Modeling, control, and optimization of combined heat and power plants.” 2014. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/24830.

MLA Handbook (7th Edition):

Kim, Jong Suk. “Modeling, control, and optimization of combined heat and power plants.” 2014. Web. 24 Jan 2021.

Vancouver:

Kim JS. Modeling, control, and optimization of combined heat and power plants. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2014. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/24830.

Council of Science Editors:

Kim JS. Modeling, control, and optimization of combined heat and power plants. [Doctoral Dissertation]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/24830


University of Texas – Austin

2. Cole, Wesley Joseph. Dynamic modeling, optimization, and control of integrated energy systems in a smart grid environment.

Degree: PhD, Chemical Engineering, 2014, University of Texas – Austin

 This work considers how various integrated energy systems can be managed in order to provide economic or energetic benefits. Energy systems can gain additional degrees… (more)

Subjects/Keywords: Thermal energy storage; Smart grid; Model predictive control; Residential air conditioning; Peak demand

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APA (6th Edition):

Cole, W. J. (2014). Dynamic modeling, optimization, and control of integrated energy systems in a smart grid environment. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/24908

Chicago Manual of Style (16th Edition):

Cole, Wesley Joseph. “Dynamic modeling, optimization, and control of integrated energy systems in a smart grid environment.” 2014. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/24908.

MLA Handbook (7th Edition):

Cole, Wesley Joseph. “Dynamic modeling, optimization, and control of integrated energy systems in a smart grid environment.” 2014. Web. 24 Jan 2021.

Vancouver:

Cole WJ. Dynamic modeling, optimization, and control of integrated energy systems in a smart grid environment. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2014. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/24908.

Council of Science Editors:

Cole WJ. Dynamic modeling, optimization, and control of integrated energy systems in a smart grid environment. [Doctoral Dissertation]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/24908


University of Texas – Austin

3. Kitaka, Richard Herbertson. Underground coal gasification : overview of an economic and environmental evaluation.

Degree: MSin Engineering, Chemical Engineering, 2011, University of Texas – Austin

 This paper examines an overview of the economic and environmental aspects of Underground Coal Gasification (UCG) as a viable option to the above ground Surface… (more)

Subjects/Keywords: Economic and environmental evaluation; Underground coal gasification; Surface coal gasification; UCG; SCG; UCG economic evaluation

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APA (6th Edition):

Kitaka, R. H. (2011). Underground coal gasification : overview of an economic and environmental evaluation. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-12-4535

Chicago Manual of Style (16th Edition):

Kitaka, Richard Herbertson. “Underground coal gasification : overview of an economic and environmental evaluation.” 2011. Masters Thesis, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/ETD-UT-2011-12-4535.

MLA Handbook (7th Edition):

Kitaka, Richard Herbertson. “Underground coal gasification : overview of an economic and environmental evaluation.” 2011. Web. 24 Jan 2021.

Vancouver:

Kitaka RH. Underground coal gasification : overview of an economic and environmental evaluation. [Internet] [Masters thesis]. University of Texas – Austin; 2011. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-12-4535.

Council of Science Editors:

Kitaka RH. Underground coal gasification : overview of an economic and environmental evaluation. [Masters Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-12-4535


University of Texas – Austin

4. -4966-8063. Energy focused modeling and optimization of a radiant tube roller hearth austenization furnace.

Degree: MSin Engineering, Chemical Engineering, 2015, University of Texas – Austin

 In this thesis, we develop a two-dimensional energy-focused model of a roller hearth heat treating furnace. The two-dimensional model is based on first-principles, detailed representations… (more)

Subjects/Keywords: Heat treating furnace; Furnace energy

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APA (6th Edition):

-4966-8063. (2015). Energy focused modeling and optimization of a radiant tube roller hearth austenization furnace. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31750

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-4966-8063. “Energy focused modeling and optimization of a radiant tube roller hearth austenization furnace.” 2015. Masters Thesis, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/31750.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-4966-8063. “Energy focused modeling and optimization of a radiant tube roller hearth austenization furnace.” 2015. Web. 24 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-4966-8063. Energy focused modeling and optimization of a radiant tube roller hearth austenization furnace. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/31750.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-4966-8063. Energy focused modeling and optimization of a radiant tube roller hearth austenization furnace. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31750

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Texas – Austin

5. James, Corey Matthew, 1976-. Reducing the cost of operational water on military bases through modeling, optimization, and control.

Degree: PhD, Chemical Engineering, 2017, University of Texas – Austin

 Military municipal water systems provide safe and clean water to the surrounding community while also supporting the intense and often unpredictable training schedules of the… (more)

Subjects/Keywords: Control; Optimization; Water; Energy; Military

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APA (6th Edition):

James, Corey Matthew, 1. (2017). Reducing the cost of operational water on military bases through modeling, optimization, and control. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62970

Chicago Manual of Style (16th Edition):

James, Corey Matthew, 1976-. “Reducing the cost of operational water on military bases through modeling, optimization, and control.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/62970.

MLA Handbook (7th Edition):

James, Corey Matthew, 1976-. “Reducing the cost of operational water on military bases through modeling, optimization, and control.” 2017. Web. 24 Jan 2021.

Vancouver:

James, Corey Matthew 1. Reducing the cost of operational water on military bases through modeling, optimization, and control. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/62970.

Council of Science Editors:

James, Corey Matthew 1. Reducing the cost of operational water on military bases through modeling, optimization, and control. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62970


University of Texas – Austin

6. Perez, Krystian Xavier. Analysis, modeling and optimization of residential energy use from smart meter data.

Degree: PhD, Chemical engineering, 2016, University of Texas – Austin

 Approximately 38% of electricity consumption within the United States can be attributed to residential buildings, a vast share of which is in heating, ventilation and… (more)

Subjects/Keywords: Residential energy; Home energy management

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APA (6th Edition):

Perez, K. X. (2016). Analysis, modeling and optimization of residential energy use from smart meter data. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46454

Chicago Manual of Style (16th Edition):

Perez, Krystian Xavier. “Analysis, modeling and optimization of residential energy use from smart meter data.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/46454.

MLA Handbook (7th Edition):

Perez, Krystian Xavier. “Analysis, modeling and optimization of residential energy use from smart meter data.” 2016. Web. 24 Jan 2021.

Vancouver:

Perez KX. Analysis, modeling and optimization of residential energy use from smart meter data. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/46454.

Council of Science Editors:

Perez KX. Analysis, modeling and optimization of residential energy use from smart meter data. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46454


University of Texas – Austin

7. -0020-5212. Dynamic modeling of post-combustion amine scrubbing for process control strategy development.

Degree: PhD, Chemical engineering, 2016, University of Texas – Austin

 Intensified process designs with advanced solvents have been proposed to decrease both capital and operating costs of post-combustion carbon capture with amine scrubbing. These advanced… (more)

Subjects/Keywords: Amine scrubbing; Dynamic modeling; Process control; Carbon capture

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APA (6th Edition):

-0020-5212. (2016). Dynamic modeling of post-combustion amine scrubbing for process control strategy development. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/39612

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-0020-5212. “Dynamic modeling of post-combustion amine scrubbing for process control strategy development.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/39612.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-0020-5212. “Dynamic modeling of post-combustion amine scrubbing for process control strategy development.” 2016. Web. 24 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-0020-5212. Dynamic modeling of post-combustion amine scrubbing for process control strategy development. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/39612.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-0020-5212. Dynamic modeling of post-combustion amine scrubbing for process control strategy development. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/39612

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Texas – Austin

8. Abdulla, Thaer Adnan. An experimental investigation of batch distillation column control.

Degree: PhD, Chemical Engineering, 2019, University of Texas – Austin

 The development of an inferential soft sensor for a pilot-plant distillation column separating an ethanol-water mixture using neural network (NN) models has been investigated in… (more)

Subjects/Keywords: Data-driven soft sensors; ANN; Batch distillation; Inferential PI control; Model predictive control (MPC)

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APA (6th Edition):

Abdulla, T. A. (2019). An experimental investigation of batch distillation column control. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/5871

Chicago Manual of Style (16th Edition):

Abdulla, Thaer Adnan. “An experimental investigation of batch distillation column control.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://dx.doi.org/10.26153/tsw/5871.

MLA Handbook (7th Edition):

Abdulla, Thaer Adnan. “An experimental investigation of batch distillation column control.” 2019. Web. 24 Jan 2021.

Vancouver:

Abdulla TA. An experimental investigation of batch distillation column control. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Jan 24]. Available from: http://dx.doi.org/10.26153/tsw/5871.

Council of Science Editors:

Abdulla TA. An experimental investigation of batch distillation column control. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/5871


University of Texas – Austin

9. DeRosa, Sean Edward. Impact of natural gas and natural gas liquids on chemical manufacturing in the United States.

Degree: PhD, Chemical engineering, 2016, University of Texas – Austin

 Natural gas and natural gas liquids production in the United States has increased dramatically since 2005, due primarily to recent advancements in horizontal drilling and… (more)

Subjects/Keywords: Petrochemical; Network model; Agent-based model; Life cycle assessment

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APA (6th Edition):

DeRosa, S. E. (2016). Impact of natural gas and natural gas liquids on chemical manufacturing in the United States. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/39644

Chicago Manual of Style (16th Edition):

DeRosa, Sean Edward. “Impact of natural gas and natural gas liquids on chemical manufacturing in the United States.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/39644.

MLA Handbook (7th Edition):

DeRosa, Sean Edward. “Impact of natural gas and natural gas liquids on chemical manufacturing in the United States.” 2016. Web. 24 Jan 2021.

Vancouver:

DeRosa SE. Impact of natural gas and natural gas liquids on chemical manufacturing in the United States. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/39644.

Council of Science Editors:

DeRosa SE. Impact of natural gas and natural gas liquids on chemical manufacturing in the United States. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/39644


University of Texas – Austin

10. Ganesh, Hari Sai. Modeling, control, and optimization of an industrial austenitization furnace.

Degree: PhD, Chemical Engineering, 2019, University of Texas – Austin

 Steel production and processing is both energy-intensive (2% of overall energy consumption) and one of the biggest contributors to CO₂ emissions. Its use is projected… (more)

Subjects/Keywords: Austenitization; Furnace; Modeling; Optimization; Control

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APA (6th Edition):

Ganesh, H. S. (2019). Modeling, control, and optimization of an industrial austenitization furnace. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/1047

Chicago Manual of Style (16th Edition):

Ganesh, Hari Sai. “Modeling, control, and optimization of an industrial austenitization furnace.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://dx.doi.org/10.26153/tsw/1047.

MLA Handbook (7th Edition):

Ganesh, Hari Sai. “Modeling, control, and optimization of an industrial austenitization furnace.” 2019. Web. 24 Jan 2021.

Vancouver:

Ganesh HS. Modeling, control, and optimization of an industrial austenitization furnace. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Jan 24]. Available from: http://dx.doi.org/10.26153/tsw/1047.

Council of Science Editors:

Ganesh HS. Modeling, control, and optimization of an industrial austenitization furnace. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/1047


University of Texas – Austin

11. Kumar, Ankur, Ph. D. Model based operation of industrial steam methane reformers using large scale sensor data.

Degree: PhD, Chemical engineering, 2016, University of Texas – Austin

 Large quantities of hydrogen are consumed in refineries and for production of important chemicals such as ammonia and methanol. Declining crude-oil quality and increased fertilizer… (more)

Subjects/Keywords: Steam methane reformer; Distributed parameter control; Plantwide optimization; Hydrogen plant optimization; Smart manufacturing

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APA (6th Edition):

Kumar, Ankur, P. D. (2016). Model based operation of industrial steam methane reformers using large scale sensor data. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46443

Chicago Manual of Style (16th Edition):

Kumar, Ankur, Ph D. “Model based operation of industrial steam methane reformers using large scale sensor data.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/46443.

MLA Handbook (7th Edition):

Kumar, Ankur, Ph D. “Model based operation of industrial steam methane reformers using large scale sensor data.” 2016. Web. 24 Jan 2021.

Vancouver:

Kumar, Ankur PD. Model based operation of industrial steam methane reformers using large scale sensor data. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/46443.

Council of Science Editors:

Kumar, Ankur PD. Model based operation of industrial steam methane reformers using large scale sensor data. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46443


University of Texas – Austin

12. Pattison, Richard C. Equation-oriented modeling, simulation, and optimization of integrated and intensified process and energy systems.

Degree: PhD, Chemical engineering, 2016, University of Texas – Austin

 Process intensification, defined as unconventional design and/or operation of processes that results in substantial performance improvements, represents a promising route toward reducing capital and operating… (more)

Subjects/Keywords: Process modeling; Process control; Flowsheet optimization; Integration of scheduling and control; Equation-oriented modeling; Process intensification; Process integration

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APA (6th Edition):

Pattison, R. C. (2016). Equation-oriented modeling, simulation, and optimization of integrated and intensified process and energy systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46459

Chicago Manual of Style (16th Edition):

Pattison, Richard C. “Equation-oriented modeling, simulation, and optimization of integrated and intensified process and energy systems.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/46459.

MLA Handbook (7th Edition):

Pattison, Richard C. “Equation-oriented modeling, simulation, and optimization of integrated and intensified process and energy systems.” 2016. Web. 24 Jan 2021.

Vancouver:

Pattison RC. Equation-oriented modeling, simulation, and optimization of integrated and intensified process and energy systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/46459.

Council of Science Editors:

Pattison RC. Equation-oriented modeling, simulation, and optimization of integrated and intensified process and energy systems. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46459


University of Texas – Austin

13. Ondeck, Abigail Devin. The economic feasibility of combined heat and power as a utility producer for the residential sector.

Degree: PhD, Chemical Engineering, 2017, University of Texas – Austin

 Combined heat and power (CHP) plants are a very promising prospect to reducing CO₂ emissions and increasing efficiency in the power generation sector, especially when… (more)

Subjects/Keywords: Combined heat and power; Energy; Renewables; Residential district utilities

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APA (6th Edition):

Ondeck, A. D. (2017). The economic feasibility of combined heat and power as a utility producer for the residential sector. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/60378

Chicago Manual of Style (16th Edition):

Ondeck, Abigail Devin. “The economic feasibility of combined heat and power as a utility producer for the residential sector.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/60378.

MLA Handbook (7th Edition):

Ondeck, Abigail Devin. “The economic feasibility of combined heat and power as a utility producer for the residential sector.” 2017. Web. 24 Jan 2021.

Vancouver:

Ondeck AD. The economic feasibility of combined heat and power as a utility producer for the residential sector. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/60378.

Council of Science Editors:

Ondeck AD. The economic feasibility of combined heat and power as a utility producer for the residential sector. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/60378


University of Texas – Austin

14. Park, Jungup. Data-driven modeling and optimization of sequential batch-continuous process.

Degree: PhD, Chemical engineering, 2016, University of Texas – Austin

 Driven by the need to lower capital expenditures and operating costs, as well as by competitive pressure to increase product quality and consistency, modern chemical… (more)

Subjects/Keywords: Sequential batch-continuous process; Data-driven modeling; Time scale bridging model; Scheduling; Control; Real-time optimization

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APA (6th Edition):

Park, J. (2016). Data-driven modeling and optimization of sequential batch-continuous process. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/39461

Chicago Manual of Style (16th Edition):

Park, Jungup. “Data-driven modeling and optimization of sequential batch-continuous process.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/39461.

MLA Handbook (7th Edition):

Park, Jungup. “Data-driven modeling and optimization of sequential batch-continuous process.” 2016. Web. 24 Jan 2021.

Vancouver:

Park J. Data-driven modeling and optimization of sequential batch-continuous process. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/39461.

Council of Science Editors:

Park J. Data-driven modeling and optimization of sequential batch-continuous process. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/39461

15. -1509-3807. Application of optical coherence tomography for improved in-situ flaw detection in nylon 12 selective laser sintering.

Degree: PhD, Chemical Engineering, 2019, University of Texas – Austin

 Despite significant advances made since the inception of selective laser sintering (SLS), many of the same problems identified by early researchers including high part porosity,… (more)

Subjects/Keywords: Selective laser sintering; Optical coherence tomography; Additive manufacturing; Non destructive evaluation; Sensing

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APA (6th Edition):

-1509-3807. (2019). Application of optical coherence tomography for improved in-situ flaw detection in nylon 12 selective laser sintering. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2183

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-1509-3807. “Application of optical coherence tomography for improved in-situ flaw detection in nylon 12 selective laser sintering.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://dx.doi.org/10.26153/tsw/2183.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-1509-3807. “Application of optical coherence tomography for improved in-situ flaw detection in nylon 12 selective laser sintering.” 2019. Web. 24 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-1509-3807. Application of optical coherence tomography for improved in-situ flaw detection in nylon 12 selective laser sintering. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Jan 24]. Available from: http://dx.doi.org/10.26153/tsw/2183.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-1509-3807. Application of optical coherence tomography for improved in-situ flaw detection in nylon 12 selective laser sintering. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2183

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Texas – Austin

16. -7739-8836. Data-driven methods for improved decision-making in the chemical process industries.

Degree: PhD, Chemical Engineering, 2020, University of Texas – Austin

 Recent decades have prompted chemical manufacturers to consider new operating paradigms. Globalization and other market trends have reduced profit margins and emphasized the need for… (more)

Subjects/Keywords: Process systems engineering; Optimal scheduling and control

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APA (6th Edition):

-7739-8836. (2020). Data-driven methods for improved decision-making in the chemical process industries. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/9108

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-7739-8836. “Data-driven methods for improved decision-making in the chemical process industries.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://dx.doi.org/10.26153/tsw/9108.

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MLA Handbook (7th Edition):

-7739-8836. “Data-driven methods for improved decision-making in the chemical process industries.” 2020. Web. 24 Jan 2021.

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Author name may be incomplete

Vancouver:

-7739-8836. Data-driven methods for improved decision-making in the chemical process industries. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 24]. Available from: http://dx.doi.org/10.26153/tsw/9108.

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Author name may be incomplete

Council of Science Editors:

-7739-8836. Data-driven methods for improved decision-making in the chemical process industries. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/9108

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Author name may be incomplete

17. Wang, Ray Chen. Geometric fault detection using 3D Kiviat plots and their applications.

Degree: PhD, Electrical and Computer Engineering, 2017, University of Texas – Austin

 The surge in large-scale data being collected through various social and economic systems comes along with the ever-increasing need to understand and gain insight from… (more)

Subjects/Keywords: Fault detection; Data visualization; 3D Kiviat plots; Fault detection capability; Process monitoring; Kiviat diagrams; High dimensional data; Process data

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APA (6th Edition):

Wang, R. C. (2017). Geometric fault detection using 3D Kiviat plots and their applications. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/47439

Chicago Manual of Style (16th Edition):

Wang, Ray Chen. “Geometric fault detection using 3D Kiviat plots and their applications.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/47439.

MLA Handbook (7th Edition):

Wang, Ray Chen. “Geometric fault detection using 3D Kiviat plots and their applications.” 2017. Web. 24 Jan 2021.

Vancouver:

Wang RC. Geometric fault detection using 3D Kiviat plots and their applications. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/47439.

Council of Science Editors:

Wang RC. Geometric fault detection using 3D Kiviat plots and their applications. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/47439


University of Texas – Austin

18. Rhodes, Joshua Daniel. Optimal residential energy consumption, prediction, and analysis.

Degree: PhD, Civil Engineering, 2014, University of Texas – Austin

 In the United States, buildings are responsible for 40.36 Quads (40.36 x 10¹⁵ BTU) of total primary energy consumption per year, 22.15 of which are… (more)

Subjects/Keywords: Residential energy use; Peak energy use; HVAC; Temporal energy use

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APA (6th Edition):

Rhodes, J. D. (2014). Optimal residential energy consumption, prediction, and analysis. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/33342

Chicago Manual of Style (16th Edition):

Rhodes, Joshua Daniel. “Optimal residential energy consumption, prediction, and analysis.” 2014. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/33342.

MLA Handbook (7th Edition):

Rhodes, Joshua Daniel. “Optimal residential energy consumption, prediction, and analysis.” 2014. Web. 24 Jan 2021.

Vancouver:

Rhodes JD. Optimal residential energy consumption, prediction, and analysis. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2014. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/33342.

Council of Science Editors:

Rhodes JD. Optimal residential energy consumption, prediction, and analysis. [Doctoral Dissertation]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/33342


University of Texas – Austin

19. -9912-2897. Embedding dynamics and control considerations in operational optimization of process and energy systems.

Degree: PhD, Chemical engineering, 2016, University of Texas – Austin

 Embedding dynamics and control considerations within operational optimization decisions can result in improved performance of processes and energy systems. These efforts are motivated by modern… (more)

Subjects/Keywords: Optimization; Control

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APA (6th Edition):

-9912-2897. (2016). Embedding dynamics and control considerations in operational optimization of process and energy systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/39556

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-9912-2897. “Embedding dynamics and control considerations in operational optimization of process and energy systems.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/39556.

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Author name may be incomplete

MLA Handbook (7th Edition):

-9912-2897. “Embedding dynamics and control considerations in operational optimization of process and energy systems.” 2016. Web. 24 Jan 2021.

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Author name may be incomplete

Vancouver:

-9912-2897. Embedding dynamics and control considerations in operational optimization of process and energy systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/39556.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-9912-2897. Embedding dynamics and control considerations in operational optimization of process and energy systems. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/39556

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Author name may be incomplete


University of Texas – Austin

20. Duribe, Victor Chijioke. Capacitance resistance modeling for improved characterization in waterflooding and thermal recovery projects.

Degree: PhD, Chemical engineering, 2016, University of Texas – Austin

 Rates are typically one of the most measured in an oil recovery project. The abundance of these types of data is explained partly by their… (more)

Subjects/Keywords: Capacitance resistance model; CRM; ICRM; Water flooding; Hot water floods

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APA (6th Edition):

Duribe, V. C. (2016). Capacitance resistance modeling for improved characterization in waterflooding and thermal recovery projects. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45711

Chicago Manual of Style (16th Edition):

Duribe, Victor Chijioke. “Capacitance resistance modeling for improved characterization in waterflooding and thermal recovery projects.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/45711.

MLA Handbook (7th Edition):

Duribe, Victor Chijioke. “Capacitance resistance modeling for improved characterization in waterflooding and thermal recovery projects.” 2016. Web. 24 Jan 2021.

Vancouver:

Duribe VC. Capacitance resistance modeling for improved characterization in waterflooding and thermal recovery projects. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/45711.

Council of Science Editors:

Duribe VC. Capacitance resistance modeling for improved characterization in waterflooding and thermal recovery projects. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45711


University of Texas – Austin

21. -9524-1741. Addressing uncertainty and modeling error in the design and control of process systems : methods and applications.

Degree: PhD, Chemical engineering, 2016, University of Texas – Austin

 A process system faces the challenge of uncertainty throughout its lifetime. At the design stage, uncertainty originates from inaccurate knowledge of design parameters and unmeasured… (more)

Subjects/Keywords: Uncertainty; MPC; Modeling error; Control of process systems; Applications; Methods

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APA (6th Edition):

-9524-1741. (2016). Addressing uncertainty and modeling error in the design and control of process systems : methods and applications. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41993

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-9524-1741. “Addressing uncertainty and modeling error in the design and control of process systems : methods and applications.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/41993.

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Author name may be incomplete

MLA Handbook (7th Edition):

-9524-1741. “Addressing uncertainty and modeling error in the design and control of process systems : methods and applications.” 2016. Web. 24 Jan 2021.

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Author name may be incomplete

Vancouver:

-9524-1741. Addressing uncertainty and modeling error in the design and control of process systems : methods and applications. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/41993.

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Author name may be incomplete

Council of Science Editors:

-9524-1741. Addressing uncertainty and modeling error in the design and control of process systems : methods and applications. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41993

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University of Texas – Austin

22. -6151-0678. Plug-in electric vehicle deployment and integration with the electric grid.

Degree: PhD, Electrical and Computer Engineering, 2015, University of Texas – Austin

 Key battery, semiconductor, and software technologies have sufficiently progressed over the past few decades to enable viable plug-in electric vehicle (PEV) alternatives to conventional vehicles.… (more)

Subjects/Keywords: Plug-in electric vehicle; PEV; EV; BEV; PHEV; V2H; G2V

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APA (6th Edition):

-6151-0678. (2015). Plug-in electric vehicle deployment and integration with the electric grid. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32852

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Chicago Manual of Style (16th Edition):

-6151-0678. “Plug-in electric vehicle deployment and integration with the electric grid.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/32852.

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MLA Handbook (7th Edition):

-6151-0678. “Plug-in electric vehicle deployment and integration with the electric grid.” 2015. Web. 24 Jan 2021.

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Author name may be incomplete

Vancouver:

-6151-0678. Plug-in electric vehicle deployment and integration with the electric grid. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/32852.

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Author name may be incomplete

Council of Science Editors:

-6151-0678. Plug-in electric vehicle deployment and integration with the electric grid. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32852

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Author name may be incomplete


University of Texas – Austin

23. -3146-1283. Modeling, estimation, and control of proton exchange membrane-based electrochemical systems.

Degree: PhD, Mechanical Engineering, 2015, University of Texas – Austin

 To reduce emissions and meet the rapidly growing global energy demand, affordable and efficient methods of electrical energy storage and generation are needed to exploit… (more)

Subjects/Keywords: Modeling; Estimation; Control; Flow battery; PEM fuel cell

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APA (6th Edition):

-3146-1283. (2015). Modeling, estimation, and control of proton exchange membrane-based electrochemical systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32873

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Chicago Manual of Style (16th Edition):

-3146-1283. “Modeling, estimation, and control of proton exchange membrane-based electrochemical systems.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/32873.

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MLA Handbook (7th Edition):

-3146-1283. “Modeling, estimation, and control of proton exchange membrane-based electrochemical systems.” 2015. Web. 24 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3146-1283. Modeling, estimation, and control of proton exchange membrane-based electrochemical systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/32873.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-3146-1283. Modeling, estimation, and control of proton exchange membrane-based electrochemical systems. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32873

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University of Texas – Austin

24. Xu, Ph. D., Shu. Data cleaning and knowledge discovery in process data.

Degree: PhD, Chemical engineering, 2015, University of Texas – Austin

 This dissertation presents several methods for overcoming the Big Data challenges, with an emphasis on data cleaning and knowledge discovery in process data. Data cleaning… (more)

Subjects/Keywords: Data cleaning; Knowledge discovery

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APA (6th Edition):

Xu, Ph. D., S. (2015). Data cleaning and knowledge discovery in process data. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32920

Chicago Manual of Style (16th Edition):

Xu, Ph. D., Shu. “Data cleaning and knowledge discovery in process data.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/32920.

MLA Handbook (7th Edition):

Xu, Ph. D., Shu. “Data cleaning and knowledge discovery in process data.” 2015. Web. 24 Jan 2021.

Vancouver:

Xu, Ph. D. S. Data cleaning and knowledge discovery in process data. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/32920.

Council of Science Editors:

Xu, Ph. D. S. Data cleaning and knowledge discovery in process data. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32920


University of Texas – Austin

25. Nagoo, Anand Subhash. Pipe fractional flow theory : principles and applications.

Degree: PhD, Chemical Engineering, 2014, University of Texas – Austin

 The contribution of this research is a simple, analytical mathematical modeling framework that connects multiphase pipe flow phenomena and satisfactorily reproduces key multiphase pipe flow… (more)

Subjects/Keywords: Multiphase flow; Pipe flow; Closed conduits; Multiphase pipe flow; Analytical modeling; Averaged multiphase flow; Fractional flow; Pipe fractional flow; Pipe fractional flow theory; Mixture model; Nagoo-Sharma equations; Fluid mechanics; Single-phase pipe flow; Flow pressure gradients; Flow patterns; Volume fraction distributions; Fractional flow graphs

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APA (6th Edition):

Nagoo, A. S. (2014). Pipe fractional flow theory : principles and applications. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/65197

Chicago Manual of Style (16th Edition):

Nagoo, Anand Subhash. “Pipe fractional flow theory : principles and applications.” 2014. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/65197.

MLA Handbook (7th Edition):

Nagoo, Anand Subhash. “Pipe fractional flow theory : principles and applications.” 2014. Web. 24 Jan 2021.

Vancouver:

Nagoo AS. Pipe fractional flow theory : principles and applications. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2014. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/65197.

Council of Science Editors:

Nagoo AS. Pipe fractional flow theory : principles and applications. [Doctoral Dissertation]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/65197

26. Zhang, Yang, 1980-. Improved methods in statistical and first principles modeling for batch process control and monitoring.

Degree: PhD, Chemical Engineering, 2008, University of Texas – Austin

 This dissertation presents several methods for improving statistical and first principles modeling capabilities, with an emphasis on nonlinear, unsteady state batch processes. Batch process online… (more)

Subjects/Keywords: Electronic data processing – Batch processing – Statistical methods; Electronic data processing – Batch processing – Mathematical models; Chemical engineering – Mathematical models; Algorithms

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, Yang, 1. (2008). Improved methods in statistical and first principles modeling for batch process control and monitoring. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/17920

Chicago Manual of Style (16th Edition):

Zhang, Yang, 1980-. “Improved methods in statistical and first principles modeling for batch process control and monitoring.” 2008. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/17920.

MLA Handbook (7th Edition):

Zhang, Yang, 1980-. “Improved methods in statistical and first principles modeling for batch process control and monitoring.” 2008. Web. 24 Jan 2021.

Vancouver:

Zhang, Yang 1. Improved methods in statistical and first principles modeling for batch process control and monitoring. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2008. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/17920.

Council of Science Editors:

Zhang, Yang 1. Improved methods in statistical and first principles modeling for batch process control and monitoring. [Doctoral Dissertation]. University of Texas – Austin; 2008. Available from: http://hdl.handle.net/2152/17920

27. Kapoor, Kriti. Modeling and optimization for energy efficient large scale cooling operation.

Degree: PhD, Chemical Engineering, 2013, University of Texas – Austin

 Optimal chiller loading (OCL) is described as a means to improve the energy efficiency of a chiller plant operation. It is formulated as a multi-period… (more)

Subjects/Keywords: Energy efficiency; Chiller plant; Cooling; Modeling; Optimization; Semiconductor; University campus; Thermal storage

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APA (6th Edition):

Kapoor, K. (2013). Modeling and optimization for energy efficient large scale cooling operation. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/23160

Chicago Manual of Style (16th Edition):

Kapoor, Kriti. “Modeling and optimization for energy efficient large scale cooling operation.” 2013. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/23160.

MLA Handbook (7th Edition):

Kapoor, Kriti. “Modeling and optimization for energy efficient large scale cooling operation.” 2013. Web. 24 Jan 2021.

Vancouver:

Kapoor K. Modeling and optimization for energy efficient large scale cooling operation. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2013. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/23160.

Council of Science Editors:

Kapoor K. Modeling and optimization for energy efficient large scale cooling operation. [Doctoral Dissertation]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/23160

28. Sriprasad, Akshay. Economic forecasting and optimization in a smart grid built environment.

Degree: MSin Engineering, Chemical Engineering, 2013, University of Texas – Austin

 This Master’s Report outlines graduate research work completed by Akshay Sriprasad, who is supervised by Professor Tom Edgar, in the area of modeling and systems… (more)

Subjects/Keywords: Energy; Smart grid; Optimization; Modeling; Demand response

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APA (6th Edition):

Sriprasad, A. (2013). Economic forecasting and optimization in a smart grid built environment. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/22436

Chicago Manual of Style (16th Edition):

Sriprasad, Akshay. “Economic forecasting and optimization in a smart grid built environment.” 2013. Masters Thesis, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/22436.

MLA Handbook (7th Edition):

Sriprasad, Akshay. “Economic forecasting and optimization in a smart grid built environment.” 2013. Web. 24 Jan 2021.

Vancouver:

Sriprasad A. Economic forecasting and optimization in a smart grid built environment. [Internet] [Masters thesis]. University of Texas – Austin; 2013. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/22436.

Council of Science Editors:

Sriprasad A. Economic forecasting and optimization in a smart grid built environment. [Masters Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/22436

29. Hedengren, John David. Real-time estimation and control of large-scale nonlinear DAE systems.

Degree: PhD, Chemical Engineering, 2005, University of Texas – Austin

Subjects/Keywords: Differential-algebraic equations; Control theory; Nonlinear theories

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APA (6th Edition):

Hedengren, J. D. (2005). Real-time estimation and control of large-scale nonlinear DAE systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/1563

Chicago Manual of Style (16th Edition):

Hedengren, John David. “Real-time estimation and control of large-scale nonlinear DAE systems.” 2005. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/1563.

MLA Handbook (7th Edition):

Hedengren, John David. “Real-time estimation and control of large-scale nonlinear DAE systems.” 2005. Web. 24 Jan 2021.

Vancouver:

Hedengren JD. Real-time estimation and control of large-scale nonlinear DAE systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2005. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/1563.

Council of Science Editors:

Hedengren JD. Real-time estimation and control of large-scale nonlinear DAE systems. [Doctoral Dissertation]. University of Texas – Austin; 2005. Available from: http://hdl.handle.net/2152/1563

30. Lee, Hyung Joo, 1979-. Advanced process control and optimal sampling in semiconductor manufacturing.

Degree: PhD, Chemical Engineering, 2008, University of Texas – Austin

 Semiconductor manufacturing is characterized by a dynamic, varying environment and the technology to produce integrated circuits is always shifting in response to the demand for… (more)

Subjects/Keywords: Semiconductor wafers – Quality control; Semiconductor wafers – Measurement; Semiconductor industry – Production control; Process control

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APA (6th Edition):

Lee, Hyung Joo, 1. (2008). Advanced process control and optimal sampling in semiconductor manufacturing. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/17929

Chicago Manual of Style (16th Edition):

Lee, Hyung Joo, 1979-. “Advanced process control and optimal sampling in semiconductor manufacturing.” 2008. Doctoral Dissertation, University of Texas – Austin. Accessed January 24, 2021. http://hdl.handle.net/2152/17929.

MLA Handbook (7th Edition):

Lee, Hyung Joo, 1979-. “Advanced process control and optimal sampling in semiconductor manufacturing.” 2008. Web. 24 Jan 2021.

Vancouver:

Lee, Hyung Joo 1. Advanced process control and optimal sampling in semiconductor manufacturing. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2008. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/2152/17929.

Council of Science Editors:

Lee, Hyung Joo 1. Advanced process control and optimal sampling in semiconductor manufacturing. [Doctoral Dissertation]. University of Texas – Austin; 2008. Available from: http://hdl.handle.net/2152/17929

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