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Morgan T. Kelley
Morgan T. Kelley
Chemical Engineering, University of Texas at Austin
Verified email at utexas.edu
Title
Cited by
Cited by
Year
An MILP framework for optimizing demand response operation of air separation units
MT Kelley, RC Pattison, R Baldick, M Baldea
Applied energy 222, 951-966, 2018
692018
An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations
MT Kelley, RC Pattison, R Baldick, M Baldea
Computers & Chemical Engineering 110, 35-52, 2018
462018
Demand response scheduling under uncertainty: chance‐constrained framework and application to an air separation unit
MT Kelley, R Baldick, M Baldea
AIChE Journal 66 (9), e16273, 2020
242020
Demand response operation of electricity-intensive chemical processes for reduced greenhouse gas emissions: application to an air separation unit
MT Kelley, R Baldick, M Baldea
ACS Sustainable Chemistry & Engineering 7 (2), 1909-1922, 2018
202018
Adsorption and release of surfactant into and from multifunctional zwitterionic poly (NIPAm-co-DMAPMA-co-AAc) microgel particles
H Chen, M Kelley, C Guo, JL Yarger, LL Dai
Journal of colloid and interface science 449, 332-340, 2015
162015
An empirical study of moving horizon closed-loop demand response scheduling
MT Kelley, R Baldick, M Baldea
Journal of Process Control 92, 137-148, 2020
102020
A direct transcription-based multiple shooting formulation for dynamic optimization
MT Kelley, R Baldick, M Baldea
Computers & Chemical Engineering 140, 106846, 2020
62020
Process control and energy efficiency
JM Simkoff, F Lejarza, MT Kelley, C Tsay, M Baldea
Annual Review of Chemical and Biomolecular Engineering 11, 423-445, 2020
62020
A data-driven linear formulation of the optimal demand response scheduling problem for an industrial air separation unit
MT Kelley, C Tsay, Y Cao, Y Wang, J Flores-Cerrillo, M Baldea
Chemical Engineering Science 252, 117468, 2022
42022
Feedback-Based Deterministic Optimization Is a Robust Approach for Supply Chain Management under Demand Uncertainty
F Lejarza, MT Kelley, M Baldea
Industrial & Engineering Chemistry Research 61 (33), 12153-12168, 2022
32022
Evaluating the demand response potential of ammonia plants
MT Kelley, TT Do, M Baldea
AIChE Journal 68 (3), e17552, 2022
32022
Dynamic modeling and optimal scheduling of chemical processes participating in fast-changing electricity markets: a data-driven approach
MT Kelley
2021
A Discrete Multiple Shooting Formulation for Efficient Dynamic Optimization
MT Kelley, R Baldick, M Baldea
Computer Aided Chemical Engineering 48, 1771-1776, 2020
2020
Demand Response Operation of Air Separation Units Utilizing an Efficient MILP Modeling Framework
M Kelley, R Pattison, R Baldick, M Baldea
2017 AIChE Annual Meeting, 2017
2017
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