| 1 |
Model predictive automatic control of sucker rod pump system with simulation case study
Hansen B, Tolbert B, Vernon C, Hedengren JD
Computers & Chemical Engineering, 121, 265, 2019 |
| 2 |
Performance comparison of low temperature and chemical absorption carbon capture processes in response to dynamic electricity demand and price profiles
Safdarnejad SM, Hedengren JD, Powell KM
Applied Energy, 228, 577, 2018 |
| 3 |
Integrated scheduling and control in discrete-time with dynamic parameters and constraints
Beal LDR, Petersen D, Grimsman D, Warnick S, Hedengren JD
Computers & Chemical Engineering, 115, 361, 2018 |
| 4 |
Real time model identification using multi-fidelity models in managed pressure drilling
Eaton AN, Beal LDR, Thorpe SD, Hubbell CB, Hedengren JD, Nybo R, Aghito M
Computers & Chemical Engineering, 97, 76, 2017 |
| 5 |
Combined model predictive control and scheduling with dominant time constant compensation
Beal LDR, Park J, Petersen D, Warnick S, Hedengren JD
Computers & Chemical Engineering, 104, 271, 2017 |
| 6 |
Optimal combined long-term facility design and short-term operational strategy for CHP capacity investments
Mojica JL, Petersen D, Hansen B, Powell KM, Hedengren JD
Energy, 118, 97, 2017 |
| 7 |
Dynamic optimization of a hybrid system of energy-storing cryogenic carbon capture and a baseline power generation unit
Safdarnejad SM, Hedengren JD, Baxter LL
Applied Energy, 172, 66, 2016 |
| 8 |
Dynamic parameter estimation and optimization for batch distillation
Safdarnejad SM, Gallacher JR, Hedengren JD
Computers & Chemical Engineering, 86, 18, 2016 |
| 9 |
Thermal energy storage to minimize cost and improve efficiency of a polygeneration district energy system in a real-time electricity market
Powell KM, Kim JS, Cole WJ, Kapoor K, Mojica JL, Hedengren JD, Edgar TF
Energy, 113, 52, 2016 |
| 10 |
Plant-level dynamic optimization of Cryogenic Carbon Capture with conventional and renewable power sources
Safdarnejad SM, Hedengren JD, Baxter LL
Applied Energy, 149, 354, 2015 |
