Model predictive control simulations with block-hierarchical differential–algebraic process models

Parker, Robert B.; Nicholson, Bethany L.; Siirola, John D.; Biegler, Lorenz T.

doi:10.1016/j.jprocont.2023.103113

Title: Model predictive control simulations with block-hierarchical differential–algebraic process models

Journal Article · 30 November 2023 · Journal of Process Control

DOI: https://doi.org/10.1016/j.jprocont.2023.103113 · OSTI ID:2311521

; Nicholson, Bethany L.; Siirola, John D.; Biegler, Lorenz T.

View Accepted Manuscript (DOE)

Cite

Export

Save

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: NA0003525

OSTI ID:: 2311521

Alternate ID(s):: OSTI ID: 2315657

Report Number(s):: SAND--02023-13733J

Journal Information:: Journal of Process Control, Journal Name: Journal of Process Control Journal Issue: 0959-1524 Vol. 132; ISSN 0959-1524

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (31)

A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl Jalving, Jordan; Shin, Sungho; Zavala, Victor M. Mathematical Programming Computation, Vol. 14, Issue 4 https://doi.org/10.1007/s12532-022-00223-3	journal	August 2022
Array programming with NumPy Harris, Charles R.; Millman, K. Jarrod; van der Walt, Stéfan J. Nature, Vol. 585, Issue 7825 https://doi.org/10.1038/s41586-020-2649-2	journal	September 2020
Process systems engineering – The generation next? Pistikopoulos, E. N.; Barbosa-Povoa, Ana; Lee, Jay H. Computers & Chemical Engineering, Vol. 147 https://doi.org/10.1016/j.compchemeng.2021.107252	journal	April 2021
Scalable Parallel Nonlinear Optimization with PyNumero and Parapint Rodriguez, Jose S.; Parker, Robert B.; Laird, Carl D. INFORMS Journal on Computing, Vol. 35, Issue 2 https://doi.org/10.1287/ijoc.2023.1272	journal	March 2023
Efficient parallel solution of large-scale nonlinear dynamic optimization problems Word, Daniel P.; Kang, Jia; Akesson, Johan Computational Optimization and Applications, Vol. 59, Issue 3 https://doi.org/10.1007/s10589-014-9651-2	journal	April 2014
Block-oriented modeling of superstructure optimization problems Friedman, Zev; Ingalls, Jack; Siirola, John D. Computers & Chemical Engineering, Vol. 57 https://doi.org/10.1016/j.compchemeng.2013.04.008	journal	October 2013
Modelica - An International Effort to Design the Next Generation Modeling Language Mattsson, Sven Erik; Elmqvist, Hilding IFAC Proceedings Volumes, Vol. 30, Issue 4 https://doi.org/10.1016/S1474-6670(17)43628-7	journal	April 1997
JuMP: A Modeling Language for Mathematical Optimization Dunning, Iain; Huchette, Joey; Lubin, Miles SIAM Review, Vol. 59, Issue 2 https://doi.org/10.1137/15M1020575	journal	January 2017
Rapid development of modular and sustainable nonlinear model predictive control solutions Lucia, Sergio; Tătulea-Codrean, Alexandru; Schoppmeyer, Christian Control Engineering Practice, Vol. 60 https://doi.org/10.1016/j.conengprac.2016.12.009	journal	March 2017
pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations Nicholson, Bethany; Siirola, John D.; Watson, Jean-Paul Mathematical Programming Computation, Vol. 10, Issue 2 https://doi.org/10.1007/s12532-017-0127-0	journal	December 2017
Dynamic modelling and optimal control strategies for chemical-looping combustion in an industrial-scale packed bed reactor Lucio, Marco; Ricardez-Sandoval, Luis A. Fuel, Vol. 262 https://doi.org/10.1016/j.fuel.2019.116544	journal	February 2020
Julia: A Fresh Approach to Numerical Computing Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan SIAM Review, Vol. 59, Issue 1 https://doi.org/10.1137/141000671	journal	January 2017
Graph-Based Modeling and Decomposition of Energy Infrastructures Shin, Sungho; Coffrin, Carleton; Sundar, Kaarthik IFAC-PapersOnLine, Vol. 54, Issue 3 https://doi.org/10.1016/j.ifacol.2021.08.322	journal	January 2021
Graph-based modeling and simulation of complex systems Jalving, Jordan; Cao, Yankai; Zavala, Victor M. Computers & Chemical Engineering, Vol. 125 https://doi.org/10.1016/j.compchemeng.2019.03.009	journal	June 2019
GEKKO Optimization Suite Beal, Logan; Hill, Daniel; Martin, R. Processes, Vol. 6, Issue 8 https://doi.org/10.3390/pr6080106	journal	July 2018
An implicit function formulation for optimization of discretized index-1 differential algebraic systems Parker, Robert; Nicholson, Bethany; Siirola, John Computers & Chemical Engineering, Vol. 168 https://doi.org/10.1016/j.compchemeng.2022.108042	journal	December 2022
A unifying modeling abstraction for infinite-dimensional optimization Pulsipher, Joshua L.; Zhang, Weiqi; Hongisto, Tyler J. Computers & Chemical Engineering, Vol. 156 https://doi.org/10.1016/j.compchemeng.2021.107567	journal	January 2022
PySP: modeling and solving stochastic programs in Python Watson, Jean-Paul; Woodruff, David L.; Hart, William E. Mathematical Programming Computation, Vol. 4, Issue 2 https://doi.org/10.1007/s12532-012-0036-1	journal	March 2012
Dynamic Modeling and Nonlinear Model Predictive Control of a Moving Bed Chemical Looping Combustion Reactor Parker, Robert B.; Biegler, Lorenz T. IFAC-PapersOnLine, Vol. 55, Issue 7 https://doi.org/10.1016/j.ifacol.2022.07.476	journal	January 2022
Pyomo: modeling and solving mathematical programs in Python Hart, William E.; Watson, Jean-Paul; Woodruff, David L. Mathematical Programming Computation, Vol. 3, Issue 3 https://doi.org/10.1007/s12532-011-0026-8	journal	August 2011
Model-Based Dynamic Optimization with OpenModelica and CasADi Shitahun, Alachew; Ruge, Vitalij; Gebremedhin, Mahder IFAC Proceedings Volumes, Vol. 46, Issue 21 https://doi.org/10.3182/20130904-4-JP-2042.00166	journal	January 2013
Optimal Design and Control of a Multiscale Model for a Packed Bed Chemical-Looping Combustion Reactor Toffolo, Kathryn; Ricardez-Sandoval, Luis IFAC-PapersOnLine, Vol. 54, Issue 3 https://doi.org/10.1016/j.ifacol.2021.08.310	journal	January 2021
A theoretical investigation of CLC in packed beds. Part 2: Reactor model Noorman, S.; Gallucci, F.; van Sint Annaland, M. Chemical Engineering Journal, Vol. 167, Issue 1 https://doi.org/10.1016/j.cej.2011.01.012	journal	February 2011
JuMP 1.0: recent improvements to a modeling language for mathematical optimization Lubin, Miles; Dowson, Oscar; Garcia, Joaquim Dias Mathematical Programming Computation, Vol. 15, Issue 3 https://doi.org/10.1007/s12532-023-00239-3	journal	June 2023
The IDAES process modeling framework and model library—Flexibility for process simulation and optimization Lee, Andrew; Ghouse, Jaffer H.; Eslick, John C. Journal of Advanced Manufacturing and Processing, Vol. 3, Issue 3 https://doi.org/10.1002/amp2.10095	journal	May 2021
A framework for the optimization of chemical looping combustion processes Okoli, Chinedu O.; Ostace, Anca; Nadgouda, Sourabh Powder Technology, Vol. 365 https://doi.org/10.1016/j.powtec.2019.04.035	journal	April 2020
CasADi: a software framework for nonlinear optimization and optimal control Andersson, Joel A. E.; Gillis, Joris; Horn, Greg Mathematical Programming Computation, Vol. 11, Issue 1 https://doi.org/10.1007/s12532-018-0139-4	journal	July 2018
Dynamic optimization of fixed bed chemical-looping combustion processes Han, Lu; Bollas, George M. Energy, Vol. 112 https://doi.org/10.1016/j.energy.2016.07.031	journal	October 2016
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming Wächter, Andreas; Biegler, Lorenz T. Mathematical Programming, Vol. 106, Issue 1 https://doi.org/10.1007/s10107-004-0559-y	journal	April 2005
Modeling of combined discrete/continuous processes Barton, P. I.; Pantelides, C. C. AIChE Journal, Vol. 40, Issue 6 https://doi.org/10.1002/aic.690400608	journal	June 1994
COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization Langiu, Marco; Shu, David Yang; Baader, Florian Joseph Computers & Chemical Engineering, Vol. 152 https://doi.org/10.1016/j.compchemeng.2021.107366	journal	September 2021

Similar Records

DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks

Journal Article · 2022 · Neural Computing and Applications · OSTI ID:2421762

Moya, Christian; Lin, Guang

Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems

Journal Article · 2022 · Journal of Process Control · OSTI ID:1874825

Drgoňa, Ján; Kiš, Karol; Tuor, Aaron; +2 more

Cabin and Battery Thermal Management of Connected and Automated HEVs for Improved Energy Efficiency Using Hierarchical Model Predictive Control

Journal Article · 2020 · IEEE Transactions on Control Systems Technology · OSTI ID:1799089

Amini, Mohammad Reza; Wang, Hao; Gong, Xun; +3 more

Title: Model predictive control simulations with block-hierarchical differential–algebraic process models

Citation Formats

References (31)

Similar Records

Related Subjects