default search action
Computers & Chemical Engineering, Volume 114
Volume 114, June 2018
- Christos T. Maravelias, Lawrence Megan, John M. Wassick, B. Erik Ydstie:
Editorial of FOCAPO/CPC 2017. 1-2 - Lorenz T. Biegler:
Advanced optimization strategies for integrated dynamic process operations. 3-13 - Pedro M. Castro, Ignacio E. Grossmann, Qi Zhang:
Expanding scope and computational challenges in process scheduling. 14-42 - Prodromos Daoutidis, Wentao Tang, Sujit S. Jogwar:
Decomposing complex plants for distributed control: Perspectives from network theory. 43-51 - Peter G. Stechlinski, Michael Patrascu, Paul I. Barton:
Nonsmooth differential-algebraic equations in chemical engineering. 52-68 - Yining Dong, Si-Zhao Joe Qin:
Dynamic latent variable analytics for process operations and control. 69-80 - Bethany Nicholson, John D. Siirola:
A framework for modeling and optimizing dynamic systems under uncertainty. 81-88 - James B. Rawlings, Nishith R. Patel, Michael J. Risbeck, Christos T. Maravelias, Michael J. Wenzel, Robert D. Turney:
Economic MPC and real-time decision making with application to large-scale HVAC energy systems. 89-98 - Burcu Beykal, Fani Boukouvala, Christodoulos A. Floudas, Nadav Sorek, Hardikkumar Zalavadia, Eduardo Gildin:
Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations. 99-110 - Jay H. Lee, Joohyun Shin, Matthew J. Realff:
Machine learning: Overview of the recent progresses and implications for the process systems engineering field. 111-121 - Alf J. Isaksson, Iiro Harjunkoski, Guido Sand:
The impact of digitalization on the future of control and operations. 122-129 - Thomas F. Edgar, Efstratios N. Pistikopoulos:
Smart manufacturing and energy systems. 130-144 - Jianfeng Liu, Michael Bynum, Anya Castillo, Jean-Paul Watson, Carl D. Laird:
A multitree approach for global solution of ACOPF problems using piecewise outer approximations. 145-157 - Tor Aksel N. Heirung, Joel A. Paulson, Jared O'Leary, Ali Mesbah:
Stochastic model predictive control - how does it work? 158-170 - Fahad Albalawi, Helen Durand, Panagiotis D. Christofides:
Process operational safety via model predictive control: Recent results and future research directions. 171-190 - Matt Bassett:
Optimizing the Design of New and Existing Supply Chains at Dow AgroSciences. 191-200 - Irene Lotero, Ajit Gopalakrishnan, Thierry Roba:
On improving the online performance of production scheduling: Application to air separation units. 201-210 - Blake C. Rawlings, John M. Wassick, B. Erik Ydstie:
Application of formal verification and falsification to large-scale chemical plant automation systems. 211-220 - Rahul Bindlish:
Scheduling, optimization and control of power for industrial cogeneration plants. 221-224 - Wenkai Hu, Sirish L. Shah, Tongwen Chen:
Framework for a smart data analytics platform towards process monitoring and alarm management. 225-244 - Bjarne A. Foss, Brage Rugstad Knudsen, Bjarne A. Grimstad:
Petroleum production optimization - A static or dynamic problem? 245-253 - Alexander W. Dowling, Victor M. Zavala:
Economic opportunities for industrial systems from frequency regulation markets. 254-264 - Oluwasanmi Adeodu, Donald J. Chmielewski:
A two-stage procedure for the optimal sizing and placement of grid-level energy storage. 265-272 - Danielle Zyngier, Jan Lategan, Ludwig Furstenberg:
A process systems approach for detailed rail planning and scheduling applications. 273-280 - Tobias K. S. Ritschel, Andrea Capolei, Jozsef Gáspár, John Bagterp Jørgensen:
An algorithm for gradient-based dynamic optimization of UV flash processes. 281-295 - Julien Billeter, Diogo Rodrigues, Sriniketh Srinivasan, Michael Amrhein, Dominique Bonvin:
On decoupling rate processes in chemical reaction systems - Methods and applications. 296-305 - Prashanth Siddhamshetty, Seeyub Yang, Joseph Sang-Il Kwon:
Modeling of hydraulic fracturing and designing of online pumping schedules to achieve uniform proppant concentration in conventional oil reservoirs. 306-317 - Denis Dochain:
Analysis of the multiplicity of steady-state profiles of two tubular reactor models. 318-324
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.