130 results found
Sun M, Villanueva ME, Pistikopoulos EN, et al., 2019, Methodology for robust multi-parametric control in linear continuous-time systems, JOURNAL OF PROCESS CONTROL, Vol: 73, Pages: 58-74, ISSN: 0959-1524
Houska B, Chachuat B, 2019, Global optimization in Hilbert space, MATHEMATICAL PROGRAMMING, Vol: 173, Pages: 221-249, ISSN: 0025-5610
Graciano JEA, Chachuat B, Alves RMB, 2018, Enviro-economic assessment of thermochemical polygeneration from microalgal biomass, JOURNAL OF CLEANER PRODUCTION, Vol: 203, Pages: 1132-1142, ISSN: 0959-6526
Peric ND, Paulen R, Villanueva ME, et al., 2018, Set-membership nonlinear regression approach to parameter estimation, JOURNAL OF PROCESS CONTROL, Vol: 70, Pages: 80-95, ISSN: 0959-1524
Graciano JEA, Chachuat B, Alves RMB, 2018, Conversion of CO2-Rich Natural Gas to Liquid Transportation Fuels via Trireforming and Fischer-Tropsch Synthesis: Model-Based Assessment, INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, Vol: 57, Pages: 9964-9976, ISSN: 0888-5885
Quek VC, Shah N, Chachuat B, 2018, Modeling for design and operation of high-pressure membrane contactors in natural gas sweetening, CHEMICAL ENGINEERING RESEARCH & DESIGN, Vol: 132, Pages: 1005-1019, ISSN: 0263-8762
Houska B, Li JC, Chachuat B, 2018, Towards rigorous robust optimal control via generalized high-order moment expansion, OPTIMAL CONTROL APPLICATIONS & METHODS, Vol: 39, Pages: 489-502, ISSN: 0143-2087
Chachuat B, Sager S, 2018, Introduction to the Special Issue on Global and Robust Optimization of Dynamic Systems, OPTIMAL CONTROL APPLICATIONS & METHODS, Vol: 39, Pages: 425-426, ISSN: 0143-2087
Pitt JA, Gomoescu L, Pantelides CC, et al., 2018, Critical Assessment of Parameter Estimation Methods in Models of Biological Oscillators, IFAC PAPERSONLINE, Vol: 51, Pages: 72-75, ISSN: 2405-8963
Wang Y, Markides CN, Chachuat B, 2018, Optimization-based Investigations of a Thermofluidic Engine for Low-grade Heat Recovery, IFAC PAPERSONLINE, Vol: 51, Pages: 690-695, ISSN: 2405-8963
Villanueva ME, Chachuat B, Houska B, 2018, Robust Optimal Feedback Control for Periodic Biochemical Processes, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM), Publisher: ELSEVIER SCIENCE BV, Pages: 756-761, ISSN: 2405-8963
Graciano JEA, Giudici R, Alves RMB, et al., 2018, A simple PLS-based approach for the construction of compact surrogate models, Computer Aided Chemical Engineering, Pages: 421-426
© 2018 Elsevier B.V. This work describes a simple algorithm based on partial least square (PLS) to enable the construction of surrogate models using a single tuning parameter. The proposed algorithm is illustrated with the case study of a membrane module for natural gas sweetening, where a mechanistic model is used as data generator. The effect of the tuning parameter is analysed, and it is shown that this parameter captures the trade-off between the surrogates’ accuracy and their complexity (number of terms). The algorithm performance is also compared with four different approaches from the literature, showing a similar performance.
Rodríguez-Vallejo DF, Galán-Martín Á, Guillén-Gosálbez G, et al., 2018, Data envelopment analysis approach to targeting in sustainable chemical process design: Application to liquid fuels, AIChE Journal, ISSN: 0001-1541
© 2018 American Institute of Chemical Engineers This article presents a framework for combining data envelopment analysis with process systems engineering tools, aiming to improve the sustainability of chemical processes. Given a set of chemical processes, each characterized by performance indicators, the framework discriminates between efficient and inefficient processes in regard to these indicators. We develop an approach to quantifying the closest targets for an inefficient process to become efficient, while preventing unrealistic targets by accounting for thermodynamic limitations represented as mass and energy flow constraints. We demonstrate the capabilities of the framework by assessing a methanol production process with captured CO2 and fossil-based H2, in comparison to 10 alternatives. The methanol fuel is found to be suboptimal in comparison with other fuels. Making it competitive would require a significant (unrealistic in the short term) reduction in H2 price. Alternatively, the methanol fuel could become competitive upon combining fossil-based H2 with sustainably produced H2 via wind-powered electrolysis. © 2018 American Institute of Chemical Engineers AIChE J, 00: 000–000, 2018.
Graciano JEA, Alves RMB, Chachuat B, 2018, Surrogate-based Optimization Approach to Membrane Network Synthesis in Gas Separation, Editors: Friedl, Klemes, Radl, Varbanov, Wallek, Publisher: ELSEVIER SCIENCE BV, Pages: 597-602
Bernardi A, Nikolaou A, Meneghesso A, et al., 2017, Semi-empirical modeling of microalgae photosynthesis in different acclimation states - Application to N. gaditana, JOURNAL OF BIOTECHNOLOGY, Vol: 259, Pages: 63-72, ISSN: 0168-1656
Puchongkawarin C, Vaupel Y, Guo M, et al., 2017, Towards the Synthesis of Wastewater Recovery Facilities using Enviroeconomic Optimization, The Water-Food-Energy Nexus - Processes, Technologies, and Challenges, ISBN: 9781498760843
The wastewater treatment industry is undergoing a major shift towards a proactive interest in recovering materials and energy from wastewater streams, driven by both economic incentives and environmental sustainability. With the array of available treatment technologies and recovery options growing steadily, systematic approaches to determining the inherent trade-off between multiple economic and environmental objectives become necessary, namely enviroeconomic optimization.The main objective of this chapter is to present one such methodology based on superstructure modeling and multi-objective optimization, where the main environmental impacts are quantified using life cycle assessment (LCA). This methodology is illustrated with the case study of a municipal wastewater treatment facility. The results show that accounting for LCA considerations early on in the synthesis problem may lead to dramatic changes in the optimal process configuration, therebysupporting LCA integration into decision-making tools for wastewater treatment alongside economical selection criteria.
Rajyaguru J, Villanueva ME, Houska B, et al., 2017, Chebyshev model arithmetic for factorable functions, JOURNAL OF GLOBAL OPTIMIZATION, Vol: 68, Pages: 413-438, ISSN: 0925-5001
This paper is concerned with tube-based model predictive control (MPC) for both linear and nonlinear, input-affine continuous-time dynamic systems that are affected by time-varying disturbances. We derivea min-max differential inequality describing the support function of positive robust forward invariant tubes, which can be used to construct a variety of tube-based model predictive controllers. These constructions are conservative, but computationally tractable and their complexity scales linearly with the length of the prediction horizon. In contrast to many existing tube-based MPC implementations, the proposed framework does not involve discretizing the control policy and, therefore, the conservatism of the predicted tube depends solely on the accuracy of the set parameterization. The proposed approach is then used to construct a robustMPCscheme based on tubes with ellipsoidal cross-sections. This ellipsoidal MPC scheme is based on solving an optimal control problem under linear matrix inequality constraints. We illustrate these results with the numerical case study of a spring-mass-damper system.
Peric ND, Villanueva ME, Chachuat B, 2017, SENSITIVITY ANALYSIS OF UNCERTAIN DYNAMIC SYSTEMS USING SET-VALUED INTEGRATION, SIAM JOURNAL ON SCIENTIFIC COMPUTING, Vol: 39, Pages: A3014-A3039, ISSN: 1064-8275
Villanueva ME, Li JC, Feng X, et al., 2017, Computing Ellipsoidal Robust Forward Invariant Tubes for Nonlinear MPC, IFAC PAPERSONLINE, Vol: 50, Pages: 7175-7180, ISSN: 2405-8963
Sun M, Villanueva ME, Pistikopoulos EN, et al., 2017, Robust Multi-Parametric Control of Continuous-Time Linear Dynamic Systems, IFAC PAPERSONLINE, Vol: 50, Pages: 4660-4665, ISSN: 2405-8963
Feng X, Villanueva ME, Chachuat B, et al., 2017, Branch-and-Lift algorithm for obstacle avoidance control, IEEE 56th Annual Conference on Decision and Control (CDC), Publisher: IEEE, ISSN: 0743-1546
Diaz-Bejarano E, Porsin AV, Macchietto S, 2017, Fossil fuel: Energy efficient thermal retrofit options for crude oil transport in pipelines, The Water-Food-Energy Nexus: Processes, Technologies, and Challenges, Pages: 277-296, ISBN: 9781498760836
© 2018 by Taylor & Francis Group, LLC. Pipelines are used to transport large amounts of crude oil over large distances (either overland or subsea), representing the most economical alternative. Flow assurance faces two main problems: viscosity increase due to gradual cooling of the oil along the pipeline and fouling deposition. These problems are especially important in very cold environments (Russia, Alaska, North Sea, deep oceanic waters, etc.) and when dealing with nonconventional oils, usually heavy or extra-heavy oil and waxy oils. In many cases, the depletion of deposits in conventional oil reservoirs is gradually leading to more extraction of these types of feedstock from remote locations. All these situations result in pipeline transport difficulties such as increased pumping costs, reduced flow rates, and the possibility of flow inhibition or blockage, with potentially major economic impact (Correra et al., 2007; Martínez-Palou et al., 2011).
Sun M, Chachuat B, Pistikopoulos EN, 2016, Design of multi-parametric NCO tracking controllers for linear dynamic systems, COMPUTERS & CHEMICAL ENGINEERING, Vol: 92, Pages: 64-77, ISSN: 0098-1354
Paulen R, Villanueva ME, Chachuat B, 2016, Guaranteed parameter estimation of non-linear dynamic systems using high-order bounding techniques with domain and CPU-time reduction strategies, IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, Vol: 33, Pages: 563-587, ISSN: 0265-0754
Bernardi A, Nikolaou A, Meneghesso A, et al., 2016, High-Fidelity Modelling Methodology of Light-Limited Photosynthetic Production in Microalgae (vol 11, e0152387, 2016), PLOS ONE, Vol: 11, ISSN: 1932-6203
Bernardi A, Nikolaou A, Meneghesso A, et al., 2016, High-Fidelity Modelling Methodology of Light-Limited Photosynthetic Production in Microalgae, PLOS ONE, Vol: 11, ISSN: 1932-6203
Nikolaou A, Hartmann P, Sciandra A, et al., 2016, Dynamic coupling of photoacclimation and photoinhibition in a model of microalgae growth, JOURNAL OF THEORETICAL BIOLOGY, Vol: 390, Pages: 61-72, ISSN: 0022-5193
Ulmasov D, Baroukh C, Chachuat B, et al., 2016, Bayesian Optimization with Dimension Scheduling: Application to Biological Systems, Publisher: ELSEVIER SCIENCE BV
Sun M, Villanueva ME, Chachuat B, et al., 2016, Strategies towards the robust multi-parametric control of continuous-time systems, Pages: 355-357
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