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Dive into the research topics where Harvey Arellano-Garcia is active.

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Featured researches published by Harvey Arellano-Garcia.


Chemical Engineering and Processing | 2000

Integration of simulated annealing to a simulation tool for dynamic optimization of chemical processes

Pu Li; Katharina Löwe; Harvey Arellano-Garcia; G. Wozny

Dynamic optimization of processes in chemical industry became important in the last decade. Simulated annealing belongs to these optimization procedures, which allow to reach the global optimum, but are very time-consuming. In this paper, the simulated annealing algorithm has been formulated in a way to enable direct call of process simulators coded in the commercial simulation tool SPEEDUP. We apply simulated annealing for the determination of operation policies in a binary distillation. The developed approach allows the prediction of reflux flow rate and reboiler duty in order to minimize the operation time for product switchover of the column.


Journal of Natural Gas Chemistry | 2012

Experimental investigation of fluidized-bed reactor performance for oxidative coupling of methane

Stanislav Jašo; S. Sadjadi; H. R. Godini; U. Simon; S. Arndt; O. Görke; A. Berthold; Harvey Arellano-Garcia; H. Schubert; Reinhard Schomäcker; G. Wozny

Performance of the oxidative coupling of methane in fluidized-bed reactor was experimentally investigated using Mn-Na2WO4/SiO2, La2O3/CaO and La2O3-SrO/CaO catalysts. These catalysts were found to be stable, especially Mn-Na2WO4/SiO2 catalyst. The effect of sodium content of this catalyst was analyzed and the challenge of catalyst agglomeration was addressed using proper catalyst composition of 2%Mn-2.2%Na2WO4/SiO2. For other two catalysts, the effect of Lanthanum-Strontium content was analyzed and 10%La2O3–20%SrO/CaO catalyst was found to provide higher ethylene yield than La2O3/CaO catalyst. Furthermore, the effect of operating parameters such as temperature and methane to oxygen ratio were also reviewed. The highest ethylene and ethane (C2) yield was achieved with the lowest methane to oxygen ratio around 2. 40.5% selectivity to ethylene and ethane and 41% methane conversion were achieved over La2O3-SrO/CaO catalyst while over Mn-Na2WO4/SiO2 catalyst, 40% and 48% were recorded, respectively. Moreover, the consecutive effects of nitrogen dilution, ethylene to ethane production ratio and other performance indicators on the down-stream process units were qualitatively discussed and Mn-Na2WO4/SiO2 catalyst showed a better performance in the reactor and process scale analysis.


Computer-aided chemical engineering | 2010

Oxidative Coupling of Methane: Reactor Performance and Operating Conditions

Stanislav Jašo; Hamid Reza Godini; Harvey Arellano-Garcia; Günter Wozny

Abstract In this work, the achievable performance in case of desired-product selectivity, yield and conversion are evaluated systematically for different reactors in order to find the optimum range of operation for the OCM process. This approach is applied to a nonisothermal plug flow reactor and a nonisothermal porous packed bed membrane reactor using different types of catalysts in the wide range of operating conditions. Moreover, a fluidized bed reactor is also considered. The results show that tracking the optimum area of operation has a monotonic direction under some range of operating conditions, whereas it reflects a qualitative trade-offs under some other ranges of operating conditions. For all investigated reactor concepts the likelihood of optimal operating conditions are found, and the best corresponding performance for all of them are reported.


Lecture Notes in Control and Information Sciences | 2007

Close-Loop Stochastic Dynamic Optimization Under Probabilistic Output-Constraints

Harvey Arellano-Garcia; Moritz Wendt; Tilman Barz; G. Wozny

In this work, two methods based on a nonlinear MPC scheme are proposed to solve close-loop stochastic dynamic optimization problems assuring both robustness and feasibility with respect to output constraints. The main concept lies in the consideration of unknown and unexpected disturbances in advance. The first one is a novel deterministic approach based on the wait-and-see strategy. The key idea is here to anticipate violation of output hard-constraints, which are strongly affected by instantaneous disturbances, by backing off of their bounds along the moving horizon. The second method is a new stochastic approach to solving nonlinear chance-constrained dynamic optimization problems under uncertainties. The key aspect is the explicit consideration of the stochastic properties of both exogenous and endogenous uncertainties in the problem formulation (here-and-now strategy). The approach considers a nonlinear relation between the uncertain input and the constrained output variables.


Computer-aided chemical engineering | 2008

Optimum experimental design for key performance indicators

Stefan Körkel; Harvey Arellano-Garcia; Jan Schöneberger; Günter Wozny

Abstract In this paper the methods of experimental design are used to minimize the uncertainty of the prediction of specific process output quantities, the so called key performance indicators. This is achieved by experimental design for constrained parameter estimation problems. We formulate these problems and apply our methods to an example from chemical reaction kinetics.


Computer-aided chemical engineering | 2007

Improving the efficiency of membrane bioreactors by a novel model-based control of membrane filtration

Anja Drews; Harvey Arellano-Garcia; Jan Schöneberger; J. Schaller; Matthias Kraume; Günter Wozny

Abstract In this work, a new model-based control strategy for membrane separation is presented which is based on an automated recognition of current dominant filtration mechanisms during the operation. For this purpose, a model-based optimization framework is proposed which includes parameter identifiability and estimation, as well as an enhanced model discrimination step. Based on the developed approach, it is now possible to identify time points, i.e., time intervals where a certain model is valid or more appropriate. Thus, suitable control actions can be carried out in order to increase the permeability respective to each mechanism improving the filtration performance in membrane bioreactors (MBR). The validation of the novel approach is demonstrated using experimental data from a test cell as well as from an MBR pilot plant.


Computer-aided chemical engineering | 2006

A new operation mode for reactive batch distillation in middle vessel columns: Start-up and operation

Irisay Carmona; Harvey Arellano-Garcia; Günter Wozny

Abstract The most outstanding feature of batch distillation is its flexibility in design and operation. In particular, when chemical reactions and physical separations have some overlapping operating conditions the combination of these tasks can offer significant benefits. In this work, we propose a new operation mode for reactive batch distillation in middle vessel columns. The special feature of this novel operation mode lies on the fact that depending on the characteristics of the reaction mixture, the reaction will also take place either along the upper column, or along the lower column. The performance of the novel operation mode is demonstrated through rigorous simulation of two industrial reactive batch distillation processes. Furthermore, since the performance of the start-up procedure has a large impact on the entire reactive batch distillation process, we also focus on the description of the dynamic behavior of the start-up operation starting from the cold and empty batch columns as the initial state. The proposed model includes both equation and variable discontinuity. Thus, we propose in this work a modeling approach to describe, the state transitions during the start-up phase. To show its efficiency, the developed approach has been applied to the start-up operation simulation of different batch distillation column configurations with overlapping chemical reactions. Due to the reliable initial state, the developed models are employed for model based optimization and control.


Journal of Chromatography A | 2010

Optimal determination of steric mass action model parameters for β-lactoglobulin using static batch experiments

Tilman Barz; Verena Löffler; Harvey Arellano-Garcia; Günter Wozny

In this work, parameters of the steric mass-formalism SMA are optimally ascertained for a reliable determination of the adsorption isotherms of beta-lactoglobulin A and B under non-isocratic conditions. For this purpose, static batch experiments are used in contrast to the protocols based on different experimental steps, which use a chromatographic column. It is shown that parameters can already be determined for a small number of experiments by using a systematic procedure based on optimal model-based experimental design and an efficient NLP-solver. The in different works observed anti-Langmuir shape of the isotherm for small concentrations of beta-lactoglobulin A was corroborated. Moreover, we also found indications for a porosity variation with changing protein concentrations.


Computer-aided chemical engineering | 2007

A hybrid optimization approach to parameter estimation

Richard Faber; Harvey Arellano-Garcia; Günter Wozny

Abstract Many parameter estimation problems in chemical or biochemical engineering lead to ill-conditioned and nonconvex optimization problems. For bad starting values the use gradient based result in local optimal solutions. To overcome this drawback, a global optimization approach, Simulated Annealing, has been coupled with a gradient-based SQP approach. To improve the accuracy of the parameter estimates, sensitivity information has been included into the objective function by iteratively adjusting the weighting matrix with the variancecovariance matrix of the model prediction. The hybrid approach has been applied to a case study of biochemical nonlinear parameter estimation problem.


Computer-aided chemical engineering | 2012

Optimal Operation of a Membrane Reactor Network

Erik Esche; Harvey Arellano-Garcia; G. Wozny; Lorenz T. Biegler

In this work, a two-dimensional model for a conventional packed-bed membrane reactor (CPBMR) is developed for the oxidative coupling of methane, which uses a nonselective porous membrane to continuously feed oxygen to the catalytic bed. The model incorporates radial diffusion and thermal conduction and assumes convective transport for the axial direction. In addition, two 10 cm long cooling segments for the CPBMR were implemented based on the idea of a fixed cooling temperature outside the reactor shell. The resulting model is discretized using two-dimensional orthogonal collocation on finite elements with a combination of Hermite polynomials for the radial and Lagrangian polynomials for the axial coordinate. The simulation study shows that it is necessary to make all transport coefficients dependent on local temperatures and compositions. This leads to a simulation with roughly 130,000 variables, which is then used to generate initial points for the optimization of the CPBMR stand-alone operation. In addition, inequality constraints and variable bounds are introduced so as to avoid potentially hazardous mixtures of methane and oxygen in both shell and tube as well as to keep the temperatures below levels stressing reactor materials (< 1,100 °C). Moreover, membrane thickness, feed compositions, temperatures at the reactor inlet and for the cooling segments, diameters of tube and shell, and finally the amount of inert packing in the reactor are considered as decision variables. The optimization procedure uses IPOPT as a solver. Afterwards, the 2D model is integrated into a membrane reactor network (MRN) proposed by H. Godin, 2010 which is simulated. Finally, attempts are made to optimize its operation.

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Günter Wozny

Technical University of Berlin

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G. Wozny

Technical University of Berlin

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Jan Schöneberger

Technical University of Berlin

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Tilman Barz

Austrian Institute of Technology

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Moritz Wendt

Technical University of Berlin

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Tilman Barz

Austrian Institute of Technology

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Anja Drews

HTW Berlin - University of Applied Sciences

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Pu Li

Technische Universität Ilmenau

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Matthias Kraume

Technical University of Berlin

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Stanislav Jašo

Technical University of Berlin

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