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SSRN 2024年

作者： Akkor, Ilayda Iyer, Shachit S. Dowdle, John Wang, Le Gounaris, Chrysanthos E. Dept. of Chemical Engineering Center for Advanced Process Decision-making Carnegie Mellon University PittsburghPA15213 United States The Dow Chemical Company Lake JacksonTX United States

Given the urgent need to mitigate increasing CO2 emissions and alleviate the climate crisis, amine-based post-combustion capture (PCC) processes have emerged as a prominent method to reduce the emissions from industrial point sources. While many technological advancements have been introduced for such processes, leading to decreased energy requirements for capture, there are still only a few commercial installations because of their high costs. Therefore, these processes can benefit from process optimization to enhance their economic viability. This work presents a new open-source, rate-based, equation-oriented model of a novel PCC process that uses piperazine as the amine solvent. The proposed non-convex model can be used for both simulation and optimization and, to ensure its robust convergence, we further devise a custom-made, multi-level cascade initialization scheme. The model was validated with published pilot plant data and then optimized for pilot and commercial scales with an economic objective that considers both capital and operational costs. Results show that process optimization can indeed improve the economics of this technology, leading to 24.5% yearly savings at the pilot scale compared to the baseline case considered in the study. Additional parametric analyses were performed to understand how the flue gas flowrate and CO2 concentration, as well as the target capture rate, affects the cost of capture. © 2024, The Authors. All rights reserved.

关键词： Pilot plants

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Operating point, dynamic behavior, and control structure design for an industrial butadiene plant

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IFAC Proceedings Volumes 2001年第25期34卷 131-136页

作者： S.M. Marcon J.O. Trierweile A.R. Secchi L.P. Lusa M. Farenzena Laboratory of Process Control and Integration (IACIP) Dept. of Chemical Engineering. Federal University of Rio Grande do Sui (UFRGS) Rua Marechal Floriano 501 CEP: 90020-061 - Porto Alegre - RS - BRAZIL

The Butadiene Extractive Unit (BEU) recovers 1, 3-butadiene (BD) from a C4 stream of an ethylene plant. The main goals of this work are to increase the operating time, the feed flow rate, and the BD production of a industrial BEU. These goals will be reached through the proposition of a new operating point and the selection of an appropriate control strategy for the first extractive distillation column. The study is based on the knowledge of the dynamic and stationary characteristics of the unit. The analysis of the process behavior was accomplished using a model developed in the commercial simulators ASPEN Plus and Dynamics v.10.1. The model was validated using real data from an industrial unit.

关键词： Plant Wide control control Structure Design process Operation and Optimization Dynamic Simulation Butadiene unit

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Optimal parameter estimation of the Izhikevich single neuron model using experimental inter-spike interval (ISI) data

Optimal parameter estimation of the Izhikevich single neuron...

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American control Conference

作者： Gautam Kumar Vikram Aggarwal Nitish V. Thakor Marc H. Schieber Mayuresh V. Kothare Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA 18015 U.S.A. Department of Biomedical Engineering Johns Hopkins University Baltimore MD 21205 U.S.A. Department of Neurobiology and Anatomy University of Rochester Medical Center Rochester NY 14627 U.S.A.

ISBN: (纸本)9781424474264

We propose to use the Izhikevich single neuron model to represent a motor cortex neuron for studying a control-theoretic perspective of a neuroprosthetic system. The problem of estimating model parameters is addressed when the only available data from intracortical recordings of a neuron are the Inter-Spike Intervals (ISIs). Non-linear constrained and unconstrained optimization problems are formulated to estimate model parameters as well as synaptic inputs using ISIs data. The primal-dual interior-point method is implemented to solve the constrained optimization problem. Reasonable model parameters are estimated by solving these optimization problems which may serve as a template for studying and developing a model of ensemble cortical neurons for neuroprosthesis applications.

关键词： Neurons model parameters optimal parameter UNCONSTRAINED OPTIMISATION Parameter estimation available data jigs(templates)

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Editorial

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Aerosol Europe 2001年第4期9卷 3-3页

作者： Braune, B.V. Dept. of Chemical Engineering Curtin University of Technology GPO Box UI987 Perth WA 6845 Australia National Loboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 P. R. China

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A Study of a Gun-Turret Assembly in an Armored Tank using Model Predictive control

A Study of a Gun-Turret Assembly in an Armored Tank using Mo...

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2009 American control Conference (ACC 2009)

作者： Gautam Kumar Pradeep Y. Tiwari Vincent Marcopoli Mayuresh V. Kothare Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA 18015 U.S.A. Process Dynamics and Optimization group Bayer Technology Services Americas 8500 W Bay Rd Baytown TX 77523 U.S.A. General Dynamics Land Systems Sterling Hts. MI 48310 U.S.A.

ISBN: (纸本)9781424445233

Operation of the gun/turret system in a military tank is limited by several constraints some of which are posed by obstacles existing on the vehicle's own platform. These mechanical constraints acting as hard constraints can cause serious damage to the whole assembly if violated. A control strategy developed for such a system must avoid possible collision of the gun/turret system with these obstacles. We propose to use a MPC based control strategy, due to its inherent ability to handle constraints, for the deck clearance problem and evaluate its performance under operating conditions for a linear model of the tank. Matlab~R based MPCtoolbox is used to set up the MPC calculations for the gun/turret system. Simulations are performed to investigate and compare the performance of the controller under various deck constraint limits. It is shown that MPC is effective in addressing both the stabilization and deck clearance objectives.

关键词： Maximum Allowable Concentration control strategy Tanks belted distributed model predictive control nonlinear model predictive control Constraint Model predictive control Predictive control linear models Addressing assemblies Operating conditions vehicle controllers

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Model-based verification of batch process control software

Model-based verification of batch process control software

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IEEE International Conference on Systems, Man and Cybernetics

作者： S. Kowalewski R. Gesthuisen V. Rossmann Process Control Group Chemical Engineering Department University of Dortmund Dortmund Germany Technische Universitat Dortmund Dortmund Nordrhein-Westfalen DE Dept. of Chem. Eng. Dortmund Univ. Germany

The paper describes an approach to verify control software for batch processes. We look at logic controller programs specified as sequential function charts (SFCs). The basis of the verification is a Boolean condition/event (BC/E) model of the uncontrolled behavior of the batch plant. The control program to verify is translated into a BC/E system representation and then connected to the plant model. The verification process consists of a comparison of the set of reachable states of the resulting system and a set of forbidden states. The approach is applied to an existing lab plant.< >

关键词： process control Logic Software safety chemical engineering Humans Software testing Software performance Performance evaluation Application software Uncertainty

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A comparison of photocatalytic oxidation reactor performance for spacecraft cabin trace contaminant control applications

A comparison of photocatalytic oxidation reactor performance...

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41st International Conference on Environmental Systems 2011, ICES 2011

作者： Perry, Jay L. Frederick, Kenneth R. Scott, Joseph P. Reinemann, Dana N. National Aeronautics and Space Administration Huntsville AL 35812 United States University of Mississippi MS 38677 United States Environmental Control Systems NASA Marshall Space Flight Center Huntsville AL 35812 United States NASA Marshall Space Flight Center Huntsville AL 35812 United States ICRC/Jacobs/ESTS NASA Marshall Space Flight Center Huntsville AL 35812 United States University of Mississippi School of Engineering Dept. of Chemical Engineering/College of Liberal Arts Dept. of Chemistry and Biochemistry MS 38677 United States

ISBN: (纸本)9781600869488

Photocatalytic oxidation (PCO) is a maturing process technology that shows potential for spacecraft life support system application. Incorporating PCO into a spacecraft cabin atmosphere revitalization system requires an understanding of basic performance, particularly with regard to partial oxidation product production. Four PCO reactor design concepts have been evaluated for their effectiveness for mineralizing key trace volatile organic compounds (VOC) typically observed in crewed spacecraft cabin atmospheres. Mineralization efficiency and selectivity for partial oxidation products are compared for the reactor design concepts. The role of PCO in a spacecraft's life support system architecture is discussed.

关键词： Spacecraft

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Non-intrusive Polynomial Chaos Expansion Based Uncertainty Analysis of Bioethanol Production process

Non-intrusive Polynomial Chaos Expansion Based Uncertainty A...

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International Conference on Computing, Mathematics and engineering Technologies (iCoMET)

作者： Iftikhar Ahmad Uzair Ibrahim Zumrud Imdad Gulsayyar Ali Dept. of Chemical and Material Engineering National University of Sciences and Technology Islamabad Pakistan National University of Sciences and Technology Islamabad PK Research Center for Modeling and Simulation National University of Sciences and Technology Islamabad Pakistan

Ethanol production has been a topic of great interest since the world found the significance of renewable biofuels. process efficiency and sustainability are main points of focus for ethanol production. Uncertainty in input parameters and its effect on the process outcome, i.e., ethanol production, has been a challenge in realizing efficient operations for the process. This study aims quantification of the effect of uncertainty in process inputs on the production of ethanol. The study is based on an Aspen PLUS® flowsheet of ethanol production from corn stover. MATLAB®-Excel®-Aspen® interfacing is used to estimate ethanol production for different values of input variables. The data generated through the interfacing was used to develop a data-driven model. The data-driven model based on the idea of ensemble learning was used within a Polynomial Chaos Expansion to quantify the accumulative effect of uncertainty in process input variable on process output, i.e., ethanol production.

关键词： Uncertainty Production Ethanol Input variables Mathematical model Biochemistry Temperature distribution

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Design of Fc-conjugated protein therapeutics using computational modeling of protein-protein interaction energetics

Design of Fc-conjugated protein therapeutics using computati...

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Proceedings of the 2002 IEEE engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical engineering Society (BMES / EMBS)

作者： Kamei, Daniel T. Tidor, Bruce Lauffenburger, Douglas A. Biotechnology Process Eng. Center Massachusetts Institute of Technol. Cambridge MA 02139 United States Biological Engineering Division Massachusetts Institute of Technol. Cambridge MA 02139 United States Dept. of Elec. Eng. and Comp. Sci. Massachusetts Institute of Technol. Cambridge MA 02139 United States Department of Chemical Engineering Massachusetts Institute of Technol. Cambridge MA 02139 United States

The long-term goal of this research is to combine computational structural biology with quantitative cell biology to rationally develop therapeutic proteins with increased half-lives. Therapeutic proteins with increased half-lives should decrease the frequency of injections and allow the administration of low and potentially non-toxic concentrations of protein. Our approach for addressing this challenge is to conjugate a therapeutic protein to a protein fragment with a long half-life. The Fc fragment of immunoglobulin G (IgG) has a long half-life due to its propensity for being recycled in the vascular endothelium. Specifically, when IgG enters the endosomes of these epithelial cells, the neonatal Fc receptor, FcRn, binds to the Fc fragment of IgG. This binding of FcRn to Fc has been experimentally found to enhance the recycling of IgG back to the cell surface, which decreases the amount of IgG that is degraded in the lysosomes. Since there is potential for engineering Fc fragments with even longer half-lives, we want to develop guidelines for identifying appropriate mutations. The interaction between Fc and FcRn must therefore be fundamentally understood, and theoretical models for studying this interaction will be validated in this presentation by comparing theoretical predictions with available experimental data.

关键词： Proteins

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Cutting planes and decomposition techniques for solving large-scale milp model for petroleum supply operations

Cutting planes and decomposition techniques for solving larg...

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2008 AIChE Annual Meeting, AIChE 100

作者： Rocha, Roger Grossmann, Ignacio E. De Aragão, Marcus V. S. Poggi Logistic Division Research and Development Center PETROBRAS Av. Horácio de Macedo 950 Ilha do Fundão Rio de Janeiro Brazil Dept of Chemical Engineering Center for Advanced Process Decision-making Carnegie Mellon University 5000 Forbes Avenue Pittsburgh PA 15213 United States Dept. of Informatics Pontific Catholic University - PUC-Rio R. Marques de São Vicente 225 Rio de Janeiro Brazil

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