3 edition of Modeling and optimization of a regenerative fuel cell system using the ASPEN process simulator found in the catalog.
Modeling and optimization of a regenerative fuel cell system using the ASPEN process simulator
Thomas M. Maloney
1990 by National Aeronautics and Space Administration, For sale by the National Technical Information Service in [Washington, D.C.], [Springfield, Va .
Written in English
|Statement||Thomas M. Maloney and Harold F. Leibecki ; prepared for the 25th Intersociety Energy Conservation Engineering Conference cosponsored by the AIChE, ANS, SAE, ACS, AIAA, and IEEE, Reno, Nevada, August 12-17, 1990.|
|Series||NASA technical memorandum -- 103210.|
|Contributions||Liebecki, Harold F., United States. National Aeronautics and Space Administration., Lewis Research Center.|
|The Physical Object|
|Pagination||5,  p.|
OPTIMIZATION OF BIODIESEL PRODUCTION USING ASPEN PLUS A Thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Technology in Chemical Engineering by . The work mainly focused on online parameter optimization and control of an Ethylene Oxide reactor using the inhibitor. A validated dynamic model of the reactor was developed for the purpose of performance optimization using gPROMS, MATLAB and ASPEN DMCPlus by data reconciliation from the DCS network of the reactor and use of PFD and P&: Chief Researcher at Hitachi India.
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Such systems. A rudimentary regenerative fuel cell system design has been examined using the ASPEN simulator and this modular approach allows for easy addition of supplementary ancillary components and easy integration with life support systems.
The modules included in the preliminary analyses may serve as the fundamental structure for moreFile Size: KB.
The ASPEN simulation software furnishes a constructive medium for analyzing and for optimizing such systems. A rudimentary regenerative fuel cell system design was examined using the ASPEN simulator and this modular approach allows for easy addition of supplementary ancillary components and easy integration with life support : T.M.
Maloney, H.F. Leibecki. The ASPEN simulation software furnishes a constructive medium for analyzing and optimizing such systems. A rudimentary regenerative fuel cell system design was examined using the ASPEN simulator and this modular approach allows for easy addition of supplementary ancillary components and easy integration with life support : T.M.
Maloney, H.F. Leibecki. Get this from a library. Modeling and optimization of a regenerative fuel cell system using the ASPEN process simulator. [Thomas M Maloney; Harold F Liebecki; United States. National Aeronautics and Space Administration.; Lewis Research Center.].
Chemical engineering, and particularly process engineering, is not an exception; thus stochastic methods are a good option to solve optimization problems for the complex process engineering models. In this book, the combined use of the modular simulator Aspen ® Plus and stochastic optimization methods, codified in MATLAB, is presented.
In the present study, the modelling and simulation of a semi regenerative reforming process has been done on the ASPEN Plus platform and the best operating conditions of reactor temperature as °F and the hydrogen to hydrocarbon feed ratio as have been.
The block diagram of a fuel cell based system is shown in Fig A fuel cell power supply system consists of a stack of fuel cells, a DC-DC converter, an inverter and the load. A DC-DC converter is used to interface the fuel cell output with the inverter.
This paper presents the simulation results of the system shown in FigureFile Size: KB. In process modeling, it is not always possible or appropriate to perform the design and the optimization using a single software.
As an example, in the case of the Aspen Plus simulator, there is the option to create templates from a friendly graphical user interface. In programming terms, a major timesaving can be obtained using vector-File Size: KB.
inlet geometry of fuel cell stack manifold. In this paper, 5-pass serpentine channel fuel cell stack consisting of 20 cells and 50 cells has been considered for modelling of three geometries for the inlet manifold namely rectangular, short diffuser and long diffuser.
The proposed model is governed by mass and momentum conservation by: 2. Enable lifecycle modeling from design through operations for faster troubleshooting, online performance monitoring and real-time optimization.
Trusted Process Simulation Rely on a process simulator built on over 35 years of experience and feedback from top chemical companies. In the whole biorefinery the biogas and the bioethanol processes are coupled where the wastes of. bioethanol process are used for the biogas process.
The Simulation of the Biogas productions is focused in the anaerobic digestion process. This Special Issue on “Modeling and Simulation of Energy Systems” will curate novel advances in research which either use modeling and simulation as an important component of the analysis of energy systems, or, present the development of new and better models of energy systems or energy system.
The fuel cell is connected to a battery (DC bus) via a DC/DC converter which can control the fuel cell power/current with a switching strategy. A Nero–Fuzzy controller has been devised in order for taking the power demand as one of its controlling signals and making decision with respect to the power management by: 2.
MemCal supports simulating membrane-based gas separation processes in Aspen HYSYS. • Membrane process configuration is selected following a techno-commercial evaluation. • Area distribution control among the various membrane stages is an optimization mean.
• Two stages plus recycle is the optimal scheme for purifying natural gas off its CO by: 7. A Polymer Electrolyte Membrane (PEM) fuel cell uses the chemical energy of hydrogen to cleanly and efficiently produce electricity.
If hydrogen is the fuel, electricity, water, and heat are the only products. Also, fuel cells are quiet during operation as they have fewer moving parts. For the better performance of the fuel cell stack, uniform distribution of reactants, minimum pressure drop Cited by: 2.
Update refinery planning models with streamlined workflows using process simulation solutions calibrated to plant operations; solve large-scale models quickly through equation-oriented solver technology; optimize integrated CDU and preheat trains operations leveraging real-time plant data and leverage additional equipment malfunction simulations with Aspen Operating Training.
namic model using a lumped parameter, control volume ap-proach. An extensive fuel cell system was considered: air com-pressor, supply manifold, air cooler, reactant humidiﬁers, cath-ode channel volume, return manifold, anode channel volume, membrane humidiﬁcation, and the fuel cell polarization curve.
I am trying to simulate H2 pressure swing adsorption using Aspen Adsorption software but I have found some many troubles when I try to set up some parameters of the model. fuel cell system. Modeling and Optimization of a Fuel Cell Hybrid System.
Master thesis of: Lorenzo Bertini. Supervisor: Göran Lindbergh. KTH Royal Institute of Technology, Division of Applied Electrochemistry. Abstract. The purpose of this project was the modeling, optimization and prediction of a hybrid system composed of a fuel cell, a dcdc converter.
2 Module 2 Process Models in Chemical Engineering. Process Simulation Control using Aspen, Amiya K Jana, Prentice Hall of India. Advantages of using a process flowsheet simulator. process simulation and control using aspen pdf download Available either as standard Windows help file or as PDF documents.
process simulation and control using aspen pdfFile Size: 52KB. Simulation and report of PEM fuel cell process for specific power output, using hydrogen generation process from gasoline.
Report entails of detailed simulation process and economic analysis. The operation and performance of a SOFC (solid oxide fuel cell) stack on biomass syn-gas from a biomass gasification CHP (combined heat and power) plant is investigated.
The objective of this work is to develop a model of a biomass-SOFC system capable of predicting performance under diverse operating by: The Fuel Cell Simulation Toolbox (OpenFCST) is an open-source mathematical modelling package for polymer electrolyte fuel cells.
OpenFCST builds on top of the open-source finite element librariestherefore many of its requirements in terms of operating systems and such are the same as for OpenFCST is distributed under the MIT License. T1 - Simulation of IGFC power generation system by Aspen Plus.
AU - Rudra, Souman. AU - Rosendahl, Lasse. AU - Sayem, Abu Sadahat. AU - Ashekuzzaman, S.M. PY - Y1 - N2 - The solid oxide fuel cell (SOFC) is a promising technology for electricity : Souman Rudra, Lasse Rosendahl, Abu Sadahat Sayem, S.M.
Ashekuzzaman. UNESCO – EOLSS SAMPLE CHAPTERS EXERGY, ENERGY SYSTEM ANALYSIS AND OPTIMIZATION – Vol. II - Modeling, Simulation and Optimization in Energy Systems - C.A.
Frangopoulos, E. Sciubba ©Encyclopedia of Life Support Systems (EOLSS) Modeling is the act of interpreting a set of physical phenomena and of devising a reasonably complete, closed and. Demonstrates the use of reactor models through an example problem on the production of ethyl acetate in Aspen Plus.
Made by faculty at Lafayette. In the model, the fuel cell system is integrated with the building heat and electrical demand, and hydrogen is assumed to be produced for onsite use (e.g., in forklifts) or sale (see diagram below).Cited by: 2. process using both fresh and waste vegetable oil and a supercritical methanol process using waste vegetable oil as the raw material with the aid of Aspen HYSYS.
Ravindra et al.  employed Aspen HYSYS to develop model for enzyme catalyzed and conventional alkali-catalyzed biodiesel production processes in order to investigate theFile Size: KB. PEM Fuel Cell Modeling and Simulation Using Matlab, provides design engineers and researchers with a valuable tool for understanding and overcoming barriers to designing and building the next generation of PEM Fuel Cells.
With this book, engineers can test components and verify designs in the development phase, saving both time and money. Fuel Cell Modelling in ASPEN Fuel Cell Modelling in ASPEN chememan (Chemical) (OP) (Chemical) 29 Apr 03 I do quite a lot of Aspen modeling, but am unfamilar with fuel cells.
You can most likely model one using the custom user blocks/models. If you need some help, let me know. Red Flag This Post This process is known as. European Fuel Cell Forum 28 June -1 JulyLucerne Switzerland A14 / Page Figure 2– Fuel cell subsystem models implemented in MatLab/Simulink.
The implementation of the fuel cell as a source of voltage controlled by current is represented in Figure 3. Figure 3 - Fuel cell model as a voltage source controlled in Size: KB. Modeling, Simulation and Optimization of Fuel Cell/Battery Hybrid Powertrains By Piyush Bubna Approved: _____ Ajay K.
Prasad, Ph.D. Professor in charge of the thesis on behalf of the advisory committee Figure Variation of fuel cell system efficiency with net fuel cell power. German Aerospace Center, Stuttgart, Germany Fuel Cell System Modeling for Real-time Simulation pp.
Paper presented at the 4th International Modelica Conference, March, Hamburg University of Technology, Hamburg-Harburg, Germany, organized by The Modelica Association and the Department of Thermodynamics, Hamburg University of.
Fig. 3: Flowsheet of fuel cell simulation with ASPEN Plus CONCLUSION A new method of characterizing a fuel cell stack was presented, which enables an energetic simulation. Especially the fuel utilization, the thermal and electric efficiency are measured in the operating optima. The improved LFM simulator was validated against test data acquired from various sensors onboard UD’s Phase 1 fuel cell bus, and shown to be a reliable tool to simulate hybrid powertrain performance which could be used to perform design and optimization studies of future fuel cell hybrid systems.
named Advanced Simulator for frocess or ASPEN. This project was cost shared by many impotant chemical companies and resulted in a publicly available simulator. The cost of the project, about $6 million, was primarily paid by DOE and was completed in The ASPEN process simulator met many of the chemical industry's needs.
It could model solids. Abstract Chap. 6 is about the electrochemical and dynamic modelling of fuel cells. The highlights of the chapter are the control-oriented modelling of fuel cells and the application of H 2 norm and H ∞ norm, minimizing optimal controllers to the control and tracking of the power output of fuel : Ranjan Vepa.
Facilitates the process of learning and later mastering Aspen Plus with step by step examples and succinct explanations Step-by-step textbook for identifying solutions to various process engineering problems via screenshots of the Aspen Plus platforms in parallel with the related text Includes end-of-chapter problems and term project problems Includes online exam and quiz problems for.
PEM Fuel Cell Modeling and Simulation Using Matlab, provides design engineers and researchers with a valuable tool for understanding and overcoming barriers to designing and building the next generation of PEM Fuel Cells.
With this book, engineers can test components and verify designs in the development phase, saving both time and money. Reduce system development costs using Model-Based Design.
Electric Drives Library. (PEM) Fuel Cell Stack model feeding an average value Vdc DC/DC converter. Open Model. Ni-MH Battery Model. A V, Ah Ni-MH battery model during charge and discharge process. Two-Quadrant Single-Phase Rectifier 5 HP DC Drive with Regenerative Bridge Firing Unit (AC): Implement six pulse firing unit with notch filters for three-phase thyristor, bridge.
CHEMICAL PROCESS CALCULATIONS - Ebook written by D. C. SIKDAR. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read CHEMICAL PROCESS CALCULATIONS/5(10).Conference: Using Process/CFD Co-Simulation for the Design and Analysis of Advanced Energy Systems.
Using Process/CFD Co-Simulation for the Design and Analysis of .APECS (Advanced Process Engineering Co-Simulator) is an integrated software suite that combines the power of process simulation with high-fidelity, computational fluid dynamics (CFD) for improved design, analysis, and optimization of process engineering systems.
The APECS system uses commercial process simulation (e.g., Aspen Plus) and CFD (e.g.