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Ross E, Wagterveld R, Stigter J, Mayer M, Keesman K. Sensor data fusion in electrochemical applications: An overview and its application to electrochlorination monitoring. Comput Chem Eng 2023. [DOI: 10.1016/j.compchemeng.2022.108128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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2
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Glucose-Oxygen Biofuel Cell with Biotic and Abiotic Catalysts: Experimental Research and Mathematical Modeling. ENERGIES 2020. [DOI: 10.3390/en13215630] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The demand for alternative sources of clean, sustainable, and renewable energy has been a focus of research around the world for the past few decades. Microbial/enzymatic biofuel cells are one of the popular technologies for generating electricity from organic substrates. Currently, one of the promising fuel options is based on glucose due to its multiple advantages: high energy intensity, environmental friendliness, low cost, etc. The effectiveness of biofuel cells is largely determined by the activity of biocatalytic systems applied to accelerate electrode reactions. For this work with aerobic granular sludge as a basis, a nitrogen-fixing community of microorganisms has been selected. The microorganisms were immobilized on a carbon material (graphite foam, carbon nanotubes). The bioanode was developed from a selected biological material. A membraneless biofuel cell glucose/oxygen, with abiotic metal catalysts and biocatalysts based on a microorganism community and enzymes, has been developed. Using methods of laboratory electrochemical studies and mathematical modeling, the physicochemical phenomena and processes occurring in the cell has been studied. The mathematical model includes equations for the kinetics of electrochemical reactions and the growth of microbiological population, the material balance of the components, and charge balance. The results of calculations of the distribution of component concentrations over the thickness of the active layer and over time are presented. The data obtained from the model calculations correspond to the experimental ones. Optimization for fuel concentration has been carried out.
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Multi-Timescale-Based Partial Optimal Control of a Proton-Exchange Membrane Fuel Cell. ENERGIES 2019. [DOI: 10.3390/en13010166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This paper presents a Proton-Exchange Membrane Fuel Cell (PEMFC) transient model in stack current cycling conditions and its partial optimal control. The derived model is used for a specific application of the recently published multistage control technique developed by the authors. The presented control-oriented transient PEMFC model is an extension of the steady-state control-oriented model previously established by the authors. The new model is experimentally validated for transient operating conditions on the Greenlight Innovation G60 testing station where the comparison of the experimental and simulation results is presented. The derived five-state nonlinear control-oriented model is linearized, and three clusters of eigenvalues can be clearly identified. This specific feature of the linearized model is known as the three timescale system. A novel multistage optimal control technique is particularly suitable for this class of systems. It is shown that this control technique enables the designer to construct a local LQR, pole-placement or any other linear controller type at the subsystem level completely independently, which further optimizes the performance of the whole non-decoupled system.
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Charitou N, Kolitsi LI, Stoukides M, Yiantsios SG. An Integrated Model of Electrochemical Cells with Co-ionic Solid Electrolyte Membranes: Coupling of Membrane Charge-Carrier Transport and Multiple Reactions at the Triple-Phase Boundaries. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b03427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Nefeli Charitou
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Univ. Box 453, GR 541 24 Thessaloniki, Greece
| | - Lydia I. Kolitsi
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Univ. Box 453, GR 541 24 Thessaloniki, Greece
| | - Michael Stoukides
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Univ. Box 453, GR 541 24 Thessaloniki, Greece
| | - Stergios G. Yiantsios
- Department of Chemical Engineering, Aristotle University of Thessaloniki, Univ. Box 453, GR 541 24 Thessaloniki, Greece
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Smolin YY, Lau KKS, Soroush M. First‐principles modeling for optimal design, operation, and integration of energy conversion and storage systems. AIChE J 2018. [DOI: 10.1002/aic.16482] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Yuriy Y. Smolin
- Dept. of Chemical and Biological Engineering Drexel University Philadelphia Pennsylvania 19104
| | - Kenneth K. S. Lau
- Dept. of Chemical and Biological Engineering Drexel University Philadelphia Pennsylvania 19104
| | - Masoud Soroush
- Dept. of Chemical and Biological Engineering Drexel University Philadelphia Pennsylvania 19104
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Soroush M, Chmielewski DJ. Process systems opportunities in power generation, storage and distribution. Comput Chem Eng 2013. [DOI: 10.1016/j.compchemeng.2012.06.027] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Ziogou C, Pistikopoulos EN, Georgiadis MC, Voutetakis S, Papadopoulou S. Empowering the Performance of Advanced NMPC by Multiparametric Programming—An Application to a PEM Fuel Cell System. Ind Eng Chem Res 2013. [DOI: 10.1021/ie303477h] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Chrysovalantou Ziogou
- Chemical Process and Energy Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), PO
Box 60361, 57001 Thessaloniki, Greece
- Department of Engineering Informatics and Telecommunications, University of Western Macedonia, Vermiou and Lygeris
str., 50100 Kozani, Greece
| | - Efstratios N. Pistikopoulos
- Department of Chemical Engineering, Centre for Process Systems Engineering, Imperial College London, SW7 2AZ London, United Kingdom
| | - Michael C. Georgiadis
- Chemical Process and Energy Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), PO
Box 60361, 57001 Thessaloniki, Greece
- Department of Engineering Informatics and Telecommunications, University of Western Macedonia, Vermiou and Lygeris
str., 50100 Kozani, Greece
| | - Spyros Voutetakis
- Chemical Process and Energy Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), PO
Box 60361, 57001 Thessaloniki, Greece
| | - Simira Papadopoulou
- Chemical Process and Energy Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), PO
Box 60361, 57001 Thessaloniki, Greece
- Department of Automation, Alexander Technological Educational Institute of Thessaloniki, PO Box 141, 54700 Thessaloniki, Greece
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Hajimolana S, Hussain MA, Soroush M, Wan Daud WA, Chakrabarti MH. Multilinear-Model Predictive Control of a Tubular Solid Oxide Fuel Cell System. Ind Eng Chem Res 2012. [DOI: 10.1021/ie301107r] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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9
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Kamat A, Klein O, Herrmann M, Krewer U, Scholl S. Adsorptionshysterese von Phosphorsäure in Polybenzimidazol-Hochtemperatur-Polymerelektrolytmembran-Brennstoffzellen. CHEM-ING-TECH 2012. [DOI: 10.1002/cite.201100249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Green SK, Tompsett GA, Kim HJ, Bae Kim W, Huber GW. Electrocatalytic reduction of acetone in a proton-exchange-membrane reactor: a model reaction for the electrocatalytic reduction of biomass. CHEMSUSCHEM 2012; 5:2410-2420. [PMID: 22961747 DOI: 10.1002/cssc.201200416] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2012] [Indexed: 06/01/2023]
Abstract
Acetone was electrocatalytically reduced to isopropanol in a proton-exchange-membrane (PEM) reactor on an unsupported platinum cathode. Protons needed for the reduction were produced on the unsupported Pt-Ru anode from either hydrogen gas or electrolysis of water. The current efficiency (the ratio of current contributing to the desired chemical reaction to the overall current) and reaction rate for acetone conversion increased with increasing temperature or applied voltage for the electrocatalytic acetone/water system. The reaction rate and current efficiency went through a maximum with respect to acetone concentration. The reaction rate for acetone conversion increased with increasing temperature for the electrocatalytic acetone/hydrogen system. Increasing the applied voltage for the electrocatalytic acetone/hydrogen system decreased the current efficiency due to production of hydrogen gas. Results from this study demonstrate the commercial feasibility of using PEM reactors to electrocatalytically reduce biomass-derived oxygenates into renewable fuels and chemicals.
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Affiliation(s)
- Sara K Green
- Department of Chemical Engineering, University of Massachusetts, 686 North Pleasant Street, Amherst, MA 01003, USA
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Bavarian M, Kevrekidis IG, Benziger JB, Soroush M. Modeling and Bifurcation Analysis of a Coionic Conducting Solid Oxide Fuel Cell. Ind Eng Chem Res 2012. [DOI: 10.1021/ie3009814] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Mona Bavarian
- Department of Chemical and Biological
Engineering, Drexel University, Philadelphia,
Pennsylvania 19104
| | - Ioannis G. Kevrekidis
- Department
of Chemical and Biological
Engineering, Princeton University, Princeton,
New Jersey 08544
| | - Jay B. Benziger
- Department
of Chemical and Biological
Engineering, Princeton University, Princeton,
New Jersey 08544
| | - Masoud Soroush
- Department of Chemical and Biological
Engineering, Drexel University, Philadelphia,
Pennsylvania 19104
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Sundmacher K, Hanke-Rauschenbach R, Heidebrecht P, Rihko-Struckmann L, Vidaković-Koch T. Some reaction engineering challenges in fuel cells: dynamics integration, renewable fuels, enzymes. Curr Opin Chem Eng 2012. [DOI: 10.1016/j.coche.2012.02.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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13
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Modekurti S, Bullecks B, Bhattacharyya D, Rengaswamy R. Modeling Studies of a Cylindrical Polymer Electrolyte Membrane Fuel Cell Cathode. Ind Eng Chem Res 2012. [DOI: 10.1021/ie2028359] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Srinivasarao Modekurti
- Department of Chemical Engineering, Indian Institute of Technology Madras, Chennai 600036,
India
| | - Brian Bullecks
- Department of Chemical
Engineering, Texas Tech University, Lubbock,
Texas 79409, United
States
| | - Debangsu Bhattacharyya
- Department of Chemical
Engineering, West Virginia University,
Morgantown, West Virginia
26506, United States
| | - Raghunathan Rengaswamy
- Department of Chemical
Engineering, Texas Tech University, Lubbock,
Texas 79409, United
States
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Panos C, Kouramas K, Georgiadis M, Pistikopoulos E. Modelling and explicit model predictive control for PEM fuel cell systems. Chem Eng Sci 2012. [DOI: 10.1016/j.ces.2011.06.068] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Ziogou C, Voutetakis S, Papadopoulou S, Georgiadis MC. Modeling, simulation and experimental validation of a PEM fuel cell system. Comput Chem Eng 2011. [DOI: 10.1016/j.compchemeng.2011.03.013] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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16
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Design and control of energy integrated SOFC systems for in situ hydrogen production and power generation. Comput Chem Eng 2011. [DOI: 10.1016/j.compchemeng.2011.02.006] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Hanke-Rauschenbach R, Mangold M, Sundmacher K. Nonlinear dynamics of fuel cells: a review. REV CHEM ENG 2011. [DOI: 10.1515/revce.2011.001] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Explicit/Multi-Parametric Model Predictive Control of a Solid Oxide Fuel Cell. ACTA ACUST UNITED AC 2011. [DOI: 10.1016/b978-0-444-53711-9.50155-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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