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Author: Ömer Sinan Genç
Publisher:
ISBN:
Category : Bioreactors
Languages : en
Pages : 186
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Book Description
The aim of this study is modeling and control of bioprocesses by using neural networks and hybrid model techniques. To investigate the modeling techniques, ethanol fermentation with Saccharomyces Cerevisiae and recombinant Zymomonas mobilis and finally gluconic acid fermentation with Pseudomonas ovalis processes are chosen.Model equations of these applications are obtained from literature. Numeric solutions are done in Matlab by using ODE solver. For neural network modeling a part of the numerical data is used for training of the network.In hybrid modeling technique, model equations which are obtained from literature are first linearized then to constitute the hybrid model linearized solution results are subtracted from numerical results and obtained values are taken as nonlinear part of the process. This nonlinear part is then solved by neural networks and the results of the neural networks are summed with the linearized solution results. This summation results constitute the hybrid model of the process. Hybrid and neural network models are compared. In some of the applications hybrid model gives slightly better results than the neural network model. But in all of the applications, required training time is much more less for hybrid model techniques. Also, it is observed that hybrid model obeys the physical constraints but neural network model solutions sometimes give meaningless outputs.In control application, a method is demonstrated for optimization of a bioprocess by using hybrid model with neural network structure. To demonstrate the optimization technique, a well known fermentation process is chosen from the literature.
Author: Ömer Sinan Genç
Publisher:
ISBN:
Category : Bioreactors
Languages : en
Pages : 186
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Book Description
The aim of this study is modeling and control of bioprocesses by using neural networks and hybrid model techniques. To investigate the modeling techniques, ethanol fermentation with Saccharomyces Cerevisiae and recombinant Zymomonas mobilis and finally gluconic acid fermentation with Pseudomonas ovalis processes are chosen.Model equations of these applications are obtained from literature. Numeric solutions are done in Matlab by using ODE solver. For neural network modeling a part of the numerical data is used for training of the network.In hybrid modeling technique, model equations which are obtained from literature are first linearized then to constitute the hybrid model linearized solution results are subtracted from numerical results and obtained values are taken as nonlinear part of the process. This nonlinear part is then solved by neural networks and the results of the neural networks are summed with the linearized solution results. This summation results constitute the hybrid model of the process. Hybrid and neural network models are compared. In some of the applications hybrid model gives slightly better results than the neural network model. But in all of the applications, required training time is much more less for hybrid model techniques. Also, it is observed that hybrid model obeys the physical constraints but neural network model solutions sometimes give meaningless outputs.In control application, a method is demonstrated for optimization of a bioprocess by using hybrid model with neural network structure. To demonstrate the optimization technique, a well known fermentation process is chosen from the literature.
Author: Christoph Herwig
Publisher: MDPI
ISBN: 3038427454
Category : Science
Languages : en
Pages : 149
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Book Description
This book is a printed edition of the Special Issue "Hybrid Modelling and Multi-Parametric Control of Bioprocesses" that was published in Bioengineering
Author: Lei Zhi Chen
Publisher: Springer
ISBN: 3540324933
Category : Technology & Engineering
Languages : en
Pages : 129
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Book Description
Mostindustrialbiotechnologicalprocessesareoperatedempirically.Oneofthe major di?culties of applying advanced control theories is the highly nonlinear nature of the processes. This book examines approaches based on arti?cial intelligencemethods,inparticular,geneticalgorithmsandneuralnetworks,for monitoring, modelling and optimization of fed-batch fermentation processes. The main aim of a process control is to maximize the ?nal product with minimum development and production costs. This book is interdisciplinary in nature, combining topics from biotechn- ogy, arti?cial intelligence, system identi?cation, process monitoring, process modelling and optimal control. Both simulation and experimental validation are performed in this study to demonstrate the suitability and feasibility of proposed methodologies. An online biomass sensor is constructed using a - current neural network for predicting the biomass concentration online with only three measurements (dissolved oxygen, volume and feed rate). Results show that the proposed sensor is comparable or even superior to other sensors proposed in the literature that use more than three measurements. Biote- nological processes are modelled by cascading two recurrent neural networks. It is found that neural models are able to describe the processes with high accuracy. Optimization of the ?nal product is achieved using modi?ed genetic algorithms to determine optimal feed rate pro?les. Experimental results of the corresponding production yields demonstrate that genetic algorithms are powerful tools for optimization of highly nonlinear systems. Moreover, a c- bination of recurrentneural networks and genetic algorithms provides a useful and cost-e?ective methodology for optimizing biotechnological processes.
Author: Jarka Glassey
Publisher: CRC Press
ISBN: 1351184350
Category : Science
Languages : en
Pages : 177
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Book Description
This title introduces the underlying theory and demonstrates practical applications in different process industries using hybrid modeling. It reviews hybrid modeling approach applicability in wide range of process industries, recommends how to increase hybrid model performance and throw Insights into cost efficient practices in modeling techniques Discusses advance process operation maximizing the benefits of available process knowledge and Includes real-life and practical case studies
Author: Brian H. Davison
Publisher: Springer Science & Business Media
ISBN: 1461202175
Category : Science
Languages : en
Pages : 773
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Book Description
Lysts using enzyme, microbial, and plantbiochemistriesand genetic engi neeringand "ProcessingResearch" describedtheconversionofplantcom ponentsviaintegrationofmicrobiology, biochemistry, andchemistrywith engineering, separations, and hybrid systems. The "Enzymatic Processes and Enzyme Production" session focused on the manufacture and use of enzymes. The"IndustrialChemicals"sessionemphasizedrecentdevelop mentsintheintegratedproductionandscale-upofchemicalsfrombiologi cal rather than petrochemical routes. Special interest was on separation methods and their integrationintonew fermentation orhybrid processes. 35 oral presentations, a roundtable The technical program consisted of forum, two special topic discussions, and a poster session of 135 posters. Wecontinuedasuccessfulinformalroundtableserieswith"Bioenergy and Bioproducts: Forum on Recent Government Initiatives," which dis cussedthePresident'sExecutiveOrder, the BioenergyInitiative, the Tech nology Roadmap for Renewables Vision 2020, and other thrusts. These eventscontinuethe strongindustrial focus and activeindustrialparticipa tionintheorganizingcommittee. Thishasbecomeverypopularbecauseit allows industrialand government participants to speakmore openly. AspecialTopicsDiscussionGroupwasheldon"C0 Sequestration," 2 ledby James W. Lee. Another onwas held on "Commercializationof Bio mass-to-Ethanol" where chairs Jack N. Saddler and David J. Gregg made thegoal ofthisworkshop to showparticipantsthatweare close to demon stratingthe technicalviability ofanintegratedbiomass-to-ethanolprocess and that progressive technical advances and policy decisions will likely greatly enhance the economic attractiveness of the process.
Author: Maria Carmo Nicoletti
Publisher: Springer Science & Business Media
ISBN: 3642018874
Category : Mathematics
Languages : en
Pages : 349
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Book Description
Computational Intelligence (CI) and Bioprocess are well-established research areas which have much to offer each other. Under the perspective of the CI area, Biop- cess can be considered a vast application area with a growing number of complex and challenging tasks to be dealt with, whose solutions can contribute to boosting the development of new intelligent techniques as well as to help the refinement and s- cialization of many of the already existing techniques. Under the perspective of the Bioprocess area, CI can be considered a useful repertoire of theories, methods and techniques that can contribute and offer interesting alternative approaches for solving many of its problems, particularly those hard to solve using conventional techniques. Although throughout the past years CI and Bioprocess areas have accumulated substantial specific knowledge and progress has been quick and with a high degree of success, we believe there is still a long way to go in order to use the potentialities of the available CI techniques and knowledge at their full extent, as tools for supporting problem solving in bioprocesses. One of the reasons is the fact that both areas have progressed steadily and have been continuously accumulating and refining specific knowledge; another reason is the high level of technical expertise demanded by each of them. The acquisition of technical skills, experience and good insights in either of the two areas is very demanding and a hard task to be accomplished by any professional.
Author: Masoud Soroush
Publisher: Elsevier
ISBN: 0128203811
Category : Technology & Engineering
Languages : en
Pages : 530
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Book Description
Research efforts in the past decade have led to considerable advances in the concepts and methods of smart manufacturing. Smart Manufacturing: Applications and Case Studies includes information about the key applications of these new methods, as well as practitioners’ accounts of real-life applications and case studies. Written by thought leaders in the field from around the world, Smart Manufacturing: Applications and Case Studies is essential reading for graduate students, researchers, process engineers and managers. It is complemented by a companion book titled Smart Manufacturing: Concepts and Methods, which describes smart manufacturing methods in detail. Includes examples of applications of smart manufacturing in process industries Provides a thorough overview of the subject and practical examples of applications through well researched case studies Offers insights and accounts of first-hand experiences to motivate further implementations of the key concepts of smart manufacturing
Author: Maria Carmo Nicoletti
Publisher: Springer
ISBN: 3642018882
Category : Technology & Engineering
Languages : en
Pages : 349
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Book Description
Computational Intelligence (CI) and Bioprocess are well-established research areas which have much to offer each other. Under the perspective of the CI area, Biop- cess can be considered a vast application area with a growing number of complex and challenging tasks to be dealt with, whose solutions can contribute to boosting the development of new intelligent techniques as well as to help the refinement and s- cialization of many of the already existing techniques. Under the perspective of the Bioprocess area, CI can be considered a useful repertoire of theories, methods and techniques that can contribute and offer interesting alternative approaches for solving many of its problems, particularly those hard to solve using conventional techniques. Although throughout the past years CI and Bioprocess areas have accumulated substantial specific knowledge and progress has been quick and with a high degree of success, we believe there is still a long way to go in order to use the potentialities of the available CI techniques and knowledge at their full extent, as tools for supporting problem solving in bioprocesses. One of the reasons is the fact that both areas have progressed steadily and have been continuously accumulating and refining specific knowledge; another reason is the high level of technical expertise demanded by each of them. The acquisition of technical skills, experience and good insights in either of the two areas is very demanding and a hard task to be accomplished by any professional.
Author: Wolfgang Marquardt
Publisher: Elsevier
ISBN: 0080525806
Category : Science
Languages : en
Pages : 1127
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Book Description
This proceedings book contains the papers presented at the joint conference event of the 9th Symposium on Process Systems Engineering (PSE'2006) and the 16th European Symposium on Computer Aided Process Engineering (ESCAPE-16), held in Garmisch-Partenkirchen, Germany, from July 9 – July 13, 2006. The symposium follows the first joint event PSE’97 / ESCAPE-7 in Trondheim, Norway (1997). The last two venues of the ESCAPE symposia were Barcelona, Spain (2005) and Lisbon, Portugal (2004) and the most recent PSE symposia were held in Kunming, China (2003) and Keystone, Colorado, USA (2000). The purpose of both series is to bring together the international community of researchers engineers who are interested in computing-based methods in process engineering. The main objective of the symposium is to review and present the latest developments and current state in Process Systems Engineering and Computer Aided Process Engineering. The focus of PSE’2006 / ESCAPE-16 has been on Modelling and Numerical Methods, Product and Process Design, Operations and Control, Biological Systems, Infrastructure Systems, and Business decision support. * reviews and presents the latest developments and current state of Process Systems Engineering and Computer Aided Process Engineering * contains papers presented at a joint conference event * bringing together an international community of researchers and engineers interested in computing-based methods in Process Engineering
Author: Mark Finkelstein
Publisher: Springer Science & Business Media
ISBN: 1461201195
Category : Science
Languages : en
Pages : 1189
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Book Description
With the Twenty-Third Symposium, we sustained the tradition of providing an informal, congenial atmosphere that our participants find conducive to pursuing technical discussion of program topics. The techni cal program consisted of six sessions with 38 oral presentations, a roundtable forum, two special topic discussions and a poster session con sisting of 230 posters. A special luncheon talk on "Natural Capitalism" by Karl Rabago of the Rocky Mountain Institute was particularly enlightening. More infor mation on these provocative approaches to resources and societal needs can be found at their website, www.rmi.org. While plant biotechnology and genetically modified organisms (GMOs) for enzyme production and designer biomass emerged as exciting areas throughout the Symposium, the frank exchange in the special topic sessions indicated the importance of thinking beyond the purely technical details in this important research area. The preface for each session is included in the introductions. Session Chairpersons and Co-Chairpersons Session 1: Advances in Biomass Production and Processing Chair: Sharon Shoemaker, University of California, Davis, CA Co-Chair: David Boron, US Department of Energy, Washington DC Session 2: Enzyme and Microbial Biocatalysts Chair: Elba Bon, Chemistry Institute, UFRI, Rio de Janeiro, Brazil Co-Chair: Steve Picataggio, Dupont Central, Wilmington, DE Session 3: Bioprocess Research and Development Chair: Guido Zacchi, University of Lund, Lund, Sweden Co-Chair: Mark Holtzapple, Texas A&M University, College Station, TX Session 4: Oil and Ethanol: An Excellent Mix? Chair: Carol Tombari, Mountain Energy Consultation LLC, Conifer, CO Session 5: Emerging Biorefinery Opportunities
