Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Electrochemical Components PDF full book. Access full book title Electrochemical Components by Marie-Cécile Pera. Download full books in PDF and EPUB format.
Author: Marie-Cécile Pera Publisher: John Wiley & Sons ISBN: 1118576926 Category : Technology & Engineering Languages : en Pages : 251
Book Description
This book focuses on the methods of storage commonly used in hybrid systems. After an introductory chapter reviewing the basics of electrochemistry, Chapter 2 is given over to the storage of electricity in the form of hydrogen. Once hydrogen has been made, we have to be able to convert it back into electricity on demand. This can be done with another energy converter: a fuel cell, the subject of Chapter 3. Such a system is unable to deliver significant dynamics in terms of storage and release of electricity and needs to be supplemented with another solution: a detailed study of supercapacitors is provided in Chapter 4.While the storage systems touched upon in the previous three chapters (hydrogen batteries and supercapacitors) both exhibit advantageous characteristics, at present they are still relatively costly. Thus, the days of the electrochemical accumulator by no means appear to be numbered just yet. This will therefore be the topic of Chapter 5. Finally, on the basis of the elements laid down in the previous chapters, Chapter 6 will focus on electrical hybridization of these storage systems, with a view to enhancing the performance (in terms of energy, lifetime, cost, etc.) of the newly formed system. Aimed at an audience of researchers, industrialists, academics, teachers and students, many exercises, along with corrected solutions, are provided throughout the book. Contents 1. Basic Concepts of Electrochemistry used in Electrical Engineering. 2. Water Electrolyzers. 3. Fuel Cells. 4. Electrical Energy Storage by Supercapacitors. 5. Electrochemical Accumulators. 6. Hybrid Electrical System. About the Authors Marie-Cécile Péra is a Full Professor at the University of Franche-Comte in France and Deputy Director of the FEMTO-ST Institute (CNRS). Her research activities include modeling, control and diagnosis of electric power generation systems (fuel cells – PEMFC and SOFC, supercapacities, batteries) for transportation and stationary applications. She has contributed to more than 180 articles in international journals and conferences. Daniel Hissel is Full Professor at the University of Franche-Comte in France and Director of the Fuel Cell Lab Research Federation (CNRS). He also leads a research team devoted to hybrid electrical systems in the FEMTO-ST Institute (CNRS). He has published more than 250 research papers on modeling, control, diagnostics and prognostics of hybrid electrical systems. Hamid Gualous is Full Professor at the University of Caen Lower Normandy in France and director of the LUSAC laboratory. His current research interests include power electronics, electric energy storage, power and energy systems and energy management. Christophe Turpin is Full Researcher at the CNRS (French National Center for Scientific Research). He is responsible for hydrogen activities within the Laboratory LAPLACE, Toulouse, France. His research activities include the characterization and modeling of fuel cells and electrolyzers, the state of health of these components, and their hybridization with other electrochemical components (ultracapacitors, batteries) within optimized energy systems for stationary and aeronautical applications.
Author: Marie-Cécile Pera Publisher: John Wiley & Sons ISBN: 1118576926 Category : Technology & Engineering Languages : en Pages : 251
Book Description
This book focuses on the methods of storage commonly used in hybrid systems. After an introductory chapter reviewing the basics of electrochemistry, Chapter 2 is given over to the storage of electricity in the form of hydrogen. Once hydrogen has been made, we have to be able to convert it back into electricity on demand. This can be done with another energy converter: a fuel cell, the subject of Chapter 3. Such a system is unable to deliver significant dynamics in terms of storage and release of electricity and needs to be supplemented with another solution: a detailed study of supercapacitors is provided in Chapter 4.While the storage systems touched upon in the previous three chapters (hydrogen batteries and supercapacitors) both exhibit advantageous characteristics, at present they are still relatively costly. Thus, the days of the electrochemical accumulator by no means appear to be numbered just yet. This will therefore be the topic of Chapter 5. Finally, on the basis of the elements laid down in the previous chapters, Chapter 6 will focus on electrical hybridization of these storage systems, with a view to enhancing the performance (in terms of energy, lifetime, cost, etc.) of the newly formed system. Aimed at an audience of researchers, industrialists, academics, teachers and students, many exercises, along with corrected solutions, are provided throughout the book. Contents 1. Basic Concepts of Electrochemistry used in Electrical Engineering. 2. Water Electrolyzers. 3. Fuel Cells. 4. Electrical Energy Storage by Supercapacitors. 5. Electrochemical Accumulators. 6. Hybrid Electrical System. About the Authors Marie-Cécile Péra is a Full Professor at the University of Franche-Comte in France and Deputy Director of the FEMTO-ST Institute (CNRS). Her research activities include modeling, control and diagnosis of electric power generation systems (fuel cells – PEMFC and SOFC, supercapacities, batteries) for transportation and stationary applications. She has contributed to more than 180 articles in international journals and conferences. Daniel Hissel is Full Professor at the University of Franche-Comte in France and Director of the Fuel Cell Lab Research Federation (CNRS). He also leads a research team devoted to hybrid electrical systems in the FEMTO-ST Institute (CNRS). He has published more than 250 research papers on modeling, control, diagnostics and prognostics of hybrid electrical systems. Hamid Gualous is Full Professor at the University of Caen Lower Normandy in France and director of the LUSAC laboratory. His current research interests include power electronics, electric energy storage, power and energy systems and energy management. Christophe Turpin is Full Researcher at the CNRS (French National Center for Scientific Research). He is responsible for hydrogen activities within the Laboratory LAPLACE, Toulouse, France. His research activities include the characterization and modeling of fuel cells and electrolyzers, the state of health of these components, and their hybridization with other electrochemical components (ultracapacitors, batteries) within optimized energy systems for stationary and aeronautical applications.
Author: J. P. Florens Publisher: Facultes Universitaires Saint-Louis ISBN: Category : Mathematics Languages : en Pages : 270
Book Description
This volume contains a selection of papers presented at the Fifth Franco-Belgian Meeting of Statisticians, held in Luminy-Marseille (France) on November 23-24, 1984. The diversity of these papers reflects the broadness of the topic of the meeting : the asymptotic theory for non i.i.d. processes. First of all, asymptotic theory is focused on various types of convergence : almost sure convergence, convergence in distribution and convergence in variation. In an other direction, relaxing the hypothesis of i.i.d. processes leads to consider a large variety of situations, characterized either by hypotheses on the marginal model (i.e. after integration with respect to parameters or exogenous variables) such as stationarity, exchangeability of Markovian property or by assumptions on the model conditionally on exogenoous variables. The main tools used in such situations are martingale theory and the ergodic theorem. They may be applied in various situations such as posterior expectations in Bayesian analysis, rational expectations, generalized residuals and mixing conditions in conditional models or predictions in nonstationary q-dependent processes. All the above concepts are met both theoretically and through applications in the present volume.
Author: ROBOAM Xavier Publisher: Lavoisier ISBN: 2746281929 Category : Languages : en Pages : 434
Book Description
Le contexte actuel mène les concepteurs vers des systèmes toujours plus complexes et performants, intégrant un grand nombre d’éléments souvent fortement couplés et appartenant à divers champs de la physique énergétique. Après une présentation de l’approche systémique de conception, ce premier volume rassemble les points-clés permettant de modéliser et de caractériser efficacement des systèmes multiphysiques (formalismes graphiques, Bond Graphs, GIC/REM), d’analyser la qualité et la stabilité des réseaux et de contribuer à la robustesse en conception intégrée. La gestion de l’énergie des systèmes énergétiques hybrides incluant du stockage est également largement détaillée et différentes méthodes statistiques permettant de dimensionner les réseaux ou de caractériser leur sûreté de fonctionnement sont proposées (par exemple, la méthode de Monte-Carlo). Les techniques d’analyse, de synthèse et de gestion présentées dans cet ouvrage participent à l’optimisation des systèmes énergétiques. Elles sont complétées par des approches spécifiquement orientées vers la conception par optimisation, objets du second volume.
Author: Amaury Lendasse Publisher: Presses univ. de Louvain ISBN: 9782930344348 Category : Science Languages : fr Pages : 158
Book Description
L'analyse et la prédiction de séries temporelles sont des défis scientifiques importants, qui trouvent leurs applications dans des domaines aussi variés que la finance, la production électrique, l’hydrologie, la climatologie, etc. Comme ils englobent les modèles linéaires, les modèles non linéaires offrent potentiellement des performances supérieures mais ils posent cependant également des problèmes complexes tels que des minima locaux pour la fonction à optimiser, des temps de calcul très longs, une sélection de structure de modèle rendue plus difficile et une détermination de régresseur plus ardue. On définit tout d’abord la meilleure structure de modèle comme celle qui minimise une erreur de généralisation. Les différentes méthodes permettant d’estimer cette erreur sont présentées : Cross-Validation, Leave-One-Out, Bootstrap, etc. Une comparaison expérimentale de ces méthodes sur une série benchmark classique montre la supériorité des méthodes de Bootstrap. Une accélération de ces méthodes ainsi qu’une solution au problème des minima locaux sont apportées. Les différentes méthodes de détermination du meilleur régresseur, c’est-à-dire le vecteur d’entrées utilisé pour la prédiction, sont étudiées. Afin de donner une borne inférieure et une borne supérieure à la taille de ce régresseur, plusieurs interprétations du théorème de Takens sont formulées. Une méthodologie pratique permettant la construction d’un régresseur par projection non linéaire est proposée et illustrée sur des exemples de prédiction de séries financières. Des modèles non linéaires simples basés sur la quantification vectorielle sont développés. Ils proposent une alternative dont les performances et la complexité se situent entre celles des modèles linéaires et des modèles non linéaires classiques : les performances sont meilleures que celles obtenues avec des modèles linéaires mais les temps de calcul demandés sont moins importants que pour les autres modèles non linéaires. Finalement, une méthode d’analyse de données basée sur les cartes auto-organisées et l’algorithme de Ward est présentée. Cette méthode d’analyse débouche sur une méthode de prédiction à long terme dont les résultats sont évalués sur la prédiction, sur une durée de 24h, de la consommation électrique
Author: Marie-Cécile Pera
Author: Marie-Cécile Pera
Author: Université libre de Bruxelles. Centre d'études de recherche opérationnelle
Author: Centre d'études de recherche operationnelle
Author: J. P. Florens
Author: 
Author: ROBOAM Xavier
Author: International Statistical Institute
Author: Amaury Lendasse
Author: Canadian Information Processing Society
Author: