Relevant bibliographies by topics / Energetic optimization

Academic literature on the topic 'Energetic optimization'

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Published: 10 March 2023

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Journal articles on the topic "Energetic optimization"

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Dorogi, J., T. Debreceni, and G. Gy. Balázs. "Investigation of eAircraft energetic optimization." Renewable Energy and Power Quality Journal 1, no. 15 (April 2017): 189–92. http://dx.doi.org/10.24084/repqj15.268.

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Urbaniak, Kardas-Cinal, and Jacyna. "Optimization of Energetic Train Cooperation." Symmetry 11, no. 9 (September 16, 2019): 1175. http://dx.doi.org/10.3390/sym11091175.

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In the article, possible ways of using energy recovered during regenerative braking of trains are presented. It is pointed out that the return of recovered electricity directly to the catenary and its use in the energy cooperation of vehicles can be a no-cost method (without additional infrastructure). The method of energy cooperation between trains and its main assumptions, that uses the law of conservation of energy, are described in detail. An original model is proposed which assumes optimization by controlling the train arrival time at the station within the technical time reserve. Optimization method was used metaheuristic and adapted swarm algorithm called the firefly algorithm. An exemplary simulation of the energy cooperation of trains for selected stops of a double-track railway line of the Tricity Rapid Urban Railway has been done and the obtained results are presented. Finally, in discussion and conclusions, the results were summarized and the significance of the development of the discussed method for transport rationalization was presented.
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Swartz, Wesley E. "Optimization of energetic electron energy degradation calculations." Journal of Geophysical Research 90, A7 (1985): 6587. http://dx.doi.org/10.1029/ja090ia07p06587.

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Glanz, S. "Energetic optimization of distillations in hybrid processes." Computers & Chemical Engineering 19, no. 1 (June 11, 1995): S51—S56. http://dx.doi.org/10.1016/0098-1354(95)00151-q.

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Glanz, S., and J. Stichlmair. "Energetic optimization of distillations in hybrid processes." Computers & Chemical Engineering 19 (June 1995): 51–56. http://dx.doi.org/10.1016/0098-1354(95)87014-8.

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Wong, Jeremy D., Jessica C. Selinger, and J. Maxwell Donelan. "Is natural variability in gait sufficient to initiate spontaneous energy optimization in human walking?" Journal of Neurophysiology 121, no. 5 (May 1, 2019): 1848–55. http://dx.doi.org/10.1152/jn.00417.2018.

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In new walking contexts, the nervous system can adapt preferred gaits to minimize energetic cost. During treadmill walking, this optimization is not usually spontaneous but instead requires experience with the new energetic cost landscape. Experimenters can provide subjects with the needed experience by prescribing new gaits or instructing them to explore new gaits. Yet in familiar walking contexts, people naturally prefer energetically optimal gaits: the nervous system can optimize cost without an experimenter’s guidance. Here we test the hypothesis that the natural gait variability of overground walking provides the nervous system with sufficient experience with new cost landscapes to initiate spontaneous minimization of energetic cost. We had subjects walk over paths of varying terrain while wearing knee exoskeletons that penalized walking as a function of step frequency. The exoskeletons created cost landscapes with minima that were, on average, 8% lower than the energetic cost at the initially preferred gaits and achieved at walking speeds and step frequencies that were 4% lower than the initially preferred values. We found that our overground walking trials amplified gait variability by 3.7-fold compared with treadmill walking, resulting in subjects gaining greater experience with new cost landscapes, including frequent experience with gaits at the new energetic minima. However, after 20 min and 2.0 km of walking in the new cost landscapes, we observed no consistent optimization of gait, suggesting that natural gait variability during overground walking is not always sufficient to initiate energetic optimization over the time periods and distances tested in this study. NEW & NOTEWORTHY While the nervous system can continuously optimize gait to minimize energetic cost, what initiates this optimization process during every day walking is unknown. Here we tested the hypothesis that the nervous system leverages the natural variability in gait experienced during overground walking to converge on new energetically optimal gaits created using exoskeletons. Contrary to our hypothesis, we found that participants did not adapt toward optimal gaits: natural variability is not always sufficient to initiate spontaneous energy optimization.
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Mitsopoulos, Georgios, Evangelos Bellos, and Christos Tzivanidis. "Financial and Energetic Optimization of Greek Buildings Insulation." Designs 2, no. 3 (September 17, 2018): 34. http://dx.doi.org/10.3390/designs2030034.

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The most important parameter in the design of the building envelope is the insulation thickness, because it dramatically influences the heating and cooling loads. The objective of this study is the investigation of different insulation scenarios for the four climate zones of Greece and, more specifically, the cities Heraklion, Athens, Thessaloniki, and Florina. The insulation thickness is examined up to 8 cm and the optimum thickness is determined by the minimization of the simple payback period in order to design a cost-effective system. Moreover, the primary energy consumption, the heating/cooling loads, and the equivalent CO2 emissions are calculated. Furthermore, a multi-objective evaluation procedure of the various insulated scenarios is conducted in order to show the relationship between the energetic and the financial optimization. Generally, it is found that the optimum insulation thickness is around 4 cm for all the climate zones using financial criteria, while the energy criteria indicate higher thicknesses. These results can be applied to the suitable design of Greek residential buildings.
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Airimitoaie, Tudor-Bogdan, Dumitru Popescu, Câtâlin Dimon, and Grigore Stâmâtescu. "Robust control and optimization for thermo-energetic installations." IFAC Proceedings Volumes 42, no. 2 (2009): 29–34. http://dx.doi.org/10.3182/20090506-3-sf-4003.00006.

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Lodes, Antonín, and Otto Mierka. "New approach to energetic optimization of pneumatic transport." Chemical Engineering and Processing: Process Intensification 28, no. 2 (October 1990): 95–100. http://dx.doi.org/10.1016/0255-2701(90)80005-p.

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Komínek, Petr. "Heat Supply Optimization." Advanced Materials Research 1041 (October 2014): 139–45. http://dx.doi.org/10.4028/www.scientific.net/amr.1041.139.

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Due to the energetic evaluation of buildings, the solutions for optimal heat supply are a problem of current interest. The topicality of this problem is underlined by the European Union requirements for reducing the energetic demands of buildings by the year 2020.From the operational point of view, most of the heating systems seem to be optimal; however, with the use of the results of this detailed analysis it is possible to make even further improvement. The objective is not to supply more heat energy than necessary in order to achieve energy saving. This reduction of heat supply can be achieved by the use of the heat accumulation potential of the building by means of appropriately chosen heating mode. By operation modes are meant a mode with constant heating and a mode with interrupted heating.In this sample case of non-stationary simulation during the interrupted heating regime it is possible to demonstrate the potential saving achieved by the chosen interrupted heating mode. The case study is conducted on a secondary school building. In this project, supported by the specific investigation project on the Faculty of Civil Engineering, I carried out an experiment of an interrupted mode, which was also supported by a theoretical part, in which a non-stationary calculation was used.This contribution suggests the possibility to save energy by optimization of the heat supply. It also presents the difference between a stationary and non-stationary solution to this problem.
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Dissertations / Theses on the topic "Energetic optimization"

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Kiran, Bangalore Ravi. "Energetic-lattice based optimization." Thesis, Paris Est, 2014. http://www.theses.fr/2014PEST1091/document.

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La segmentation hiérarchique est une méthode pour produire des partitions qui représentent une même image de manière de moins en moins fine. En même temps, elle sert d'entrée à la recherche d'une partition optimale, qui combine des extraits des diverses partitions en divers endroits. Le traitement hiérarchique des images est un domaine émergent en vision par ordinateur, et en particulier dans la communauté qui étudie les images hyperspectrales et les SIG, du fait de son capacité à structurer des données hyper-dimensionnelles. Le chapitre 1 porte sur les deux concepts fondamentaux de tresse et de treillis énergétique. La tresse est une notion plus riche que celle de hiérarchie de partitions, en ce qu'elle incorpore, en plus, des partitions qui ne sont pas emboîtées les unes dans les autres, tout en s'appuyant globalement sur une hiérarchie. Le treillis énergétique est une structure mixte qui regroupe une tresse avec une énergie, et permet d'y définir des éléments maximaux et minimaux. Lorsqu'on se donne une énergie, trouver la partition formée de classes de la tresse (ou de la hiérarchie) qui minimise cette énergie est un problème insoluble, de par sa complexité combinatoriale. Nous donnons les deux conditions de h-croissance et de croissance d'échelle, qui garantissent l'existence, l'unicité et la monotonie des solutions, et conduisent à un algorithme qui les détermine en deux passes de lecture des données. Le chapitre 2 reste dans le cadre précédent, mais étudie plus spécifiquement l'optimisation sous contrainte. Il débouche sur trois généralisations du modèle Lagrangien. Le chapitre 3 applique l'optimisation par treillis énergétique au cas de figure où l'énergie est introduite par une « vérité terrain », c'est à dire par un jeu de dessins manuel, que les partitions optimales doivent serrer au plus près. Enfin, le chapitre 4 passe des treillis énergétiques à ceux des courbes de Jordan dans le plan euclidien, qui définissent un modèle continu de segmentations hiérarchiques. Il permet entre autres de composer les hiérarchies avec diverses fonctions numériques
Hierarchical segmentation has been a model which both identifies with the construct of extracting a tree structured model of the image, while also interpreting it as an optimization problem of the optimal scale selection. Hierarchical processing is an emerging field of problems in computer vision and hyper-spectral image processing community, on account of its ability to structure high-dimensional data. Chapter 1 discusses two important concepts of Braids and Energetic lattices. Braids of partitions is a richer hierarchical partition model that provides multiple locally non-nested partitioning, while being globally a hierarchical partitioning of the space. The problem of optimization on hierarchies and further braids are non-tractable due the combinatorial nature of the problem. We provide conditions, of h-increasingness, scale-increasingness on the energy defined on partitions, to extract unique and monotonically ordered minimal partitions. Furthermore these conditions are found to be coherent with the Braid structure to perform constrained optimization on hierarchies, and more generally Braids. Chapter 2 demonstrates the Energetic lattice, and how it generalizes the Lagrangian formulation of the constrained optimization problem on hierarchies. Finally in Chapter 3 we apply the method of optimization using energetic lattices to the problem of extraction of segmentations from a hierarchy, that are proximal to a ground truth set. Chapter 4 we show how one moves from the energetic lattice on hierarchies and braids, to a numerical lattice of Jordan Curves which define a continous model of hierarchical segmentation. This model enables also to compose different functions and hierarchies
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Carreras, Ubach Joan. "Mathematical programming for energetic, economic and environmental optimization of building design." Doctoral thesis, Universitat Rovira i Virgili, 2016. http://hdl.handle.net/10803/396315.

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L’objectiu d’aquesta tesis és desenvolupar eines sistemàtiques de suport per la presa de decisions basades en mètodes matemàtics pel disseny òptim d’edificis amb mínim cost i mínim impacte ambiental. Avui en dia la societat és cada vegada més conscient de la importància que té respectar el medi ambient. Com a resultat, les autoritats i moltes empreses i consumidors estan interessats en productes econòmicament eficients però també respectuosos amb el medi ambient. En aquest context l’eficiència energètica hi juga un paper molt important. L’aïllament d’edificis és particularment interessant, ja que fa disminuir el consum d’energia i, conseqüentment, permet reduir també l’impacte ambiental. El problema general que pretenem solucionar en aquesta tesis és el disseny d’edificis ambientalment respectuosos amb el mínim cost econòmic, centrant-nos en l’optimització de l’aïllament tèrmic exterior. Per tal de demostrar les possibilitats de les nostres eines, considerem un cas d’estudi: Una casa tipus cubicle localitzada a la regió de Lleida. No obstant les nostres metodologies són suficientment generals per treballar amb diferents models d’edifici, variables de decisió i funcions objectiu. Els nostres mètodes s’han desenvolupat amb la intenció d’ajudar als agents involucrats en el disseny d’edificis.
El objetivo de esta tesis es desarrollar herramientas sistemáticas de soporte para la toma de decisiones basadas en métodos matemáticos para el diseño óptimo de edificios con mínimo coste y mínimo impacto ambiental. Hoy en día la sociedad es cada vez más consciente de la importancia que tiene respetar el medio ambiente. Como resultado, las autoridades y muchas empresas y consumidores están interesados en productos económicamente eficientes pero también respetuosos con el medio ambiente. En este contexto la eficiencia energética juega un papel muy importante. El aislamiento de edificios es particularmente interesante, ya que hace disminuir el consumo de energía y, consecuentemente, permite reducir también el impacto ambiental. El problema general que pretendemos solucionar en esta tesis es el diseño de edificios ambientalmente respetuosos con el mínimo coste económico, centrándonos en la optimización del aislamiento térmico exterior. Para demostrar las posibilidades de nuestras herramientas, consideramos un caso de estudio: Una casa tipo cubículo localizada en la región de Lleida. No obstatnte nuestras metodologías son suficientemente generales para trabajar con diferentes modelos de edificio, variables de decisión y funciones objetivo. Nuestros métodos se han desarrollado con la intención de ayudar a los agentes involucrados en el diseño de edificios.
The goal of this thesis is to provide systematic mathematical decision-support tools for the design of optimal buildings with minimum cost and minimum environmental impact. Nowadays the society is becoming more aware of the importance of being environmentally conscious. As a result, the authorities and many companies and consumers seek for products that are cost efficient but also environmentally friendly. Here energy efficiency plays an important role. Building insulation is particularly appealing, since it decreases the energy demand, thereby leading to significant environmental savings. The general problem we aim to solve in this thesis is the design of environmentally friendly buildings with the lowest possible cost focusing on the optimization of the external thermal insulation. To illustrate the capabilities of our approaches, we consider a case study: A house-like cubicle located in the Lleida region. However our methodology is general enough to work with different building models, decision variables and objective functions. Our methods are intended to assist decision-makers in the design of buildings.
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Clark, Barrett C. "Energetic efficiency and stability in bipedal locomotion: 3D walking and energy-optimal perturbation rejection." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1534579029132854.

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Nittinger, Eva [Verfasser], and Matthias [Akademischer Betreuer] Rarey. "Water Molecules Within the HYDE Scoring Function : Placement, Optimization, and Energetic Contributions / Eva Nittinger ; Betreuer: Matthias Rarey." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2018. http://d-nb.info/116522772X/34.

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Nittinger, Eva Verfasser], and Matthias [Akademischer Betreuer] [Rarey. "Water Molecules Within the HYDE Scoring Function : Placement, Optimization, and Energetic Contributions / Eva Nittinger ; Betreuer: Matthias Rarey." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2018. http://nbn-resolving.de/urn:nbn:de:gbv:18-92723.

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Bahini, Yacoub. "La transition énergétique et son impact sur la croissance économique." Thesis, Paris 1, 2014. http://www.theses.fr/2014PA010018.

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Ce travail essaie d'aborder la problématique de la transition énergétique sous un angle assez particulier afin de soulever la complexité de cette transition et le fait qu'on est encore relativement loin de traiter cette question d'une manière convenable et convaincante. Après avoir discuté cette problématique dans les deux premiers chapitres, en se basant sur la littérature déjà existante, deux autres modèles ont été proposés afin de contribuer modestement à cette littérature. Ces deux modèles sont de deux familles différentes, notamment TETM et EnvETM2, qui ont, chacun, des particularités propres , et donnent, en général, des résultats assez divergents.On déduit des résultats du premier modèle que le développement des énergies renouvelables ne doit pas dépasser un certain niveau, et que les politiques basées sur les prix de l'énergie (taxes, subventions, ...) seront plus efficaces pour accélérer la transition énergétique. La transition énergétique ne pourra passer avec le même rythme dans tous les secteurs, ce qui fait que les choix politiques doivent être très précis pour viser les bons secteurs et territoires, afin de mener une transition optimale.Le deuxième modèle a pour objectif la généralisation du modèle CMM afin d'explorer de nouvelles politiques pour lutter contre les problèmes environnementaux, causés par l'utilisation massive des ressources énergétiques fossiles, sources des gaz à effet de serre. On peut résumer les résultats de ce modèle en déduisant que l'énergie renouvelable doit être produite tout le temps, même avec un prix de l'énergie inférieur à son coût marginal. Ce qui implique que les énergies renouvelables doivent être subventionnées, tant qu'elles restent non-compétitives. L' utilisation des énergies renouvelables n'est pas forcement une solution suffisante pour lutter contre l'émission de gaz à effet de serre ; dans certains cas on doit diminuer, en même temps, l'utilisation de cette énergie propre
This work tries to approach the problem of the energy transition under a rather particular angle to raise the complexity of this transition and the fact whom we are still relatively far from handling this question in a suitable and convincing way. By discuss this problem in the first two chapters, basing on the already existing literature ; two other models were proposed to contribute modestly to this literature. These two models belong to two different families, in particular TETM and EnvETM2 who have, each, peculiarities appropriate to him, and give, generaly, rather divergent results.We deduce from results of the first model that the development of the renewable energies does not have to exceed certain level, and that the policies based on energy prices (taxes, subsidy, ...) will be more effective to accelerate the energy transition. The energy transition will not can pass with the same rhythm in all sectors, what makes that political choices must be very precise to choose the rignts sectors ans territories, to lead an optimal transition.The second model, has for objective the generalization of the model of CMM1 to explore new policies to fight against the environmental problems, caused by the massive use of the fossil energy resources, sources of GHG (greenhouse gas emissions). We can summarize the results of this model by deducing that the renewable energy must be produced over time, even with an energy price lower than its marginal cost. This implies that the renewable energies have to subsidized, as long as they remain non-competitive. The use of the renewable energies is not sufficient solution to fight against GHG emissions, in certain case we have to abate as we use ReE
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Gengembre, Édouard. "Contribution à la construction de méta-modèles pour l’optimisation sous contraintes de critères énergétiques : application à la conception des bâtiments." Phd thesis, Toulouse, INPT, 2011. http://oatao.univ-toulouse.fr/11723/1/gengembre.pdf.

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La recherche de la performance énergétique dans les bâtiments est devenue un objectif sociétal et réglementaire. De nos jours, un bâtiment doit assurer des conditions de confort, tout en limitant son impact énergétique et environnemental. Les demandes de performances sont telles qu’il n’est plus possible d’appliquer des solutions standards à l’ensemble du bâtiment. Un critère énergétique doit donc être pris en compte au plus tôt dans la conception, ce qui exige dès l’esquisse un travail de plus en plus lourd et complexe. Pour faciliter la prise en compte du critère énergétique, nous avons choisi une approche d’optimisation valorisant la mise en œuvre de la simulation énergétique du bâtiment (quelque soit la méthode de simulation choisie) afin de fournir un outil d’aide à la décision au concepteur à partir du métré et de l’esquisse. La thèse consiste au développement d’une méthodologie commençant par le développement d’un algorithme d’optimisation valorisant la construction séquentielle d’un Kriging sur des paramètres globaux du bâtiment qui permet de rendre le temps de calcul nécessaire compatible avec le contexte de conception d’un bâtiment. Le méta-modèle de Kriging construit peut ensuite être valorisé pour restituer les solutions optimales, permettre l’exploration de l’espace de solutions respectant les contraintes, et mettre en valeur la sensibilité énergétique du bâtiment face aux différents paramètres d’entrée. Le concepteur peut alors faire des choix constructifs optimisés, tout en conservant un certain espace de liberté, ou encore réaliser des modifications à postériori. La dernière étape consiste à inverser la relation liant les paramètres globaux choisis à l’ensemble des données élémentaires de l’ouvrage. L’ensemble de la démarche est appliqué au cas d’une cellule monozone de référence.
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Montenon, Alaric. "Analyse, mutualisation et optimisation par la commande de la consommation énergétique des héliostats autonomes des centrales à concentration solaire." Phd thesis, Toulouse, INPT, 2013. http://oatao.univ-toulouse.fr/9709/1/montenon_partie_1_sur_2.pdf.

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Les centrales à concentration utilisent la radiation solaire directe pour produire de la chaleur et, comme dans la plupart des cas, de l’électricité par transformation de cette chaleur. Les centrales dites « à tour » sont associées à un vaste champ héliostatique dont l’alimentation se fait généralement par de longs câbles à l’intérieur de tranchées qui peuvent mesurer plusieurs kilomètres. Pour pallier cette solution, la thèse s’inscrit donc dans l’évaluation de la mise en place d’héliostats autonomes énergétiquement via un générateur solaire et un stockage électrochimique (batteries). Le dimensionnement de ce système est optimisé par la commande des deux moteurs des héliostats (azimut et élévation) en vue de minimiser leur consommation globale. L’impact environnemental global est également comparé par rapport à la solution des tranchées grâce à une analyse de cycle de vie. Cette recherche est effectuée au sein du laboratoire LAPLACE de Toulouse en collaboration avec le laboratoire PROMES d’Odeillo.
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tamburino, l. "The application of individual-based models to the analysis of the structure, dynamics and resource optimization in forest ecosystems." Doctoral thesis, Università degli studi di Padova, 2014. http://hdl.handle.net/11577/3423661.

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This work presents three models that have been developed using individual-based techniques, with the aim of investigating on different aspects of forest ecosystems. The first one studies the relationships between the tree size and the resource use, with focus on the energetic equivalence rule (EER). The EER predicts that in ecological communities at a steady state abundance is counterbalanced by change in metabolic rate, so that energy use is invariant per size class. In forest communities, it is commonly thought that EER holds per unit of ground area. However, no explicit insights have been provided in order to assess the amount of ground area effectively used by any size class, which is crucial for understanding how tree size affects the total productivity of a given site. To address this issue, a simple model has been developed, parametrized on the basis of field data, where patches identical for ground area and resources were filled with different tree size distributions and trees were subject to two constraints: space and belowground resources. The model highlighted that the limiting resource for trees can change depending on size, implying that productivity per unit of ground area varies with it. In addition with experimental data, the model could provide reasons for a forest being stratified or sparse (as at the treeline), thus simply explaining the existence of different forest structures across the globe. Starting from it, a dynamic model has been developed, parametrized on the basis of empirical data, which combines individual-based techniques with a metabolic approach to simulate a forest evolving over time. Being dynamic, the tree distributions are not imposed in the patches, but emerge from the growing and the interactions among trees, resulting hence more similar to the tree distributions observed in real forests. The analysis of the simulation outcomes showed that the model is able for many aspects to reproduce the observed behaviour of real forests, like the self-thinning process, the curve of the aboveground biomass, the mosaic structure and the tree height distribution. A quantitative comparison with two real forest stands showed also a very good fitting with the number of the trees and the percentage of the covered ground area. This makes it especially suitable to highlight the relationship between structure and resource use within forest ecosystems. Moreover, it could be used as an exploration tool, to predict the forest response to different levels of disturbance and/or kinds of management. Finally, the third model has been developed to shed light on the mast seeding phenomenon, in forest ecosystems. Mast seeding is the synchronous production of large amounts of seeds at long intervals in plant populations. It is observed in several genera and its explanation remains controversial. To test one of the most popular hypotheses, predator satiation, I developed a virtual experiment based on an individual-based model reproducing the interaction between trees and seed predators in a simulated forest. This allowed a direct comparison between masting and no-masting cases, as would have been impossible in reality. The large differences observed between the two scenarios strongly supported the hypothesis. At the same time, a second mechanism similar to the classic paradox of enrichment seemed to play a crucial role, working in synergy with predator satiation to keep in check seed predator populations. More generally, I showed that the resource distribution over time can deeply affect population dynamics, even when the overall amount of the resource is kept constant.
Questo lavoro presenta tre modelli che sono stati sviluppati usando tecniche individual-based, con lo scopo di investigare su differenti aspetti di ecosistemi forestali. Il principio di equivalenza energetica (EER) predice che nelle comunità ecologiche in uno stato di equilibrio, l’abbondanza è controbilanciata da cambiamenti del tasso metabolico, cosicché l’uso dell’energia risulta invariante per classi dimensionali. Nelle comunità forestali, generalmente si ritiene che l’EER vale per unità di superficie. Tuttavia, non sono stati fornite indicazioni esplicite per valutare la quantità di superficie effettivamente occupata da una classe dimensionale, cosa cruciale per capire come la dimensione degli alberi influenza la produttività di un dato sito. Per dirimere la questione, è stato sviluppato un semplice modello, parametrizzato sulla base di dati empirici, in cui patch identiche fra loro per superficie e risorse sono state riempite con alberi di diversa dimensione e gli alberi erano soggetti a due vincoli: spazio e risorse ipogee. Il modello ha messo in luce che la risorsa limitante per gli alberi può variare in dipendenza della dimensione, da cui segue che anche la produttività per unità di superficie varia con essa. Combinato con dati sperimentali, il modello può fornire motivazioni sul perché una foresta si presenta stratificata o sparsa (come al limite superiore del bosco), spiegando quindi l’esistenza di diverse strutture forestali. A partire da esso, è stato sviluppato un modello dinamico, parametrizzato sulla base di dati empirici, che combina tecniche individual-based con un approccio metabolico per simulare una foresta che evolve nel tempo. Essendo dinamico, le distribuzioni degli alberi non sono imposte nelle patch, ma sono il risultato della crescita e delle interazioni fra gli alberi, cosa che le rende più simili alle distribuzioni reali osservate in foresta. L’analisi dei risultati delle simulazioni hanno mostrato che il modello per molti aspetti riesce a riprodurre il comportamento osservato delle foreste reali, come il processo dell’autodiradamento, la curva della massa epigea, la struttura a mosaico e la distrubuzione delle altezze degli alberi. Un confronto quantitativo con due plot forestali ha mostrato anche un buon fitting del numero di alberi e della percentuale di superficie coperta. Questo lo rende particolarmente adatto a mettere in luce le relazioni fra struttura e uso delle risorse nell’ambito di ecosistemi forestali. Si presta inoltre ad essere usato come strumento per predire la risposta di una foresta a diversi livelli di disturbo e/o tipi di gestione. Infine, il terzo modello è stato sviluppato per gettare luce sul fenomeno del mast seeding (pasciona) negli ecosistemi forestali. Il mast seeding è la produzione sincronizzata di una grande quantità di semi a lunghi intervalli di tempo in popolazioni di piante. Si osserva in svariati generi e la sua spiegazione rimane controversa. Per testare una delle più popolari ipotesi, la "predator satiation", ho sviluppato un esperimento virtuale basato su un modello individual-based che riproduce le interazioni fra alberi e consumatori di semi in una foresta. Questo ha permesso un confronto diretto—che sarebbe stato impossibile nella realtà—fra una foresta con masting e una senza. L’ampia differenza osservata fra i due scenari supporta fortemente l’ipotesi. Allo stesso tempo, un secondo meccanismo simile al classico "paradox of enrichment" sembra svolgere un ruolo cruciale, agendo in sinergia con il "predator satiation" per tenere sotto controllo la popolazione dei consumatori. Più in generale, ho mostrato che la distribuzione delle risorse nel tempo può fortemente influenzare le dinamiche di popolazione, anche quando la quantità complessiva della risorsa si mantiene costante.
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Kébé, Abdoulaye. "Contribution au pré dimensionnement et au contrôle des unités de production d’énergie électrique en site isolé à partir des énergies renouvelables : Application au cas du Sénégal." Thesis, Paris 11, 2013. http://www.theses.fr/2013PA112281/document.

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La crise énergétique marquée par une flambée des prix du pétrole et les impératifs d’un développement durable font des énergies renouvelables une alternative qui suscitent aujourd'hui l’intérêt de plusieurs équipes de recherches. Le Sénégal, pays subsaharien, non producteur de pétrole n’est pas épargné par cette crise. Celle-ci se traduit par, une faible couverture du pays (en particulier les zones rurales) par le réseau électrique national. Pour faire face à cela, la nouvelle orientation en matière de politique énergétique met l’accent sur l’utilisation des énergies renouvelables notamment, le solaire et l’éolienne. L'objectif principal de cette thèse est de dégager une méthodologie de conception d’un site isolé de production d’énergie électrique à partir des énergies alternatives. Il s'agit à partir des caractéristiques d’un site (ressources d’énergie disponibles, besoins énergétiques) de :- mettre en place une démarche qui permette le choix d’une architecture du réseau et de dimensionner de façon optimale l’ensemble des constituants du réseau (machines, sources et dispositifs de stockage) en tenant compte de toutes les contraintes- concevoir un dispositif de commande des composantes et de gestion des flux d’énergie Cette thèse comprend trois chapitres :- Chapitre 1 : pose la problématique de l’énergie au Sénégal. L’organisation institutionnelle du sous-secteur de l’électricité, les réalisations et les projets en cours sont présentés. Aussi, une étude sur les architectures de micro-réseaux est faite. - Chapitre 2 : traite des outils et logiciels. Une étude comparative des principaux logiciels d’analyse, de conception et simulation des micro-réseaux est réalisée. L’ensemble des composants de notre système ont été modélisées. Les méthodes d’optimisation et des outils de représentation graphique (Bond Graph, GIC et REM) des systèmes ont été présentés. Une enquête menée et une recherche bibliographique nous ont permis d’évaluer le potentiel énergétique du site et les besoins des populations.- Chapitre 3 : il s’agit de l’application de notre outil sur un site isolé identifié au Sénégal (MBoro/Mer). L’optimisation à travers la fonction objectif coût annualisée du système (ACS) nous a permis de dimensionner de façon optimale notre système. Aussi la commande du système avec la Représentation Energétique Macroscopique (REM) a été conçue.Pour la suite du travail, il faudrait envisager une prise en charge des problèmes de disponibilité du système à travers une surveillance et une supervision du dispositif. Le volet socio-économique aussi est à intégrer dans le futur afin de satisfaire l’évolution des besoins et des habitudes des populations
The energy crisis characterized by the oil products price rising and the imperatives of sustainable development do that renewable energies are an alternative today witch attract the interest of several research teams. Senegal, sub-Saharan country, not oil producer is not spared by this crisis. The consequence of this is a low coverage of the country (especially rural areas) by the national grid. For solving this, the new orientation of the energy policy focuses on the use of renewable energy particularly solar and wind.The main objective of this thesis is to identify a methodology of design of an isolated site of electrical energy production from alternative energies It is consists on, from site characteristics (energy resources, energy requirements):- to develop an approach that allows the choice of network architecture and sizing optimally all components of the network (machines, sources and storage devices) taking into account all the constraints- to design a device for controlling components and managing the energy flowsThis thesis contains three chapters:- Chapter 1 - poses the problem of energy in Senegal. The institutional organization of the electricity sub-sector and the ongoing projects are presented. Also, a study of micro- architectures networks is made.- Chapter 2 deals with tools and software. A comparative study of the main software of analysis, design and simulation of micro- network is realized. The components of our system have been modeled. Optimization methods and tools for graphical representation (Bond Graph, GIC and EMR) systems were presented. A survey and a literature review allowed us to evaluate the energy potential of the site and the needs of populations.- Chapter 3: This is the application of our tool on an isolated site identified in Senegal (MBoro / Mer). Optimization through the Annualized Cost of the System (ACS) objective function has allowed us to scale our system optimally. As the control system with Energetic Macroscopic Representation (EMR) has been designed.For further work should be considered a treatment of problems of availability of the system through monitoring and supervision of the system. The socio- economic component is also integrated in the future to meet the changing needs and habits of the population
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Book chapters on the topic "Energetic optimization"

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Benbekhti, Fatiha, S. Tahiraoui, H. Khouani, and A. Baroudi. "Optimization and Characterization of Nanowires Semiconductor Based-Solar Cells." In Artificial Intelligence in Renewable Energetic Systems, 409–17. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73192-6_43.

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Saib, Samia, Ahmed Gherbi, and Ramazan Bayindir. "Optimization Study of Hybrid Renewable Energy System in Autonomous Site." In Artificial Intelligence in Renewable Energetic Systems, 431–38. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73192-6_45.

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Abokersh, Mohamed Hany, Abdelghani A. Elimam, and Mohamed El-Morsi. "Energetic Optimization of the Flat Plate Solar Collector." In The Role of Exergy in Energy and the Environment, 559–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89845-2_39.

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Chabni, Fayçal, Rachid Taleb, and Mustapha Hatti. "Application of Simulated Annealing Optimization Algorithm in Selective Harmonic Elimination Problem." In Artificial Intelligence in Renewable Energetic Systems, 375–82. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73192-6_39.

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Aissat, A., A. Bahi Azzououm, F. Benyettou, and A. Laidouci. "Optimization of Copper Indium Gallium Diselenide Thin Film Solar Cell (CIGS)." In Artificial Intelligence in Renewable Energetic Systems, 479–85. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73192-6_50.

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Sciubba, E. "Allocation of Finite Energetic Resources Via an Exergetic Costing Method." In Thermodynamic Optimization of Complex Energy Systems, 151–62. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4685-2_10.

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Binante, Vincenzo. "Crack Extension Energy Rate and Energetic Approaches in Elastic–Plastic Fracture Mechanics." In Springer Optimization and Its Applications, 51–66. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2435-2_3.

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Riccietti, Elisa, Stefania Bellavia, and Stefano Sello. "Numerical Methods for Optimization Problems Arising in Energetic Districts." In Progress in Industrial Mathematics at ECMI 2016, 35–42. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63082-3_4.

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Mostefaoui, Zineb, and Sofiane Amara. "Optimization of Irrigation with Photovoltaic System in the Agricultural Farms - Greenhouse: Case Study in Sahara (Adrar)." In Artificial Intelligence in Renewable Energetic Systems, 401–8. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73192-6_42.

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Feng, Xiang, and Hanyu Xu. "A Novel Energetic Ant Optimization Algorithm for Routing Network Analysis." In Intelligent Computing Theories and Application, 705–16. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95933-7_79.

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Conference papers on the topic "Energetic optimization"

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Airimitoaie, T. B., D. Popescu, and C. Dimon. "Advanced control and optimization for thermo-energetic installations." In 2009 5th International Symposium on Applied Computational Intelligence and Informatics (SACI). IEEE, 2009. http://dx.doi.org/10.1109/saci.2009.5136217.

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Faes, Willem, Jarissa Maselyne, Michel De Paepe, and Steven Lecompte. "Modelling the energetic performance of a pig stable." In 34th International Conference on Efficiency, Cost, Optimization, Simulation and Environment Impact of Energy Systems. Tokyo, Japan: ECOS 2021 Program Organizers, 2022. http://dx.doi.org/10.52202/062738-0081.

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Oliveira, Henrique Jose Mendes de, Jennys Lourdes Meneses Barillas, Wilson da Mata, and Tarcilio Viana Dutra. "Energetic Optimization to Heavy Oil Recovery by Electromagnetic Resistive Heating (ERH)." In Latin American and Caribbean Petroleum Engineering Conference. Society of Petroleum Engineers, 2009. http://dx.doi.org/10.2118/122073-ms.

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Pedersen, Martin E. V., Ji Cheng, Kriti Charan, Ke Wang, Chris Xu, Lars Grüner-Nielsen, and Dan Jakobsen. "Optimization of a Higher-Order-Mode Fiber for Energetic Soliton Propagation." In CLEO: Science and Innovations. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/cleo_si.2012.cth4g.2.

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Littlefield, David L., Kenneth C. Walls, and David E. Lambert. "Development of Reactive Flow Models for Energetic Materials." In ASME 2009 Pressure Vessels and Piping Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/pvp2009-78098.

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In order to make the process of material model development more systematic for energetic materials, we have developed a procedure that makes use of nonlinear optimization to derive optimal values of parameters in the material models. A framework has been developed that makes use of the optimization software package DAKOTA driving the hydrocode CTH (both CTH and DAKOTA are developed and maintained at Sandia National Laboratories). CTH was used to model a set of characterization experiments that were used as the basis for the calibration of a particular model; for example, the cylinder test was used to calibrate the JWL equation of state, and the wedge test for the HVRB reactive burn model. As a verification test of the framework, we have determined material model constants for TNT and compared them to values published in the literature.
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Machado, Diogo L. P., Ricardo C. Carrano, and Debora C. Muchaluat Saade. "Analysis of energy efficient OLSR extensions and OLSR-EXT energetic optimization proposal." In the 10th ACM symposium. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2507248.2507261.

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Almasri, B., and F. B. Ouezdou. "Human-Like Motion Based on a Geometrical Inverse Kinematics and Energetic Optimization." In 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2008. http://dx.doi.org/10.1109/iros.2008.4650641.

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Kelouwani, Sousso, Kodjo Agbossou, Yves Dubé, and Loïc Boulon. "Energetic Optimization of the Driving Speed Based on Geographic Information System Data." In 2012 IEEE Vehicular Technology Conference (VTC Fall). IEEE, 2012. http://dx.doi.org/10.1109/vtcfall.2012.6399159.

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Burduhos, Bogdan, Dorin Diaconescu, Sorin Moraru, Milian Badea, and Costin Grigorescu. "Dual-axis tracked vs. fixed PV: Energetic response of one-year testing period in Romania." In 2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM). IEEE, 2012. http://dx.doi.org/10.1109/optim.2012.6231971.

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Vasile, Alexandru, Andrei Drumea, Cristi Neacsu, Marinela Angel, and Dan Alexandru Stoichescu. "Automatic system and energetic efficiency optimization algorithm for solar panels on mobile systems." In 2009 32nd International Spring Seminar on Electronics Technology (ISSE). IEEE, 2009. http://dx.doi.org/10.1109/isse.2009.5206994.

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