Relevant bibliographies by topics / Energy based modeling

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Energy based modeling'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Energy based modeling"

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Voynarenko, Mykhaylo, Mariia V. Dykha, Oksana Mykoliuk, Ludmyla Yemchuk, and Anastasiia Danilkova. "Assessment of an enterprise’s energy security based on multi-criteria tasks modeling." Problems and Perspectives in Management 16, no. 4 (2018): 102–16. http://dx.doi.org/10.21511/ppm.16(4).2018.10.

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Today Ukrainian business entities operate in conditions of macroeconomic instability, environmental disturbance, energy dependence on risk of instable and interrupted supply and high cost of energy resources, excessive energy consumption and inefficient use of fuel and energy resources, which requires immediate actions as for finding solutions to ensure energy security. The goal of the article is to solve multi-criteria tasks focused on making managerial decisions regarding the development of enterprise energy security system based on evaluation of influence of numerous factors. As a result of this study, main components of energy security of the enterprise and most important influence factors are determined. The mathematical model of the hierarchy of factors in terms of their influence on the energy security of the enterprise with the use of graph theory is developed. Use of iterative procedure to determine the levels of hierarchy of factors allowed to assess the importance/priority of their influence on energy security of the enterprise. Thus, the developed model of hierarchy of factors based on the applied scientific and methodical approach to determine their influence on energy security of the enterprise provides the opportunity to get a detailed idea of factors interaction, interconnections and influence on energy security of the enterprise, which ultimately leads to elaboration of complex optimal/agreed managerial decisions in context of development and implementation of energy security system of the enterprise.
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Xie, Ming, and Walter H. Gerstle. "Energy-Based Cohesive Crack Propagation Modeling." Journal of Engineering Mechanics 121, no. 12 (1995): 1349–58. http://dx.doi.org/10.1061/(asce)0733-9399(1995)121:12(1349).

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Wang, Yu, Charlie C. L. Wang, and Matthew M. F. Yuen. "Fast energy-based surface wrinkle modeling." Computers & Graphics 30, no. 1 (2006): 111–25. http://dx.doi.org/10.1016/j.cag.2005.10.010.

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Gonzalez de Durana, José María, Oscar Barambones, Enrique Kremers, and Liz Varga. "Agent based modeling of energy networks." Energy Conversion and Management 82 (June 2014): 308–19. http://dx.doi.org/10.1016/j.enconman.2014.03.018.

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Umar, Mariam, Shirley V. Moore, Jeremy S. Meredith, Jeffrey S. Vetter, and Kirk W. Cameron. "Aspen-based performance and energy modeling frameworks." Journal of Parallel and Distributed Computing 120 (October 2018): 222–36. http://dx.doi.org/10.1016/j.jpdc.2017.11.005.

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Biberacher, Markus. "GIS‐based modeling approach for energy systems." International Journal of Energy Sector Management 2, no. 3 (2008): 368–84. http://dx.doi.org/10.1108/17506220810892937.

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Jeong, WoonSeong, Jong Bum Kim, Mark J. Clayton, Jeff S. Haberl, and Wei Yan. "Translating Building Information Modeling to Building Energy Modeling Using Model View Definition." Scientific World Journal 2014 (2014): 1–21. http://dx.doi.org/10.1155/2014/638276.

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This paper presents a new approach to translate between Building Information Modeling (BIM) and Building Energy Modeling (BEM) that uses Modelica, an object-oriented declarative, equation-based simulation environment. The approach (BIM2BEM) has been developed using a data modeling method to enable seamless model translations of building geometry, materials, and topology. Using data modeling, we created a Model View Definition (MVD) consisting of a process model and a class diagram. The process model demonstrates object-mapping between BIM and Modelica-based BEM (ModelicaBEM) and facilitates the definition of required information during model translations. The class diagram represents the information and object relationships to produce a class package intermediate between the BIM and BEM. The implementation of the intermediate class package enables system interface (Revit2Modelica) development for automatic BIM data translation intoModelicaBEM. In order to demonstrate and validate our approach, simulation result comparisons have been conducted via three test cases using (1) the BIM-based Modelica models generated fromRevit2Modelicaand (2) BEM models manually created using LBNL Modelica Buildings library. Our implementation shows thatBIM2BEM(1) enables BIM models to be translated intoModelicaBEMmodels, (2) enables system interface development based on the MVD for thermal simulation, and (3) facilitates the reuse of original BIM data into building energy simulation without an import/export process.
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Elsherbiny, E., M. T. Elhagry, M. S. M. Soliman, and Essam Abu Elzahab. "Design and Modeling of a Novel Micro-Power Generator based on Harvesting Omni-Directional Vibration Energy." International Journal of Engineering Research 4, no. 8 (2015): 437–41. http://dx.doi.org/10.17950/ijer/v4s8/807.

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Heendeniya, Charitha Buddhika. "Agent-based modeling of a rule-based community energy sharing concept." E3S Web of Conferences 239 (2021): 00001. http://dx.doi.org/10.1051/e3sconf/202123900001.

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In an energy community, the prosumers’ interactions are critical to ensure efficient use of renewable resources. Local energy sharing concepts where a coordinating agent typically regulates the energy transactions between prosumers intend to achieve such a sharing economy. The coordinating agent, known as the market agent or energy sharing agent, acts according to a set of rules to match the prosumers’ renewable energy surpluses and deficits. This paper describes an agent-based modeling strategy and a case study to demonstrate the interactions in an energy sharing community where each agent individually and collectively attempts to maximize renewable energy self-consumption. The prosumers attempt to achieve their individual and collective objectives by following a two-step rule-based strategy. In the first step, a building-integrated battery storage operation strategy based on a schedule improves the prosumer-level self-consumption while providing grid-friendly behavior. The next step involves an energy sharing strategy and an operating strategy for community-scale battery storage that maximizes the collective selfconsumption. Throughout the transactions, prosumers have no visibility of other prosumers; therefore, the energy sharing coordinator has the sole responsibility of orchestrating the energy exchanges between prosumers. Finally, we discuss the significance and future research outlook for energy interaction modeling at a community scale.
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Han, Xiao, Jing Qiu, Lingling Sun, Wei Shen, Yuan Ma, and Dong Yuan. "Low‐carbon energy policy analysis based on power energy system modeling." Energy Conversion and Economics 1, no. 1 (2020): 34–44. http://dx.doi.org/10.1049/enc2.12005.

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Dissertations / Theses on the topic "Energy based modeling"

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Jansen, Luca Lena. "Energy Policy Instrument Modeling in the Agent-Based Energy Model DiDo." Thesis, KTH, Energiteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-245054.

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This work is investigating how energy policy instruments can be depicted explicitly in DiDo, the re-gional agent-based energy transition model for the Netherlands designed by the TNO. Within DiDo the transition of the energy system is considered a result of individual transformations of the different stake-holders in the system. The focus of this work lies on household agents, their investment decision making and the effects of policy instruments on this microeconomic level. Bounded rationality, heuristics and individual attitudes and perceptions are identified to play a relevant role when investing in energy assets and thus an explicit parameterization of these particularities of human behavior is proposed. The model-ing of the investment decision is following a rational approach originating from finance that features the Markowitz portfolio optimization, which is relying on the return of investments (ROI) in assets. In order to incorporate behavioral aspects and perceptions into this rational frame, the concept of subjective ROI is introduced. Arising from recent developments in behavioral economics, this concept is in line with the observations made on financial markets that challenge the long maintained assumption of normally dis-tributed ROI distributions. Finally, surveying individual willingness to pay for energy assets and testing the correlation with behavioral and policy instrument aspects using a regression analysis is proposed as the subsequent methodological step.<br>Det här arbetet undersöker hur energipolitiska instrument kan avbildas uttryckligen i DiDo, den regionala agentbaserade energitransitionsmodellen för Nederländerna, designad av TNO. Inom DiDo anses skiftet av energisystemet vara ett resultat av individuella omvandlingar av de olika intressenterna i systemet. Inriktningen för detta arbete låg på hushållsmedlemmar, deras investeringsbeslutsfattande och effekterna av politiska instrument på denna mikroekonomiska nivå. Bundet rationalitet, heuristik och individuella attityder och uppfattningar identifierades för att spela en relevant roll när man investerar i energitillgångar och därmed föreslagits en explicit parametresering av dessa särdrag av mänskligt beteende. Modelleringen av investeringsbeslutet följer en rationell strategi som härrör från finansiering som använder Markowitz-portfölje optimering, som är beroende av avkastning av investeringar (ROI) i tillgångar. För att integrera beteendeaspekter och uppfattningar i denna rationella ram introduceras koncept av subjektivt ROI. På grund av den senaste utvecklingen inom beteendeekonomin ligger detta koncept i linje med observationerna på de finansiella marknaderna som utmanar det gammalt antagna-det om normalt fördelade avkastnings fördelningar. Slutligen föreslås undersökning av individuell vilja att betala för energitillgångar och testa korrelationen med beteendemässiga och politiska instrumentaspekter med hjälp av en regressionsanalys som det efterföljande metodologiska steget.
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Luca, Lena Jansen. "Energy Policy Instrument Modeling in the Agent-Based Energy Model DiDo." Thesis, KTH, Energiteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235814.

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This work is investigating how energy policy instruments can be depicted explicitly in DiDo, the regionalagent-based energy transition model for the Netherlands designed by the TNO. Within DiDo the transition of the energy system is considered a result of individual transformations of the different stakeholders in the system. The focus of this work lies on household agents, their investment decision making and the effects of policy instruments on this microeconomic level. Bounded rationality, heuristics and individual attitudes and perceptions are identified to play a relevant role when investing in energy assets and thus an explicit parameterization of these particularities of human behavior is proposed. The modeling of the investment decision is following a rational approach originating from finance that features the Markowitz portfolio optimization, which is relying on the return of investments (ROI) in assets. In order to incorporate behavioral aspects and perceptions into this rational frame, the concept of subjective ROI is introduced. Arising from recent developments in behavioral economics, this concept is in line with the observations made on financial markets that challenge the long maintained assumption of normally distributed ROI distributions. Finally, surveying individual willingness to pay for energy assets and testing the correlation with behavioral and policy instrument aspects using a regression analysis is proposed as the subsequent methodological step.<br>Det här arbetet undersöker hur energipolitiska instrument kan avbildas uttryckligen i DiDo, den regionala agentbaserade energitransitionsmodellen för Nederländerna, designad av TNO. Inom DiDo anses skiftet av energisystemet vara ett resultat av individuella omvandlingar av de olika intressenterna i systemet. Inriktningen för detta arbete låg på hushållsmedlemmar, deras investeringsbeslutsfattande och effekterna av politiska instrument på denna mikroekonomiska nivå. Bundet rationalitet, heuristik och individuella attityder och uppfattningar identifierades för att spela en relevant roll när man investerar i energitillåangar och därmed föreslagits en explicit parametresering av dessa särdrag av mänskligt beteende. Modelleringen av investeringsbeslutet följer en rationell strategi som härrör från finansiering som använder Markowitz-portföljeoptimering, som är beroende av avkastning av investeringar (ROI) i tillgångar. För att integrera beteendeaspekter och uppfattningar i denna rationella ram introduceras koncept av subjektivt ROI. På grund av den senaste utvecklingen inom beteendeekonomin ligger detta koncept i linje med observationerna på de finansiella marknaderna som utmanar det gammalt antagandet om normalt fördelade avkastningsfördelningar. Slutligen freslås undersökning av individuell vilja att betala för energitillgångar och testa korrelationen med beteendemässiga och politiska instrumentaspekter med hjälp av en regressionsanalys som det efterföljande metodologiska steget.
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Yaoumi, Mohamed. "Energy modeling and optimization of protograph-based LDPC codes." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2020. http://www.theses.fr/2020IMTA0224.

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Il existe différents types de codes correcteur d’erreurs (CCE), chacun offrant différents compromis entre la performance et la consommation d’énergie. Nous proposons de traiter ce problème pour les codes LDPC (Low-Density Parity Check). Dans ce travail, nous avons considéré les codes LDPC construits à partir de protographes avec un décodeur Min-Sum quantifié, pour leurs bonnes performances et leur implémentation matérielle efficace. Nous avons utilisé une méthode basée sur l’évolution de densité pour évaluer les performances à longueur finie du décodeur pour un protographe donné. Ensuite, nous avons introduit deux modèles pour estimer la consommation d’énergie du décodeur Min-Sum quantifié. A partir de ces modèles, nous avons développé une méthode d’optimisation afin de sélectionner des protographes qui minimisent la consommation d’énergie du décodeur tout en satisfaisant un critère de performance donné.Dans la seconde partie de la thèse, nous avons considéré un décodeur LDPC bruité, et nous avons supposé que le circuit introduit des défauts dans les unités de mémoire utilisées par le décodeur. Nous avons ensuite mis à jour le modèle d’énergie de la mémoire afin de prendre en compte le bruit dans le décodeur. Par conséquent, nous avons proposé une méthode alternative afin d’optimiser les paramètres du modèle et minimiser la consommation d’énergie du décodeur pour un protographe donné<br>There are different types of error correction codes (CCE), each of which gives different trade-offs interms of decoding performanceand energy consumption. We propose to deal with this problem for Low-Density Parity Check (LDPC) codes. In this work, we considered LDPC codes constructed from protographs together with a quantized Min-Sum decoder, for their good performance and efficient hardware implementation. We used a method based on Density Evolution to evaluate the finite-length performance of the decoder for a given protograph.Then, we introduced two models to estimate the energy consumption of the quantized Min-Sum decoder. From these models, we developed an optimization method in order to select protographs that minimize the decoder energy consumption while satisfying a given performance criterion. The proposed optimization method was based on a genetic algorithm called differential evolution. In the second part of the thesis, we considered a faulty LDPC decoder, and we assumed that the circuit introduces some faults in the memory units used by the decoder. We then updated the memory energy model so as to take into account the noise in the decoder. Therefore, we proposed an alternate method in order to optimize the model parameters so as to minimize the decoder energy consumption for a given protograph
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Minteer, Timothy Michael. "Electromagnetic modeling based on directional time-distance energy transfer analogies." Thesis, Washington State University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3587146.

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<p> A new electromagnetic model is established based on an average rate of directional time-distance energy transfers. A directional time-distance energy transfer is defined as an energy carrier mediator (boson) exchange. Electromagnetic force is modeled as mean valued, continual emission and absorption of energy carrier mediators. </p><p> For an isolated, spherically symmetric static charge distribution, Maxwell's stress equation is recast using a variant of Stokes' Theorem. The recast stress equation eliminates the stress normal to the electric field and establishes a stress only aligned with the electric field. The remaining stress is identified as an external omnidirectional Poincar&eacute; stress, inwardly directed towards the charge distribution. The Poincar&eacute; stress is modeled as a mean valued, continual exchange of bosons between the charge distribution and the distant matter of the universe. </p><p> For two separated, spherically symmetric static charge distributions, Maxwell's stress equation is recast using a variant of Stokes' Theorem. The recast stress equation develops a line stress that only exists on the straight path between the two charge distributions. The line stress is identified as a Coulomb stress modeled as a mean valued, continual exchange of photons back and forth between two like-charge distributions. </p><p> For an isolated, differential current element, Maxwell's stress equation is recast using a variant of Stokes' Theorem. The recast stress equation establishes a pinch stress that is normal to the magnetic field and is directed inward toward the differential current element. Similar to the Poincar&eacute; stress, the pinch stress is omnidirectional and is modeled as a mean valued, continual exchange of bosons between the current element and the distant matter of the universe. </p><p> For two separated, static differential current elements, a Neumann stress is established by analyzing the historical current force formulas known to be compatible with Maxwell's equations for closed circuits. The term Neumann stress is assigned to the line stress that only exists at each point on the straight path between two separated, differential current elements. Similar to the Coulomb stress, the Neumann stress is modeled as a mean valued, continual exchange of photons back and forth between two differential current elements in opposite directions.</p>
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Yang, Bo. "Function modeling based on interactions of mass, energy and information." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ62304.pdf.

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Dhayal, Vandana Sultan Singh. "Exploring Simscape™ Modeling for Piezoelectric Sensor Based Energy Harvester." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984261/.

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This work presents an investigation of a piezoelectric sensor based energy harvesting system, which collects energy from the surrounding environment. Increasing costs and scarcity of fossil fuels is a great concern today for supplying power to electronic devices. Furthermore, generating electricity by ordinary methods is a complicated process. Disposal of chemical batteries and cables is polluting the nature every day. Due to these reasons, research on energy harvesting from renewable resources has become mandatory in order to achieve improved methods and strategies of generating and storing electricity. Many low power devices being used in everyday life can be powered by harvesting energy from natural energy resources. Power overhead and power energy efficiency is of prime concern in electronic circuits. In this work, an energy harvester is modeled and simulated in Simscape™ for the functional analysis and comparison of achieved outcomes with previous work. Results demonstrate that the harvester produces power in the 0 μW to 100 μW range, which is an adequate amount to provide supply to low power devices. Power efficiency calculations also demonstrate that the implemented harvester is capable of generating and storing power for low power pervasive applications.
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Gupta, Yashank. "Magnus Based Airborne Wind Energy Systems." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAT094/document.

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Le siècle dernier a été le siècle de la révolution technologique. Les combustibles fossiles ont alimenté cette révolution technologique. Les défis auxquels notre société est confrontée, que ce soit le changement climatique ou la situation énergétique mondiale ou l’épuisement des réserves de combustibles fossiles, sont les défis les plus graves auxquels sont confrontés toutes les générations. L'énergie renouvelable est considérée comme la clé des problèmes énergétiques de notre société. De nombreuses technologies innovantes se font concurrence pour alimenter la prochaine révolution énergétique. Sources d'énergies renouvelables telles que l'énergie solaire, l'énergie éolienne, la biomasse, l'hydroélectricité, l'énergie géothermique, etc. Presque tous sont saisonniers, et sont donc des sources d'énergie discontinues et non uniformes. Ils ont également une limitation en termes de choix des sites de production et, en général, nécessitent de grandes étendues de terre pour les plantes, ce qui conduit à une faible densité de puissance par unité de surface.Néanmoins, l'énergie éolienne et solaire a beaucoup attiré l'attention au cours des dernières décennies. Cependant, pour que le monde passe complètement des énergies fossiles et de l’énergie nucléaire à l’énergie éolienne et solaire, il est nécessaire de développer de nouveaux types de systèmes capables de générer de l’énergie à moindre coût avec moins de contraintes de sélection de sites.Dans la quête de la source d'énergie pérenne. Notre société se tourne vers la communauté scientifique pour des solutions innovantes. Cette thèse est une étape vers la recherche de solutions innovantes à nos problèmes énergétiques. Les systèmes d'énergie éolienne à haute altitude (HAWE) ou plus communément appelés systèmes éoliens aéroportés (AWES) sont considérés comme la réponse aux besoins énergétiques des générations futures. L'énergie éolienne aéroportée (AWE) est un concept innovant visant à utiliser l'énergie des courants de vent à haute altitude, car les courants de vent à haute altitude sont presque uniformes dans le monde entier et AWES peut pratiquement être installé partout dans le monde. De plus, les systèmes AWE proposés nécessitent moins de matériau de structure. Ils devraient donc être beaucoup moins chers que toute autre source d’énergie disponible. AWE est donc une perspective prometteuse dans cette quête pour trouver une solution à nos problèmes énergétiques.Dans ce travail, la faisabilité des systèmes d'énergie éolienne aéroportés basés sur Magnus est explorée. Le travail présente en détail un bref historique des systèmes d'énergie éolienne aéroportés et des concepts de base nécessaires pour développer une compréhension de la technologie AWE. Il examine en détail les systèmes aéroportés basés sur Magnus et donne une perspective historique sur les machines basées sur l’effet Magnus. Il présente en détail les propriétés aérodynamiques de l’effet Magnus et présente un modèle aérodynamique pour ces systèmes. Puisque la modélisation est un aspect important de toute technologie. Ce travail présente un modèle détaillé des systèmes AWE basés sur Magnus ainsi que les algorithmes de contrôle nécessaires au fonctionnement de tels systèmes. Les courbes de puissance sont des outils couramment utilisés pour analyser les systèmes d'énergie éolienne. Ce travail présente une approche pour la conception de courbes de puissance pour les systèmes AWE afin d'analyser les capacités de production d'énergie des systèmes d'énergie éolienne aéroportés<br>Last century has been the century of the technology revolution. Fossil fuels have fueled this technology revolution. The challenges faced by our society be it the climate change or the world energy situation or the depletion of fossil fuel reserves are the most grievous challenges faced by any generation. Renewable energy is believed to be the key to energy problems of our society. There are many innovative technologies competing against each other to fuel the next energy revolution. Renewables sources of energies such as solar, wind, biomass, hydropower, geothermal etc. Though promising but due to the high economic cost and limited application they are yet to prove their mass scale applicability. Almost all of them are seasonal, hence, are discontinuous and non-uniform sources of energy. They also have a limitation in terms of choice of plant sites, and generally, require large tracts of land for plants which lead to low power density per unit area.Nonetheless, Wind and Solar energy have attracted a lot of attention in the last few decades. However, for the world to fully shift from fossil fuels and nuclear energy to Wind and Solar power, it is necessary to develop new kind of systems which can generate continuous power at a lower cost with fewer site selection constraints.In the quest to find the perennial clean source of energy. Our society is looking towards the scientific community for innovative solutions. This thesis is one such step towards finding innovative solutions to our energy problems. High altitude wind energy systems (HAWE) or more commonly known as Airborne wind energy systems (AWES) are believed to be the answer to the energy needs of the future generations. Airborne wind energy (AWE) is an innovative concept aiming at utilizing the energy of the high altitude wind currents, as high altitude wind currents are almost uniform across the globe, and AWES can be practically set-up anywhere around the world. Also, the proposed AWE systems require less structural material. Thus, they are expected to be much cheaper than any other available energy source. Therefore, AWE is a promising prospect in this quest to find a solution to our energy problems.In this work, the feasibility of Magnus-based airborne wind energy systems is explored. The work presents in detail a brief history of Airborne wind energy systems and the basic concepts needed to develop an understanding about the AWE technology. It discusses in detail Magnus-based airborne systems and gives a historical perspective on the Magnus-effect based machines. It discusses in detail the aerodynamical properties of the Magnus effect and presents an aerodynamic model for such systems. Since modeling is an important aspect of any technology. This work presents a detailed model of the Magnus-based AWE systems along with the control algorithms required for the operation of such systems. A common tool used to analyze wind-based energy systems is power curves. This work presents an approach to design power curves for AWE systems in order to analyze the power producing capabilities of Airborne wind energy systems
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Warsewa, Alexander [Verfasser]. "Energy-based modeling and decentralized observers for adaptive structures / Alexander Warsewa." Düren : Shaker, 2021. http://d-nb.info/1238497411/34.

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Ye, Chang. "Automatic Battery Interface-based Energy Modeling for Wireless Interface on Smartphones." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429643861.

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Akande, Sodiq. "Selecting the Most Effective Energy Modeling Tool Based on a Project Requirement." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etd/3472.

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Building energy usage can be derived and controlled by performing building energy modeling. BEM can be performed using numerous software tools such as DesignBuilder, OpenStudio, EnergyPlus etc. These modeling tools can be sorted into three different modeling categories: Black-box, Gray-box and White-box. It is important for a modeler to be able to quickly select the proper tool from the proper category to meet the need of the project. To validate the method of categorizing tools, the three models generated using tools from each category and the modeling outputs required were compared. Each model was designed to estimate the amount of heat transfer through building envelope elements. All the modeling tools were able to generate the required output, therefore, the method for selecting the most effective tool will be based on the output requirements and the time it takes to build the model, time it takes to generate the output and interpret the output.
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Books on the topic "Energy based modeling"

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Krones, Manuela. A Method to Identify Energy Efficiency Measures for Factory Systems Based on Qualitative Modeling. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18343-1.

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Dam, Koen H. Agent-Based Modelling of Socio-Technical Systems. Springer Netherlands, 2013.

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Grassini, Maurizio, and Rossella Bardazzi, eds. Energy Policy and International Competitiveness. Firenze University Press, 2009. http://dx.doi.org/10.36253/978-88-6453-043-7.

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This book is a collection of selected papers presented at the XVI Inforum World Conference organized by the European University of Lefke, North Cyprus, in September 2008. Inforum (Interindustry Forecasting Project at the University of Maryland) was founded in 1967 by Dr. Clopper Almon, now Professor Emeritus at the University of Maryland. At international level, partners build national econometric models for their own country sharing a common modelling approach based on a sectoral representation of the economy. The contributions presented here illustrate the wide variety of issues that can be explored using these models, with particular emphasis on energy policies and competitiveness analyses, which are very high on the agenda of policymakers worldwide.
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Bekbasarov, Isabay. Study of the process of driving piles and dies on models. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1074097.

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The monograph presents the results of experimental and theoretical studies conducted using models of driven piles and tape dies. The influence of the cross-section size, length, shape of the trunk and the lower end of the piles on their submergability, energy intensity of driving and load-bearing capacity was evaluated. The design and technological features of new types of piles are considered. A method for determining the load-bearing capacity of a pile model based on the results of dynamic tests has been developed. Similarity conditions and formulas are presented that provide modeling of the pile driving process in the laboratory. The influence of the shape of the tape dies on their submersibility, energy consumption of the driving and the bearing capacity of the foundations arranged in the vyshtampovannyh pits was evaluated. The method of determining the load-bearing capacity of a belt Foundation model based on the results of pit vyshtampovyvaniya is described. Recommendations on the choice of optimal parameters of piles and foundations, arranged in vystupovani pits. Recommended for researchers, specialists of design and construction organizations, doctoral students, postgraduates, undergraduates and students of construction and water management specialties.
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Smart Home: New Monitoring Recommendation based on IoT Modeling: For Power Energy. Qarn Fourteen, 2019.

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Balaman, Sebnem Yilmaz. Decision-Making for Biomass-Based Production Chains: Modeling Approaches and Solution Frameworks for Design and Management of Biomass Supply Chains. Elsevier Science & Technology, 2018.

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Qudrat-Ullah, Hassan, and Aymen A. Kayal. Climate Change and Energy Dynamics in the Middle East: Modeling and Simulation-Based Solutions. Springer, 2019.

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Krones, Manuela. A Method to Identify Energy Efficiency Measures for Factory Systems Based on Qualitative Modeling. Springer Vieweg, 2017.

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Lukszo, Zofia, Koen H. Dam, and Igor Nikolic. Agent-Based Modelling of Socio-Technical Systems. Springer, 2012.

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Keulertz, Martin, Jeannie Sowers, Eckart Woertz, and Rabi Mohtar. The Water-Energy-Food Nexus in Arid Regions. Edited by Ken Conca and Erika Weinthal. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199335084.013.28.

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Systems of producing, consuming, and distributing water, energy, and food involve trade-offs that are rarely explicitly considered by firms and policymakers. The idea of the water-energy-food “nexus” represents an attempt to formalize these trade-offs into decision-making processes. Multinational food and beverage firms operating in arid regions were early promoters of nexus approaches, followed by aid donors, consultancies, and international institutions seeking a new paradigm for resource management and development planning. The first generation of nexus research focused on quantitative input-output modeling to empirically demonstrate interdependencies and options for optimizing resource management. This chapter employs a different approach, analyzing institutional “problemsheds” that shape the implementation of nexus initiatives in arid regions of the United States, the Persian/Arabian Gulf, and China. Our analysis reveals how nexus approaches are conditioned by property rights regimes, economic growth strategies based on resource extraction, and the ability to externalize environmental costs to other regions and states.
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Book chapters on the topic "Energy based modeling"

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Liu, Wu, Jiangyu Liu, Xiaoyan Gu, Kun Liu, Xiaowei Dai, and Huadong Ma. "Deep Learning Based Intelligent Basketball Arena with Energy Image." In MultiMedia Modeling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51811-4_49.

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Bacha, Seddik, Iulian Munteanu, and Antoneta Iuliana Bratcu. "Energy-Based Control of Power Electronic Converters." In Power Electronic Converters Modeling and Control. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5478-5_12.

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Povoa, Lucas Venezian, Cesar Marcondes, and Hermes Senger. "Modeling Energy Consumption Based on Resource Utilization." In Computational Science and Its Applications – ICCSA 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24289-3_18.

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Hirai, S. "Energy-Based Modeling of Deformable Linear Objects." In Robot Manipulation of Deformable Objects. Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0749-1_3.

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Kumar, Indradeep. "Simulation and Modeling of Nanotechnology Aircraft Energy System Using MATLAB." In Nanomaterials-Based Composites for Energy Applications. Apple Academic Press, 2019. http://dx.doi.org/10.1201/9780429265051-5.

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Hammer, Stephan, Michael Wißner, and Elisabeth André. "Trust-Based Decision-Making for Energy-Aware Device Management." In User Modeling, Adaptation, and Personalization. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08786-3_29.

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Talbi, S., I. Atmane, N. El Moussaoui, K. Kassmi, O. Deblecker, and N. Bachiri. "Thermal Modeling of Photovoltaic Ovens and Hotplates." In Sustainable Entrepreneurship, Renewable Energy-Based Projects, and Digitalization. CRC Press, 2020. http://dx.doi.org/10.1201/9781003097921-13.

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Ekwaro-Osire, Stephen, Haileyesus Belay Endeshaw, Fisseha M. Alemayehu, and Ozhan Gecgel. "Probabilistic Model-Based Prognostics Using Meshfree Modeling." In Probabilistic Prognostics and Health Management of Energy Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55852-3_5.

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Yan, Ke, Wenjun Xu, Bitao Yao, Zude Zhou, and Duc Truong Pham. "Digital Twin-Based Energy Modeling of Industrial Robots." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2853-4_26.

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Hamann, Hendrik F., and Vanessa López. "Data Center Metrology and Measurement-Based Modeling Methods." In Energy Efficient Thermal Management of Data Centers. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-7124-1_7.

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Conference papers on the topic "Energy based modeling"

1

Sekar, John A. P., Justin S. Hogg, and James R. Faeder. "Energy-based modeling in BioNetGen." In 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2016. http://dx.doi.org/10.1109/bibm.2016.7822739.

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Jebai, Al Kassem, Pascal Combes, Francois Malrait, Philippe Martin, and Pierre Rouchon. "Energy-based modeling of electric motors." In 2014 IEEE 53rd Annual Conference on Decision and Control (CDC). IEEE, 2014. http://dx.doi.org/10.1109/cdc.2014.7040330.

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Dan Li and Li Qi. "Energy based fuse modeling and simulation." In 2013 IEEE Electric Ship Technologies Symposium (ESTS 2013). IEEE, 2013. http://dx.doi.org/10.1109/ests.2013.6523781.

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Kai Xie, Jie Bao, Zhe Zhang, and Xu Xie. "NCG's experiences with CIM based network modeling." In Energy Society General Meeting. IEEE, 2010. http://dx.doi.org/10.1109/pes.2010.5588200.

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Jianquan Zhu, Feng Liu, Shengwei Mei, and Shaoming Zheng. "Electric load modeling based on characteristic fusion." In 2012 IEEE Power & Energy Society General Meeting. New Energy Horizons - Opportunities and Challenges. IEEE, 2012. http://dx.doi.org/10.1109/pesgm.2012.6345321.

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Hou, Jianmin, and Dequn Zhou. "Agent-Based Modeling of Distributed Energy System." In 2010 Third International Conference on Information and Computing Science (ICIC). IEEE, 2010. http://dx.doi.org/10.1109/icic.2010.48.

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Chappin, Emile J. L., and G. P. J. Dijkema. "Agent-based modeling of energy infrastructure transitions." In 2008 First International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA). IEEE, 2008. http://dx.doi.org/10.1109/infra.2008.5439580.

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Saadon, Salem, and Othman Sidek. "Ambient vibration-based MEMS piezoelectric energy harvester for green energy source." In 2011 Fourth International Conference on Modeling, Simulation and Applied Optimization (ICMSAO). IEEE, 2011. http://dx.doi.org/10.1109/icmsao.2011.5775554.

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Kiran, P., K. R. M. Vijaya Chandrakala, and T. N. P. Nambiar. "Day ahead market operation with agent based modeling." In 2017 International Conference on Technological Advancements in Power and Energy (TAP Energy). IEEE, 2017. http://dx.doi.org/10.1109/tapenergy.2017.8397302.

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Nytsch-Geusen, Christoph. "Latest developments in equation-based building energy simulation." In EOOLT '19: 9th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools. ACM, 2019. http://dx.doi.org/10.1145/3365984.3369801.

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Reports on the topic "Energy based modeling"

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Edwards, Richard, Lynne Parker, and Joshua New. Sensor-Based Energy Modeling. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1651384.

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Bhatikar, S. R., R. L. Mahajan, K. Wipke, and V. Johnson. Neural Network Based Energy Storage System Modeling for Hybrid Electric Vehicles. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/935117.

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Ching, Wai-Yim. AB INITIO Modeling of Thermomechanical Properties of Mo-Based Alloys for Fossil Energy Conversion. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1130966.

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Gifford, Jason S., Robert C. Grace, and Wilson H. Rickerson. Renewable Energy Cost Modeling. A Toolkit for Establishing Cost-Based Incentives in the United States. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1219218.

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Kelley, B. Interaction and Impact Studies for Distributed Energy Resource, Transactive Energy, and Electric Grid, using High Performance Computing ?based Modeling and Simulation. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1343840.

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Gifford, J. S., R. C. Grace, and W. H. Rickerson. Renewable Energy Cost Modeling: A Toolkit for Establishing Cost-Based Incentives in the United States; March 2010 -- March 2011. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1016428.

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LaGory, Kirk, Yuki Hamada, Paul Tarpey, et al. A spatially explicit individual-based modeling approach to evaluate the cumulative effects of wind energy development on the greater sage-grouse. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1772426.

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Bozeman, Jeffrey, and Kuo-Huey Chen. General Motors LLC Final Project Report: Improving Energy Efficiency by Developing Components for Distributed Cooling and Heating Based on Thermal Comfort Modeling. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1222700.

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Steward, D., M. Penev, G. Saur, W. Becker, and J. Zuboy. Fuel Cell Power Model Version 2: Startup Guide, System Designs, and Case Studies. Modeling Electricity, Heat, and Hydrogen Generation from Fuel Cell-Based Distributed Energy Systems. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1087789.

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LaGory, Kirk, Yuki Hamada, Paul Tarpey, and Cory Weber. A Spatially Explicit Individual-Based Modeling Approach to Evaluate the Cumulative Effects of Wind Energy Development on the Greater Sage-Grouse: Sensitivity Analysis and Validation of Key Parameters. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1772470.

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