914 resultados para Hybrid, Vehicle, Energy, Scooter


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This paper proposes a methodology for improvement of energy efficiency in buildings through the innovative simultaneous incorporation of three distinct phase change materials (here termed as hybrid PCM) in plastering mortars for façade walls. The thermal performance of a hybrid PCM mortar was experimentally evaluated by comparing the behaviour of a prototype test cell (including hybrid PCM plastering mortar) subjected to realistic daily temperature profiles, with the behaviour of a similar prototype test cell, in which no PCM was added. A numerical simulation model was employed (using ANSYS-FLUENT) to validate the capacity of simulating temperature evolution within the prototype containing hybrid PCM, as well as to understand the contribution of hybrid PCM to energy efficiency. Incorporation of hybrid PCM into plastering mortars was found to have the potential to significantly reduce heating/cooling temperature demands for maintaining the interior temperature within comfort levels when compared to normal mortars (without PCM), or even mortars comprising a single type of PCM.

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Due to communication and technology developments, residential consumers are enabled to participate inàDemand Response Programs (DRPs), control their consumption and decrease their cost by usingàHousehold Energy Management (HEM) systems. On the other hand, capability of energy storage systemsàto improve the energy efficiency causes that employing Phase Change Materials (PCM) as thermal storageàsystems to be widely addressed in the building applications. In this paper, an operational model of HEMàsystem considering the incorporation of more than one type of PCM in plastering mortars (hybrid PCM) isàproposed not only to minimize the customerâ s cost in different DRPs but also to guaranty the habitantsâ àsatisfaction. Moreover, the proposed model ensures the technical and economic limits of batteries andàelectrical appliances. Different case studies indicate that implementation of hybrid PCM in the buildingsàcan meaningfully affect the operational pattern of HEM systems in different DRPs. The results reveal thatàthe customerâ s electricity cost can be reduced up to 48% by utilizing the proposed model.

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Tese de Doutoramento em Engenharia Civil

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This thesis investigates the challenges of establishing the electric vehicle (EV) in Ireland and how the Irish government and industry are trying to meet them. It further seeks to provide information on Irish consumersâ attitudes towards the electric vehicle and their willingness to purchase it. The review of the literature showed that the Irish government is investing significant funds in trying to establish the market for the electric vehicle and position itself as a world leader in adopting the electric vehicle. The EV will also have an important role to play in how Ireland meets its targets for CO2 reductions towards 2020. Climate change and use of fossil fuels are driving the need for increased use of renewable energy and increased energy independence while reducing the greenhouse gas emissions that are the leading cause of climate change. The transport sector is almost completely dependent on the use of fossil fuel and resultantly is one of the largest sources of these GHG emissions. These issues are leading to the design and production of more energy efficient and environmentally friendly vehicles. The ultimate goal is to achieve a zero emissions vehicle. The electric vehicle is presently the only vehicle being mass produced that has the potential to be zero emissions. There are however issues that customers may not be willing to overlook such as the lower range of the vehicle and the length of time it takes to recharge. Vehicle cost is also an important issue that customers may not overlook. Knowing what the consumerâs attitudes are towards the EV and their willingness to purchase them is important as these new vehicles begin to appear in the showrooms. The consumers will be vital to how successful this market becomes. Using an online questionnaire methodology, in a sample of 118 consumers, the major conclusion to be drawn from the research is that the vehicle price, the convenience to recharge and vehicle range were the three most essential issues for the consumers if they were purchasing an EV. The success of the electric vehicle market may depend on what measures are taken to overcome them.

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In this paper, we present a first approach to evolve a cooperative behavior in ad hoc networks. Since wireless nodes are energy constrained, it may not be in the best interest of a node to always accept relay requests. On the other hand, if all nodes decide not to expend energy in relaying, then network throughput will drop dramatically. Both these extreme scenarios are unfavorable to the interests of a user. In this paper we deal with the issue of user cooperation in ad hoc networks by developing the algorithm called Generous Tit-For-Tat. We assume that nodes are rational, i.e., their actions are strictly determined by self-interest, and that each node is associated with a minimum lifetime constraint. Given these lifetime constraints and the assumption of rational behavior, we study the added behavior of the network.

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The higher education sector has become increasingly competitive and prospective students are adopting a consumerist approach to institution and programme choice. In response, higher education marketing has become more complex, market-oriented and business-like. Financial sustainability of open education resource (OER) projects is a widespread concern. This paper explores the extent to which a classical product placement framework can be applied to OERs to justify institutional funding in OER projects as a marketing investment. It is argued that OERs designed on this premise can increase cognitive, affective and conative brand outcomes while providing the traditional educational and societal benefits associated with OERs. A series of propositions are presented that may form the basis of a future research agenda.

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This paper proposes a hybrid coordination method for behavior-based control architectures. The hybrid method takes advantages of the robustness and modularity in competitive approaches as well as optimized trajectories in cooperative ones. This paper shows the feasibility of applying this hybrid method with a 3D-navigation to an autonomous underwater vehicle (AUV). The behaviors are learnt online by means of reinforcement learning. A continuous Q-learning implemented with a feed-forward neural network is employed. Realistic simulations were carried out. The results obtained show the good performance of the hybrid method on behavior coordination as well as the convergence of the behaviors

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Report submitted by the Iowa Department of Natural Resources and the Iowa Department of Transportation to the General Assembly as required by Senate File 458, section 152, passed by the 2003 General Assembly and signed May 30, 2003.

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This study analyzes the impact of price shocks in three input and output markets critical to ethanol: gasoline, corn, and sugar. We investigate the impact of these shocks on ethanol and related agricultural markets in the United States and Brazil. We find that the composition of a countryâs vehicle fleet determines the direction of the response of ethanol consumption to changes in the gasoline price. We also find that a change in feedstock costs affects the profitability of ethanol producers and the domestic ethanol price. In Brazil, where two commodities compete for sugarcane, changes in the sugar market affect the competing ethanol market.

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Two hybrid compounds comprising an antimetastatic ruthenium-arene fragment tethered to an indazole-3-carboxylic acid derivative that inhibits aerobic glycolysis in cancer cells have been prepared and evaluated in a variety of cancer cell lines, including highly relevant human glioblastoma cells, with an apparent synergistic action between the two components observed.

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This report details the port interconnection of two subsystems: a power electronics subsystem (a back-to-back AC/AC converter (B2B), coupled to a phase of the power grid), and an electromechanical subsystem (a doubly-fed induction machine (DFIM), coupled mechanically to a flywheel and electrically to the power grid and to a local varying load). Both subsystems have been essentially described in previous reports (deliverables D 0.5 and D 4.3.1), although some previously unpublished details are presented here. The B2B is a variable structure system (VSS), due to the presence of control-actuated switches: however from a modelling and simulation, as well as a control-design, point of view, it is sensible to consider modulated transformers (MTF in the bond-graph language) instead of the pairs of complementary switches. The port-Hamiltonian models of both subsystems are presents and coupled through a power-preserving interconnection, and the Hamiltonian description of the whole system is obtained; detailed bond-graphs of all the subsystems and the complete system are provided.

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Kasvihuonekaasu- ja hiilidioksidipäästÃt ovat kasvaneet viimeisten vuosikymmenten aikana merkittävästi. Merkittävimpiä päästÃjen lähteitä ovat liikenteessä ja energiantuotannossa käytetyt fossiiliset polttoaineet. Kaikista maailman kasvihuonepäästÃistä liikenne aiheuttaa noin 13 %, josta yli 80 % on tieliikenteen aiheuttamia päästÃjä. Jotta tieliikenteen ai-heuttamia päästÃjä saataisiin vähennettyä on tieliikenteeseen kehitettävä yhä vähäpäästÃisempiä ja päästÃttÃmiä kulkuvälineitä. Tämä on ollut yksi päätekijä sähkÃ- ja hybridiautojen kehitykseen. Tässä kandidaatintyÃssä selvitetään sähkÃ- ja hybridiautoissa käytettyjä jännitetasoja sekä voimansiirtojärjestelmissä käytettyjä komponentteja. Tyà rajoittuu ainoastaan henkilÃautoihin, joista tarkastelun kohteena ovat sähkÃ-, hybridi- ja muunnossähkÃautot. TyÃssä tarkastellaan myÃs sähkÃ- ja hybridiautojen tulevaisuuden näkymiä turvallisuuden ja standardoinnin kannalta. TyÃssä esitettyjen tietojen perusteella saadaan selkeä näkemys siitä, miten käytetyt jännitetasot ja komponentit vaihtelevat eri autovalmistajien kesken. Korkeammat jännitetasot ovat energiatehokkuuden kannalta parempia, mutta aiheuttavat vaatimuksia käyttÃturvallisuuteen liittyvissä kysymyksissä.

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Tulevaisuudessa sähkÃverkko kohtaa monia haasteita, kun sähkÃautot yleistyvät, vaatien suuren tehotarpeen. Uusiutuvan energiantuotannon epävarma huipputehon tuotanto ei välttämättä pysty kattamaan sähkÃautoista johtuvaa suurta tehopiikkiä, jos suuret määrät ajoneuvoista kytketään yhtä aikaa lataukseen. Jos sähkÃajoneuvot voidaan ladata ohjatusti, ei välttämättä tarvita lisäenergian tuotantoa kattamaan kasvanutta huipputehon tarvetta. Lisäksi sähkÃajoneuvojen akut toimivat koko sähkÃverkolle energiavarastoina, jollaista ei ole ennen ollut. Ãlykkäällä sähkÃverkolla voidaan ohjata sähkÃajoneuvon latausta, mikäli ajoneuvossa on ohjausjärjestelmä ja akkujen varaustilan mittaus. Tässä kandidaatin tyÃssä ohjelmoidaan mittaus- ja ohjauskortti plug-in hybridiautoa varten, jossa on V2G-ominaisuus. Ohjainkortista toteutetaan toimintakuvaus, jonka mukaan se myÃs ohjelmoidaan. Ohjainkortti mittaa akkujen jännitettä ja virtaa, joista voidaan määrittää akkujen varaustilat. Ohjainkortti lähettää tiedot eteenpäin PC:lle, jolta ohjainkortti saa käskyn toimintatilasta. Mittaustietojen perusteella voidaan seurata mahdollisia vikatilanteita. KandidaatintyÃn aikana ohjainkorttia ei ehditty asentamaan ajoneuvoon, mutta laboratoriotestien mukaan voidaan todeta, että ohjainkortti on ohjelmallisesti toimiva. Mittauksissa selvisi, että ohjainkortin mittaustulot eivät olleet tarpeeksi tarkkoja käyttÃkohteeseen. Todettiin, että ohjainkortti vaatii rakenteellisia muutoksia mittaustuloksien parantamista varten, ennen ohjainkortin käyttÃÃnottoa, mutta kandidaatintyÃn tavoitteet saavutettiin.

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Esitetyn tutkimuksen tavoite on selvittää yksinkertaisen sähkÃajoneuvosimulaation avulla sähkÃkäyttÃsimulaation ja mekaniikkasimulaation välisen ohjelmallisen rajapinnan toimivuutta ja samalla toteuttaa LUT Energian hybridilaboratorion ensimmäinen rajapintaa hyÃdyntävä sähkÃkäytÃn ja mekaniikan yhdistelmäsimulaatio. Tutkimus on osa Lappeenrannan teknillisen yliopiston hybridikäyttÃtutkimusta, jossa muun muassa virtuaalisimuloinnin ja in-loop âsimulaatioiden avulla tutkitaan raskaiden tyÃkoneiden hybridisoinnin vaikutuksia esimerkiksi niiden suorituskykyyn, energiatehokkuuteen ja käytettävyyteen. Tulokset osoittavat mainitun rajapinnan toimivuuden, mikä mahdollistaa tutkimuksen etenemisen. Lisäksi raportti selvittää virtuaalisimuloinnin keskeisiä käsitteitä (virtual prototyping, hardware-in-the-loop sekä human-in-the-loop âsimulointi).

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In this work mathematical programming models for structural and operational optimisation of energy systems are developed and applied to a selection of energy technology problems. The studied cases are taken from industrial processes and from large regional energy distribution systems. The models are based on Mixed Integer Linear Programming (MILP), Mixed Integer Non-Linear Programming (MINLP) and on a hybrid approach of a combination of Non-Linear Programming (NLP) and Genetic Algorithms (GA). The optimisation of the structure and operation of energy systems in urban regions is treated in the work. Firstly, distributed energy systems (DES) with different energy conversion units and annual variations of consumer heating and electricity demands are considered. Secondly, district cooling systems (DCS) with cooling demands for a large number of consumers are studied, with respect to a long term planning perspective regarding to given predictions of the consumer cooling demand development in a region. The work comprises also the development of applications for heat recovery systems (HRS), where paper machine dryer section HRS is taken as an illustrative example. The heat sources in these systems are moist air streams. Models are developed for different types of equipment price functions. The approach is based on partitioning of the overall temperature range of the system into a number of temperature intervals in order to take into account the strong nonlinearities due to condensation in the heat recovery exchangers. The influence of parameter variations on the solutions of heat recovery systems is analysed firstly by varying cost factors and secondly by varying process parameters. Point-optimal solutions by a fixed parameter approach are compared to robust solutions with given parameter variation ranges. In the work enhanced utilisation of excess heat in heat recovery systems with impingement drying, electricity generation with low grade excess heat and the use of absorption heat transformers to elevate a stream temperature above the excess heat temperature are also studied.