888 resultados para power to extend time
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A study on heat pump thermodynamic characteristics has been made in the laboratory on a specially designed and instrumented air to water heat pump system. The design, using refrigerant R12, was based on the requirement to produce domestic hot water at a temperature of about 50 °C and was assembled in the laboratory. All the experimental data were fed to a microcomputer and stored on disk automatically from appropriate transducers via amplifier and 16 channel analogue to digital converters. The measurements taken were R12 pressures and temperatures, water and R12 mass flow rates, air speed, fan and compressor input powers, water and air inlet and outlet temperatures, wet and dry bulb temperatures. The time interval between the observations could be varied. The results showed, as expected, that the COP was higher at higher air inlet temperatures and at lower hot water output temperatures. The optimum air speed was found to be at a speed when the fan input power was about 4% of the condenser heat output. It was also found that the hot water can be produced at a temperature higher than the appropriate R12 condensing temperature corresponding to condensing pressure. This was achieved by condenser design to take advantage of discharge superheat and by further heating the water using heat recovery from the compressor. Of the input power to the compressor, typically about 85% was transferred to the refrigerant, 50 % by the compression work and 35% due to the heating of the refrigerant by the cylinder wall, and the remaining 15% (of the input power) was rejected to the cooling medium. The evaporator effectiveness was found to be about 75% and sensitive to the air speed. Using the data collected, a steady state computer model was developed. For given input conditions s air inlet temperature, air speed, the degree of suction superheat , water inlet and outlet temperatures; the model is capable of predicting the refrigerant cycle, compressor efficiency, evaporator effectiveness, condenser water flow rate and system Cop.
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This paper aims to help supply chain managers to determine the value of retailer-supplier partnership initiatives beyond information sharing (IS) according to their specific business environment under time-varying demand conditions. For this purpose, we use integer linear programming models to quantify the benefits that can be accrued by a retailer, a supplier and system as a whole from shift in inventory ownership and shift in decision-making power with that of IS. The results of a detailed numerical study pertaining to static time horizon reveal that the shift in inventory ownership provides system-wide cost benefits in specific settings. Particularly, when it induces the retailer to order larger quantities and the supplier also prefers such orders due to significantly high setup and shipment costs. We observe that the relative benefits of shift in decision-making power are always higher than the shift in inventory ownership under all the conditions. The value of the shift in decision-making power is greater than IS particularly when the variability of underlying demand is low and time-dependent variation in production cost is high. However, when the shipment cost is negligible and order issuing efficiency of the supplier is low, the cost benefits of shift in decision-making power beyond IS are not significant. © 2012 Taylor & Francis.
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We propose and experimentally demonstrate a new method to extend the range of Brillouin optical time domain analysis (BOTDA) systems. It exploits the virtual transparency created by second-order Raman pumping in optical fibers. The idea is theoretically analyzed and experimentally demonstrated in a 50 km fiber. By working close to transparency, we also show that the measurement length of the BOTDA can be increased up to 100 km with 2 meter resolution. We envisage extensions of this technique to measurement lengths well beyond this value, as long as the issue of relative intensity noise (RIN) of the primary Raman pump can be avoided. © 2010 Optical Society of America.
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Modern power networks incorporate communications and information technology infrastructure into the electrical power system to create a smart grid in terms of control and operation. The smart grid enables real-time communication and control between consumers and utility companies allowing suppliers to optimize energy usage based on price preference and system technical issues. The smart grid design aims to provide overall power system monitoring, create protection and control strategies to maintain system performance, stability and security. This dissertation contributed to the development of a unique and novel smart grid test-bed laboratory with integrated monitoring, protection and control systems. This test-bed was used as a platform to test the smart grid operational ideas developed here. The implementation of this system in the real-time software creates an environment for studying, implementing and verifying novel control and protection schemes developed in this dissertation. Phasor measurement techniques were developed using the available Data Acquisition (DAQ) devices in order to monitor all points in the power system in real time. This provides a practical view of system parameter changes, system abnormal conditions and its stability and security information system. These developments provide valuable measurements for technical power system operators in the energy control centers. Phasor Measurement technology is an excellent solution for improving system planning, operation and energy trading in addition to enabling advanced applications in Wide Area Monitoring, Protection and Control (WAMPAC). Moreover, a virtual protection system was developed and implemented in the smart grid laboratory with integrated functionality for wide area applications. Experiments and procedures were developed in the system in order to detect the system abnormal conditions and apply proper remedies to heal the system. A design for DC microgrid was developed to integrate it to the AC system with appropriate control capability. This system represents realistic hybrid AC/DC microgrids connectivity to the AC side to study the use of such architecture in system operation to help remedy system abnormal conditions. In addition, this dissertation explored the challenges and feasibility of the implementation of real-time system analysis features in order to monitor the system security and stability measures. These indices are measured experimentally during the operation of the developed hybrid AC/DC microgrids. Furthermore, a real-time optimal power flow system was implemented to optimally manage the power sharing between AC generators and DC side resources. A study relating to real-time energy management algorithm in hybrid microgrids was performed to evaluate the effects of using energy storage resources and their use in mitigating heavy load impacts on system stability and operational security.
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A wide range of non-destructive testing (NDT) methods for the monitoring the health of concrete structure has been studied for several years. The recent rapid evolution of wireless sensor network (WSN) technologies has resulted in the development of sensing elements that can be embedded in concrete, to monitor the health of infrastructure, collect and report valuable related data. The monitoring system can potentially decrease the high installation time and reduce maintenance cost associated with wired monitoring systems. The monitoring sensors need to operate for a long period of time, but sensors batteries have a finite life span. Hence, novel wireless powering methods must be devised. The optimization of wireless power transfer via Strongly Coupled Magnetic Resonance (SCMR) to sensors embedded in concrete is studied here. First, we analytically derive the optimal geometric parameters for transmission of power in the air. This specifically leads to the identification of the local and global optimization parameters and conditions, it was validated through electromagnetic simulations. Second, the optimum conditions were employed in the model for propagation of energy through plain and reinforced concrete at different humidity conditions, and frequencies with extended Debye's model. This analysis leads to the conclusion that SCMR can be used to efficiently power sensors in plain and reinforced concrete at different humidity levels and depth, also validated through electromagnetic simulations. The optimization of wireless power transmission via SMCR to Wearable and Implantable Medical Device (WIMD) are also explored. The optimum conditions from the analytics were used in the model for propagation of energy through different human tissues. This analysis shows that SCMR can be used to efficiently transfer power to sensors in human tissue without overheating through electromagnetic simulations, as excessive power might result in overheating of the tissue. Standard SCMR is sensitive to misalignment; both 2-loops and 3-loops SCMR with misalignment-insensitive performances are presented. The power transfer efficiencies above 50% was achieved over the complete misalignment range of 0°-90° and dramatically better than typical SCMR with efficiencies less than 10% in extreme misalignment topologies.
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In the western North Atlantic, warm and saline water is brought by the North Atlantic Current (NAC) from the subtropics into the subpolar gyre. Four inverted echo sounders with high precision pressure sensors (PIES) were moored between 47°40' N and 52°30' N to study the main pathways of the NAC from the western into the eastern basin. The array configuration that forms three segments (northern, central, and southern) allows partitioning of the NAC and some assessment of NAC flow paths through the different Mid-Atlantic Ridge fracture zones. We exploit the correlation between the NAC transport measured between 2006 and 2010 and the geostrophic velocity from altimeter data to extend the time series of NAC transports to the period from 1992 to 2013. The mean NAC transport over the entire 21 years is 27 ± 5 Sv, consisting of 60% warm water of subtropical origin and 40% subpolar water. We did not find a significant trend in the total transport time series, but individual segments had opposing trends, leading to a more focused NAC in the central subsection and decreasing transports in the southern and northern segments. The spectral analysis exhibits several significant peaks. The two most prominent are around 120 days, identified as the time scale of meanders and eddies, and at 4-9 years, most likely related to the NAO. Transport composites for the years of highest and lowest NAO indices showed a significantly higher transport (+2.9 Sv) during strong NAO years, mainly in the southern segment.
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Early instrumental pressure measurements from Gibraltar and the Reykjavik area of Iceland have been used to extend to 1821 the homogeneous pressure series at the two locations. In winter the two sites are located close to the centres of action that comprise the North Atlantic Oscillation (NAO). The extended 'winter half-year' record of the NAO enables recent changes in the record to be placed in the context of the period 1823-1996. The period since the early 1970s is the most prolonged positive phase of the oscillation and the late 1980s and early 1990s is the period with the highest values (strongest westerlies). The winter of 1995-1996 marked a dramatic switch in the index, with the change from 1994-1995 being the greatest change recorded from one year to the next since the series began in 1823. (The extended Gibraltar and Reykjavik monthly pressures and the NAO series can be found on the Climatic Research Unit home page, http://www.cru.uea.ac.uk/).
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Thesis (Ph.D.)--University of Washington, 2016-08
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Résumé : L’entrainement sportif est « un processus de perfectionnement de l’athlète dirigé selon des principes scientifiques et qui, par des influences planifiées et systématiques (charges) sur la capacité de performance, vise à mener le sportif vers des performances élevées et supérieures dans un sport ou une discipline sportive » (Harre, 1982). Un entrainement sportif approprié devrait commencer dès l’enfance. Ainsi, le jeune sportif pourrait progressivement et systématiquement développer son corps et son esprit afin d’atteindre l’excellence sportive (Bompa, 2000; Weineck, 1997). Or plusieurs entraineurs, dans leur tentative de parvenir à des résultats de haut niveau rapidement, exposent les jeunes athlètes à une formation sportive très spécifique et rigoureuse, sans prendre le temps de développer convenablement les aptitudes physiques et motrices et les habiletés motrices fondamentales sous-jacentes aux habiletés sportives spécifiques (Bompa, 2000), d’où l’appellation « spécialisation hâtive ». Afin de contrer les conséquences néfastes de la spécialisation hâtive, de nouvelles approches d’entrainement ont été proposées. Une des façons d’y arriver consisterait notamment à pratiquer différents sports en bas âge (Fraser-Thomas, Côté et Deakin, 2008; Gould et Carson, 2004; Judge et Gilreath, 2009; LeBlanc et Dickson, 1997; Mostafavifar, Best et Myer, 2013), d’où l’appellation « diversification sportive ». Plusieurs organisations sportives et professionnelles ont décidé de valoriser et de mettre en place des programmes basés sur la diversification sportive (Kaleth et Mikesky, 2010). C’est donc à la suite d’une prise de conscience des effets néfastes de la spécialisation hâtive que des professionnels de l’activité physique d’une école secondaire du Québec (éducateur physique, kinésiologue et agent de développement sportif) ont mis en place un programme multisports-études novateur au premier cycle du secondaire, inspiré des sciences du sport et des lignes directrices du modèle de développement à long terme de l’athlète (DLTA) (Balyi, Cardinal, Higgs, Norris et Way, 2005). Le présent projet de recherche porte sur le développement des aptitudes physiques et motrices chez de jeunes sportifs inscrits à un programme de spécialisation sportive et de jeunes sportifs inscrits à un programme de diversification sportive à l’étape « S’entrainer à s’entrainer » (12 à 16 ans) du modèle de développement à long terme de l’athlète (Balyi et al., 2005). L’objectif principal de cette étude est de rendre compte de l’évolution des aptitudes physiques et motrices de jeunes élèves-athlètes inscrits, d’une part, à un programme sport-études soccer (spécialisation) et, d’autre part, à un programme multisports-études (diversification). Plus spécifiquement, cette étude tente de (a) dresser un portrait détaillé de l’évolution des aptitudes physiques et motrices des élèves-athlètes de chaque programme et de faire un parallèle avec la planification annuelle de chaque programme sportif et (b) de rendre compte des différences d’aptitudes physiques et motrices observées entre les deux programmes. Le projet de recherche a été réalisé dans une école secondaire de la province de Québec. Au total, 53 élèves-athlètes de première secondaire ont été retenus pour le projet de recherche selon leur volonté de participer à l’étude, soit 23 élèves-athlètes de première secondaire inscrits au programme sport-études soccer et 30 élèves-athlètes de première secondaire inscrits au programme multisports-études. Les élèves-athlètes étaient tous âgés de 11 à 13 ans. Treize épreuves standardisées d’aptitudes physiques et motrices ont été administrées aux élèves-athlètes des deux programmes sportifs en début, en milieu et en fin d’année scolaire. Le traitement des données s’est effectué à l’aide de statistiques descriptives et d’une analyse de variance à mesures répétées. Les résultats révèlent que (a) l’ensemble des aptitudes physiques et motrices des élèves-athlètes des deux programmes sportifs se sont améliorées au cours de l’année scolaire, (b) il est relativement facile de faire un parallèle entre l’évolution des aptitudes physiques et motrices des élèves-athlètes et la planification annuelle de chaque programme sportif, (c) les élèves-athlètes du programme multisports-études ont, en général, des performances semblables à celles des élèves-athlètes du programme sport-études soccer et (d) les élèves-athlètes du programme sport-études soccer ont, au cours de l’année scolaire, amélioré davantage leur endurance cardiorespiratoire, alors que ceux du programme multisports-études ont amélioré davantage (a) leur vitesse segmentaire des bras, (b) leur agilité à l’épreuve de course en cercle et (c) leur puissance musculaire des membres inférieurs, confirmant ainsi que les aptitudes physiques et motrices développées chez de jeunes athlètes qui se spécialisent tôt sont plutôt spécifiques au sport pratiqué (Balyi et al., 2005; Bompa, 1999; Cloes, Delfosse, Ledent et Piéron, 1994; Mattson et Richards, 2010), alors que celles développées à travers la diversification sportive sont davantage diversifiées (Coakley, 2010; Gould et Carson, 2004; White et Oatman, 2009). Ces résultats peuvent s’expliquer par (a) la spécificité ou la diversité des tâches proposées durant les séances d’entrainement, (b) le temps consacré à chacune de ces tâches et (c) les exigences reliées à la pratique du soccer comparativement aux exigences reliées à la pratique de plusieurs disciplines sportives. Toutefois, les résultats obtenus restent complexes à interpréter en raison de différents biais : (a) la maturation physique, (b) le nombre d’heures d’entrainement effectué au cours de l’année scolaire précédente, (c) le nombre d’heures d’entrainement offert par les deux programmes sportifs à l’étude et (d) les activités physiques et sportives pratiquées à l’extérieur de l’école. De plus, cette étude ne permet pas d’évaluer la qualité des interventions et des exercices proposés lors des entrainements ni la motivation des élèves-athlètes à prendre part aux séances d’entrainement ou aux épreuves physiques et motrices. Finalement, il serait intéressant de reprendre la présente étude auprès de disciplines sportives différentes et de mettre en évidence les contributions particulières de chaque discipline sportive sur le développement des aptitudes physiques et motrices de jeunes athlètes.
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La programmation par contraintes est une technique puissante pour résoudre, entre autres, des problèmes d’ordonnancement de grande envergure. L’ordonnancement vise à allouer dans le temps des tâches à des ressources. Lors de son exécution, une tâche consomme une ressource à un taux constant. Généralement, on cherche à optimiser une fonction objectif telle la durée totale d’un ordonnancement. Résoudre un problème d’ordonnancement signifie trouver quand chaque tâche doit débuter et quelle ressource doit l’exécuter. La plupart des problèmes d’ordonnancement sont NP-Difficiles. Conséquemment, il n’existe aucun algorithme connu capable de les résoudre en temps polynomial. Cependant, il existe des spécialisations aux problèmes d’ordonnancement qui ne sont pas NP-Complet. Ces problèmes peuvent être résolus en temps polynomial en utilisant des algorithmes qui leur sont propres. Notre objectif est d’explorer ces algorithmes d’ordonnancement dans plusieurs contextes variés. Les techniques de filtrage ont beaucoup évolué dans les dernières années en ordonnancement basé sur les contraintes. La proéminence des algorithmes de filtrage repose sur leur habilité à réduire l’arbre de recherche en excluant les valeurs des domaines qui ne participent pas à des solutions au problème. Nous proposons des améliorations et présentons des algorithmes de filtrage plus efficaces pour résoudre des problèmes classiques d’ordonnancement. De plus, nous présentons des adaptations de techniques de filtrage pour le cas où les tâches peuvent être retardées. Nous considérons aussi différentes propriétés de problèmes industriels et résolvons plus efficacement des problèmes où le critère d’optimisation n’est pas nécessairement le moment où la dernière tâche se termine. Par exemple, nous présentons des algorithmes à temps polynomial pour le cas où la quantité de ressources fluctue dans le temps, ou quand le coût d’exécuter une tâche au temps t dépend de t.
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A structural time series model is one which is set up in terms of components which have a direct interpretation. In this paper, the discussion focuses on the dynamic modeling procedure based on the state space approach (associated to the Kalman filter), in the context of surface water quality monitoring, in order to analyze and evaluate the temporal evolution of the environmental variables, and thus identify trends or possible changes in water quality (change point detection). The approach is applied to environmental time series: time series of surface water quality variables in a river basin. The statistical modeling procedure is applied to monthly values of physico- chemical variables measured in a network of 8 water monitoring sites over a 15-year period (1999-2014) in the River Ave hydrological basin located in the Northwest region of Portugal.
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There are two main aims of the paper. The first one is to extend the criterion for the precompactness of sets in Banach function spaces to the setting of quasi-Banach function spaces. The second one is to extend the criterion for the precompactness of sets in the Lebesgue spaces $L_p(\Rn)$, $1 \leq p < \infty$, to the so-called power quasi-Banach function spaces.
These criteria are applied to establish compact embeddings of abstract Besov spaces into quasi-Banach function spaces. The results are illustrated on embeddings of Besov spaces $B^s_{p,q}(\Rn)$, $0to Lorentz-type spaces.
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Due to increasing integration density and operating frequency of today's high performance processors, the temperature of a typical chip can easily exceed 100 degrees Celsius. However, the runtime thermal state of a chip is very hard to predict and manage due to the random nature in computing workloads, as well as the process, voltage and ambient temperature variability (together called PVT variability). The uneven nature (both in time and space) of the heat dissipation of the chip could lead to severe reliability issues and error-prone chip behavior (e.g. timing errors). Many dynamic power/thermal management techniques have been proposed to address this issue such as dynamic voltage and frequency scaling (DVFS), clock gating and etc. However, most of such techniques require accurate knowledge of the runtime thermal state of the chip to make efficient and effective control decisions. In this work we address the problem of tracking and managing the temperature of microprocessors which include the following sub-problems: (1) how to design an efficient sensor-based thermal tracking system on a given design that could provide accurate real-time temperature feedback; (2) what statistical techniques could be used to estimate the full-chip thermal profile based on very limited (and possibly noise-corrupted) sensor observations; (3) how do we adapt to changes in the underlying system's behavior, since such changes could impact the accuracy of our thermal estimation. The thermal tracking methodology proposed in this work is enabled by on-chip sensors which are already implemented in many modern processors. We first investigate the underlying relationship between heat distribution and power consumption, then we introduce an accurate thermal model for the chip system. Based on this model, we characterize the temperature correlation that exists among different chip modules and explore statistical approaches (such as those based on Kalman filter) that could utilize such correlation to estimate the accurate chip-level thermal profiles in real time. Such estimation is performed based on limited sensor information because sensors are usually resource constrained and noise-corrupted. We also took a further step to extend the standard Kalman filter approach to account for (1) nonlinear effects such as leakage-temperature interdependency and (2) varying statistical characteristics in the underlying system model. The proposed thermal tracking infrastructure and estimation algorithms could consistently generate accurate thermal estimates even when the system is switching among workloads that have very distinct characteristics. Through experiments, our approaches have demonstrated promising results with much higher accuracy compared to existing approaches. Such results can be used to ensure thermal reliability and improve the effectiveness of dynamic thermal management techniques.
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International audience
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Dendritic Cells (DCs) are innate immune system cells which have the power to activate or suppress the immune system. The behaviour of human DCs is abstracted to form an algorithm suitable for anomaly detection. We test this algorithm on the real-time problem of port scan detection. Our results show a significant difference in artificial DC behaviour for an outgoing portscan when compared to behaviour for normal processes.