Examinando por Materia "Digital storage"

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    Advanced fuzzy-logic-based context-driven control for HVAC management systems in buildings
    (Institute of Electrical and Electronics Engineers Inc., 2020-01-01) Morales Escobar L.; Aguilar J.; Garces-Jimenez A.; Gutierrez De Mesa J.A.; Gomez-Pulido J.M.; Morales Escobar L.; Aguilar J.; Garces-Jimenez A.; Gutierrez De Mesa J.A.; Gomez-Pulido J.M.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    Control in HVAC (heating, ventilation and air-conditioning) systems of buildings is not trivial, and its design is considered challenging due to the complexity in the analysis of the dynamics of its nonlinear characteristics for the identification of its mathematical model. HVAC systems are complex since they consist of several elements, such as heat pumps, chillers, valves, heating/cooling coils, boilers, air-handling units, fans, liquid/air distribution systems, and thermal storage systems. This article proposes the application of LAMDA (learning algorithm for multivariable data analysis) for advanced control in HVAC systems for buildings. LAMDA addresses the control problem using a fuzzy classification approach without requiring a mathematical model of the plant/system. The method determines the degree of adequacy of a system for every class and subsequently determines its similarity degree, and it is used to identify the functional state or class of the system. Then, based on a novel inference method that has been added to LAMDA, a control action is computed that brings the system to a zero-error state. The LAMDA controller performance is analyzed via evaluation on a regulation problem of an HVAC system of a building, and it is compared with other similar approaches. According to the results, our method performs impressively in these systems, thereby leading to a trustable model for the implementation of improved building management systems. The LAMDA control performs very well for disturbances by proposing control actions that are not abrupt, and it outperforms the compared approaches. © 2013 IEEE.
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    E-bikes for steep roads: Mid drive and hub drive motor efficiency comparison
    (Inderscience Enterprises Ltd., 2018-01-01) Arango, I.; Godoy, A.; Lopez, C.; Arango, I.; Godoy, A.; Lopez, C.; Universidad EAFIT. Departamento de Ingeniería Mecánica; Mecatrónica y Diseño de Máquinas
    Power input, speed, and efficiency concern people when selecting a transportation means. This study compares multiple e-bikes configurations and presents to the reader scientific criteria to choose the one that fits best for non-trained cyclists, who want to use e-bikes for everyday transportation in cities with steep roads, assuring that the cyclist takes effective part of the power input. Power development, speeds, energy consumption and efficiency result from a mathematical model and experimental data. Configurations vary in motor placement, assistance level, cyclist cadence, wheel type and transmission sets. Results indicate that the motor's placement is the most determining factor in the efficiency of the entire system. Placing the motor in the bottom bracket, allows both the cyclist and the motor to range in the most efficient rpm. As efficiency for the middle drive motor is higher than the hub drive motor, energy consumption in the hub drive motor is 18% higher. Copyright © 2018 Inderscience Enterprises Ltd.
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    Procedure to determine module distribution within a solar array to increase the net energy collection in a solar competition vehicle
    (SPIE-INT SOC OPTICAL ENGINEERING, 2014-01-01) Suarez-Castaneda, Nicolas; Gil-Herrera, Ana; Barrera-Velásquez, J.; Osorio-Gomez, Gilberto; Mejia-Gutierrez, Ricardo
    In solar vehicle competition, the available space for installation of the solar panel in the car is limited. In order to optimize space, it is difficult not to install solar modules in areas impacted by shadows, even if they cause reduction of efficiency in the overall photoelectric generation. Shadow patterns arise from the relative position of the sun to the earth, and the relative position of the vehicle towards both of them. Since vehicle, earth and sun are moving in semi-predictable patterns, computer simulations can cross and match data from such sources to forecast generation behavior. The outputs of such simulations are shadow patterns on the surface of the vehicle, indicating locations that are suitable or unsuitable to install solar cells. This paper will show the design procedure of the solar panel for a Challenger Class solar vehicle that participated in the World Solar Challenge 2013, intended to increase the net energy collection. The results obtained, illustrate how the employment of a computational tool can help in the acquisition of both qualitative and quantitative information, related to shadows position and their impact on energy collection. With data inputs such as vehicle geometry and its relative position towards the route, the tool was used to evaluate different possible configurations of solar panel module distribution and select the ones that are more convenient to the given scenario. Therefore, this analysis allows improving the solar panel design by considering important variables that were often overlooked. © 2014 SPIE.