Browsing by Author "Chiba, Y"

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    Thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural network
    Ykrelef, H; Chiba, Y; Zirari, M; Benyekhlef, A; Boukaoud, A; Sebbar, D; Kherkhar, A; Mamur, H
    The current study aimed to design and test a prototype of a thermoelectric cooler (TEC) using thermoelectric modules (TEM) operating near room temperature. The thermoelectric cooler utilized in this investigation has a maximum cooling power of 46 W and dimensions of 40 mm x 40 mm x 3.6 mm. After a series of measurements, the device temperature decreased from an ambient temperature of 19.6 degrees C to 1.6 degrees C, with a notable coefficient of performance around 0.9, achieved through the utilization of both serial and parallel connections. The secondary objective of this research was based on an artificial neural network (ANN) approach. An ANN model was constructed using an experimental database acquired from our thermoelectric refrigeration device. The input parameters of humidity, time, performance coefficient, cooling power, and heat dissipation were introduced into the model to enhance the cold temperature as the output. Using a multilayer perceptron (MLP), the experimental dataset was used for training, testing, and validating the ANN. The precision of the model was evaluated using three established statistical metrics: mean squared error (MSE), mean absolute percentage error (MAPE), and R-squared (R2).
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    Thermal investigation of a thermoelectric cooler based on Arduino and PID control approach
    Kherkhar, A; Chiba, Y; Tlemçani, A; Mamur, H
    In this study, an experimental and numerical approach is used in order to evaluate the thermoelectric cooler (TEC) control performance and efficiency. For this purpose, the refrigeration system is designed by using the semi-conductor material operating under Peltier effect, and Arduino device. The efficiency of the system is investigated through the performance coefficient and temperature span for carrier fluid between the hot and cold exchanger by using the prototype developed recently at Medea University. In addition, the proportional-integral-derivative (PID) is used in order to maintain temperature control and heat transfer of the system TEC in a closed-loop through the driving circuit, which is specially designed for the TEC can conveniently adjust the input current, which passes through the refrigerator so as to fully make use of quick cooling power advantages. The main obtained results including, the maximum coefficient of performance registered is 0.73 to 0.1 with a temperature span about of 51 degrees C, by inputting current of 5 A within a control temperature range 0-30 degrees C, while targeting a temperature of 5 degrees C at mom temperature for the proposed control system had a control time of 21 s, with only a discrepancy of +/- 0.1 degrees C. The experimental results confirm that during the time interval 0-20 min, the inside temperature of thermoelectric refrigerator has been decreased rate of 1.5 degrees C/min. It was shown through the different simulation results with PID controller by taking k(p) = 0.9, k(j) = 0.15, and k(d) = 0, that the cooling temperature decreases over time to 5 degrees C, which means that these systems work in time-dependent conditions. The proposed controller is able to reach an error of 0.1 degrees C with minimal overshoot under than 20 s.
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    Selection of Load Resistance for Boost Converters with Maximum Power Point Tracking Algorithm in Thermoelectric Generators
    Üstüner, MA; Mamur, H; Taskin, S; Nil, M; Bhuiyan, MRA; Kherkhar, A; Chiba, Y
    Thermoelectric generators (TEGs) face challenges in efficiently converting waste heat into electrical energy. To enhance their performance, converters are employed, with the crucial feature being the implementation of the maximum power point tracking (MPPT) algorithm. However, the efficiency of the MPPT software in tracking the maximum power point (MPP) is influenced by the load connected to the converter's output, necessitating the determination of an appropriate load range. The primary objective of this study is to identify an acceptable load range for an isolated DC-DC boost converter used in MPPT within an installed TEG system. The methodology includes building a Simulink/MATLAB model based on TEG manufacturer data, designing a DC-DC boost converter with embedded MPPT algorithms, and conducting simulations and experiments at various load range values. Simulations and experimental studies reveal that the effectiveness of algorithms in tracking the MPP is optimized when the load resistance is between the TEG's internal resistance and three times this value. Below the internal resistance, the MPP cannot be tracked, while at high load values, the MPP significantly decreases. This underscores the critical role of load resistance selection in optimizing TEG system performance during MPPT applications.