Thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural network
Abstract 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 × 40 mm × 3.6 mm....
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-01-01
|
| Series: | International Journal of Air-Conditioning and Refrigeration |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44189-025-00068-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832585645347831808 |
|---|---|
| author | Hichem Ykrelef Younes Chiba Mounir Zirari Ahmed Benyekhlef Abdelali Boukaoud Djamel Sebbar Abdelkrim Kherkhar Hayati Mamur |
| author_facet | Hichem Ykrelef Younes Chiba Mounir Zirari Ahmed Benyekhlef Abdelali Boukaoud Djamel Sebbar Abdelkrim Kherkhar Hayati Mamur |
| author_sort | Hichem Ykrelef |
| collection | DOAJ |
| description | Abstract 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 × 40 mm × 3.6 mm. After a series of measurements, the device temperature decreased from an ambient temperature of 19.6 °C to 1.6 °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 (R 2). |
| format | Article |
| id | doaj-art-7b3dce47e922424c8d046856617a804b |
| institution | Kabale University |
| issn | 2010-1333 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Air-Conditioning and Refrigeration |
| spelling | doaj-art-7b3dce47e922424c8d046856617a804b2025-01-26T12:39:36ZengSpringerInternational Journal of Air-Conditioning and Refrigeration2010-13332025-01-0133111310.1007/s44189-025-00068-0Thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural networkHichem Ykrelef0Younes Chiba1Mounir Zirari2Ahmed Benyekhlef3Abdelali Boukaoud4Djamel Sebbar5Abdelkrim Kherkhar6Hayati Mamur7LERM, Renewable Energies and Materials Laboratory, University of MedeaLERM, Renewable Energies and Materials Laboratory, University of MedeaLERM, Renewable Energies and Materials Laboratory, University of MedeaLERM, Renewable Energies and Materials Laboratory, University of MedeaLaboratoire de Physique Des Techniques Expérimentales Et Ses Applications, University of MedeaLaboratoire de Physique Des Techniques Expérimentales Et Ses Applications, University of MedeaLERM, Renewable Energies and Materials Laboratory, University of MedeaDepartment of Electrical and Electronics Engineering, Manisa Celal Bayar UniversityAbstract 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 × 40 mm × 3.6 mm. After a series of measurements, the device temperature decreased from an ambient temperature of 19.6 °C to 1.6 °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 (R 2).https://doi.org/10.1007/s44189-025-00068-0Artificial neural networksPeltier effectThermoelectric refrigeratorExperimental studyPerformance coefficient |
| spellingShingle | Hichem Ykrelef Younes Chiba Mounir Zirari Ahmed Benyekhlef Abdelali Boukaoud Djamel Sebbar Abdelkrim Kherkhar Hayati Mamur Thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural network International Journal of Air-Conditioning and Refrigeration Artificial neural networks Peltier effect Thermoelectric refrigerator Experimental study Performance coefficient |
| title | Thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural network |
| title_full | Thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural network |
| title_fullStr | Thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural network |
| title_full_unstemmed | Thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural network |
| title_short | Thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural network |
| title_sort | thermal design of a thermoelectric refrigerator operating near room temperature using artificial neural network |
| topic | Artificial neural networks Peltier effect Thermoelectric refrigerator Experimental study Performance coefficient |
| url | https://doi.org/10.1007/s44189-025-00068-0 |
| work_keys_str_mv | AT hichemykrelef thermaldesignofathermoelectricrefrigeratoroperatingnearroomtemperatureusingartificialneuralnetwork AT youneschiba thermaldesignofathermoelectricrefrigeratoroperatingnearroomtemperatureusingartificialneuralnetwork AT mounirzirari thermaldesignofathermoelectricrefrigeratoroperatingnearroomtemperatureusingartificialneuralnetwork AT ahmedbenyekhlef thermaldesignofathermoelectricrefrigeratoroperatingnearroomtemperatureusingartificialneuralnetwork AT abdelaliboukaoud thermaldesignofathermoelectricrefrigeratoroperatingnearroomtemperatureusingartificialneuralnetwork AT djamelsebbar thermaldesignofathermoelectricrefrigeratoroperatingnearroomtemperatureusingartificialneuralnetwork AT abdelkrimkherkhar thermaldesignofathermoelectricrefrigeratoroperatingnearroomtemperatureusingartificialneuralnetwork AT hayatimamur thermaldesignofathermoelectricrefrigeratoroperatingnearroomtemperatureusingartificialneuralnetwork |