Optimization of Stirling generator for the production of electric energy using non-aggregate methods
The electrification policy adopted by many countries called “off-grid electrification”, consists of producing electrical energy where it is consumed from renewable sources. Among the methods of converting thermal energy into electricity, hot air engines (Stirling type) occupy a dominant place becaus...
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Elsevier
2025-03-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2468227625000110 |
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author | Victor Zogbochi Patrice Koffi Chetangny Mawuena Medewou Sossou Houndedako Gerald Barbier Didier Chamagne |
author_facet | Victor Zogbochi Patrice Koffi Chetangny Mawuena Medewou Sossou Houndedako Gerald Barbier Didier Chamagne |
author_sort | Victor Zogbochi |
collection | DOAJ |
description | The electrification policy adopted by many countries called “off-grid electrification”, consists of producing electrical energy where it is consumed from renewable sources. Among the methods of converting thermal energy into electricity, hot air engines (Stirling type) occupy a dominant place because they find their applications both in the renewable energy sector and in the recovery of waste heat. The aim of this work is to develop an optimal model of a generator consisting of a Stirling engine and an axial flux permanent magnet generator which will be easily displaceable and adapted to all hot primary sources. The β type Stirling engine is considered in this research. The objective is to design a compact mobile machine, accessible to households and capable of producing a minimum electric power of 2 kW under a temperature difference ∆T ≤ 1000 ° K. The artificial Bee Swarm Optimization Algorithm is used to determine the optimal mechanical power of the Stirling engine. This power constitutes the input variable of the generator model to determine the electrical power and the overall efficiency of the generator set. The results proved that for a temperature difference (∆T) of 600°K between the hot and cold heads, we obtain an electrical power of 4 kW corresponding to an overall efficiency of 31 %. The effect of hot head temperature variation and cylinder volume ratio where also considered for the global performance of the generator. |
format | Article |
id | doaj-art-4106e0a82ea14e3aa873d890a629cc1a |
institution | Kabale University |
issn | 2468-2276 |
language | English |
publishDate | 2025-03-01 |
publisher | Elsevier |
record_format | Article |
series | Scientific African |
spelling | doaj-art-4106e0a82ea14e3aa873d890a629cc1a2025-01-31T05:12:08ZengElsevierScientific African2468-22762025-03-0127e02540Optimization of Stirling generator for the production of electric energy using non-aggregate methodsVictor Zogbochi0Patrice Koffi Chetangny1Mawuena Medewou2Sossou Houndedako3Gerald Barbier4Didier Chamagne5Laboratoire d'Electrotechnique, de Télécommunications et d'informatique Appliquée, Université d'Abomey Calavi, Benin; Corresponding author.Laboratoire d'Electrotechnique, de Télécommunications et d'informatique Appliquée, Université d'Abomey Calavi, BeninLaboratoire d'Electrotechnique, de Télécommunications et d'informatique Appliquée, Université d'Abomey Calavi, BeninLaboratoire d'Electrotechnique, de Télécommunications et d'informatique Appliquée, Université d'Abomey Calavi, BeninLaboratoire de Physique et Mécanique Textiles (LPMT), Université de Haute Alsace, Mulhouse, FranceFEMTO-ST - UMR CNRS 6174, Université de Bourgogne Franche-Comte, Belfort, FranceThe electrification policy adopted by many countries called “off-grid electrification”, consists of producing electrical energy where it is consumed from renewable sources. Among the methods of converting thermal energy into electricity, hot air engines (Stirling type) occupy a dominant place because they find their applications both in the renewable energy sector and in the recovery of waste heat. The aim of this work is to develop an optimal model of a generator consisting of a Stirling engine and an axial flux permanent magnet generator which will be easily displaceable and adapted to all hot primary sources. The β type Stirling engine is considered in this research. The objective is to design a compact mobile machine, accessible to households and capable of producing a minimum electric power of 2 kW under a temperature difference ∆T ≤ 1000 ° K. The artificial Bee Swarm Optimization Algorithm is used to determine the optimal mechanical power of the Stirling engine. This power constitutes the input variable of the generator model to determine the electrical power and the overall efficiency of the generator set. The results proved that for a temperature difference (∆T) of 600°K between the hot and cold heads, we obtain an electrical power of 4 kW corresponding to an overall efficiency of 31 %. The effect of hot head temperature variation and cylinder volume ratio where also considered for the global performance of the generator.http://www.sciencedirect.com/science/article/pii/S2468227625000110Electric generatorStirling engineNon-aggregated methodsMaximum electric power |
spellingShingle | Victor Zogbochi Patrice Koffi Chetangny Mawuena Medewou Sossou Houndedako Gerald Barbier Didier Chamagne Optimization of Stirling generator for the production of electric energy using non-aggregate methods Scientific African Electric generator Stirling engine Non-aggregated methods Maximum electric power |
title | Optimization of Stirling generator for the production of electric energy using non-aggregate methods |
title_full | Optimization of Stirling generator for the production of electric energy using non-aggregate methods |
title_fullStr | Optimization of Stirling generator for the production of electric energy using non-aggregate methods |
title_full_unstemmed | Optimization of Stirling generator for the production of electric energy using non-aggregate methods |
title_short | Optimization of Stirling generator for the production of electric energy using non-aggregate methods |
title_sort | optimization of stirling generator for the production of electric energy using non aggregate methods |
topic | Electric generator Stirling engine Non-aggregated methods Maximum electric power |
url | http://www.sciencedirect.com/science/article/pii/S2468227625000110 |
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