Volume 44, Issue 1, November 2024, Pages 125–140
Bati Ernest Boya Bi1, Ekoun Magloire Paul Koffi2, Kamenan Blaise Koua3, and Prosper Gbaha4
1 Laboratoire des Procédés Industriels, de Synthèse, de l’Environnement et des Energies Nouvelles (LAPISEN), UMRI 18, Institut National Polytechnique Félix Houphouët Boigny (INPHB), B.P. 581, Yamoussoukro, Côte d’Ivoire
2 Groupe Energies Nouvelles et renouvelables, Laboratoire de Mécanique et Sciences des Matériaux, URMI 18, Institut National Polytechnique Houphouët Boigny, B.P 1093, Yamoussoukro, Côte d’Ivoire
3 Laboratoire des Sciences de la Matière, de l’Environnement et de l’Energie Solaire, UFR SSMT, Université Félix Houphouët Boigny, 22 B.P. 582 Abidjan 22, Côte d’Ivoire
4 Laboratoire d’Energie Nouvelle et Renouvelable, Institut National Polytechnique Félix Houphouet-Boigny, BP 581, Yamoussoukro, Côte d’Ivoire
Original language: English
Copyright © 2024 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Objective: Since solar energy allows decentralized production of electricity, it can help solve the problem of electrifying isolated sites where a large number of individuals do not have access to energy. This work aims to size a multi-source system for optimal management of the energy produced. Method: We used an energy management strategy that is an algorithm, which determines at each moment the sharing of power between the different components of the system. Findings: The sizing tools allowed us to establish relationships between the powers of the components by simple rules, to define the solar power and the storage volume necessary to meet the demand of a load on a given site. Novelty: This study allowed us to set up an electrical architecture and a control strategy capable of limiting conversion losses and optimizing energy management within the system.
Author Keywords: sizing, hybrid system, management strategy, algorithm, electrical architecture.
Bati Ernest Boya Bi1, Ekoun Magloire Paul Koffi2, Kamenan Blaise Koua3, and Prosper Gbaha4
1 Laboratoire des Procédés Industriels, de Synthèse, de l’Environnement et des Energies Nouvelles (LAPISEN), UMRI 18, Institut National Polytechnique Félix Houphouët Boigny (INPHB), B.P. 581, Yamoussoukro, Côte d’Ivoire
2 Groupe Energies Nouvelles et renouvelables, Laboratoire de Mécanique et Sciences des Matériaux, URMI 18, Institut National Polytechnique Houphouët Boigny, B.P 1093, Yamoussoukro, Côte d’Ivoire
3 Laboratoire des Sciences de la Matière, de l’Environnement et de l’Energie Solaire, UFR SSMT, Université Félix Houphouët Boigny, 22 B.P. 582 Abidjan 22, Côte d’Ivoire
4 Laboratoire d’Energie Nouvelle et Renouvelable, Institut National Polytechnique Félix Houphouet-Boigny, BP 581, Yamoussoukro, Côte d’Ivoire
Original language: English
Copyright © 2024 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Objective: Since solar energy allows decentralized production of electricity, it can help solve the problem of electrifying isolated sites where a large number of individuals do not have access to energy. This work aims to size a multi-source system for optimal management of the energy produced. Method: We used an energy management strategy that is an algorithm, which determines at each moment the sharing of power between the different components of the system. Findings: The sizing tools allowed us to establish relationships between the powers of the components by simple rules, to define the solar power and the storage volume necessary to meet the demand of a load on a given site. Novelty: This study allowed us to set up an electrical architecture and a control strategy capable of limiting conversion losses and optimizing energy management within the system.
Author Keywords: sizing, hybrid system, management strategy, algorithm, electrical architecture.
How to Cite this Article
Bati Ernest Boya Bi, Ekoun Magloire Paul Koffi, Kamenan Blaise Koua, and Prosper Gbaha, “Sizing of a hybrid energy production system,” International Journal of Innovation and Applied Studies, vol. 44, no. 1, pp. 125–140, November 2024.
