Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Selma Tchoketch-Kebir"'
Autor:
Abdellah Benallal, Nawal Cheggaga, Adrian Ilinca, Selma Tchoketch-Kebir, Camelia Ait Hammouda, Noureddine Barka
Publikováno v:
Energies, Vol 17, Iss 1, p 114 (2023)
This paper introduces a novel techno-economic feasibility analysis of energy management utilizing the Homer software v3.14.5 environment for an independent hybrid microgrid. This study focuses on a school with twelve classes, classifying the electric
Externí odkaz:
https://doaj.org/article/35b42b95ec1940d08431ecfadc81b106
Autor:
Selma Tchoketch_Kebir
Publikováno v:
Revue des Énergies Renouvelables, Vol 23, Iss 1, Pp 20 – 40-20 – 40 (2020)
This paper presents a summary and comparative study of methods used for getting electrical unknown parameters of photovoltaic cells/panels. The exact parameters values are essential for precise mathematical modeling, simulation, and control of the ph
Externí odkaz:
https://doaj.org/article/35b71ebdcca7402193a98988d41beaee
Autor:
Mohamed Salah Ait Cheikh, Nawal Cheggaga, Hachemi Rahmani, Mourad Haddadi, Selma Tchoketch Kebir
Publikováno v:
Engineering Review : Međunarodni časopis namijenjen publiciranju originalnih istraživanja s aspekta analize konstrukcija, materijala i novih tehnologija u području strojarstva, brodogradnje, temeljnih tehničkih znanosti, elektrotehnike, računarstva i građevinarstva
Volume 41
Issue 3
Volume 41
Issue 3
Recently, many focuses have been done in the field of renewable energies, especially in solar photovoltaic energy. Photovoltaic generator, considered as the heart of any photovoltaic installation, exhibits sometimes malfunctions which involve degrada
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e10b0fd9a632219cd142b41ce41cafd7
https://doi.org/10.30765/er.1714
https://doi.org/10.30765/er.1714
Autor:
Khaled Touafek, Selma Tchoketch Kebir, Houria Boumaaraf, Mohamed Salah Ait-cheikh, Mohamed El-Amine Slimani, Billel Boumaaraf
Publikováno v:
Mathematics and Computers in Simulation. 167:135-154
A hybrid photovoltaic/thermal (PV/T) collector is used to produce simultaneously electrical and heat energy from solar irradiation through electrical and thermal photo-conversion processes. In this paper, a mathematical model has been developed and d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c72212aa8cb73bf0a2de2090c4905b1
https://doi.org/10.1016/j.matcom.2019.09.013
https://doi.org/10.1016/j.matcom.2019.09.013
Autor:
Gul Filiz Tchoketch Kebir, Cherif Larbes, Adrian Ilinca, Thameur Obeidi, Selma Tchoketch Kebir
Publikováno v:
Energies, Vol 11, Iss 12, p 3263 (2018)
The Maximum Power Point Tracking (MPPT) strategy is commonly used to maximize the produced power from photovoltaic generators. In this paper, we proposed a control method with a fuzzy logic approach that offers significantly high performance to get a
Externí odkaz:
https://doaj.org/article/431fc441d897424493fbbcedb2ee4ea3
Autor:
Selma Tchoketch_Kebir
This chapter presents a comprehensive study of a new hybrid method developed for obtaining the electrical unknown parameters of solar cells. The combination of a traditional method and a recent smart swarm-based optimization method is done, with a bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f476c3501130fd24b52fb593d8afe395
https://doi.org/10.5772/intechopen.93324
https://doi.org/10.5772/intechopen.93324
Publikováno v:
Sustainability
Volume 13
Issue 11
Sustainability, Vol 13, Iss 6194, p 6194 (2021)
Volume 13
Issue 11
Sustainability, Vol 13, Iss 6194, p 6194 (2021)
This paper presents an efficient neural network-based method for fault diagnosis in photovoltaic arrays. The proposed method was elaborated on three main steps: the data-feeding step, the fault-modeling step, and the decision step. The first step con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed26f4d950440d02cde4c904b87abdfa
Publikováno v:
Advances in Science, Technology and Engineering Systems, Vol 3, Iss 4, Pp 44-52 (2018)
The object of this paper is to identify the unknown electrical parameters of solar photovoltaic generators in real time, through the application of a novel suggested hybrid method. The identification process is discussed with details, about the four
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22bcefb67be28d5ec6906f21d2aa2388
https://astesj.com/v03/i04/p06/
https://astesj.com/v03/i04/p06/
Publikováno v:
Renewable Energy for Smart and Sustainable Cities ISBN: 9783030047887
This paper presents the study and the use of two smart swarm-based optimization methods for determining the electrical unknown parameters of solar photovoltaic cells. These two methods are the well-known Particle Swarm Optimization (PSO) and a recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b76493b6874993349d20891ec7212e53
https://doi.org/10.1007/978-3-030-04789-4_42
https://doi.org/10.1007/978-3-030-04789-4_42
Autor:
Cherif Larbes, Thameur Obeidi, Selma Tchoketch Kebir, Gul Filiz Tchoketch Kebir, Adrian Ilinca
Publikováno v:
Energies, Vol 11, Iss 12, p 3263 (2018)
Energies; Volume 11; Issue 12; Pages: 3263
Energies; Volume 11; Issue 12; Pages: 3263
The Maximum Power Point Tracking (MPPT) strategy is commonly used to maximize the produced power from photovoltaic generators. In this paper, we proposed a control method with a fuzzy logic approach that offers significantly high performance to get a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de17ce2f4977b17fb506586aa6396088
https://www.mdpi.com/1996-1073/11/12/3263
https://www.mdpi.com/1996-1073/11/12/3263