2013
DOI: 10.1016/j.egypro.2013.07.121
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Optimal Operational Strategy of Hybrid Renewable Energy System for Rural Electrification of a Remote Algeria

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Cited by 17 publications
(6 citation statements)
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“…Koussa et al [17], Said et al [18] and Hassiba et al [19] have carried out research on PVwind hybrid system for rural electrification in Algerian context. Nagan and Tan [20] analyzes the potential of implementation of hybrid PV-wind-diesel system in southern city of Malaysia, Johor Bahru.…”
Section: Brief Literature Reviewmentioning
confidence: 98%
“…Koussa et al [17], Said et al [18] and Hassiba et al [19] have carried out research on PVwind hybrid system for rural electrification in Algerian context. Nagan and Tan [20] analyzes the potential of implementation of hybrid PV-wind-diesel system in southern city of Malaysia, Johor Bahru.…”
Section: Brief Literature Reviewmentioning
confidence: 98%
“…Ada banyak faktor yang menentukan efisiensi dari sistem desalinasi dengan menggunakan energi terbarukan. Potensi energi matahari dan energi angin di area eksperiment, serta level salinitas air laut yang menjadi input proses akan menentukan optimasi dari kualitas air tawar keluaran [7].…”
Section: Pendahuluanunclassified
“…The role of energy management and the role of numerous possible strategies have been presented in [51]. In another study, by Hassiba et al, the team proposed an optimal operational strategy [52], while Saheb-Koussa [50] presented a wind/PV/diesel hybrid system for Algeria with battery backup. From these studies, it is understood that hybrid energy systems are the most suitable options.…”
Section: Global Renewable Energy Scenario: Policy Framework and Currementioning
confidence: 99%
“…A few such projects conducted for Bangladesh location are discussed in [53,54]. Chowdhury et al [52] indicated that the "mini-grid could be a useful tool to achieve the Sustainable Energy Access for All (SEforALL)" [55] goals as the proposed hybrid mini-grid system is technically and economically viable for Bangladesh.…”
Section: Global Renewable Energy Scenario: Policy Framework and Currementioning
confidence: 99%