Techno-Economic Evaluation of the Centralized Hybrid Renewable Energy Systems for Off-Grid Rural Electrification

Khan, Amir Azam; Akhter, Pervaiz; Mufti, Gussan Maaz

doi:10.14257/ijsh.2016.10.5.07

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…[35][36][37]66,70,85,91,115,116,134], these uncertainties are at least addressed via LPSP and in another study [103] by including extreme conditions. Even more than in other studies, the results of the completely autonomous energy systems in Al-Shetwi et al [32], Khan et al [76], Kim et al [77] and Mas`ud [137] must therefore be questioned, in which only volatile energy technologies and no uncertainties are considered.…”

Section: Technologiesmentioning

confidence: 95%

“…This country classification is based on the gross national income per capita [387]. [51,92,136], Cameroon [96,127], Egypt [114], Ghana [27,29], India [30,34,[46][47][48]59,60,73,74,78,82,88,94,102,107,108,110,115,116,131,133], Indonesia [33,121], Nigeria [28,137,139], Pakistan [72,76,111] [41,58], Austria [118], Canada [39,40,106,123,145], Croatia [52,80,117], Denmark [53,...…”

Section: Spatial Resolution and Locationmentioning

confidence: 99%

“…The mean LCOEs amount to 0.41 $/kWh (black dotted line in Figure 2). Consequently, the costs in the studies of Khan et al [76] and Hosseini et al [66] are nearly average. The LCOEs in an energy system with 100% renewable energy are on average 0.42 $/kWh (0.37 $/kWh without the outlier in Askari and Ameri [35]) whereas in an energy system with conventional energy 0.39 $/kWh (0.36 $/kWh without the outlier in Shezan et al [122]) is achieved.…”

Section: Costsmentioning

confidence: 99%

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Reviewing energy system modelling of decentralized energy autonomy

Weinand

Scheller

McKenna

2020

Energy

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Research attention on decentralized autonomous energy systems has increased exponentially in the past three decades, as demonstrated by the absolute number of publications and the share of these studies in the corpus of energy system modelling literature. This paper shows the status quo and future modelling needs for research on local autonomous energy systems. A total of 359 studies are roughly investigated, of which a subset of 123 in detail. The studies are assessed with respect to the characteristics of their methodology and applications, in order to derive common trends and insights. Most case studies apply to middle-income countries and only focus on the supply of electricity in the residential sector. Furthermore, many of the studies are comparable regarding objectives and applied methods. Local energy autonomy is associated with high costs, leading to levelized costs of electricity of 0.41 $/kWh on average. By analysing the studies, many improvements for future studies could be identified: the studies lack an analysis of the impact of autonomous energy systems on surrounding energy systems. In addition, the robust design of autonomous energy systems requires higher time resolutions and extreme conditions. Future research should also develop methodologies to consider local stakeholders and their preferences for energy systems.

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Section: Technologiesmentioning

confidence: 95%

Section: Spatial Resolution and Locationmentioning

confidence: 99%

Section: Costsmentioning

confidence: 99%

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Reviewing energy system modelling of decentralized energy autonomy

Weinand

Scheller

McKenna

2020

Energy

View full text Add to dashboard Cite

show abstract

“…Using single objective optimisation technique to minimise the life cycle cost with lower power loss a sizing approach for an isolated microgrid is reported in [25]. Many studies based on HOMER software for determining the optimal sizes of various elements of energy systems for rural electrification with a real‐time EMS have been reported in [9, 13, 26–31]. A case study to determine the feasibility of satisfying electrical energy needs considering technical and economic criteria with hybrid energy systems for a medium‐size hotel on Kish Island, Iran is evaluated using HOMER in [32].…”

Section: Introductionmentioning

confidence: 99%