Techno‐economic analysis of a stand‐alone photovoltaic system with three different storage systems for feeding isolated houses in south Algeria

Ammari, Chouaib; Belatrache, Djamel; Makhloufi, Salim; Saifi, Nadia

doi:10.1002/est2.211

Cited by 6 publications

(6 citation statements)

References 19 publications

(28 reference statements)

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“…The techno-economic analysis of solar PV system with LA, Li-Ion, and hydrogen storage to supply the demand of isolated village is discussed in another work. 21 The analysis reported reveals that the hydrogen storage is the one that provides due to low excess energy with no unmet load. The study identifies the major challenges of battery energy storage system application with battery charging and discharging strategy along with battery connection, efficiency of conversion, and battery lifetime.…”

Section: Introductionmentioning

confidence: 98%

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Effects of different batteries and dispatch strategies on performance of standalonePV/WT/DG/battery system: A case study

et al. 2021

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The idea of integrated hybrid renewable energy systems (IHRES) is gaining attention for electrification of rural areas where on-grid electricity supply is uneconomical. From this point of view, the technical and economic feasibility analysis is carried out for a standalone IHRES in a remote area of Malnad region in Karnataka, India. Solar and wind energy are the prominent renewable resources available in the selected area for study. In the present study, lithium-ion, lead-acid and zinc-bromide batteries effect on "PV-WT-DG-Battery" system is examined and compared. The control strategies used in the study are "load following (LF)" and "predictive dispatch (PD)." The simulation results reveal that the "cost of energy (COE)" and "net present cost (NPC)" are found to be low in zinc-bromide batterybased system with "PD control strategy." The NPC and COE are found to be $55 262 and $0.35 per kWh for optimal system. Zinc-bromide batteries are best suited for remote electrification with less load demand. The sensitivity analysis shows that there is a minimal effect on the performance of the planned IHRES upon variation in the "inflation rate," "discount rate," and "diesel price."HOMER, integrated hybrid renewable energy system, load following, predictive dispatch, zinc-bromide battery

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Section: Introductionmentioning

confidence: 98%

“…The techno‐economic analysis of solar PV system with LA, Li‐Ion, and hydrogen storage to supply the demand of isolated village is discussed in another work 21 . The analysis reported reveals that the hydrogen storage is the one that provides due to low excess energy with no unmet load.…”

Section: Introductionmentioning

confidence: 99%

Effects of different batteries and dispatch strategies on performance of standalonePV/WT/DG/battery system: A case study

et al. 2021

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“…Invented by Gaston Planté in 1859, the lead‐acid battery (LaB) (the maximum open‐circuit voltage for a cell is 2.041 V) is still the most usually used globally due to its low cost, easy manufacturing, and good recyclability 1 . Battery cycling is the most critical aspect of its operation in a photovoltaic system 2 . During the daily cycle, the battery is charged all day and discharged by the night‐time load 3,4 .…”

Section: Introductionmentioning

confidence: 99%

Optimal parameters identification strategy of a lead acid battery model for photovoltaic applications

et al. 2022

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Extracting the parameters of a lead‐acid battery under real‐world operating conditions is a significant part of solar photovoltaic (PV) engineering. Usually, the battery management system handles the battery system based on its model. However, its model's parameters can change due to its electrochemical nature. Hence, enhancing the model parameters' accuracy is required to achieve a reliable and accurate model. This research employs an improved methodology for extracting lead‐acid battery data outdoors. The suggested method combines numerical and analytical formulations of parametric battery models for solar PV energy storage. The Shepherd model, which considers the battery's non‐linear properties, is selected in this paper. Based on a modern meta‐heuristic marine predator algorithm, the parameters of two solar lead‐acid batteries are discovered using an optimal parameter identification technique (MPA). The MPA exhibits its capability in terms of fast convergence and accuracy. The acquired test results are compared to those produced by the salp swarm algorithm, artificial eco‐system optimizer, hunger games search, a new optimization meta‐heuristic method that inspires the behavior of the swarm of birds called COOT, and honey badger algorithm in terms of efficiency, convergence speed, and identification accuracy. The findings demonstrated that the MPA outperformed the other optimizers in identifying ability. This optimizer achieved 99.99% identification efficiency for both Bergan and Banner battery types, making it an excellent battery identification option.

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“…Furthermore, they suggested that combining hydrogen technology components instead of a battery component is feasible. Ammari et al 45 compared three different storage types, which were utilized to supply energy for the basic household needs in an isolated village in Algeria. The three storage types were lead‐acid, lithium‐ion batteries, and hydrogen storage.…”

Section: Introductionmentioning

confidence: 99%

Feasibility evaluation of Stand‐Alone energy solutions in Energy‐Poor Islands using sustainable hydrogen production

Amirsoleymani

Babaei

Ajarostaghi

et al. 2022

Intl J of Energy Research

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Summary The current research presents a techno‐economic feasibility analysis of the stand‐alone hydrogen‐based configurations to electrify three poor‐energy islands located to the east of Canada (Pelee, Wolfe, and Saint Pierre Islands). The proposed procedure explores the possibility of various hybrid energy systems, including wind turbine, electrolyzer, hydrogen tank, diesel generator, fuel cell, supercapacitor, and converter, considering two main scenarios; Scenario I: with diesel and Scenario II: without diesel. The real‐time field data of wind speed, outside air temperature, load demand, and diesel price during 8760 hr in a year have been used. The optimization results favored scenario I in Saint Pierre Island, which utilizes 133 wind turbines, 600 kg hydrogen tanks, 600 kW electrolyzer, 200 kW diesel generator, 100 kW fuel cell, 363 701 supercapacitor units, and 252 kW converter. This combination has $0.68 M (16%) and $2 M (36%) lower the net present cost (NPC), as well as $0.059/kWh (19%) and $0.175/kWh (36%) lower the levelized cost of electricity than scenario I in Pelee Island and Wolfe Island, respectively. Among solutions from scenario I, the cleanest case is found in Saint Pierre Island by having four‐ and three‐times lower emissions than options in Wolfe Island and Pelee Island, respectively. The economic indicators are highly dependent on the capital cost fluctuations of supercapacitor and wind turbines than other components. Sensitivity analysis highlighted that the lowest values of the NPC are seen under the inflation rate of 2% within 10 to 16 m/s wind speed and 14% inflation rate within 12 to 15 m/s wind speed. The effects of timestep fluctuation revealed that optimizing solutions within samples in intervals greater than 30 min is recommended.

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Techno‐economic analysis of a stand‐alone photovoltaic system with three different storage systems for feeding isolated houses in south Algeria

Cited by 6 publications

References 19 publications

Effects of different batteries and dispatch strategies on performance of standalonePV/WT/DG/battery system: A case study

Effects of different batteries and dispatch strategies on performance of standalonePV/WT/DG/battery system: A case study

Optimal parameters identification strategy of a lead acid battery model for photovoltaic applications

Feasibility evaluation of Stand‐Alone energy solutions in Energy‐Poor Islands using sustainable hydrogen production

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