Performance analysis of a stand-alone hybrid energy system for desalination unit in Egypt

Ibrahim, Mukdad; Mostafa, Nabil H.; Osman, Ahmed; Hesham, Ahmed

doi:10.1016/j.enconman.2020.112941

Cited by 56 publications

(12 citation statements)

References 32 publications

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“…The results suggested that the system with vanadium redox flow storages would impose a lower NPC and LCOE. Ibrahim et al [22] assessed two different combinations of off-grid hybrid systems for supplying a water treatment plant with electricity in Egypt. The first one comprised a PV system, wind turbine, diesel generator, and battery, while the other included a hydrokinetic turbine instead of a wind turbine.…”

Section: Literature Reviewmentioning

confidence: 99%

Techno-Economic Assessment of a Grid-Independent Hybrid Power Plant for Co-Supplying a Remote Micro-Community with Electricity and Hydrogen

et al. 2021

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This study investigates the techno-economic feasibility of an off-grid integrated solar/wind/hydrokinetic plant to co-generate electricity and hydrogen for a remote micro-community. In addition to the techno-economic viability assessment of the proposed system via HOMER (hybrid optimization of multiple energy resources), a sensitivity analysis is conducted to ascertain the impact of ±10% fluctuations in wind speed, solar radiation, temperature, and water velocity on annual electric production, unmet electricity load, LCOE (levelized cost of electricity), and NPC (net present cost). For this, a far-off village with 15 households is selected as the case study. The results reveal that the NPC, LCOE, and LCOH (levelized cost of hydrogen) of the system are equal to $333,074, 0.1155 $/kWh, and 4.59 $/kg, respectively. Technical analysis indicates that the PV system with the rated capacity of 40 kW accounts for 43.7% of total electricity generation. This portion for the wind turbine and the hydrokinetic turbine with nominal capacities of 10 kW and 20 kW equates to 23.6% and 32.6%, respectively. Finally, the results of sensitivity assessment show that among the four variables only a +10% fluctuation in water velocity causes a 20% decline in NPC and LCOE.

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Section: Literature Reviewmentioning

confidence: 99%

Techno-Economic Assessment of a Grid-Independent Hybrid Power Plant for Co-Supplying a Remote Micro-Community with Electricity and Hydrogen

et al. 2021

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“…The NPV of the system of the system is found by equation 11. The discount rate was taken to be 7% of Pakistan 3 and the project life was taken to be 25 years [32], inverter life was taken to be 15 years [33] and battery life was taken to be 5 years [19]. The electricity rate from the local grid is USD 0.13/kWh.…”

Section: F I G 7 Regression Correlation Between Energy Demand and Battery Capacitymentioning

confidence: 99%

Designing of an off-grid Photovoltaic system with battery storage for remote location

et al. 2021

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Off-grid Photovoltaic (PV) system along with battery storage is very effective solution for electrification in remote areas. However, battery capacity selection is the most challenging task in system designing. In this study, an off-grid PV system along with battery storage is designed for the remote area of Karachi, Pakistan. The system is designed by considering the maximum energy requirement in summer season. The battery storage is selected to fulfill the energy demand during the night and cloudy seasons. On the basis of load, a total of 6 kW system is required to fulfill the energy demand. For such system, 925 Ah of battery is required to meet the energy requirement for a day in absence of solar irradiation. A regression-based correlation between battery capacity and energy demand is prepared for suitable battery sizing using Minitab. An economic analysis of the project is also carried out from which a net present value and simple payback are determined as USD 10,348 and 3 years, respectively. The environmental benefits are also been determined. It is found that the system will reduce around 7.32 tons of CO2 per annum which corresponds to the 183.69 tons of CO2 not produced in the entire project life.

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“…A promising solution is to further enhance the supply of freshwater by the desalination of brackish water, seawater, and wastewater reuse. In the past decade, the establishment of seawater desalination plants in the world has grown rapidly as a means of increasing water supply in countries with water problems 4–6 …”

Section: Introductionmentioning

confidence: 99%

“…In the past decade, the establishment of seawater desalination plants in the world has grown rapidly as a means of increasing water supply in countries with water problems. [4][5][6] Today, due to the feasibility of Reverse Osmosis (RO) desalination systems which are demonstrated with some complex systems, reverse osmosis membranes are the leading technologies for new desalination plants, and they are applied to a variety of saltwater resources using the pretreatment design and a suitable membrane system. [7][8][9][10] RO desalination requires much more energy than a typical treatment of surface water.…”

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confidence: 99%

Design of water‐energy management based on neural networks for an autonomous solar and wind renewable energy system coupled with brackish water desalination

Zgalmi

Cherif

2022

Env Prog and Sustain Energy

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In this article, smart water-energy management based on an artificial neural network for a photovoltaic-wind system coupled with water pumping and reverse osmosis desalination unit with hydraulic storage is developed. The proposed system was designed to meet freshwater demand for remote areas of Tunisia's south. The authors focus on an artificial neural network-type management strategy, ensuring power-sharing between sources, hydraulic components, and tank storage. The main objective of the management strategy is to deliver and purify as much freshwater as possible by taking advantage of all the energy available according to climatic conditions. A parametric sensitivity algorithm is developed to find the most appropriate neural network architecture. A dynamic simulator for 1 year of operation integrates the energy management of the system is developed. The used water-energy management-based artificial neural network showed good results of power-sharing during a fast time with a correlation coefficient and a coefficient of determination between the actual and estimated values of the three motor pumps electrical power equal to 96% and 98%, respectively. Also, the root mean squared error was acceptable at 0.1476. These results have been proved over a year and can be used by other researchers with a similar system.

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Performance analysis of a stand-alone hybrid energy system for desalination unit in Egypt

Cited by 56 publications

References 32 publications

Techno-Economic Assessment of a Grid-Independent Hybrid Power Plant for Co-Supplying a Remote Micro-Community with Electricity and Hydrogen

Techno-Economic Assessment of a Grid-Independent Hybrid Power Plant for Co-Supplying a Remote Micro-Community with Electricity and Hydrogen

Designing of an off-grid Photovoltaic system with battery storage for remote location

Design of water‐energy management based on neural networks for an autonomous solar and wind renewable energy system coupled with brackish water desalination

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