A fuzzy decision-making model for optimal design of solar, wind, diesel-based RO desalination integrating flow-battery and pumped-hydro storage: Case study in Baltim, Egypt

Kotb, Kotb M.; Elkadeem, M.R.; Khalil, Ahmed; Imam, Sherif M.; Hamada, Mohamed A.; Sharshir, Swellam W.; Dán, András

doi:10.1016/j.enconman.2021.113962

Cited by 88 publications

(24 citation statements)

References 59 publications

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“…1,2 With the present growth in population, it is expected that by 2025, around 3500 million people will suffer from (clean) water stress. 3,4 Substantial efforts have been applied to alleviate the clean water crisis utilizing methods such as multi-effect distillation and reverse osmosis filtration. However, these methods generally require high energy consumption and their engineering requirements have high costs, 5 which leads to other adverse ecological problems.…”

Section: Introductionmentioning

confidence: 99%

Development of a novel cellulose foam augmented with candle-soot derived carbon nanoparticles for solar-powered desalination of brackish water

Thakur

Sathyamurthy

Velraj

et al. 2022

Environ. Sci.: Nano

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Section: Introductionmentioning

confidence: 99%

Development of a novel cellulose foam augmented with candle-soot derived carbon nanoparticles for solar-powered desalination of brackish water

Thakur

Sathyamurthy

Velraj

et al. 2022

Environ. Sci.: Nano

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“…In addition, the closeness of WPPs from TLs improves the efficiency as the losses decrease and reduces the cost of constructing new TLs near the farm [30]. This minimum distance from power TLs and the power grid is considered 0.5 km in this work [33].…”

Section: Distance From Transmission Lines and Power Gridmentioning

confidence: 99%

A High-Resolution Wind Farms Suitability Mapping Using GIS and Fuzzy AHP Approach: A National-Level Case Study in Sudan

et al. 2021

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Wind energy is one of the most attractive sustainable energy resources since it has low operation, maintenance, and production costs and a relatively low impact on the environment. Identifying the optimal sites for installing wind power plants (WPPs) is considered an important challenge of wind energy development which requires careful and combined analyses of numerous criteria. This study introduces a high-resolution wind farms suitability mapping based on Fuzzy Analytical Hierarchy Process (FAHP) and Geographic Information System (GIS) approaches considering technical, environmental, social, and spatial aspects, representing eight different criteria. First, a multi-criteria decision-making analysis based on the FAHP method is employed to assign appropriate weights for the addressed criteria with respect to their relative importance. Since the traditional AHP method, which was found employed in the majority of the relative case-studies, is not efficient in dealing with uncertainty when experts use a basic scale (0 to 1) for their assessments, the FAHP provides more flexible scales through the utilized fuzzy membership functions and the natural linguistic variables. Consequently, this helps to facilitate the assessments made by experts and increases the precision of the obtained results (weights). Next, the high-resolution GIS is used to carry out a spatial analysis and integrate various factors/criteria throughout the proposed index to produce the final suitability map and identify the unsuitable areas. The presented study emphasizes investigating the lightning strike flash rate due to its significant influences on the wind turbine’s safety and operation, yet this crucial factor has been seldomly investigated in previous studies. The obtained findings revealed that the wind speed, the land slope, and the elevation had the highest weighted criteria with 33.1%, 24.8%, and 12.2%, respectively. Besides, the final-developed suitability map revealed that 23.22% and 8.31% of the Sudanese territory are of high and very high suitability, respectively, for wind farms installation which are considered sufficient to cover the electricity needs. The difficulty of acquiring real data and resources for the addressed location was the main challenge of the presented work. The work outlook addresses the suitability mapping of hybrid photovoltaic-wind turbine energy systems, which will require addressing new and significant criteria in the applied methodology.

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“…Moreover, Hybrid Optimization Model for Electric Renewable (HOMER) software is used to optimize the energy production, cost analysis, and also to estimate the optimal energy system using fuzzy‐based multi‐criteria decision‐making model. Therefore, the system evaluates the NPC, simple payback, and COE for the proposed system with optimal performance 2 . Multi‐attribute decision making is used with the help of HOMER to perform techno‐economic and sustainability analysis and to determine the best effective measure and therefore, the contribution is viable in off‐grid than grid extension 3 …”

Section: Introductionmentioning

confidence: 99%

Techno‐economic analysis of a hybrid solar wind electric vehicle charging station in highway roads

Nishanthy¹,

Raja²,

Praveen³

et al. 2022

Intl J of Energy Research

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Summary Renewable energy resources have a remarkable landmark across the world to provide electricity to the consumers without any inadequacy in the energy market. The utilization of renewable energy sources in electric vehicle charging stations is among the most prominent area of research in developing countries. This paper analyses techno‐economic and environmental factors of hybrid solar wind vehicle charging stations at the highway of Southern Tamil Nadu, India. The sensitivity analysis is performed in the design of a charging station at the following highway locations at Madurai, Virudhunagar, Sattur, Kayathar, and Tirunelveli. The locations are chosen in such a way that, wind and solar potentials are having contradictory nature in the specified locations. The charging station is designed and optimized as ON‐grid strategy using the hybrid optimization model for electrical renewable tool. The designed system is capable of charging 17 electric vehicles at day from forenoon 6:00 am to evening 6:00 am The attainment of the proposed designed system proves that Virudhunagar shows less net present cost with $303 291.26 and cost of energy as $0.072/kWh with 50% reduction in emission. Moreover, with a focus on economic analysis and Madurai produces 70% more electrical energy than other selected locations. Further, the performance analysis of the system is also studied and it shows more reliable results and is feasible considering both economic and technical studies.

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A fuzzy decision-making model for optimal design of solar, wind, diesel-based RO desalination integrating flow-battery and pumped-hydro storage: Case study in Baltim, Egypt

Cited by 88 publications

References 59 publications

Development of a novel cellulose foam augmented with candle-soot derived carbon nanoparticles for solar-powered desalination of brackish water

Development of a novel cellulose foam augmented with candle-soot derived carbon nanoparticles for solar-powered desalination of brackish water

A High-Resolution Wind Farms Suitability Mapping Using GIS and Fuzzy AHP Approach: A National-Level Case Study in Sudan

Techno‐economic analysis of a hybrid solar wind electric vehicle charging station in highway roads

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