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This paper investigates the potential and feasibility of an integrating hybrid renewable power generation system with a large-scale reverse osmosis desalination plant to provide electricity, heat, and water for the New Capital International Airport, Egypt. The proposed energy system contains photovoltaic panels, wind turbine, combined heat-power microturbine generator, diesel generator, batteries, converter, thermal load controller, and a boiler. A comprehensive energy-economic-environmental optimization analysis was performed to optimize energy systems in which 16-feasible solutions were evaluated and compared. The results revealed that the optimal system has the least net present and energy costs by 1.54 M$ and 0.089 $/kWh, respectively, and needs only 1.12 years to recover the invested money. Moreover, the proposed system produces emissions of 59.5% less than the base-case. The optimal system has a negligible unmet load ratio since it has a negligible loss of power supply possibility of 0.0993%. The thermal load controller has a significant impact on reducing the net present cost, cost of energy, emissions, and needed batteries by 52%, 56.4%, 36.5%, and 90%, respectively compared to the base-case. The obtained results are expected to attract large investments in clean energy and water desalination because of the government's challenges in such fields. • Energy-economic-environmental optimization is performed for an airport in the new capital of Egypt. • Prominence is set to provide the airport with the daily need for electricity, heat, and water. • The effect of renewables, TLC, and batteries on the optimal system performance is discussed. • The cost of energy of the optimal system is reached to 0.08 $/kWh with a payback period of 1.2 years. • The proposed system generates 59.5% of CO 2 emission less than the traditional diesel. [ABSTRACT FROM AUTHOR]

• Solar-wind-diesel hybrid system is proposed for a large-scale reverse osmosis desalination plant. • A 3E fuzzy decision-making optimization model is developed for ten distinct energy systems. • Performance of flow batteries and pumped hydro storage technologies are investigated and compared. • Hybrid system with battery option results in better energy, economic, and ecological benefits. • Sensitivity analysis on storage cost show more savings in NPC and COE with pumped hydro than the battery. This paper aims to propose a conceptual design model for sustainable hybrid renewable stand-alone energy system (HRSES) to meet the electricity demand of a large-scale reverse osmosis desalination plant in Baltim, Egypt. The model investigates the feasibility of different HRSES alternatives and develop a fuzzy-based multicriteria decision-making model for meticulously selecting the optimal energy solution. Both zinc-bromine flow battery and turbine-pumped hydro energy storage technologies are integrated independently with wind, solar, and diesel power sources. Firstly, the proposed model uses HOMER software to execute an energy-economic-ecological optimization analysis for studying the practicability and components sizing of nine HRSES alternatives. Second, an integration between Fuzzy-AHP and Fuzzy-VIKOR decision-making methods is executed to choose the best design considering ten performance criteria. In the second stage, the fuzzy environment is engaged to expedite decision-makers to express their ratings in linguistic terms and to achieve more sensible and accurate results. Among ten feasible alternatives, the results reveal that the optimal system consists of 5 × 20-kW wind turbines, 328-kW photovoltaic array, 100-kW diesel generator, 112 batteries and 235-kW converter. This system has the best economic performance among all alternatives with least NPC, COE, and payback-period of $1,048,046, 0.101$/kWh and 1.1 yr, respectively. Besides, it has a treasured share of renewable of 95.55%; hence, it produces a realistic CO 2 of 25,426.46 kg/year. Lastly, the sensitivity analysis illuminates that the future load growth and low-interest rate hurt upcoming investments while the projected reduction in the cost of energy storages has an encouraging influence on financing decisions. [ABSTRACT FROM AUTHOR]

• A two-stage multi-attribute analysis method for optimal design of sustainable energy system is proposed. • Different alternatives are optimized based on energy, environmental, economic, and social attributes. • Effect of uncertainty parameters on the designed system structure and cost is examined. • PV-WT-BAT-CONV mini-grid is the most sustainable alternative in El-Qsier urban city, Egypt. • Load growth and battery cost have high impacts on investment decision rather than RE resources. This paper proposes a two-stage multi-attribute analysis method in conceptualizing the feasible electrification strategy with optimal capacities for a mid-rise building situated in El-Qsier urban city, Egypt. The proposed model measures the implementation practicability of hybrid mini-grid against stand-alone diesel and the utility grid extension systems. The model takes into consideration, simultaneously, a total of 12 attributes covering technical, economic, environmental, and socio-political sustainability aspects. First, an accurate Energy-Enviro-Economic (3E) optimization analysis is performed to determine the set of feasible configurations using HOMER Pro software. Second, a Multi-Attribute Decision Making (MADM) model is established based on AHP, TOPSIS, VIKOR, CODAS, WASPAS methods to identify the unique best alternative. The results of the 3E optimization and decision making analyses confirm the non-viability of the reference site for grid extension against other off-grid systems. Also, the 100 % hybrid renewable mini-grid system is nominated as the most sustainable design, and it yielded optimal capacities of 196 kW, 72 kW, 587 kW h, and 75 kW for photovoltaic, wind turbine, converter, and battery. The system has total life-cycle and energy costs of 751,597$ and 0.2374$/kWh, respectively, with a zero-emission value and maximum social benefits equals 0.6089 jobs/year. Meanwhile, the sensitivity analysis elucidates that the load growth and battery cost have a high impact on investment decisions rather than solar irradiance and wind speed. [ABSTRACT FROM AUTHOR]

• A multi-objective optimization model for the optimal design of HMGESs is proposed. • The optimization model includes energy, economic and environmental aspects in the assessment. • SPV/WDG/DslG/Battery is the most economic, sustainable, and ecologically favorable option. • A power management strategy is applied efficiently on the optimized system to safeguard system power quality. Currently, the global gives a unique awareness of sustainable development by exploiting renewables to provide the people with affordable and clean energy and preserve the climate. This paper proposes a methodical and explicit framework of four phases, to design an autonomous hybrid renewable energy system in a community area in Egypt: preliminarily assessment, design optimization analysis, findings evaluation, and power-quality assessment. In the first three phases which performed by HOMER Pro® software, five hybridization scenarios are evaluated and compared regarding their life-cycle cost, carbon outflows, and reliability to distinguish the extraordinary scenario to supply the addressed community area. Contrary to the majority of studies that suffice only the first three phases, the fourth phase is proposed to perform a power-quality valuation based on a power management strategy (PMS). The results reveal that the optimal configuration consists of a photovoltaic generator, wind-driven generator, diesel-genset, battery-bank, and a power converter with the minimum net present cost of 351,223 $ and energy cost of 0.2262 $/kWh among all configurations. The optimal system has a negligible capacity shortage of 0.0955% and produces the least amount of emitted gases by 50.43 tones/year due to the high renewable fraction (57%). Moreover, the optimal proposed system can recover the invested money after only 3.4 years. The proposed PMS profitably harmonized the system's energy exchange, kept sufficient reserve energy at all times, and maintained the system stability under various meteorological and load disturbances. This can be verified from the superior stabilization of the dc-bus, load voltage and frequency during the examined disturbances. [ABSTRACT FROM AUTHOR]

• A systematic approach for efficient planning and design of HRE-MG system is proposed. • PV/WT/FC/DiG/BAT/CONV HRE-MG is optimized to meet electrical and thermal demands of a small urban area in Egypt. • Effect of LPSP and uncertainty parameters on the system profitability is examined. • PV/WT/FC/BAT/CONV configuration is a cost-effective and reliable design. • Load growth has a high influence on investment decision rather RE resources. This paper proposes a systematic and integrative decision-making approach for efficient planning and assessment of hybrid renewable energy-based microgrid (HRE-MG) systems. The approach is combined with an extensive techno-economic optimization analysis. The proposed methodology is validated with an actual case study on an urban city in Egypt, with the developed HRE-MG comprising solar, wind, diesel, and fuel cell energies. Different hybridization scenarios are modeled, evaluated and compared to obtain the most practicable solution with minimum cost and emission impact. The obtained results reveal that solar, wind, fuel cell show optimal configuration plan that yields a minimum net present and energy costs. Also, it achieves a significant reduction in carbon gases and increases system renewable fraction compared to other scenarios. Further, the reliability of the proposed hybrid energy system is examined under loss of power supply probability concept. A sensitivity analysis is then conducted to verify the model accuracy and examine the cost performance of the designed system concerning uncertain parameters. [ABSTRACT FROM AUTHOR]