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Naeim Farouk

7 та иш

Mechanical Engineering Department, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia

  1. Multi-thermal recovery layout for a sustainable power and cooling production by biomass-based multi-generation system: Techno-economic-environmental analysis and ANN-GA optimization

    Ma Zihao, Naeim Farouk, Pradeep Kumar Singh +8

    МақолаSolar Thermal and Photovoltaic SystemsCase Studies in Thermal Engineering20243 иқтибос
    ABI

  2. Modeling of geothermal tailored CCHP system with heat recovery centered thermal design/analysis; ANN-based optimization and economic study

    Weifeng Ling, Azher M. Abed, Naeim Farouk +5

    МақолаThermodynamic and Exergetic Analyses of Power and Cooling SystemsCase Studies in Thermal Engineering20243 иқтибос
    ABI

  3. Harnessing the power of waste in a poly-output system transforming biomass feedstocks into sustainable Bio-H2, O2, electricity, and heating

    Souhail Mohammed Bouzgarrou, Naeim Farouk, Azher M. Abed +7

    МақолаProcess Optimization and IntegrationProcess Safety and Environmental Protection20241 иқтибос
    ABI

  4. Numercial modeling for enhanced heat transfer efficiency of spiral coils with supercritical fluid flow under different operating conditions

    Xinling Wang, Naeim Farouk, Xiaoqing Fu +9

    МақолаHeat transfer and supercritical fluidsCase Studies in Thermal Engineering20240 иқтибос
    ABI

  5. Data-driven optimization and 4E analysis of a novel LNG-integrated gas turbine-based system using ANN-GA hybrid approaches: Enhanced hydrogen production and CO2 capture for energy applications

    Mohamed Boujelbene, Waqed H. Hassan, Naeim Farouk +5

    МақолаHybrid Renewable Energy SystemsFuel20250 иқтибос
    ABI

  6. Optimizing waste-to-energy conversion of banana peel biomass-based scheme using metaheuristic particle swarm optimization (PSO) algorithm

    Wei Fang, Naeim Farouk, Azher M. Abed +7

    МақолаBiofuel production and bioconversionEnergy20250 иқтибос
    ABI

  7. Optimization of Ex/energy efficiencies in an integrated compressed air energy storage system (CAES) using machine learning algorithms: A multi-objective approach based on analysis of variance

    Amr S. Abouzied, Naeim Farouk, Mohamed Shaban +7

    МақолаEnergy Load and Power ForecastingEnergy20250 иқтибос
    ABI