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Naeim Farouk

Работ: 7

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

    СтатьяSolar Thermal and Photovoltaic SystemsCase Studies in Thermal Engineering2024Цитирований: 3
    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

    СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsCase Studies in Thermal Engineering2024Цитирований: 3
    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

    СтатьяProcess Optimization and IntegrationProcess Safety and Environmental Protection2024Цитирований: 1
    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

    СтатьяHeat transfer and supercritical fluidsCase Studies in Thermal Engineering2024Цитирований: 0
    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

    СтатьяHybrid Renewable Energy SystemsFuel2025Цитирований: 0
    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

    СтатьяBiofuel production and bioconversionEnergy2025Цитирований: 0
    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

    СтатьяEnergy Load and Power ForecastingEnergy2025Цитирований: 0
    ABI