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Работы, цитирующие эту работу

Работ: 5

Работа: Machine learning optimization of integrating an advanced thermal-electrochemical plant with an oxy-biogas fuel plant employing a CO2 capture process

  1. Multi-objective optimization of a biogas-fueled multigeneration system with a supercritical CO2-based power and multi-level cooling cycle: A hybrid ANN-MOPSO approach

    Mohamed Boujelbene, Ali Basem, Hussain Sawwan +6

    СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsFuel2025Цитирований: 4
    ABI

  2. A geothermal multigeneration system integrating an ORC configuration with an open-feed heater for electricity/H2/cooling production: Techno-economic optimization using a genetic algorithm

    Lel Chang, Ali Basem, Ahmad Almadhor +7

    СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsInternational Journal of Refrigeration2025Цитирований: 2
    ABI

  3. Life cycle assessment, exergoenvironmental analysis, and AI-driven optimization of an oxy-biogas power plant combined with liquefied CO2 and H2 generation units

    Zheng Wang, Jialing Li, Sinan Q. Salih +7

    СтатьяCarbon Dioxide Capture TechnologiesEnergy2025Цитирований: 0
    ABI

  4. Thermo-economic decision-making and intelligent optimization of a sustainable biogas-driven system with integrated peak demand management

    Ling Ji, Ali Basem, Hyder H. Balla +7

    СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsBiomass and Bioenergy2025Цитирований: 0
    ABI

  5. Employing cooling/power cycle in a sustainable geothermal scheme integrated desalinated water-based H2 production/liquefaction; AI-aided multi-facet optimization and economic examination

    Tianwen Yin, Lei Chang, Sinan Q. Salih +7

    СтатьяCarbon Dioxide Capture TechnologiesInternational Journal of Refrigeration2025Цитирований: 0
    ABI