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      Design and multi-objective optimization of a multi-generation system based on PEM electrolyzer, RO unit, absorption cooling system, and ORC utilizing machine learning approaches; a case study of Australia

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      Energy
      Elsevier BV

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          Thin film electrocatalyst layer for unitized regenerative polymer electrolyte fuel cells

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            Working-fluid selection and thermoeconomic optimisation of a combined cycle cogeneration dual-loop organic Rankine cycle (ORC) system for solid oxide fuel cell (SOFC) waste-heat recovery

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              • Record: found
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              Energy, exergy, and exergoeconomics (3E) analysis and multi-objective optimization of a multi-generation energy system for day and night time power generation - Case study: Dezful city

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                Author and article information

                Contributors
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                Journal
                Energy
                Energy
                Elsevier BV
                03605442
                September 2023
                September 2023
                : 278
                : 127796
                Article
                10.1016/j.energy.2023.127796
                a1415d12-2ee0-41f6-8667-c48d55e059db
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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