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Genetic algorithm-based optimization of combined supercritical CO2 power and flash-tank enhanced transcritical CO2 refrigeration cycle for shipboard waste heat recuperation

Fairooz NanzeebaDepartment of Mechanical and Production Engineering (MPE), Islamic University of Technology (IUT), Board Bazar, Gazipur 1704, BangladeshTajwar A. BaighDepartment of Mechanical and Production Engineering (MPE), Islamic University of Technology (IUT), Board Bazar, Gazipur 1704, BangladeshAfrida KabirDepartment of Mechanical and Production Engineering (MPE), Islamic University of Technology (IUT), Board Bazar, Gazipur 1704, BangladeshYasin KhanDepartment of Mechanical and Production Engineering (MPE), Islamic University of Technology (IUT), Board Bazar, Gazipur 1704, BangladeshM. Monjurul EhsanDepartment of Mechanical and Production Engineering (MPE), Islamic University of Technology (IUT), Board Bazar, Gazipur 1704, Bangladesh
2024en
ABI

Аннотация

The shipping industry significantly contributes to global trade and economy, but is also responsible for approximately ∼3 % of global greenhouse gas (GHG) emissions. Harnessing waste heat from marine vessels to perform useful work is a potential solution to reduce these emissions. Although the Organic Rankine Cycle (ORC) and CO 2 cycles have been studied separately for waste heat recovery, a combined power and refrigeration systems, utilizing both cycles have not been reported. Herein, a combined system, “Marine Energy Recovery System (MERS)”, that integrates the supercritical CO 2 Brayton power cycle with a flash-tank-enhanced transcritical CO 2 refrigeration cycle, is proposed, aiming to generate power and provide cooling simultaneously. The power cycle incorporates an ORC, and a flash-tank is introduced within the refrigeration cycle to improve system performance. Both cycles share a low-temperature recuperator and a gas cooler to further utilize the heat between them. The MERS is evaluated from both a 1st and 2nd law perspective against various performance metrics under different operating conditions, such as: gas cooler pressure, evaporation temperature, and turbine inlet temperature and pressure. Results elucidated that the MERS achieved energy and exergy efficiencies of 54.62 % and 54.90 %, respectively, representing significant improvements over similar systems. The net work output improved by 717.55 kW and the net cooling capacity by 515.7 kW relative to the reference system. Furthermore, a COP of 2.99 outlines its potential as a cooling system. To further enhance MERS’s performance, a multi-objective optimization approach is employed, utilizing Artificial Neural Network (ANN) and Genetic Algorithm (GA). Optimal operational conditions yielded an energy efficiency of 74.95 % while maintaining a net work output of 6890.55 kW with gas cooler pressure, turbine inlet temperature, and gas cooler outlet temperature being 9.5 MPa, 461.76°C and 50°C respectively. These findings support the reliability and improved design of the MERS for future marine applications. • A Hybrid system combining supercritical CO 2 and transcritical refrigeration cycles. • Incorporation of ORC to recover waste heat for enhanced system performance. • Incorporation of flash tank to enhance cooling performance of refrigeration cycle • Thermodynamic evaluation to provide a comprehensive view of system performance. • Multi-objective optimization using Artificial Neural Network and Genetic Algorithm

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