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

被引:22
作者
Nanzeeba, Fairooz [1 ]
Baigh, Tajwar A. [1 ]
Kabir, Afrida [1 ]
Khan, Yasin [1 ]
Ehsan, M. Monjurul [1 ]
机构
[1] Islamic Univ Technol IUT, Dept Mech & Prod Engn MPE, Board Bazar 1704, Gazipur, Bangladesh
关键词
Waste heat recovery; Supercritical CO2; Transcritical refrigeration; Energy and exergy analysis; ORC; Multi-Objective optimization; THERMODYNAMIC ANALYSIS; COOLING SYSTEM; GAS-TURBINE; EXERGY ANALYSES; RANKINE-CYCLE; RECOVERY; DESIGN; PERFORMANCE; ENERGY; ORC;
D O I
10.1016/j.egyr.2024.07.059
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The shipping industry significantly contributes to global trade and economy, but is also responsible for approximately similar to 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 CO2 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 CO2 Brayton power cycle with a flash-tank-enhanced transcritical CO2 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 degrees C and 50 degrees C respectively. These findings support the reliability and improved design of the MERS for future marine applications.
引用
收藏
页码:1810 / 1835
页数:26
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