Mathematical simulation and optimization of a waste energy recovery for an internal combustion engine integrated with ScCO2 cycle and modified Kalina cycle

被引:7
作者
Almohana, Abdulaziz Ibrahim [1 ]
Almojil, Sattam Fahad [1 ]
Alali, Abdulrhman Fahmi [1 ]
Anqi, Ali E. [2 ]
Rajhi, Ali A. [2 ]
Alamri, Sagr [2 ]
Dhahad, Hayder A. [3 ]
Ahmed, Ahmed Najat [4 ]
Mohamed, Abdullah [5 ]
机构
[1] King Saud Univ, Coll Engn, Dept Civil Engn, POB 800, Riyadh 11421, Saudi Arabia
[2] King Khalid Univ, Dept Mech Engn, Coll Engn, Abha 61421, Saudi Arabia
[3] Univ Technol Baghdad, Mech Engn Dept, Baghdad, Iraq
[4] Lebanese French Univ, Dept Comp Engn, Coll Engn & Comp Sci, Erbil, Kurdistan Regio, Iraq
[5] Future Univ Egypt, Res Ctr, New Cairo 11745, Egypt
关键词
Exergy analysis; Optimization; Internal combustion engine; Heat recovery system; ORGANIC RANKINE CYCLES; EXHAUST HEAT-RECOVERY; WHEEL/WORKPIECE INTERFACE; LUBRICATION PERFORMANCE; QUANTITY LUBRICATION; VEGETABLE-OIL; SYSTEM; BOUNDS; POWER; EXERGY;
D O I
10.1016/j.seta.2022.102650
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the current research, thermodynamic simulation of a waste heat recovery system (WHRS) for an internal combustion engine (ICE) employing a ScCO2 cycle, an ORC, and a modified Kalina cycle integrated with a thermoelectric generator is developed. The energy, exergy, and exergo-economic are applied to evaluate the suggested system. An engineering equation solver (EES) code combined with Matlab software is developed to conduct a thermodynamic simulation and multi-objective optimization of the waste heat recovery plant. The results represent in the suggested system the energy efficiency, exergy efficiency, and net output power are 26.33 %, 51.69 %, and 2657 kW, respectively. About 70.5 % of the overall exergy destruction of the proposed system belongs to the heat exchanger 1, generator, thermoelectric 1, and compressor. The economic analysis results show that the thermoelectric 1, ORC turbine, compressor and Kalina turbine have the highest purchase equipment cost in the designed system. Calculations show that the thermoelectric 1, and Kalina turbine have the highest potential for optimization and minimizing their value of relative cost difference. In the parametric analysis, four variables were investigated, which is a base for multi-objective optimization in three schemes. The introduced multi-objective scenarios provide appropriate data for a designer to propose the new waste heat recovery plants.
引用
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页数:10
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