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

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 t...

Full description

Saved in:
Bibliographic Details
Published in:Sustainable energy technologies and assessments 2022-10, Vol.53, p.102650, Article 102650
Main Authors: Ibrahim Almohana, Abdulaziz, Fahad Almojil, Sattam, Fahmi Alali, Abdulrhman, Anqi, Ali E., Rajhi, Ali A., Alamri, Sagr, Dhahad, Hayder A., Najat Ahmed, Ahmed, Mohamed, Abdullah
Format: Article
Language:English
Subjects:
Exergy analysis
Heat recovery system
Internal combustion engine
Optimization
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2213-1388
DOI:10.1016/j.seta.2022.102650