Abstract

This study focuses on the development and improvement of a new combined power and cooling system called the power-cooling cogeneration system (PCCS). The PCCS incorporates a tri-tier waste heat recovery system that includes an organic Rankine cycle (ORC) system and an ejector-driven refrigeration mechanism. The cogeneration system design incorporates a thorough assessment of thermodynamic efficiency, cost-efficiency, and environmental consequences. A dual-objective optimization technique is developed to decrease expenses while simultaneously improving exergy efficiency. In addition, the complex behavior of PCCS is compared to a standard system that uses a one-stage recovery-ORC system and a compressor-based refrigeration approach. Also, the effectiveness of the PCCS was evaluated through the utilization of several environmentally friendly refrigerants. Environmental evaluations employ two metrics: total equivalent-warming impact (TE-WI) and life cycle-climate performance (LC-CP), emphasizing substantial reductions in environmental harm through improved waste heat recovery. The results demonstrate that the R1234-yf refrigerant achieves the best possible performance in both configurations, resulting in a significant increase of roughly 10.1% in exergetic efficiency compared to the standard system. Simultaneously, the PCCS experiences a decrease in exergy loss and annual costs of around 7.25% and 21.16%, respectively, as compared to the baseline. Incorporating an ejector into the refrigeration cycle has the potential to reduce carbon dioxide emissions by up to 11.41 × 106 kg.

Details

Title
Multiaspect analysis and optimization of a power and cooling cogeneration plant integrated with a multilevel waste heat recovery system
Author
Tao Hai 1 ; Omar, Ihab 2 ; El-Sharkawy, Mohamed R 3 ; Kassim, Murizah 4 ; Rajab, Husam 5 ; Esraa Ahmed Said 6 ; Abbas Hameed Abdul Hussein 7 ; Wesam Abed AL Hassan Alhaidry 8 ; Ameer Hassan Idan 9 ; Alizadeh, Mehrsam 10 

 School of Information and Artificial Intelligence, Nanchang Institute of Science and Technology , 330108 Nanchang, China 
 Faculty of Engineering , Air Conditioning Engineering Department, Warith Al-Anbiyaa University , Karbala 56001, Iraq 
 Engineering of Technical Mechanical Power Department, Al-Amarah University College , Maysan, Iraq 
 Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Universiti Teknologi MARA , 40450 Shah Alam, Selangor, Malaysia 
 Mechanical Engineering Department, College of Engineering, Alasala University , King Fahad Bin Abdulaziz Rd., P.O.Box: 12666. Amanah, 31483 Dammam, Kingdom of Saudi Arabia 
 College of Dentistry, Alnoor University , Mosul, Iraq 
 Ahl Al Bayt University , Kerbala, Iraq 
 College of Technical Engineering, National University of Science and Technology , Dhi Qar 64001, Iraq 
 Al-Zahrawi University College , Karbala, Iraq 
10  Department of Technical Engineering , University of Technology, Duhok, Iraq 
Pages
1801-1813
Publication year
2024
Publication date
2024
Publisher
Oxford University Press
ISSN
17481317
e-ISSN
17481325
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3174464729
Copyright
© The Author(s) 2024. Published by Oxford University Press. This work is published under https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.