Multiaspect analysis and optimization of a power and cooling cogeneration plant integrated with a multilevel waste heat recovery system

Author:

Hai Tao123,Omar Ihab45,El-Sharkawy Mohamed R6,Kassim Murizah78,Rajab Husam9,Said Esraa Ahmed10,Hussein Abbas Hameed Abdul11,Hassan Alhaidry Wesam Abed AL12,Idan Ameer Hassan13,Alizadeh Mehrsam14ORCID

Affiliation:

1. School of Information and Artificial Intelligence, Nanchang Institute of Science and Technology , 330108 Nanchang, China

2. School of Computer and Information, Qiannan Normal University for Nationalities , Duyun, Guizhou 558000, China

3. Artificial Intelligence Research Center (AIRC), Ajman University , P.O. Box 346, Ajman, UAE

4. Faculty of Engineering , Air Conditioning Engineering Department, , Karbala 56001, Iraq

5. Warith Al-Anbiyaa University , Air Conditioning Engineering Department, , Karbala 56001, Iraq

6. Engineering of Technical Mechanical Power Department, Al-Amarah University College , Maysan, Iraq

7. Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Universiti Teknologi MARA , 40450 Shah Alam, Selangor, Malaysia

8. School of Electrical Engineering, College of Engineering , Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

9. Mechanical Engineering Department, College of Engineering, Alasala University , King Fahad Bin Abdulaziz Rd., P.O.Box: 12666. Amanah, 31483 Dammam, Kingdom of Saudi Arabia

10. College of Dentistry, Alnoor University , Mosul, Iraq

11. Ahl Al Bayt University , Kerbala, Iraq

12. College of Technical Engineering, National University of Science and Technology , Dhi Qar 64001, Iraq

13. Al-Zahrawi University College , Karbala, Iraq

14. Department of Technical Engineering , University of Technology, Duhok, Iraq

Abstract

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.

Publisher

Oxford University Press (OUP)

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