Abstract

The MEPC 80 session has revised the International Maritime Organization (IMO) greenhouse gas strategy, setting more ambitious decarbonization goals. Carbon capture and storage (CCS) technologies have shown promise in reducing maritime carbon emissions, although their high-energy requirements have often been neglected in previous research. This study introduces a novel system integrating a natural gas engine, CCS, an Organic Rankine Cycle (ORC), and a power turbine (PT). An exhaust gas bypass strategy is used to enhance engine performance at low and medium loads, channeling exhaust to the PT for power generation. The engine’s waste heat is fully utilized for CCS via cold, heat, and power. The study compares various absorbents in the CCS system, including monoethanolamine and piperazine solutions, which show different carbon capture efficiencies. Additionally, CO2 storage conditions are analyzed and compared. The proposed system shows potential for significantly reducing the Energy Efficiency Design Index for general cargo ships. The study addresses the high-energy demands of CCS by utilizing the engine’s waste heat, transforming a potential drawback into a beneficial resource. By integrating the ORC and PT, the system not only captures carbon but also improves overall energy efficiency, presenting a promising solution for maritime decarbonization. The analysis of CO2 storage conditions further enhances the understanding of effective carbon management. This innovative system demonstrates that with strategic integration and optimization, significant progress can be made toward achieving the stricter decarbonization targets set by the IMO while also enhancing the energy efficiency of maritime operations.

Details

Title
Utilizing the thermal energy from natural gas engines and the cold energy of liquid natural gas to satisfy the heat, power, and cooling demands of carbon capture and storage in maritime decarbonization: engineering, enhancement, and 4E analysis
Author
Tao Hai 1 ; Ali, Basem 2 ; Shami, Hayder Oleiwi 3 ; Sabri, Laith S 4 ; Rajab, Husam 5 ; Rand Otbah Farqad 6 ; Abbas Hameed Abdul Hussein 7 ; Wesam Abed AL Hassan Alhaidry 8 ; Ameer Hassan Idan 9 ; Narinderjit Singh Sawaran Singh 10 

 School of Information and Artificial Intelligence, Nanchang Institute of science & Technology , 330108, Nanchang, China 
 Faculty of Engineering, Warith Al-Anbiyaa University , Karbala 56001, Iraq 
 Department of Accounting, Al-Amarah University College , Maysan, Iraq 
 Department of Chemical Engineering, University of Technology- Iraq , Baghdad, Iraq 
 College of Engineering , Mechanical Engineering Department, 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 , Karbala, Iraq 
 College of Technical Engineering, National University of Science and Technology , Dhi Qar, 64001, Iraq 
 Al-Zahrawi University College , Karbala, Iraq 
10  Faculty of Data Science and Information Technology, INTI International University , 71800, Malaysia 
Pages
2093-2107
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
3174466356
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.