Abstract
This study demonstrates how disposing of the cold energy (ice) produced by the conversion of liquefied natural gas to natural gas has a substantial impact on the industrial sector in particular. In addition to lowering the consumption of electricity, which can have a detrimental influence on the environment, the produced cold energy can be employed in several industrial industries. Because coal is one of the primary sources of electricity in Malaysia, high energy use can cause the ozone layer to thin more quickly. The use of the cold energy available includes the generation of cold water, dry ice, cooling or freezing districts, and more. Intermediate fluids have a variety of characteristics, including critical temperature, critical pressure, density, and latent heat. Using computational fluid dynamics (CFD) and simulation software tools, a double-pipe heat exchanger will be modeled in this study. Besides that, the objective of this study is to optimize design parameters [temperature (T), tube length (L), diameter (d), pressure (P), and velocity (v)] for heat exchanger, and last but not least, to design a heat exchanger that will transmit cold energy to the cold chamber. The results of the study found that the temperature on the outer pipe produced a difference of 3.1 K between the initial temperature and the new temperature while the inner pipe shows 10.1 K differences between the initial temperature and new temperature.
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Acknowledgements
Many thanks to our family members and friends for their moral support during the project’s duration. Furthermore, we really appreciate the constructive comments supplied by our reviewers, which assisted in improving the quality of this thesis research. The funding for this research project comes from Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA). (Grant No.: RDU230326).
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Syafiq, R.N., Ahmad, M.F.A., Puad, H.B.M. (2024). Cooling Energy Harvesting from Liquefied Natural Gas Vaporizer Using Computational Fluid Dynamics (CFD) Technique. In: Mohd. Isa, W.H., Khairuddin, I.M., Mohd. Razman, M.A., Saruchi, S.'., Teh, SH., Liu, P. (eds) Intelligent Manufacturing and Mechatronics. iM3F 2023. Lecture Notes in Networks and Systems, vol 850. Springer, Singapore. https://doi.org/10.1007/978-981-99-8819-8_41
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DOI: https://doi.org/10.1007/978-981-99-8819-8_41
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