Abstract: The global energy landscape is undergoing a transformative shift, and the potential ofLNG as a major energy source is a topic of intense debate. In order to meet the growing demand for sustainable energy supply, it is crucial to maximize the efficiency andenvironmental friendliness of the LNG supply chain. This research paper aims to leverage computational modeling and optimization techniques to enhance the production units involved in LNG production. By harnessing the power of advanced algorithms and simulations, we can identify and implement innovative strategies that minimize energy consumption, reduce greenhouse gas emissions, and enhance the overall sustainability of LNG. This study, we seek to uncover novel approaches to address the challenges faced by the LNG industry, including improving operational efficiency, optimizing liquefaction processes, and enhancing the utilization of natural resources. By integrating cutting-edge computational tools and considering environmental factors, we aspire to pave the way for a more sustainable and environmentally friendly future powered by LNG. By exploring the immense potential of computational modeling and optimization, we strive to contribute to the ongoing efforts in advancing energy sustainability and shaping the future of LNG as a crucial global energy source. In this paper, our focus is on simulating and optimizing the process of converting natural gas to LNG. Our goal is to achieve the minimum energy consumption per ton of LNG produced. Through our research, we have identified that utilizing a three-stage heat exchanger is the most effective approach for minimizing energy consumption in an LNG industrial production unit.

Moreover, we have discovered that the outlet pressure from the compressor and the type of refrigerant in the cooling system play significant roles in determining the rate of energy conservation. By carefully considering these factors and optimizing their settings, we can further enhance the overall energy efficiency of the LNG production process. Our research also aims to provide valuable insights and guidance to industry professionals and decision-makers in the LNG sector. By implementing the findings of this study, we can contribute to the sustainable development and utilization of LNG as a cleaner and more environmentally friendly energy source. It's great to see the optimized parameters for the refrigerants and pressure settings in the liquefaction and sub-cooling cycles. With the mass fraction of 0.89 for methane and 0.14 for ethane in the liquefaction cycle, and 0.59 for methane and 0.3 for nitrogen in the composition for achieving energy efficiency in the LNG production sub-cooling cycle,

The optimized outlet pressure of 650 kPa for the compressors in the liquefaction cycle and 1800 kPa for the sub-cooling cycle further contribute to minimizing energy consumption. Based on our findings, the amount of consumed energy at 14.81 kW per ton of produced LNG highlights the success of the optimization efforts. Reducing the energy consumption per ton of LNG produced is a significant accomplishment towards achieving energy sustainability and environmental friendliness in the LNG industry. These results demonstrate the importance of computational modeling and optimization in identifying the best parameters for enhancing energy efficiency in LNG production. By implementing these optimized settings, we can work towards a more sustainable future with reduced energy consumption and lower environmental impact.

Keywords: LNG, Unit, Production, Energy, Precooling, Simulation, Sub- Cooling, optimization, Liquefaction.

Cite: James, Richard V., Nnadikwe, Johnson, Akujuru, Kelvin, "FUELING THE FUTURE: ADVANCING ENERGY SUSTAINABILITY THROUGH COMPUTATIONAL MODELING AND OPTIMIZATION OF LNG PRODUCTION UNITS", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 4, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11402.

| DOI: 10.17148/IARJSET.2024.11402