ABSTRACT
Energy economics and process optimization are critical areas for advancing sustainable practices in Liquefied Natural Gas (LNG) production. This study presents a comprehensive model integrating energy-efficient technologies, economic feasibility, and environmental sustainability to optimize LNG production processes. With global demand for LNG rising as a cleaner alternative to traditional fossil fuels, balancing economic profitability and environmental impact is paramount. The proposed model evaluates energy efficiency and process configurations through advanced computational tools and data-driven simulations, enabling the identification of optimal parameters that minimize energy consumption, operational costs, and greenhouse gas emissions. The model incorporates renewable energy integration, waste heat recovery, and advanced process control systems to improve energy efficiency while reducing the carbon footprint of LNG production. Economic analysis is performed using life-cycle cost assessment and sensitivity analysis to ensure the economic viability of the proposed solutions under fluctuating energy markets and regulatory frameworks. The study also highlights the role of digital technologies, such as artificial intelligence and machine learning, in predictive maintenance and process optimization, offering real-time decision-making capabilities that enhance operational efficiency. Key findings demonstrate that adopting energy-efficient technologies and optimization strategies can reduce LNG production costs by up to 20%, alongside a 15-30% reduction in greenhouse gas emissions compared to conventional methods. These outcomes align with global sustainability goals and provide a pathway for transitioning to low-carbon energy systems. Furthermore, the research underscores the importance of collaboration between policymakers, industry stakeholders, and research institutions to ensure the widespread adoption of sustainable LNG production practices. This study bridges the gap between energy economics and process engineering, offering a scalable and adaptable framework for the LNG industry to achieve sustainability targets. By addressing both environmental and economic concerns, this research contributes to the ongoing discourse on sustainable energy systems and offers actionable insights for stakeholders aiming to optimize LNG production processes in a cost-effective and environmentally friendly manner.
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