Treffer: COMPUTATIONAL ALGORITHMS AND THERMAL DYNAMICS: ENGINEERING A SUSTAINABLE ENERGY FRAMEWORK

This research presents an intricate multi-criteria optimization framework tailored for the petrochemical sector, concentrating on devising efficacious approaches to curtail Carbon Emission (CE) through the optimization of thermal energy utilization, diminution of emissions, and expenditure management. The framework addresses prevailing uncertainties via a synthesis of decision-making simulations, specialist contributions, and blended methodologies, integrating a triad of preference categories to derive definitive strategies. It delineates principal emission factors, proposing economically viable reduction techniques within the realm of thermal energy governance, and underscores. It is crucial to implement regulatory measures that encourage carbon capture innovations, promoting global sustainability and securing ongoing progress in thermal energy management.