Methods, apparatuses, and computer programming products implementing a multi-variable, closed loop approach for determining an optimization pathway

Abstract

Embodiments of the present disclosure provide for generating improved, feasible, and optimized pathways for optimizing operation of an industrial plant or component thereof. Embodiments utilize a multi-variate optimization model that may utilize real-time data and any number of available dynamic and static configurations to optimize for multiple optimization parameters. The multi-variate optimization model outputs an optimization pathway, for example including any number of transformation action(s) representing decarbonization step(s), that enable configuration of the plant or processing unit(s) thereof in a manner that optimizes operations of the plant or processing unit(s). For example, the optimization pathway in some contexts is optimized to generate a pathway that reduces the impact of emissions generated by the plant or processing unit(s) in a feasible manner that is most cost efficient for a particular plant in a particular location in consideration with any number of other constraints or considerations.