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).

Abstract: Various embodiments described herein relate to providing emission optimization for industrial processes. In this regard, a set of emission constraints associated with emission optimization for an industrial domain related to one or more industrial processes that produce one or more industrial process products is determined. Additionally, an emission optimization model is configured based at least in part on the set of emission constraints and at least one other non-emission constraint. In response to receiving an emission optimization request to optimize carbon emissions related to the one or more industrial processes, the emission optimization model is applied to real-time measurement data associated with the one or more industrial processes to determine one or more operational modifications for the one or more industrial processes that at least satisfy the set of emission constraints and optimize the at least one non-emission constraint.

Abstract: A computer-implemented method for optimizing carbon emissions associated with an operation of a processing plant is provided. The processing plant includes a plurality of assets and the computer-implemented method includes identifying a carbon output value associated with operating each asset of the plurality of assets of the processing plant and identifying an impact value associated with each asset of the plurality of assets. The method also includes generating an optimized set of transformation actions corresponding to the plurality of assets utilizing a multi-optimization model. The multi-optimization model is based at least in part on the carbon output value and the impact value.

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).