Abstract: A method may include obtaining acquired process data regarding a plant process that is performed by a plant system. The method may further include obtaining from a process model, simulated process data regarding the plant process. The method may further include determining drift data for the process model based on a difference between the acquired process data and the simulated process data. The drift data may correspond to an amount of model drift associated with the process model. The method may further include determining whether the drift data satisfies a predetermined criterion. The method further includes determining, in response to determining that the drift data fails to satisfy the predetermined criterion, a model update for the process model.

Abstract: A method may include obtaining, from a camera device, thermal image data for a steam area of a plant facility. The steam area may include a steam trap for a steam network. The method may further include obtaining plant steam data regarding the steam trap. The method may further include determining pixel data regarding the steam trap using the thermal image data and an image segmentation process. The method further includes determining various temperature values across the steam trap using the pixel data. The method may further include determining predicted steam trap data using the temperature values, the plant steam data, and a machine-learning model. The method may further include transmitting a command that adjusts one or more parameters of the steam network based on the predicted steam trap data.

Abstract: A method may include obtaining acquired process data regarding a plant process that is performed by a plant system. The method may further include obtaining from a process model, simulated process data regarding the plant process. The method may further include determining drift data for the process model based on a difference between the acquired process data and the simulated process data. The drift data may correspond to an amount of model drift associated with the process model. The method may further include determining whether the drift data satisfies a predetermined criterion. The method further includes determining, in response to determining that the drift data fails to satisfy the predetermined criterion, a model update for the process model.

Abstract: Systems, computer readable media, and program product/code for providing enhanced energy efficiency and reduced greenhouse gases for an eco-industrial park with retrofit in mind and eco-industrial park retrofit with retrofit in mind, are provided. An exemplary system includes a computer configured to perform the operations of identifying hybrid inter-time zones inter-area matching solutions through selecting best energy efficient routes, generating technically viable energy efficient eco-industrial parks alternatives, identifying best generation and allocation of energy utilities, and synthesizing a combined heat and power utility system that satisfies the eco-park demands during each time zone as well as rendering its best operating scenario at each specific time-zone.

Abstract: Methods of providing enhanced energy efficiency and reduced greenhouse gases for an eco-industrial park with retrofit in mind and eco-industrial park retrofit with retrofit in mind, are provided. An exemplary method includes identifying hybrid inter-time zones inter-area matching solutions through selecting best energy efficient routes, generating technically viable energy efficient eco-industrial parks alternatives, identifying best generation and allocation of energy utilities, and synthesizing a combined heat and power utility system that satisfies the eco-park demands during each time zone as well as rendering its best operating scenario at each specific time-zone.

Abstract: Methods for systematically providing enhanced energy efficiency of mega industrial sites and synergy with the adjacent community through advanced hybrid inter-systems energy integration targeting and solutions generation to achieve desired best levels of energy consumption and greenhouse gas emissions reduction, are provided.

Abstract: Systems, computer readable media, and program code for systematically providing enhanced energy efficiency of mega industrial sites and synergy with the adjacent community through advanced hybrid inter-systems energy integration targeting and solutions generation to achieve desired best levels of energy consumption and greenhouse gas emissions reduction, are provided.

Abstract: Methods of providing enhanced energy efficiency and reduced greenhouse gases for an eco-industrial park with retrofit in mind and eco-industrial park retrofit with retrofit in mind, are provided. An exemplary method includes identifying hybrid inter-time zones inter-area matching solutions through selecting best energy efficient routes, generating technically viable energy efficient eco-industrial parks alternatives, identifying best generation and allocation of energy utilities, and synthesizing a combined heat and power utility system that satisfies the eco-park demands during each time zone as well as rendering its best operating scenario at each specific time-zone.

Abstract: Systems, computer readable media, and program product/code for providing enhanced energy efficiency and reduced greenhouse gases for an eco-industrial park with retrofit in mind and eco-industrial park retrofit with retrofit in mind, are provided. An exemplary system includes a computer configured to perform the operations of identifying hybrid inter-time zones inter-area matching solutions through selecting best energy efficient routes, generating technically viable energy efficient eco-industrial parks alternatives, identifying best generation and allocation of energy utilities, and synthesizing a combined heat and power utility system that satisfies the eco-park demands during each time zone as well as rendering its best operating scenario at each specific time-zone.

Abstract: Systems, computer readable media, and program code for systematically providing enhanced energy efficiency of mega industrial sites and synergy with the adjacent community through advanced hybrid inter-systems energy integration targeting and solutions generation to achieve desired best levels of energy consumption and greenhouse gas emissions reduction, are provided.

Abstract: Methods for systematically providing enhanced energy efficiency of mega industrial sites and synergy with the adjacent community through advanced hybrid inter-systems energy integration targeting and solutions generation to achieve desired best levels of energy consumption and greenhouse gas emissions reduction, are provided.