Abstract: The innovation relates to systems and/or methodologies for facilitating dynamic sustainability searches. A sustainability search component executes a query, and returns one or more results that satisfy a set of search criteria and a set of sustainability factors. The search criteria can include keywords, such as product types, process types, and additional features related to the keywords, such as price, location, brand, and so forth. The sustainability factors are alternative cost measures for a given process, product, or plant element. The sustainability search component can analyze the returned results, and rank the results based on sustainability.

Abstract: The present disclosure describes system and methods for inferring energy usage at multiple levels of granularity. One embodiment describes an industrial automation system including a first industrial automation component, a first sensor coupled to the first industrial automation component, in which the first sensor measures a first amount of power supplied to the first industrial automation component, a second industrial automation component that couples to the first industrial automation component, and an industrial control system that infers energy usage by the first industrial automation component and the second industrial automation component based at least in part on the first amount of power supplied to the first industrial automation component.

Abstract: Discrete resource tracking systems (and corresponding methodologies) that collect, tag and store resource consumption and usage values associated with industrial environment processes are provided. The specification can track water, air, gas, electricity, or steam consumption and usage view of a discrete (or batch) processes. Emissions and/or effluents associated with processes and sub-processes can also be collected, tagged and stored as desired. These stored resource consumption and usage and/or emissions and/or effluents data elements can be used for a variety of purposes including, but not limited to, simulation, planning, forecasting, valuating, optimizing, etc.

Abstract: The innovation relates to systems and/or methodologies for facilitating dynamic sustainability searches. A sustainability search component executes a query, and returns one or more results that satisfy a set of search criteria and a set of sustainability factors. The search criteria can include keywords, such as product types, process types, and additional features related to the keywords, such as price, location, brand, and so forth. The sustainability factors are alternative cost measures for a given process, product, or plant element. The sustainability search component can analyze the returned results, and rank the results based on sustainability.

Abstract: The claimed subject matter relates to an architecture that can facilitate sustainability monitoring and indicia thereof for a product over the course of the entire lifecycle of the product. In particular, the architecture can acquire a status update associated with a state of the product. Based upon the state, the architecture can determine an impact of that state to a sustainability score associated with the product.

Abstract: The present disclosure describes system and methods for inferring energy usage at multiple levels of granularity. One embodiment describes an industrial automation system including a first industrial automation component, a first sensor coupled to the first industrial automation component, in which the first sensor measures a first amount of power supplied to the first industrial automation component, a second industrial automation component that couples to the first industrial automation component, and an industrial control system that infers energy usage by the first industrial automation component and the second industrial automation component based at least in part on the first amount of power supplied to the first industrial automation component.

Abstract: The present disclosure describes systems and methods that provide an energy usage auto-baseline used for diagnostics and/or prognostics. One embodiment describes a method that includes determining, using an industrial control system, energy usage associated with an industrial automation component over a period of time based at least in part on an operational parameter associated with the industrial automation component, generating, using the industrial control system, an energy usage baseline associated with the industrial automation component based at least in part on the energy usage, in which the energy usage baseline includes an expected energy usage associated with the industrial automation component, and sending, using the industrial control system, a notification to a display of the industrial control system, in which the notification indicates that the industrial automation component is potentially experiencing a fault when the energy usage exceeds the energy usage baseline.

Abstract: The present disclosure describes systems and methods for quantifying operating strategy energy usage. One embodiment describes an industrial control system that includes a tangible, non-transitory, computer readable medium storing a plurality of instructions executable by a processor of the industrial control system.

Abstract: The present disclosure describes system and methods for inferring energy usage at multiple levels of granularity. One embodiment describes an industrial automation system including a first industrial automation component, a first sensor coupled to the first industrial automation component, in which the first sensor measures a first amount of power supplied to the first industrial automation component, a second industrial automation component that couples to the first industrial automation component, and an industrial control system that infers energy usage by the first industrial automation component and the second industrial automation component based at least in part on the first amount of power supplied to the first industrial automation component.

Abstract: An industrial control system is provided. The system includes tagged data that is collected from a plurality of sustainability factor-associated data sources across an industrial automation environment, where the tagged data is associated with a portion of a process that is attributed to the sustainability factor data sources. A manufacturing model is associated with the tagged data, where the manufacturing model is employed to enhance the efficiencies of the process.

Abstract: The present disclosure describes systems and methods that provide an energy usage auto-baseline used for diagnostics and/or prognostics. One embodiment describes a method that includes determining, using an industrial control system, energy usage associated with an industrial automation component over a period of time based at least in part on an operational parameter associated with the industrial automation component, generating, using the industrial control system, an energy usage baseline associated with the industrial automation component based at least in part on the energy usage, in which the energy usage baseline includes an expected energy usage associated with the industrial automation component, and sending, using the industrial control system, a notification to a display of the industrial control system, in which the notification indicates that the industrial automation component is potentially experiencing a fault when the energy usage exceeds the energy usage baseline.

Abstract: The present disclosure describes systems and methods for quantifying operating strategy energy usage. One embodiment describes an industrial control system that includes a tangible, non-transitory, computer readable medium storing a plurality of instructions executable by a processor of the industrial control system.

Abstract: The present disclosure describes system and methods for inferring energy usage at multiple levels of granularity. One embodiment describes an industrial automation system including a first industrial automation component, a first sensor coupled to the first industrial automation component, in which the first sensor measures a first amount of power supplied to the first industrial automation component, a second industrial automation component that couples to the first industrial automation component, and an industrial control system that infers energy usage by the first industrial automation component and the second industrial automation component based at least in part on the first amount of power supplied to the first industrial automation component.

Abstract: The claimed subject matter relates to an architecture that can facilitate analysis, processing, or reporting in connection with energy consumption data and/or emissions or sustainability factors associated with an automation process. In particular, the architecture can obtain process-level or machine- or device-level energy consumption data collected during execution of an automation process. The data can be analyzed or processed, with general or application-specific results output to a specified recipient and/or formatted (e.g., parsed, filtered, or transformed) according to a general or application-specific scheme.

Abstract: The innovation relates to systems and/or methodologies for facilitating dynamic sustainability searches. A sustainability search component executes a query, and returns one or more results that satisfy a set of search criteria and a set of sustainability factors. The search criteria can include keywords, such as product types, process types, and additional features related to the keywords, such as price, location, brand, and so forth. The sustainability factors are alternative cost measures for a given process, product, or plant element. The sustainability search component can analyze the returned results, and rank the results based on sustainability.

Abstract: The innovation relates to systems and/or methodologies for facilitating dynamic sustainability searches. A sustainability search component executes a query, and returns one or more results that satisfy a set of search criteria and a set of sustainability factors. The search criteria can include keywords, such as product types, process types, and additional features related to the keywords, such as price, location, brand, and so forth. The sustainability factors are alternative cost measures for a given process, product, or plant element. The sustainability search component can analyze the returned results, and rank the results based on sustainability.

Abstract: Methods and apparatuses are provided for simulating components and processes using discrete, variable-granularity, component-specific data relating to energy consumption or other sustainability factors. Simulations can be analyzed and optimized to facilitate forecasting of sustainability factors and determine advantageous modifications to the components or processes.

Abstract: Methods and apparatuses are provided for simulating components and processes using discrete, variable-granularity, component-specific data relating to energy consumption or other sustainability factors. Simulations can be analyzed and optimized to facilitate forecasting of sustainability factors and determine advantageous modifications to the components or processes.

Abstract: A dynamic sustainability factor management system that can facilitate scoring of sustainability factors associated with an industrial environment is provided. Particularly, the system can evaluate factors related to the ‘planet,’ ‘people,’ and ‘profits’ to establish a sustainability rating. This rating can be generated and applied in most any level of granularity as desired. Additionally, weighting factors can be individually applied to sustainability factors in computation of the sustainability score. These weighting factors facilitate individualization or personalization in calculation of a score.

Abstract: Methods and apparatuses are provided for simulating components and processes using discrete, variable-granularity, component-specific data relating to energy consumption or other sustainability factors. Simulations can be analyzed and optimized to facilitate forecasting of sustainability factors and determine advantageous modifications to the components or processes.