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: 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: 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 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: 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: 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 industrial energy demand management and services. A demand management and services component obtains one or more utilization data elements via a communication network. The utilization data elements are instances of discrete data pertaining to sustainability, energy consumption, or emissions by manufacturing and/or facility elements. The demand management and services component analyzes the utilization data elements, and based on the analysis generates a set of user interfaces and/or provides one or more optimizations to improve sustainability and/or energy utilization.

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: 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 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: An industrial control system is provided. The system includes a processor to analyze one or more sustainability factors and a scoring component to assign a weight to the sustainability factors. An optimizer automatically adjusts a production process in view of the sustainability factors, the weight, and at least one of a recycling requirement, a carbon footprint, a procurement process, a shipping process, or a regulatory requirement.