# US 2024/0201675 A1 · Emission optimization for industrial processes > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2024/0201675 A1 - Document ID: US20240201675A1 - Status: Published application - Kind: A1 - Application number: 18/322,912 - Filed: 2023-05-24 - Published: 2024-06-20 - Earliest claimed: 2022-12-20 - Assignees: Honeywell International Inc. - Applicants: Honeywell International Inc. - Inventors: Amanda Copperthite; Ravikrishnan Srinivasan; Robert Kester - Web page: https://patentgrep.com/patent/US20240201675A1 ## CPC - G05B 19/41885: {characterised by modeling, simulation of the manufacturing system} - G06Q 10/0631: Resource planning, allocation, distributing or scheduling for enterprises or organisations - G05B 19/4183: {characterised by data acquisition, e.g. workpiece identification} - G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G) - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## 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. ## Claims ### Claim 1 A system, comprising: one or more processors; a memory having program code stored thereon that, in execution with the at least one processor, causes the system to: determine 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; configure an emission optimization model based at least in part on the set of emission constraints and at least one other non-emission constraint; receive an emission optimization request to optimize carbon emissions related to the one or more industrial processes; and in response to the emission optimization request: apply the emission optimization model 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; and based on the one or more operational modifications, perform one or more actions associated with the one or more industrial processes. ### Claim 2 (depends on 1) The system of claim 1, wherein the program code further causes the system to: capture at least a portion of the real-time measurement data via a set of sensors configured to monitor real-time emissions related to the one or more industrial processes; and apply the emission optimization model to the portion of the real-time measurement data associated with the set of sensors. ### Claim 3 (depends on 1) The system of claim 1, wherein the program code further causes the system to: capture at least a portion of the real-time measurement data via a set of gas cloud imaging cameras configured to monitor real-time emissions related to the one or more industrial processes; and apply the emission optimization model to the portion of the real-time measurement data associated with the set of gas cloud imaging cameras. ### Claim 4 (depends on 1) The system of claim 1, wherein the program code further causes the system to: capture at least a portion of the real-time measurement data via a set of gas leak sensing devices configured to monitor for or predict gas leaks related to the one or more industrial processes; and apply the emission optimization model to the portion of the real-time measurement data associated with the set of gas leak sensing devices. ### Claim 5 (depends on 1) The system of claim 1, wherein the program code further causes the system to: determine market data that comprises at least one of real-time gas cost data corresponding to gas employed by the one or more industrial processes, real-time electricity cost data corresponding to the one or more industrial processes, carbon credit cost data available for a location associated with the industrial domain, and real-time interest rate data associated with a banking system associated with the location; and apply the emission optimization model to the real-time measurement data and the market data to determine the one or more operational modifications for the one or more industrial processes that satisfy the set of emission constraints. ### Claim 6 (depends on 1) The system of claim 1, wherein the program code further causes the system to: determine static configuration data that comprise at least one of resource data related to resource material employed by the one or more industrial processes, costs data related to costs associated with the one or more industrial processes, enterprise data related to assets for an enterprise associated with the one or more industrial processes, and regulatory data related to regulatory incentives for a geographic location of an industrial facility associated with the one or more industrial processes; and apply the emission optimization model to the real-time measurement data and the static configuration data to determine the one or more operational modifications for the one or more industrial processes that satisfy the set of emission constraints. ### Claim 7 (depends on 1) The system of claim 1, wherein the program code further causes the system to: determine the set of emission constraints based at least in part on a set of operational baseline thresholds for the one or more industrial processes. ### Claim 8 (depends on 1) The system of claim 1, wherein the program code further causes the system to: determine the set of emission constraints based at least in part on a set of internal constraints that comprise at least one of capital for an enterprise associated with the one or more industrial processes, resources available for the one or more industrial processes, an infrastructure for an industrial facility associated with the one or more industrial processes, risk tolerance rules for the one or more industrial processes, and implementation timelines for achieving the emission optimization associated with the one or more industrial processes. ### Claim 9 (depends on 1) The system of claim 1, wherein the program code further causes the system to: determine the set of emission constraints based at least in part on a set of external constraints that comprises regulatory information for a geographic location of an industrial facility associated with the one or more industrial processes, economic information for the geographic location, social information for the geographic location, technical information for an operating environment associated with the one or more industrial processes, legal information for the operating environment, and environmental information for the geographic location or the operating environment. ### Claim 10 (depends on 1) The system of claim 1, wherein the program code further causes the system to: determine the set of emission constraints based at least in part on user input received via a dashboard visualization rendered on a display of a user device. ### Claim 11 (depends on 1) The system of claim 1, wherein the program code further causes the system to: transmit a control signal configured based on the one or more operational modifications to a controller associated with the one or more industrial processes. ### Claim 12 (depends on 11) The system of claim 11, wherein the program code further causes the system to: transmit the control signal in response to a level of risk associated with the one or more operational modifications being below a defined risk threshold. ### Claim 13 (depends on 1) The system of claim 1, wherein the program code further causes the system to: record data associated with the one or more operational modifications and related timestamp data in a decarbonization historian database; generate a work order notification for the one or more industrial processes based at least in part on the one or more operational modifications; and in response to the one or more operational modifications being applied to the one or more industrial processes via the work order notification, update the data in the decarbonization historian database based at least in part on the work order notification, wherein the emission optimization model determines the one or more operational modifications based at least in part on the data in the decarbonization historian database. ### Claim 14 A computer-implemented method comprising: determining 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; configuring an emission optimization model based at least in part on the set of emission constraints and at least one other non-emission constraint; receiving an emission optimization request to optimize carbon emissions related to the one or more industrial processes; and in response to the emission optimization request: applying the emission optimization model 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; and based on the one or more operational modifications, performing one or more actions associated with the one or more industrial processes. ### Claim 15 (depends on 14) The computer-implemented method of claim 14, further comprising: capturing at least a portion of the real-time measurement data via a set of sensors configured to monitor real-time emissions related to the one or more industrial processes; and applying the emission optimization model to the portion of the real-time measurement data associated with the set of sensors. ### Claim 16 (depends on 14) The computer-implemented method of claim 14, further comprising: capturing at least a portion of the real-time measurement data via a set of gas cloud imaging cameras configured to monitor real-time emissions related to the one or more industrial processes; and applying the emission optimization model to the portion of the real-time measurement data associated with the set of gas cloud imaging cameras. ### Claim 17 (depends on 14) The computer-implemented method of claim 14, further comprising: capturing at least a portion of the real-time measurement data via a set of gas leak sensing devices configured to monitor for or predict gas leaks related to the one or more industrial processes; and applying the emission optimization model to the portion of the real-time measurement data associated with the set of gas leak sensing devices. ### Claim 18 (depends on 14) The computer-implemented method of claim 14, further comprising: determining market data that comprises at least one of real-time gas cost data corresponding to gas employed by the one or more industrial processes, real-time electricity cost data corresponding to the one or more industrial processes, carbon credit cost data available for a location associated with the industrial domain, and real-time interest rate data associated with a banking system associated with the location; and applying the emission optimization model to the real-time measurement data and the market data to determine the one or more operational modifications for the one or more industrial processes that satisfy the set of emission constraints. ### Claim 19 (depends on 14) The computer-implemented method of claim 14, further comprising: determining static configuration data that comprise at least one of resource data related to resource material employed by the one or more industrial processes, costs data related to costs associated with the one or more industrial processes, enterprise data related to assets for an enterprise associated with the one or more industrial processes, and regulatory data related to regulatory incentives for a geographic location of an industrial facility associated with the one or more industrial processes; and applying the emission optimization model to the real-time measurement data and the static configuration data to determine the one or more operational modifications for the one or more industrial processes that satisfy the set of emission constraints. ### Claim 20 A computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising an executable portion configured to: determine 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; configure an emission optimization model based at least in part on the set of emission constraints and at least one other non-emission constraint; receive an emission optimization request to optimize carbon emissions related to the one or more industrial processes; and in response to the emission optimization request: apply the emission optimization model 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; and based on the one or more operational modifications, perform one or more actions associated with the one or more industrial processes.