Patents by Inventor Pratik Misra

Pratik Misra has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250060156
    Abstract: An apparatus and process for processing of a fluid (e.g. hydrogen) for liquefaction can permit a reduction in power consumption and also an improvement in operational efficiency in flexibility. Embodiments can be configured to account for large variations in feed to be provided for liquefaction and also permit operational cost reductions associated with liquefaction processing so the overall power consumption and operational cost for liquefaction can be greatly reduced while also providing improved operational flexibility. For instance, embodiments can be configured to feed a fluid to multiple liquefiers of a train of liquefiers based on a pre-selected set of feed routing criteria for improving power consumption and providing greater operational flexibility for liquefaction operations.
    Type: Application
    Filed: August 16, 2023
    Publication date: February 20, 2025
    Applicant: Air Products and Chemicals, Inc.
    Inventors: Pratik Misra, David M. Espie, Gowri Krishnamurthy
  • Publication number: 20250060708
    Abstract: A computer-implemented method of providing hydrogen having a defined carbon intensity (CI) value to an end user location, the process comprising: selecting a total end-to-end maximum CI value for the hydrogen from production to delivery of the hydrogen to an end user location; receiving one or more feedstocks; receiving product CI values associated with each feedstock and/or the produced hydrogen; receiving demand data defining the end user demand for the hydrogen; receiving renewable power data; defining, in an optimization model, a plurality of constraints; generating, using the optimization model, a control strategy for control of the one or more industrial plants; and controlling the industrial plants in accordance with the values of the control variables to process the one or more feedstocks in order to provide a required quantity of hydrogen meeting the selected total end-to-end maximum CI value for use by an end user.
    Type: Application
    Filed: August 18, 2023
    Publication date: February 20, 2025
    Applicant: Air Products and Chemicals, Inc.
    Inventors: PRATIK MISRA, SANJAY MEHTA
  • Publication number: 20250060155
    Abstract: An apparatus and process for pre-liquefaction processing of a fluid (e.g. hydrogen) can permit a reduction in capital costs and also an improvement in operational efficiency in flexibility. Embodiments can be configured to account for large variations in feed to be provided for liquefaction and also permit capital cost reductions associated with pre-liquefaction processing so the overall capital cost for liquefaction can be greatly reduced while also providing improved operational flexibility. For instance, embodiments can be configured to utilize one or more common pre-liquefaction processing elements to treat a fluid for pre-cooling of a fluid to a pre-selected liquefaction feed temperature.
    Type: Application
    Filed: August 16, 2023
    Publication date: February 20, 2025
    Applicant: Air Products and Chemicals, Inc.
    Inventors: David M. Espie, Pratik Misra, Gowri Krishnamurthy
  • Patent number: 12228920
    Abstract: There is provided a method of monitoring operational characteristics of an industrial gas plant complex comprising a plurality of industrial gas plants. The method being executed by at least one hardware processor and comprising: assigning a machine learning model to each of the industrial gas plants forming the industrial gas plant complex; training the respective machine learning model for each industrial gas plant based on received historical time-dependent operational characteristic data for the respective industrial gas plant; executing the trained machine learning model for each industrial gas plant to predict operational characteristics for each respective industrial gas plant for a pre-determined future time period; and comparing predicted operational characteristic data for each respective industrial gas plant for a pre-determined future time period with measured operational characteristic data for the corresponding time period to identify deviations in industrial gas plant performance.
    Type: Grant
    Filed: March 5, 2021
    Date of Patent: February 18, 2025
    Assignee: Air Products and Chemicals, Inc.
    Inventors: Sanjay Mehta, Pratik Misra
  • Patent number: 12105502
    Abstract: There is provided a method of controlling an industrial gas plant complex comprising a plurality of industrial gas plants powered by one or more renewable power sources, the method being executed by at least one hardware processor, the method comprising receiving time-dependent predicted power data for a pre-determined future time period from the one or more renewable power sources; receiving time-dependent predicted operational characteristic data for each industrial gas plant; utilizing the predicted power data and predicted characteristic data in an optimization model to generate a set of state variables for the plurality of industrial gas plants; utilizing the generated state variables to generate a set of control set points for the plurality of industrial gas plants; and sending the control set points to a control system to control the industrial gas plant complex by adjusting one or more control set points of the industrial gas plants.
    Type: Grant
    Filed: January 31, 2023
    Date of Patent: October 1, 2024
    Assignee: Air Products and Chemicals, Inc.
    Inventors: Sanjay Mehta, Pratik Misra
  • Publication number: 20240143854
    Abstract: A method and system for selecting a design configuration of an industrial gas plant complex comprising one or more industrial gas plants and powered by one or more renewable power sources.
    Type: Application
    Filed: October 28, 2022
    Publication date: May 2, 2024
    Applicant: Air Products and Chemicals, Inc.
    Inventors: Sanjay Mehta, Pratik Misra
  • Patent number: 11929613
    Abstract: There is provided a method of determining and utilizing predicted available power resources from one or more renewable power sources for one or more industrial gas plants comprising one or more storage resources. The method is executed by at least one hardware processor and comprises: obtaining historical time-dependent environmental data associated with the one or more renewable power sources; obtaining historical time-dependent operational characteristic data associated with the one or more renewable power sources; training a machine learning model based on the historical time-dependent environmental data and the historical time-dependent operational characteristic data; executing the trained machine learning model to predict available power resources for the one or more industrial gas plants for a pre-determined future time period; and controlling the one or more industrial gas plants in response to the predicted available power resources for the pre-determined future time period.
    Type: Grant
    Filed: January 31, 2023
    Date of Patent: March 12, 2024
    Assignee: AIR PRODUCTS AND CHEMICALS, INC.
    Inventors: Sanjay Mehta, Pratik Misra
  • Publication number: 20230185283
    Abstract: There is provided a method of controlling an industrial gas plant complex comprising a plurality of industrial gas plants powered by one or more renewable power sources, the method being executed by at least one hardware processor, the method comprising receiving time-dependent predicted power data for a pre-determined future time period from the one or more renewable power sources; receiving time-dependent predicted operational characteristic data for each industrial gas plant; utilizing the predicted power data and predicted characteristic data in an optimization model to generate a set of state variables for the plurality of industrial gas plants; utilizing the generated state variables to generate a set of control set points for the plurality of industrial gas plants; and sending the control set points to a control system to control the industrial gas plant complex by adjusting one or more control set points of the industrial gas plants.
    Type: Application
    Filed: January 31, 2023
    Publication date: June 15, 2023
    Applicant: Air Products and Chemicals, Inc.
    Inventors: Sanjay Mehta, Pratik Misra
  • Publication number: 20230178984
    Abstract: There is provided a method of determining and utilizing predicted available power resources from one or more renewable power sources for one or more industrial gas plants comprising one or more storage resources. The method is executed by at least one hardware processor and comprises: obtaining historical time-dependent environmental data associated with the one or more renewable power sources; obtaining historical time-dependent operational characteristic data associated with the one or more renewable power sources; training a machine learning model based on the historical time-dependent environmental data and the historical time-dependent operational characteristic data; executing the trained machine learning model to predict available power resources for the one or more industrial gas plants for a pre-determined future time period; and controlling the one or more industrial gas plants in response to the predicted available power resources for the pre-determined future time period.
    Type: Application
    Filed: January 31, 2023
    Publication date: June 8, 2023
    Applicant: Air Products and Chemicals, Inc.
    Inventors: Sanjay Mehta, Pratik Misra
  • Patent number: 11656612
    Abstract: A method of controlling an industrial gas production facility comprising: receiving time-dependent power data receiving time-dependent operational characteristic data; defining one or more power constraints for the operational parameters of the power network; defining one or more process constraints for the operational parameters of each industrial gas plant; generating, based on the power data, the operational characteristic data, the one or more power constraints and the one or more process constraints, control set point values for the one or more industrial gas plants to achieve a pre-determined production parameter for the industrial gas production facility; and sending the control set point values to a control system to control the one or more industrial gas plants by adjusting one or more control set points of the industrial gas plants to achieve the pre-determined production parameter for the industrial gas production facility.
    Type: Grant
    Filed: July 19, 2021
    Date of Patent: May 23, 2023
    Assignee: Air Products and Chemicals, Inc.
    Inventors: David M. Espie, Pratik Misra, Graeme Richard Wilson
  • Patent number: 11626730
    Abstract: There is provided a method of determining and utilizing predicted available power resources from one or more renewable power sources for one or more industrial gas plants comprising one or more storage resources. The method is executed by at least one hardware processor and comprises: obtaining historical time-dependent environmental data associated with the one or more renewable power sources; obtaining historical time-dependent operational characteristic data associated with the one or more renewable power sources; training a machine learning model based on the historical time-dependent environmental data and the historical time-dependent operational characteristic data; executing the trained machine learning model to predict available power resources for the one or more industrial gas plants for a pre-determined future time period; and controlling the one or more industrial gas plants in response to the predicted available power resources for the pre-determined future time period.
    Type: Grant
    Filed: March 5, 2021
    Date of Patent: April 11, 2023
    Assignee: AIR PRODUCTS AND CHEMICALS, INC.
    Inventors: Sanjay Mehta, Pratik Misra
  • Patent number: 11625020
    Abstract: There is provided a method of controlling an industrial gas plant complex comprising a plurality of industrial gas plants powered by one or more renewable power sources, the method being executed by at least one hardware processor, the method comprising receiving time-dependent predicted power data for a pre-determined future time period from the one or more renewable power sources; receiving time-dependent predicted operational characteristic data for each industrial gas plant; utilizing the predicted power data and predicted characteristic data in an optimization model to generate a set of state variables for the plurality of industrial gas plants; utilizing the generated state variables to generate a set of control set points for the plurality of industrial gas plants; and sending the control set points to a control system to control the industrial gas plant complex by adjusting one or more control set points of the industrial gas plants.
    Type: Grant
    Filed: March 5, 2021
    Date of Patent: April 11, 2023
    Assignee: AIR PRODUCTS AND CHEMICALS, INC.
    Inventors: Sanjay Mehta, Pratik Misra
  • Publication number: 20230012835
    Abstract: A method of controlling an industrial gas production facility comprising: receiving time-dependent power data receiving time-dependent operational characteristic data; defining one or more power constraints for the operational parameters of the power network; defining one or more process constraints for the operational parameters of each industrial gas plant; generating, based on the power data, the operational characteristic data, the one or more power constraints and the one or more process constraints, control set point values for the one or more industrial gas plants to achieve a pre-determined production parameter for the industrial gas production facility; and sending the control set point values to a control system to control the one or more industrial gas plants by adjusting one or more control set points of the industrial gas plants to achieve the pre-determined production parameter for the industrial gas production facility.
    Type: Application
    Filed: July 19, 2021
    Publication date: January 19, 2023
    Applicant: Air Products and Chemicals, Inc.
    Inventors: David M. Espie, Pratik Misra, Graeme Richard Wilson
  • Publication number: 20220285938
    Abstract: There is provided a method of determining and utilizing predicted available power resources from one or more renewable power sources for one or more industrial gas plants comprising one or more storage resources. The method is executed by at least one hardware processor and comprises: obtaining historical time-dependent environmental data associated with the one or more renewable power sources; obtaining historical time-dependent operational characteristic data associated with the one or more renewable power sources; training a machine learning model based on the historical time-dependent environmental data and the historical time-dependent operational characteristic data; executing the trained machine learning model to predict available power resources for the one or more industrial gas plants for a pre-determined future time period; and controlling the one or more industrial gas plants in response to the predicted available power resources for the pre-determined future time period.
    Type: Application
    Filed: March 5, 2021
    Publication date: September 8, 2022
    Applicant: Air Products and Chemicals, Inc.
    Inventors: Sanjay Mehta, Pratik Misra
  • Publication number: 20220283567
    Abstract: There is provided a method of controlling an industrial gas plant complex comprising a plurality of industrial gas plants powered by one or more renewable power sources, the method being executed by at least one hardware processor, the method comprising receiving time-dependent predicted power data for a pre-determined future time period from the one or more renewable power sources; receiving time-dependent predicted operational characteristic data for each industrial gas plant; utilizing the predicted power data and predicted characteristic data in an optimization model to generate a set of state variables for the plurality of industrial gas plants; utilizing the generated state variables to generate a set of control set points for the plurality of industrial gas plants; and sending the control set points to a control system to control the industrial gas plant complex by adjusting one or more control set points of the industrial gas plants.
    Type: Application
    Filed: March 5, 2021
    Publication date: September 8, 2022
    Applicant: Air Products and Chemicals, Inc.
    Inventors: Sanjay Mehta, Pratik Misra
  • Publication number: 20220283575
    Abstract: There is provided a method of monitoring operational characteristics of an industrial gas plant complex comprising a plurality of industrial gas plants. The method being executed by at least one hardware processor and comprising: assigning a machine learning model to each of the industrial gas plants forming the industrial gas plant complex; training the respective machine learning model for each industrial gas plant based on received historical time-dependent operational characteristic data for the respective industrial gas plant; executing the trained machine learning model for each industrial gas plant to predict operational characteristics for each respective industrial gas plant for a pre-determined future time period; and comparing predicted operational characteristic data for each respective industrial gas plant for a pre-determined future time period with measured operational characteristic data for the corresponding time period to identify deviations in industrial gas plant performance.
    Type: Application
    Filed: March 5, 2021
    Publication date: September 8, 2022
    Applicant: Air Products and Chemicals, Inc.
    Inventors: Sanjay Mehta, Pratik Misra
  • Patent number: 8882883
    Abstract: Apparatus and methods are disclosed that allow for the monitoring and analysis of production process data for a multi-step asynchronous cyclic production process (e.g. pressure swing adsorption) in a steady state plant (such as a steam methane reforming plant). Data collected from cooperating sensors is processed applying a moving window discrete Fourier transform (DFT). The transformed data can be further analyzed in the broader steady-state plant environment to accurately detect any process anomalies and avoid false alarms.
    Type: Grant
    Filed: January 9, 2013
    Date of Patent: November 11, 2014
    Assignee: Air Products and Chemicals, Inc.
    Inventors: Erdem Arslan, Debashis Neogi, Xianming Jimmy Li, Pratik Misra
  • Publication number: 20140174288
    Abstract: Apparatus and methods are disclosed that allow for the monitoring and analysis of production process data for a multi-step asynchronous cyclic production process (e.g. pressure swing adsorption) in a steady state plant (such as a steam methane reforming plant). Data collected from cooperating sensors is processed applying a moving window discrete Fourier transform (DFT). The transformed data can be further analyzed in the broader steady-state plant environment to accurately detect any process anomalies and avoid false alarms.
    Type: Application
    Filed: January 9, 2013
    Publication date: June 26, 2014
    Applicant: Air Products and Chemicals, Inc.
    Inventors: Erdem Arslan, Debashis Neogi, Xianming Jimmy Li, Pratik Misra
  • Patent number: 6723574
    Abstract: A system and method of for determining multiple uniformity metrics of a semiconductor wafer manufacturing process includes collecting a quantity across each one of a group of semiconductor wafers. The collected quantity data is scaled and a principal component analysis (PCA) is performed on the collected, scaled quantity data to produce a first set of metrics for the first group of semiconductor wafers. The first set of metrics including a first loads matrix and a first scores matrix.
    Type: Grant
    Filed: December 23, 2002
    Date of Patent: April 20, 2004
    Assignee: Lam Research Corporation
    Inventors: Andrew D. Bailey, III, Puneet Yadav, Pratik Misra
  • Publication number: 20040063230
    Abstract: A system and method of for determining multiple uniformity metrics of a semiconductor wafer manufacturing process includes collecting a quantity across each one of a group of semiconductor wafers. The collected quantity data is scaled and a principal component analysis (PCA) is performed on the collected, scaled quantity data to produce a first set of metrics for the first group of semiconductor wafers. The first set of metrics including a first loads matrix and a first scores matrix.
    Type: Application
    Filed: December 23, 2002
    Publication date: April 1, 2004
    Applicant: Lam Research Corporation
    Inventors: Andrew D. Bailey, Puneet Yadav, Pratik Misra