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公开(公告)号:US20240170986A1
公开(公告)日:2024-05-23
申请号:US17992065
申请日:2022-11-22
Applicant: Honeywell International Inc.
Inventor: Sameer D. Manikfan , Andrew J. Trenchard
IPC: H02J7/00 , G05B19/042 , H02J3/00
CPC classification number: H02J7/0071 , G05B19/042 , H02J3/003 , H02J3/004 , H02J7/0048 , G05B2219/2639 , H02J2203/20
Abstract: A method and system for a virtual peaker power plant (VPPP) that develops scheduler models for grid interactive power flow between an aggregation of multiple microgrids or stand-alone distributed energy resources (DERs), controlled by the VPPP and a main electrical grid. The VPPP provides day ahead forecasts for grid demand and costs of electrical power determined from external sources. Grid peak prediction software executing in the VPPP develops day ahead forecasts and day ahead schedules for power generation demand, energy storage and load dispatch from the data supplied by multiple microgrids connected to the VPPP. The VPPP generates and downloads a scheduler model for each microgrid to a controller controlling the microgrid. The controller uses the scheduler model to develop schedules and demand forecasts for the microgrid.
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公开(公告)号:US20240288411A1
公开(公告)日:2024-08-29
申请号:US18114094
申请日:2023-02-24
Applicant: Honeywell International Inc.
Inventor: Andrew J. Trenchard , Bas Kastelein
CPC classification number: G01N33/0075 , G01N33/0011 , G01W1/06 , G01N33/0068
Abstract: A method and system for determining the size of a gas emission expelled from a processing facility includes obtaining gas sensor data from a plurality of gas sensors and wind speed and direction data from at least one weather station located at the processing facility. The wind speed and direction data is correlated with the gas sensor data to triangulate a location of the gas emission. A mean concentration of the gas emission is calculated, and the size of the gas emission is estimated by using at least one of a base calculation model, a gaussian plume (GP) model fit, or an event probability model fit.
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公开(公告)号:US20220308533A1
公开(公告)日:2022-09-29
申请号:US17210948
申请日:2021-03-24
Applicant: Honeywell International Inc.
Inventor: Alen Robert , Andrew J. Trenchard , Anand Narayan
IPC: G05B13/04 , G05B19/418
Abstract: A method and device is provided that uses historical process data for an industrial process run by an industrial process control and automation system having processing equipment and identified by tag names. The tag names and process data are stored in a database, and a processor and a memory implement a Key Performance Indicator (KPI) tag system, that identifies primary and secondary KPIs from the list of tag names and data values stored in the database and extracts a set of KPI tags from the primary and secondary KPIs storing the extracted KPI tags in the memory. In another embodiment the KPI tag system imports all of the Human Machine Interface (HMI) display files used in the industrial process and identifies the display file tag names and links to other HMI display files. Using an asset model of the process plant and the links to the other HMI displays, the Level 1 HMI displays are identified and KPI tag system generates and stores the KPI tags for the identified Level 1 HMI displays.
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公开(公告)号:US20250047105A1
公开(公告)日:2025-02-06
申请号:US18229651
申请日:2023-08-02
Applicant: Honeywell International Inc.
Inventor: Sameer D. Manikfan , Andrew J. Trenchard
Abstract: The method and system manages energy flows between an electrical grid and a plurality of microgrids that deploy at least one battery energy storage system, and which are controlled by a microgrid controller. A central controller receives electrical grid information from external sources and is arranged to generate an aggregate long-term schedule and an aggregate short-term schedule for energy flows and energy prices for the plurality microgrids connected to the central controller. A microgrid scheduler associated with each microgrid includes a long-term day(s) ahead scheduler that receives the aggregating long-term schedule and a short-term near real-time scheduler that receives the aggregate short-term schedule. The long-term day(s) ahead scheduler is arranged to generate a microgrid long-term schedule that controls energy flows between the electrical grid and each microgrid and its connected battery energy storage system that is corrected by a microgrid short-term near real-time schedule generated by the microgrid short-term near real-time scheduler.
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公开(公告)号:US20230396067A1
公开(公告)日:2023-12-07
申请号:US17831221
申请日:2022-06-02
Applicant: Honeywell International Inc.
Inventor: Sameer D. Manikfan , Santhosh Mathew , Dinesh Kumar KN , Andrew J. Trenchard
CPC classification number: H02J3/32 , H02J7/02 , H02J7/0068 , H02J7/00712 , H02J7/0047
Abstract: A battery energy storage system is disclosed that receives energy from an electrical grid and supplies electrical energy to one or more microgrids. The battery energy storage system comprises a power conversion system arranged to charge a battery with the energy from the electrical grid and discharge the battery to supply electrical energy to the one or more microgrids. An energy control system controller communicatively coupled to the power conversion system manages the energy drawn from the electrical grid to charge the battery and to manage the energy discharged from the battery to supply electrical energy to the one or more microgrids.
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公开(公告)号:US20230375431A1
公开(公告)日:2023-11-23
申请号:US18120602
申请日:2023-03-13
Applicant: Honeywell International Inc.
Inventor: Andrew J. Trenchard , Sean Scoggins , Bas Kastelein
IPC: G01M3/16
CPC classification number: G01M3/16
Abstract: A method and system for locating and quantifying fugitive gas emission leaks includes obtaining gas sensor data and wind direction data from a plurality of sensors and weather stations located proximate a given area of interest. The gas sensor data and the wind direction data is validated to remove erroneous values and to merge the gas sensor data with the wind direction data to provide time synchronized gas sensor data and wind direction data over a given time interval. The time synchronized gas sensor data and wind direction data is segmented for each gas sensor location into wind direction bins containing a concentration of the gas levels in each bin. The area of interest is divided into a grid of cells and the bins projected on the grid cells for each gas sensor location along with the level of gas contained in the bins. The grid cells are then grouped into one or more contiguous grid cells having gas levels above a predefined level and a boundary area is calculated containing the grid cells with a gas level above a threshold to identify a potential leak area. The potential leak area is matched with a prior calculated leak area to identify the source location of the emission leak.
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