Patents by Inventor Siddhanth CHANDRASHEKAR
Siddhanth CHANDRASHEKAR 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).
-
Patent number: 10385829Abstract: The present disclosure is directed to systems and methods for generating one or more farm-level power curves for a wind farm that can be used to validate an upgrade provided to the wind farm. The method includes operating the wind farm in a first operational mode. Another step includes collecting turbine-level operational data from one or more of the wind turbines in the wind farm during the first operational mode. The method also includes aggregating the turbine-level operational data into a representative farm-level time-series. Another step includes analyzing the operational data collected during the first second operational mode. Thus, the method also includes generating one or more farm-level power curves for the first operational mode based on the analyzed operational data.Type: GrantFiled: May 11, 2016Date of Patent: August 20, 2019Assignee: General Electric CompanyInventors: Megan Wilson, Stefan Kern, Siddhanth Chandrashekar, Dongjai Lee, Sara Delport, Akshay Ambekar, Subhankar Ghosh
-
Patent number: 10260481Abstract: The present disclosure is directed to a system and method for assessing farm-level performance of a wind farm. The method includes operating the wind farm in a first operational mode and identifying one or more pairs of wind turbines having wake interaction. The method also includes generating a pairwise dataset for the wind turbines pairs. Further, the method includes generating a first wake model based on the pairwise dataset and predicting a first farm-level performance parameter based on the first wake model. The method also includes operating the wind farm in a second operational mode and collecting operational data during the second operational mode. Moreover, the method includes predicting a first farm-level performance parameter for the second operational mode using the first wake model and the operational data from the second operational mode. The method further includes determining a second farm-level performance parameter during the second operational mode.Type: GrantFiled: June 28, 2016Date of Patent: April 16, 2019Assignee: General Electric CompanyInventors: Megan Wilson, Stefan Kern, Siddhanth Chandrashekar, Akshay Ambekar
-
Patent number: 10138873Abstract: A computer-implemented method for recalibrating nacelle-positions of a plurality of wind turbines in a wind park is implemented by a nacelle calibration computing device including a processor and a memory device coupled to the processor. The method includes identifying at least two associated wind turbines included within the wind park wherein each associated wind turbine includes location information, determining a plurality of predicted wake features for the associated wind turbines based at least partially on the location information of each associated wind turbine, retrieving a plurality of historical performance data related to the associated wind turbines, determining a plurality of current wake features based on the plurality of historical performance data, identifying a variance between the predicted wake features and the current wake features, and determining a recalibration factor for at least one of the associated wind turbines based on the identified variance.Type: GrantFiled: May 30, 2014Date of Patent: November 27, 2018Assignee: GENERAL ELECTRIC COMPANYInventors: Peter Alan Gregg, Megan Michela Wilson, Siddhanth Chandrashekar, Vineel Chandrakanth Gujjar, Manisha Srivastava, Colin Craig McCulloch
-
Patent number: 10100813Abstract: Methods and systems for optimizing operation of a wind farm are disclosed. The method includes providing a farm-level wake model for the wind farm based on historical wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Another step includes monitoring one or more real-time wake parameters for wind turbines in the wind farm. A further step includes identifying at least two interacting wind turbines from the reference sets based on the wake parameters. Another step includes determining a wake offset angle between the interacting wind turbines as a function of at least one of a wind direction, a geometry between the interacting wind turbines, or a wake meandering component. The method also includes continuously updating the wake model online based at least partially on the wake parameters and the wake offset angle and controlling the interacting wind turbines based on the updated wake model.Type: GrantFiled: November 24, 2014Date of Patent: October 16, 2018Assignee: General Electric CompanyInventors: Vishal Cholapadi Ravindra, Akshay Krishnamurty Ambekar, Siddhanth Chandrashekar
-
Publication number: 20170370348Abstract: The present disclosure is directed to a system and method for assessing farm-level performance of a wind farm. The method includes operating the wind farm in a first operational mode and identifying one or more pairs of wind turbines having wake interaction. The method also includes generating a pairwise dataset for the wind turbines pairs. Further, the method includes generating a first wake model based on the pairwise dataset and predicting a first farm-level performance parameter based on the first wake model. The method also includes operating the wind farm in a second operational mode and collecting operational data during the second operational mode. Moreover, the method includes predicting a first farm-level performance parameter for the second operational mode using the first wake model and the operational data from the second operational mode. The method further includes determining a second farm-level performance parameter during the second operational mode.Type: ApplicationFiled: June 28, 2016Publication date: December 28, 2017Inventors: Megan Wilson, Stefan Kern, Siddhanth Chandrashekar, Akshay Ambekar
-
Publication number: 20170328348Abstract: The present disclosure is directed to systems and methods for generating one or more farm-level power curves for a wind farm that can be used to validate an upgrade provided to the wind farm. The method includes operating the wind farm in a first operational mode. Another step includes collecting turbine-level operational data from one or more of the wind turbines in the wind farm during the first operational mode. The method also includes aggregating the turbine-level operational data into a representative farm-level time-series. Another step includes analyzing the operational data collected during the first second operational mode. Thus, the method also includes generating one or more farm-level power curves for the first operational mode based on the analyzed operational data.Type: ApplicationFiled: May 11, 2016Publication date: November 16, 2017Inventors: Megan Wilson, Stefan Kern, Siddhanth Chandrashekar, Dongjai Lee, Sara Delport, Akshay Ambekar, Subhankar Ghosh
-
Patent number: 9551322Abstract: Embodiments of methods and systems for optimizing operation of a wind farm are presented. The method includes receiving new values corresponding to at least some wake parameters for wind turbines in the wind farm. The method further includes identifying new sets of interacting wind turbines from the wind turbines based on the new values. Additionally, the method includes developing a farm-level predictive wake model for the new sets of interacting wind turbines based on the new values and historical wake models determined using historical values of the wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Furthermore, the method includes adjusting one or more control settings for at least the new sets of interacting wind turbines based on the farm-level predictive wake model.Type: GrantFiled: April 21, 2015Date of Patent: January 24, 2017Assignee: GENERAL ELECTRIC COMPANYInventors: Akshay Krishnamurty Ambekar, Krishnarao Dattaram Dhuri, Siddhanth Chandrashekar, Kalpit Vikrambhai Desai, Anup Menon
-
Publication number: 20160146190Abstract: Methods and systems for optimizing operation of a wind farm are disclosed. The method includes providing a farm-level wake model for the wind farm based on historical wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Another step includes monitoring one or more real-time wake parameters for wind turbines in the wind farm. A further step includes identifying at least two interacting wind turbines from the reference sets based on the wake parameters. Another step includes determining a wake offset angle between the interacting wind turbines as a function of at least one of a wind direction, a geometry between the interacting wind turbines, or a wake meandering component. The method also includes continuously updating the wake model online based at least partially on the wake parameters and the wake offset angle and controlling the interacting wind turbines based on the updated wake model.Type: ApplicationFiled: November 24, 2014Publication date: May 26, 2016Inventors: Vishal Cholapadi Ravindra, Akshay Krishnamurty Ambekar, Siddhanth Chandrashekar
-
Publication number: 20150345476Abstract: A computer-implemented method for recalibrating nacelle-positions of a plurality of wind turbines in a wind park is implemented by a nacelle calibration computing device including a processor and a memory device coupled to the processor. The method includes identifying at least two associated wind turbines included within the wind park wherein each associated wind turbine includes location information, determining a plurality of predicted wake features for the associated wind turbines based at least partially on the location information of each associated wind turbine, retrieving a plurality of historical performance data related to the associated wind turbines, determining a plurality of current wake features based on the plurality of historical performance data, identifying a variance between the predicted wake features and the current wake features, and determining a recalibration factor for at least one of the associated wind turbines based on the identified variance.Type: ApplicationFiled: May 30, 2014Publication date: December 3, 2015Inventors: Peter Alan Gregg, Megan Michela Wilson, Siddhanth Chandrashekar, Vineel Chandrakanth Gujjar, Manisha Srivastava, Colin Craig McCulloch
-
Publication number: 20150308416Abstract: Embodiments of methods and systems for optimizing operation of a wind farm are presented. The method includes receiving new values corresponding to at least some wake parameters for wind turbines in the wind farm. The method further includes identifying new sets of interacting wind turbines from the wind turbines based on the new values. Additionally, the method includes developing a farm-level predictive wake model for the new sets of interacting wind turbines based on the new values and historical wake models determined using historical values of the wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Furthermore, the method includes adjusting one or more control settings for at least the new sets of interacting wind turbines based on the farm-level predictive wake model.Type: ApplicationFiled: April 21, 2015Publication date: October 29, 2015Inventors: Akshay Krishnamurty AMBEKAR, Krishnarao Dattaram DHURI, Siddhanth CHANDRASHEKAR, Kalpit Vikrambhai DESAI, Anup MENON