公开(公告)号：US20190331093A1

公开(公告)日：2019-10-31

申请号：US16468192

申请日：2017-11-24

Applicant: VESTAS WIND SYSTEMS A/S

Inventor： Martin QVIST

IPC: F03D7/02 ,  H04W64/00 ,  F03D7/04 ,  F03D17/00

Abstract: A control system for one or more wind turbines comprising an RF receiver used as a method for adaptively controlling the noise mode of operation of a wind turbine. Preferably, this involves multilateration to determine location of RF sources near wind turbindes of a wind turbine park. The RF receivers would detect nearby RF signals in multiple spectrums, in particular mobile telecommunication signals (GSM/UMTS), to identify and localize RF sources near to the wind turbine(s). This information is then be processed to identify which RF sources are likely to be linked to a real person near the wind turbine, and this can be used to adjust the noise mode of the wind turbine accordingly. Thereby maximizing energy production from the wind turbine in absence of nearby people, while keeping noise low when people are nearby.

公开(公告)号：US20240054267A1

公开(公告)日：2024-02-15

申请号：US17766504

申请日：2020-09-14

Applicant: VESTAS WIND SYSTEMS A/S

Inventor： Martin QVIST ,  Ana Maria Martinez FERNANDEZ ,  Hans Harhoff ANDERSEN ,  Hjalte Vinther KIEFER

IPC: G06F30/27 ,  H02J3/00

CPC classification number: G06F30/27 ,  H02J3/004 ,  G06F2113/06

Abstract: Correlated sets of historical meteorological data and terrain data are obtained for at least one geographical area. A data model is derived based on the basis of the correlated sets, by training the data model. The trained data model is adapted to identify coherence between meteorological data and terrain data relating to the same geographical area. Meteorological data and terrain data related to the renewable energy site are fed to the trained data model, the terrain data having a higher resolution than the meteorological data. Using the trained model, meteorological data related to the renewable energy site with increased resolution is estimated by downscaling the meteorological data. The estimated meteorological data with increased resolution for the renewable energy site is then used for planning a layout of the renewable energy site.

公开(公告)号：US20190155235A1

公开(公告)日：2019-05-23

申请号：US16091457

申请日：2017-03-15

Applicant: VESTAS WIND SYSTEMS A/S

Inventor： Martin QVIST ,  Jesper SCHMIDT ,  Niels Erik DANIELSEN ,  Morten Tim THORSEN

IPC: G05B19/042 ,  F03D7/04 ,  F03D17/00 ,  H04L29/08 ,  H04L12/24

Abstract: A method, controller, wind turbine, and computer program product are disclosed for collecting data from wind turbines in a wind farm. An example method generally includes receiving, from a client device, a subscription request identifying a plurality of data points to collect from a set of wind turbines. A wind farm server establishes a client interface with the client device. The wind farm server receives data points form the plurality of wind turbines and buffers the identified collected data points from the set of wind turbines in a data repository. Through the client interface, the wind farm server receives a request for data points collected from at least one wind turbine over a specified time period, and responsive to the request, transmits the requested data points to the client device. The wind farm server also may push collected data points from wind turbines to a data analysis system.

公开(公告)号：US20210254600A1

公开(公告)日：2021-08-19

申请号：US17251582

申请日：2019-05-27

Applicant: VESTAS WIND SYSTEMS A/S

Inventor： Tomislav MARIC ,  Martin QVIST ,  Line Storelvmo HOLMBERG

IPC: F03D7/04 ,  F03D7/02

Abstract: A method for forecasting power production of at least one wind turbine, the wind turbine forming part of a wind farm arranged at a site. Global weather forecast data is received at a central data centre. A site specific forecast is then generated at the central data centre, based on the global weather forecast data. The site specific forecast from the central data centre is sent to a local data centre, e.g. arranged at the site of the wind farm. Site specific data is received at the local data centre and comprises site specific weather data and/or site specific wind turbine data measured at the site. The site specific forecast is then updated at the local data centre, using the site specific data. Finally, a power production forecast of the at least one wind turbine is generated based on the updated site specific forecast.

公开(公告)号：US20200095979A1

公开(公告)日：2020-03-26

申请号：US16472939

申请日：2017-11-24

Applicant: VESTAS WIND SYSTEMS A/S

Inventor： Anders Rhod GREGERSEN ,  Jan Krogh JENSEN ,  Mehran NOURBAKHSH ,  Morten Tim THORSEN ,  Martin QVIST

IPC: F03D7/00 ,  F03D17/00 ,  G05B13/02

Abstract: A method, controller, wind turbine, and computer program product are disclosed for processing and analyzing wind turbine operational data in a distributed data analysis system. An example method generally includes obtaining, at a first data analysis system, operational data from a plurality of wind turbines in a first wind power plant, determining adjustments to wind turbine operational parameters based on the operational data, pushing the adjustments to the first wind power plant, transmitting the operational data to a second data analysis system not located at the first wind power plant, and transmitting the operational data from the first wind power plant and at least a second wind power plant to a third data analysis system, wherein the third data analysis system comprises a global data analysis system.