WO2019057550A1 - Système lidar de soutien réciproque de turbines éoliennes - Google Patents

Système lidar de soutien réciproque de turbines éoliennes Download PDF

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Publication number
WO2019057550A1
WO2019057550A1 PCT/EP2018/074448 EP2018074448W WO2019057550A1 WO 2019057550 A1 WO2019057550 A1 WO 2019057550A1 EP 2018074448 W EP2018074448 W EP 2018074448W WO 2019057550 A1 WO2019057550 A1 WO 2019057550A1
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WO
WIPO (PCT)
Prior art keywords
lidar
wind
units
mutually supportive
unit
Prior art date
Application number
PCT/EP2018/074448
Other languages
English (en)
Inventor
Henrik Stiesdal
Original Assignee
Stiesdal A/S
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Stiesdal A/S filed Critical Stiesdal A/S
Publication of WO2019057550A1 publication Critical patent/WO2019057550A1/fr

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88—Lidar systems specially adapted for specific applications
    • G01S17/95—Lidar systems specially adapted for specific applications for meteorological use
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D7/00—Controlling wind motors 
    • F03D7/02—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/04—Automatic control; Regulation
    • F03D7/042—Automatic control; Regulation by means of an electrical or electronic controller
    • F03D7/048—Automatic control; Regulation by means of an electrical or electronic controller controlling wind farms
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/02—Systems using the reflection of electromagnetic waves other than radio waves
    • G01S17/50—Systems of measurement based on relative movement of target
    • G01S17/58—Velocity or trajectory determination systems; Sense-of-movement determination systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/87—Combinations of systems using electromagnetic waves other than radio waves
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2240/00—Components
    • F05B2240/40—Use of a multiplicity of similar components
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00—Control
    • F05B2270/80—Devices generating input signals, e.g. transducers, sensors, cameras or strain gauges
    • F05B2270/804—Optical devices
    • F05B2270/8042—Lidar systems
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/72—Wind turbines with rotation axis in wind direction

Definitions

  • the present invention relates to a mutually supportive Lidar system for wind farms comprising a data acquisition system operatively and communicative connected to two or more Lidar units.
  • Each Lidar unit comprises orienting means in communication with a controller, and a Lidar.
  • the Lidar is configured with an energy source emitting a beam and a sensor unit configured for measuring the radial wind speed at a given distance.
  • Lidar systems are extensively used to mapping and have found widely use in meteorological applications for environmental and wind field mapping.
  • the use of Lidars in connection with wind turbines for measuring wind conditions has been growing and Lidars are today widely used during the process of planning and establishing wind farms.
  • the use of Lidars during operation of the wind turbines has likewise been increasing.
  • a single laser typically serves several telescopes.
  • a so-called beam splitter may be used.
  • a beamsplitter is an expensive and sensitive piece of equipment.
  • a range of commercial Lidar systems is used in relation to wind power.
  • Nacelle- mounted Lidars may be used for upwind measurements for estimating the incoming wind to a wind turbine.
  • Other systems have been proposed where the Lidar is mounted in the turbine spinner (nose cone), a so-called spinner-mounted Lidar.
  • the advantage of spinner-mounted Lidars is that they can be designed to be reconfigured remotely in order to orient the beam at a larger or smaller angle relative to the axis of rotation, thereby covering a smaller or larger cone.
  • the disadvantage of such systems is that the spinner-mounting makes it difficult to perform maintenance and repairs.
  • Today, nacelle-mounted Lidars are mainly used today for testing purposes.
  • the system provides for simultaneous measurement of the wind upstream and downstream of a wind turbine using at least one Lidar with either a single Lidar beam split into two beams or a multiple beam Lidar with a first and a second beam source. Furthermore, a system comprising multiple Lidars is disclosed where the Lidar systems are operated dependent on each other by making use of the beam source in one Lidar and the sensor unit of another Lidar thereby achieving redundancy in the atmospheric measurement system.
  • the aforementioned aspects may be achieved by a mutually supportive Lidar system for wind farms.
  • the mutually supportive Lidar system may comprise a data acquisition system operatively and communicatively connected to two or more Lidar units.
  • Each Lidar unit may comprise a Lidar.
  • Each Lidar unit may further comprise orienting means in communication with a controller.
  • Each Lidar may be configured with an energy source emitting a beam and a sensor unit.
  • Each Lidar may be configured for measuring radial wind speed at a given distance.
  • the sensor unit may be operatively connected to the energy source within each individual Lidar unit to detect scattered energy from the emitted beam, such that the indi- vidual Lidars can be configured to be operatively independent.
  • the Lidar unit may be configured with a pivotable line of sight regulated by the orienting means substantially configured as a centerline of the emitted beam running from the energy source to a measurement point.
  • the Lidar may be a pulsed Lidar or continuous wave (CW) Lidar.
  • the sensor unit may be a sensor/processor unit, wherein the sensor unit further comprises a processor.
  • the Lidar measurements may comprise other wind conditions.
  • the term wind conditions are applied as a general term in this description and thus, measuring wind conditions include measuring a radial wind speed.
  • the orienting means may be a gimbai.
  • the gimbai may be configured with a ccontinuous 360 degree rotation of azimuth.
  • the orienting means is/are by no means limited to a gimbai.
  • the orienting means may be configured with any given operational, rotation angle if the orienting means pro- vides for the Lidar units to serve the purpose of the mutually supportive Lidar system as described herein.
  • the gimbai. may further be configured with, build-in elevation of the base.
  • Present-day gimbals may provide ultra-precise angular position, rate and acceleration for development and production, testing of a wide range of systems. They may be used for directing optics, lasers, antennas and sensors at high speed to very precise pointing angles. Furthermore, present-day gimbals may require a minimum of maintenance.
  • the Lidar may comprise a substantially coherent energy source.
  • Operating the individual Lidars independent means that the sensor unit and the energy source comprised in the same Lidar are operatively connected such that the sensor unit detects scattered energy from the emitted beam. This is contrary to dependent operated Lidars where the sensor unit of one or more Lidars may be operated to detect scattered energy from the beam emitted from another Lidar.
  • each Lidar unit may look in all directions of the forward hemisphere, thereby achieving to detect gusts approaching from the side.
  • the system may incorporate the "mutually Supportive Principle” or “Musketeer Principle” of one for all, all for one, where in case one Lidar unit fails, a neighboring Lidar unit may compensate for the absence of a valid Lidar signal by looking at the neighboring field and perform the measurement. Or alternatively several neighboring Lidar units may compensate for the ab- sence of a valid Lidar signal by jointly scanning the wind field in front of the failing Lidar unit. This may be advantageous by preventing the need for reduced operation of the wind turbine or wind turbines.
  • Such compensation may be pre-programmed in the control of Lidar unit, so each Lidar is allocated a certain time slot looking forward of neighboring turbines, or allocation of time slots may be instructed during use from the data acquisition system.
  • the Lidar unit(s) may send the Lidar measurements results to the data acquisition system, which then calculates, maps or models the wind field in front of the failing Lidar unit and sends the results to the wind turbine for local control purposes.
  • the local control purposes of the wind turbine may be correction of yaw misalignment, blade pitch or other rotor speed adjustments.
  • a further effect of the embodiment may be that one or more Lidar units may be oper- ated to measure radial wind speed at several measurement points and thus allocate their measurement time to different areas including pointing the beam in directions not within the forward hemisphere, thereby providing measurement to the data acquisition system. This may be advantageous in regard to achieving the establishment of a representation of the complete wind field in a wind farm, using the data acquisition system.
  • the orienting means is/are fitted with a beam-deflecting component oriented to face the energy source and the sensor unit and arranged to deflect the beam.
  • the beam-deflecting component may be a mirror or a prism.
  • the beam-deflecting component may be mounted on a gimbal.
  • An effect of the embodiment comprising the gimbal-mounted light-deflecting component may be that Lidar unit's line of sight may be pivotable adjusted achieved with the Lidar mounted in a fixed position.
  • the gimbal-mounted light-deflecting component may provide for orienting the emitted beam in any direction within a hemisphere with any azimuth angle from 0 to 360 degree.
  • the advantage may be that the Lidar unit using a single Lidar may be used to measure at measurement points upwind, downwind or sideways from the Lidar.
  • the Lidar units are nacelle-mounted.
  • the Lidar unit is mounted in the same height as the rotor and may emit a beam substantially perpendicular to the rotor plane thereby achieving a line of sight less sensitive to errors in its angular orientation.
  • nacelle-mounted Lidars have the advantage of being less sensitive to errors in its angular orientation compared to ground-based Lidars, because a nacelle -mounted Lidar typically has a line of sight substantially in the horizontal direction, and thus measures the incoming wind on the rotor plane as the cosine component.
  • the ground-based Lidars measures in a direction closer to a vertical direction typically with an oblique angel to the vertical, and thus measures the incoming wind on the rotor plane as the sine component.
  • the individual Lidar units are mounted on selected wind turbines.
  • mapping the wind field may be accomplished using a total of less than one Lidar per wind turbine in a wind farm, if the wind farm comprises at least three wind turbines to benefit from the mutually supportive system. This may be advantageous in regard to installation and maintenance costs. Furthermore, if the Lidar units are mounted in an optimized way, the mutually supportive system may provide for adequate coverage using less than one Lidar per wind turbine in a wind farm even in the case one or more Lidar unit fails.
  • the effect of the mutually supportive system is that when a Lidar unit fails the other Lidar units assures adequate coverage to measure the relevant wind fields for all the relevant wind turbines, thereby achieving continued operation of all the relevant wind turbines during the downtime of a failing Lidar unit.
  • the Lidar unit comprises a telescope fitted to the Lidar.
  • a high-powered laser may be used with a simple optical unit comprising a single, large-aperture telescope to give accurate readings at long distances. This is advantageous in regard to eliminating the need for using any kind of beam splitters.
  • the large-aperture telescope may be adjust- able with the effect of adjusting the focus point and thereby achieving that the measurement point may be altered not only in angular direction but also in distance.
  • the data acquisition system collects wind data from the communicative connected Lidar units.
  • the data acquisition system may collect all the data from all the communicative connected Lidar units thereby achieving a data set with a large amount of data to map the actual measured wind field covered by the system. It may be further advantageous in regard to establishing the base for further ex- trapolation to establish a representation of the complete wind field in a wind farm. Furthermore, the collected data may be used for predicting or forecasting wind fields in a local field or for a selected area.
  • the data acquisition system comprises a control system that communi- cates with the individual Lidar units to direct the Lidar beam to specified directions and/or distances, and a processing system that processes the collected wind data from one or more of the communicatively connected Lidars to create a wind field representation of a wind field for one or more selected areas.
  • the control system comprised in the acquisition system may configure the sensor unit to measure the radial wind speed at a given distance and/or in a given direction.
  • the given distance and/or direction may be any specified distance and/or direction within the reach of the Lidar unit(s).
  • the selected area(s) is(are) upwind from one or more wind turbines, downwind from one or more wind turbines, sideways from one or more wind turbines and/or for the entire area of the wind farm.
  • An effect of this embodiment is that the operation of each Lidar units may from time to time be altered to allocate time slots to measure in different direction and distances than their normal operation. These alterations may precisely may allocation of time slots and thus be incorporated as part of the normal operation.
  • the operation of a Li- dar unit may include time slots allocated to determining local wind field for the turbine on which it is mounted, time slots allocated to measure neighboring wind field(s), time slots allocated to measure down wind, and/or time slots allocated to measure elsewhere to provide data for characterizing the complete wind farm wind field. This has the advantage that the time slots may be adjusted continuously as a consequence of conditions, failing neighboring Lidar units, wake steering needs, amongst others. The time slots may be adjusted both in regard to purpose and time length.
  • a further effect of this embodiment is the complete wind farm wind field may be mapped, which may advantageously be used for control purposes, such as wake steering.
  • the mapping may comprise the measured data, a representation of the measured data including extrapolation of the data set, predicted or forecasted wind field based on the actual measured data or any other relevant model representation of the wind field based on the collected wind data.
  • the mutually supportive Lidar system when installed in a wind farm the mutually supportive Lidar system according to the invention comprises:
  • a mirror, prism or other light-deflecting component mounted on a gimbal
  • a processing system that uses the information from all the Lidars to create a representation of the wind field in front of all the wind turbines and in the wind farm.
  • An object of the invention may be achieved by a method of mapping a wind field in a wind farm.
  • the method may comprise an act of communicating between a data acquisition system and two or more Lidar units.
  • the method may further comprise an act of operating two or more Lidar units from a data acquisition system.
  • the operating act may include orienting the beam emitted by the individual Lidar units by use of orienting means.
  • the orienting means may be in communication with a controller.
  • the method may further comprise an act of measuring radial wind speed at a given distance and/or direction using independently operated Lidars.
  • independently operated Lidars means that the sensor unit and the energy source comprised in the same Lidar are operatively connected such that the sensor unit detects scattered energy from the emitted beam. This is contrary to dependent operated Lidars where the sensor unit of one or more Lidars may be operated to detect scattered energy from the beam emitted from another Lidar.
  • the Lidars units may comprise orienting means.
  • the orienting means may provide for an orienting angle of the Lidar and/or the Lidar beam.
  • the orienting means may be configured with a continuous angle rotation of up to 360 degree rotation of azimuth.
  • a further objective of the invention may be achieved by a method for mapping a wind field in a wind farm using a total of less than one Lidar per wind turbine.
  • One effect of the embodiment may be that in case one Lidar unit fails a neighboring Lidar unit may compensate for the absence of a valid Lidar signal by looking at the neighboring field and perform the measurement. Or alternatively several neighboring Lidar units may compensate for the absence of a valid Lidar signal by jointly scanning the wind field in front of the failing Lidar unit, hereby achieving a "mutually Supportive Principle” or “Musketeer Principle” of one for all, all for one. This may be advantageous by preventing the need for reduced operation of the wind turbine or wind tur- bines.
  • each Lidar is allocated a certain time slot looking forward of neighboring turbines, or allocation of time slots may be instructed during use from the data acquisition system.
  • the Lidar unit(s) may send the Lidar measurements results to the data acquisition system, which then calculates, maps or models the wind field in front of the failing Lidar unit and sends the results to the wind turbine for local control purposes.
  • the local control purposes of the wind turbine may be correction of yaw misalignment, blade pitch or other rotor speed adjustments.
  • a further effect of the embodiment may be that one or more Lidar units may be operated to measure wind conditions at several measurement points and thus allocate their measurement time to different areas including pointing the beam in directions not within the forward hemisphere, thereby providing measurement to the data acquisition system. This may be advantageous in regard to achieving the establishment of a representation of the complete wind field in a wind farm, using the data acquisition system.
  • a further objective of the invention may be achieved by a method for mapping a wind field in a wind farm using a mutually supportive Lidar system as described in the previous embodiments.
  • Figure 1 illustrates one embodiment of the mutually supportive Lidar system.
  • FIG. 2 illustrates one embodiment of the Lidar unit.
  • Figure 3 illustrates one embodiment of the nacelle -mounted Lidar unit.
  • Figure 4 illustrates one embodiment of the mutually supportive Lidar system used in a wind farm.
  • Figure 5 illustrates on embodiment of the method for mapping a wind field in a wind farm.
  • FIG. 1 illustrates one embodiment of the mutually supportive Lidar system 1.
  • the system is illustrated with two Lidar units 4 each comprising a Lidar 5 configured with a sensor unit 7 and an energy source 6.
  • the Lidar emits a beam 10 with a line of sight 11.
  • the line of sight 11 is illustrated by a dotted line.
  • the line of sight is defined as the centre of the beam and extends from the energy source 6 to a measurement point 12 within a selected area 60.
  • the selected area 60 is the area or part of the area for which the wind field 54 (not illustrated) is measured.
  • the illustrated Lidar unit further comprises orienting means 8 - here illustrated as a gimbal 14 - mounted with a beam- deflecting component, such that the beam may be oriented in different directions and angles.
  • the Lidar units 4 are operatively and communicative connected to the data acquisition system 2. In the illustrated embodiment the correspondence is in both direction between the individual Lidar unit 4 and the data acquisition system 2. The figure further illustrates how additional Lidar units 4 may be added to the system with each operatively and communicative connected to the data acquisition system 2. The communication in the system may not be limited to this.
  • Figure 2 illustrates one embodiment of the Lidar unit 4 comprising a Lidar 5, an optical element which here is a telescope 20 adapted to the Lidar 5, orienting means 8 - here illustrated as a gimbal 14 - mounted with a beam-deflecting component 30 and a controller 9 controlling the gimbal 8.
  • the beam-deflecting component 30 may be a mirror 31 or a prism 32.
  • the gimbal 8 may be pivotable adjustable in one or more directions.
  • the gimbal is illustrated to be pivotable around two non-parallel axes.
  • Using a gimbal 8 as illustrated and described for this embodiment ensures that the Lidar unit 4 is configured with a pivotable line of sight 11 (illustrated in figure 1).
  • Other embodiments may include that the gimbal 8 is mounted differently in the Lidar unit 4 but with the same purpose of achieving a Lidar unit 4 configured with a pivot- able line of sight.
  • FIG 3 illustrates one embodiment with a Lidar unit 4 mounted on the nacelle 120 of a wind turbine 110.
  • the wind turbine is illustrated with the rotor plane of the blades and the wind hitting the blades front the front.
  • the Lidar unit may measure the wind field upwind, which is in front of the rotor plane.
  • the Lidar may measure the wind field in the opposite direction i.e. looking backwards to measure the wake.
  • the Lidar may measure the wind field to the sides of the wind turbine 110 in either direction to measure the wind field hitting the rotor with a slanting direction to the rotor plane or even parallel to the nacelle or rotor plane.
  • Figure 4 illustrates one embodiment of the mutually supportive Lidar system used in a wind farm 100.
  • the wind farm is illustrated with a first row 101 of wind turbines 110 and a second row 102 of wind turbines 110.
  • Three of the wind turbines 110 in the first row 101 are each illustrated with a nacelle-mounted Lidar unit 4 with the lines of sight 11 illustrated to indicate which wind field 54 is measured.
  • the Lidar unit 4 on the first wind turbine 111 on the top left is illustrated to measure the local field 55 upwind from the wind turbine 110.
  • the Lidar unit 4 on the second wind turbine 112 is illustrated to measure the neighbour fields 56 upwind from the respective wind turbines 110, here the first 111 and the third wind turbine 113.
  • the Lidar unit 4 on the third wind turbine 113 in the first row 101 is illustrated to measure the local field 55 surrounding the wind turbine 110, 113 - upwind and sideways for the incoming wind field and gusts, and downwind for the wake 57.
  • FIG. 5 illustrates one embodiment of the method 200 for mapping a wind field in a wind farm.
  • the method 200 comprises an act of communicating 210 between a data acquisition system 2 and two or more Lidar units 4.
  • the method 200 further comprises an act of operating 212 two or more Lidar units 4 from the data acquisition system 2.
  • Each Lidar unit 4 may comprise a Lidar which may be independently operated and used for measuring 214 wind conditions. The measurements may include measuring 214 radial wind speed at a given distance and/or direction.
  • the Lidar units may com- prise orienting means, which may provide for an orienting angle of the Lidar and/or the Lidar beam.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Sustainable Energy (AREA)
  • General Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Combustion & Propulsion (AREA)
  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Wind Motors (AREA)

Abstract

La présente invention concerne un système Lidar de soutien réciproque de parcs éoliens comprenant un système d'acquisition de données connecté fonctionnellement et en communication avec au moins deux unités Lidar. Chaque unité Lidar comprend un moyen d'orientation en communication avec un dispositif de commande, et un Lidar. Le Lidar est conçu avec une source d'énergie émettant un faisceau et une unité de capteur/processeur conçue pour des mesures de vitesses de vent radiales.
PCT/EP2018/074448 2017-09-19 2018-09-11 Système lidar de soutien réciproque de turbines éoliennes WO2019057550A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DKPA201770702 2017-09-19
DKPA201770702 2017-09-19

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Publication Number Publication Date
WO2019057550A1 true WO2019057550A1 (fr) 2019-03-28

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110531107A (zh) * 2019-09-09 2019-12-03 中国科学技术大学 大尺度风墙风场的监测支撑组件和监测试验设备

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US20110149268A1 (en) * 2009-12-17 2011-06-23 Marchant Alan B Dynamic 3d wind mapping system and method
WO2011150942A1 (fr) * 2010-06-04 2011-12-08 Vestas Wind Systems A/S Anémomètre doppler d'éolienne amélioré
WO2013004893A1 (fr) * 2011-07-01 2013-01-10 Teknologian Tutkimuskeskus Vtt Procédé et dispositif de détection du givrage
US20150233962A1 (en) * 2009-07-29 2015-08-20 Michigan Aerospace Corporation Atmospheric measurement system
GB2541669A (en) * 2015-08-24 2017-03-01 Sgurrenergy Ltd Remote sensing device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150233962A1 (en) * 2009-07-29 2015-08-20 Michigan Aerospace Corporation Atmospheric measurement system
US20110149268A1 (en) * 2009-12-17 2011-06-23 Marchant Alan B Dynamic 3d wind mapping system and method
WO2011150942A1 (fr) * 2010-06-04 2011-12-08 Vestas Wind Systems A/S Anémomètre doppler d'éolienne amélioré
WO2013004893A1 (fr) * 2011-07-01 2013-01-10 Teknologian Tutkimuskeskus Vtt Procédé et dispositif de détection du givrage
GB2541669A (en) * 2015-08-24 2017-03-01 Sgurrenergy Ltd Remote sensing device

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110531107A (zh) * 2019-09-09 2019-12-03 中国科学技术大学 大尺度风墙风场的监测支撑组件和监测试验设备

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