DK181409B1 - Method to predict and measure precipitation falling onto wind turbine blades. - Google Patents

Method to predict and measure precipitation falling onto wind turbine blades. Download PDF

Info

Publication number
DK181409B1
DK181409B1 DKPA202100167A DKPA202100167A DK181409B1 DK 181409 B1 DK181409 B1 DK 181409B1 DK PA202100167 A DKPA202100167 A DK PA202100167A DK PA202100167 A DKPA202100167 A DK PA202100167A DK 181409 B1 DK181409 B1 DK 181409B1
Authority
DK
Denmark
Prior art keywords
precipitation
blades
wind turbine
conductors
measurement
Prior art date
Application number
DKPA202100167A
Other languages
Danish (da)
Inventor
Peter Kaad Johansen Oluf
Skov Johansen Martin
Original Assignee
Pj Teknik Holding Aps
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 Pj Teknik Holding Aps filed Critical Pj Teknik Holding Aps
Priority to DKPA202100167A priority Critical patent/DK181409B1/en
Publication of DK202100167A1 publication Critical patent/DK202100167A1/en
Application granted granted Critical
Publication of DK181409B1 publication Critical patent/DK181409B1/en

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01WMETEOROLOGY
    • G01W1/00Meteorology
    • G01W1/14Rainfall or precipitation gauges
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D80/00Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

Landscapes

  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • Ecology (AREA)
  • Atmospheric Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Hydrology & Water Resources (AREA)
  • Environmental Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Wind Motors (AREA)

Abstract

Wind turbine blades are in their nature fully exposed to precipitation. When the blades rotate the speed of the blades will give rise to wear, where the blades strike precipitation. Especially the front edge of the blades near the tip, where the rotation speed is at the highest, are at high risk of wear and resulting damage. This invention describes a new method for predicting and measuring the precipitation towards the blades, giving the ability to lower the speed of the rotation to lower the wear and damage to the blades. The method is based on measurement of the electrical charge through the blades due to the conditions of the skies and air near the turbine.

Description

DK 181409 B1
Introduction
Wind turbine blades are in their nature fully exposed to precipitation. When the blades rotate the speed of the blades will give rise to wear, where the blades strike precipitation. Especially the front edge of the blades near the tip, where the air speed is at the highest, are at high risk of wear and resulting damage.
With live information on the actual precipitation affecting the blades, it is possible via the turbine control system to lower the speed of the blades to limit the wear and thereby extend the life time and delay blade maintenance service visits.
In order to control the path of a lightning strike discharge most blades make use of conductive lightning receptors placed on the surface of the blade. The receptors are connected to a lightning down conductor inside the blade, which in turn connects to the nacelle and from there the tower down to ground.
As a cost saving measure, the lightning down conductors may be used for the dual purpose of measuring the charge flow originating from the atmospheric conditions (charged particles, electric field potential) surrounding each blade.
Making use of the property that precipitation lead to a distinctly higher electrical charge flow, compared to other atmospheric conditions without precipitation, can be used as a triggering mechanism with a potentially very high reaction speed, i.e. within seconds of a first rain drop / precipitation particle hitting the blades. Exemplifying this, see figure 1.
Areas of use
The invention concerns a method for using electrical charge measurements from wind turbine blades to detect precipitation, in order to prevent or reduce wear of the blades by lowering the rotational speed of the blades.
Prior Art
Several methods exist to measure precipitation on wind turbines as stated in patents WO 2018/091056 and US 2003/0165379.
In WO 2018/091056 a number of methods for measuring rain into turbines stated as:
, DK 181409 B1 - A rain gauge, - An optical rain gauge, - An acoustic rain gauge, - A disdrometer, such as a Disdrometer RD-80 (DISTROMET AG, Zumikon, Switzerland), -An acoustic disdrometer, or - A laser drop-sizing gauge.
In US 2003/0165379 it is mentioned to have sensors to identify particles like rain and hail, but the invention does not describe the sensing methods in any detail.
A system to measure charge flow in wind turbine blades is described in the patent PA 2019 00839.
This patent describe how to measure charge flowing through wind turbine blades and the use of those measurements to detect if the down conduction system is defective. The patent does not describe any use of that system for measurement of precipitation.
In WO 2020/187832 A1 a method is described where measurement of the electrical potential of a wind turbine blade is used as an early severe weather warning system, based on threshold detection.
The method focus on the atmospheric build-up of electrical charge as a precursor to severe weather conditions, and not measurement of precipitation.
US 2012/0287549 A1 describe a lightning protecting device, where the operation relies on measurement of the voltage potential of lightning receptors on the blade. The patent does not involve measurement of precipitation.
In the Journal of Atmospheric Sciences, volume 34, November 1977, a paper titled ‘Characteristics of Raindrop Charge and Associated Electric Field in Different Types of Rain’ is presented. The paper is based on data from a measurement setup targeting detection of the charge of individual raindrops. While the data presented indicate that the average charge of rain drops can be close to 0, it also demonstrates that the charge of individual drops most often lie in the range +0.5-1.0 pC. The paper is in no way related to wind turbines, and the sensing technique is significantly different to the one proposed in the present patent.
Measurement of the charge flow through the wind turbine, or wind turbine blades, with the purpose
; DK 181409 B1 of measuring precipitation is not present in the referenced patents or journal.
The technical problem to be solved
Wear and the resulting damage to wind turbine blades are to be reduced. During periods with precipitation, and where the turbine blades are rotating during normal operation, this can be achieved by reducing the rotational speed. This will in turn reduce the relative velocity of precipitation impacting the surface of the blades, and hereby the wear.
It is of general interest to keep wind turbines operating at their designed optimum blade speed to maximize the power production capabilities. As such, it is important to impose limitations to the blade speed due to precipitation only when necessary. I.e. no 'false alarms’ and no excessive delay when indicating the end of a period of precipitation.
Starting with this baseline, the targeted properties of a precipitation detection method extends to: e Localized, i.e. detection for the individual turbine. e Non-intrusive, i.e. no additional mounting of external equipment, and associated cable routing to the inside of the turbine. e Low cost / low maintenance e No detection of heavy moisture levels, or condensation effects (dew) e Optional indication of the severity of precipitation
The new methodology
Using the electrical charge inherent to precipitation to detect its very presence on wind turbines is a novel method.
The method makes use of the property that the electrical potential at the point of condensation, i.e. clouds often more than a kilometer above ground level, is significantly different from that at ground level. In this context, ground level include the electric potential of the wind turbine structure itself.
The precipitation particle will thus carry a charge, which is equalized when impacting the wind turbine blade. This equalization is detectable via a charge flow, through the blade.
In reference to "Characteristics of Raindrop Charge and Associated Electric Field in Different Types of Rain’, using a sensor that aggregate the absolute change of charge flow over time, will provide a
4 DK 181409 B1 good correlation with the actual rate of precipitation, independent from the average charge of the precipitation. This property may as an example be obtained using a measurement circuit including a component similar to a diode bridge rectifier.
The referenced paper from the Journal of Atmospheric Sciences is indicative of a reasonable correlation between charge flow and the rate of precipitation (e.g. measured in mm/hour). Improved correlation may be obtained based on additional data for seasonal trends and general conditions of the geography in which the technology is deployed. By recording the historic charge levels detected for a specific geographic measurement point (e.g. a turbine), the thresholds defining levels of precipitation may be adapted/scaled. Examples include establishing a median of the measurements over a year, and assuming that there is no precipitation more than half the time, the threshold for no precipitation can be conservatively set to e.g. 3 times the median, based on the knowledge that precipitation usually leads to charge levels at least an order of magnitude greater than the levels seen without precipitation. In a similar fashion, as an example, a 'high’ level of precipitation can be classified based on the highest sustained charge measurement during a minute among a dataset covering a full year, by setting the threshold for 'high' levels of precipitation e.g. 3 times lower than the mentioned sustained charge measurement.
To the extent a qualitative rather than a quantitative measure is needed, the methodology of the patent may be used without local data input. In essence, the method described will be able to answer whether the level of precipitation is none, low, medium or high. The accuracy of these levels may be further refined based on additional information available either offline or online to the sensor, as exemplified in the above paragraphs.
The technical effect
Based on the new precipitation detection methodology, the following is implied: e The detection method is based on a localized measurement of the blades of the wind turbine in question. e It requires no additional external sensing equipment, since the charge flow can be measured on the inside of the turbine blade. e As it will not be directly subjected to the outdoor environment, it may be realized in a form with low maintenance need. With the potential of being added as a pure software functionality on top of a down conductor measurement system, such as that exemplified in
DK 181409 B1
PA 2019 00839, it has the potential of being offered at a comparatively low cost. e Since moisture and condensation around or on the wind turbine blades will carry the electric potential of water which has largely been at the same atmospheric level as that of the wind turbine, it will not be practically measurable. I.e. no or very low risk of detecting dew, 5 condensation or high moisture levels as precipitation. e The severity and ramp up speed of precipitation may be indicated as a relative measure based on the rise time and absolute level of the charge flow, to enable a higher efficiency level in the resulting regulation of the wind turbine blade rotational speeds.
As such, it presents an elegant method of realizing the technical problem to be solved.
Construction example
In terms of hardware, an applicable construction example may be found in PÅ 2019 00839. The new methodology may be implemented based on the description in the present patent.
Description of figures
Figure 1 shows real world precipitation as measured by a wind turbine rain gauge, centered in the figure, presented with a time synchronized overlay of the charge flow measurement of the wind turbine blades (primarily vertical lines, during periods with precipitation). The figure demonstrate the significant difference between periods with and without precipitation, in terms of the detected charge flow level.
Figure 2 illustrate a blade having receptors (1) at locations on the surface of the blade placed from the tip and down the length of the blade towards the root. The receptors are connected via a down- conductor (2). At the root end of the blade, the down-conductor is attached to the hub for further connection towards the tower and down to earth (or sea). The charge measurement system per blade is positioned at the root end of the blade as illustrated by (3).

Claims (1)

PatentkravPatent claims Krav IClaim I En metode til at måle nedbør, som falder på vindmøller, karakteriset ved måling og analyse afA method for measuring precipitation that falls on wind turbines, characterized by the measurement and analysis of 3 elektrisk ladningsstrøm igennem nedledere (figur 2, 2), i eller på vindmaøllens vinger,3 electric charge flow through down conductors (figure 2, 2), in or on the blades of the windmill, Krav 2Requirement 2 Metoden ifølge krav 1, hvori nævnte analyse inkluderer korrelation af historiske tidsserier af måling af ladningsstrøm, for adaptivt at fastsætte grænseværdier for ladningsstrøm, som benyttes til at indikere tilstedeværelse eller alvorsgraden af nedbør,The method of claim 1, wherein said analysis includes correlation of historical time series of charge flow measurements to adaptively determine threshold values of charge flow used to indicate the presence or severity of precipitation, Krav 3Requirement 3 Metoden jævnfør et vilkårligt af de foregående krav, hvori tilstedeværelsen eller alvorsgraden af nedbør benyttes til at justere rotationshastigheden for vindmøllevingerne.The method compares to any one of the preceding requirements, in which the presence or severity of precipitation is used to adjust the rotation speed of the wind turbine blades. Krav 4Requirement 4 Metoden jævnfør et vilkårligt af de foregående krav, hvori nævnte nedledere er realiseret med en vilkårlig komhination af overflade ledere eller brug af interne ledere, hvis ledere i denne kontskst også indbefatter både kabler (figur 2, 2), receptorer (figure 2, 1), overflader, og materialer som generelt anses som værende dårlige elektrisk ledere,The method according to any one of the previous claims, in which said down conductors are realized with an arbitrary combination of surface conductors or the use of internal conductors, if conductors in this context also include both cables (Figure 2, 2), receptors (Figure 2, 1) , surfaces, and materials that are generally considered to be poor electrical conductors, Krav 5Claim 5 Metoden jævnfør et vilkårligt af de foregående krav, hvori nævnte metode benyttes i parallel med andre detekterings- eller måleformål, såsom detektering af den funktionelle tilstand af nediedersystemet i sig selv.The method according to any one of the preceding claims, in which said method is used in parallel with other detection or measurement purposes, such as detection of the functional state of the nedider system itself.
DKPA202100167A 2021-02-15 2021-02-15 Method to predict and measure precipitation falling onto wind turbine blades. DK181409B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
DKPA202100167A DK181409B1 (en) 2021-02-15 2021-02-15 Method to predict and measure precipitation falling onto wind turbine blades.

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DKPA202100167A DK181409B1 (en) 2021-02-15 2021-02-15 Method to predict and measure precipitation falling onto wind turbine blades.

Publications (2)

Publication Number Publication Date
DK202100167A1 DK202100167A1 (en) 2022-08-16
DK181409B1 true DK181409B1 (en) 2023-10-23

Family

ID=82848727

Family Applications (1)

Application Number Title Priority Date Filing Date
DKPA202100167A DK181409B1 (en) 2021-02-15 2021-02-15 Method to predict and measure precipitation falling onto wind turbine blades.

Country Status (1)

Country Link
DK (1) DK181409B1 (en)

Also Published As

Publication number Publication date
DK202100167A1 (en) 2022-08-16

Similar Documents

Publication Publication Date Title
Homola et al. Ice sensors for wind turbines
US8712703B2 (en) Turbulence sensor and blade condition sensor system
CN104981699B (en) Method and system for measuring vertical wind component
US7806657B2 (en) Device for detecting damage of a wind energy turbine rotor blade due to a lightning strike
Laakso et al. State-of-the-art of wind energy in cold climates
ES2809172T3 (en) Event monitoring through signal combination
US8540936B2 (en) Turbine blade erosion sensor
Law et al. Leading edge erosion of wind turbines: Effect of solid airborne particles and rain on operational wind farms
KR100608710B1 (en) Wind power plant with a particle sensor
US20100135790A1 (en) Wind turbine blade with foreign matter detection devices
US20100111695A1 (en) Apparatus and method for detecting solid water build-up
JP6628395B2 (en) External lightning protection systems, wind turbine blades and wind turbines
CN1844849A (en) Method and system for measuring ice thickness on overheaded power transmission line
CN114450483A (en) Detection of abnormal conditions of wind turbine generator
CN113574272B (en) Method for detecting ice accumulation on a wind energy installation
US11639712B2 (en) System and method for monitoring blade deflection of wind turbines
DK181409B1 (en) Method to predict and measure precipitation falling onto wind turbine blades.
Borvarán et al. Characterization of offshore vertical wind shear conditions in Southern New England
Ronsten et al. State-of-the-art of Wind Energy in Cold Climates
CN202748054U (en) Power line ice coating on-line monitoring system
CN116777419A (en) Line icing monitoring method, system, terminal and storage medium
WO2001035109A1 (en) Method for testing an anemometer
CN111448482A (en) Method for warning about lightning activity in a wind farm
DK180378B1 (en) System to measure the relative length of a conductive wire in wind turbine blades
Bégin-Drolet et al. Commissioning of a new ice-free anemometer: 2011 Field tests at WEICan

Legal Events

Date Code Title Description
PAT Application published

Effective date: 20220816

PME Patent granted

Effective date: 20231023

PBP Patent lapsed

Effective date: 20240215