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 PDFInfo
- 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
Links
- 238000001556 precipitation Methods 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000005259 measurement Methods 0.000 claims abstract description 22
- 239000004020 conductor Substances 0.000 claims description 11
- 238000001514 detection method Methods 0.000 claims description 9
- 239000000463 material Substances 0.000 claims 1
- 238000009833 condensation Methods 0.000 description 4
- 230000005494 condensation Effects 0.000 description 4
- 239000002245 particle Substances 0.000 description 4
- 230000005684 electric field Effects 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000003116 impacting effect Effects 0.000 description 2
- 230000002459 sustained effect Effects 0.000 description 2
- 239000003795 chemical substances by application Substances 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000002243 precursor Substances 0.000 description 1
- 230000036632 reaction speed Effects 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 238000004513 sizing Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 230000008685 targeting Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/14—Rainfall or precipitation gauges
-
- 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
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
-
- 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
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.
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.
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)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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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 |
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DK202100167A1 DK202100167A1 (en) | 2022-08-16 |
DK181409B1 true DK181409B1 (en) | 2023-10-23 |
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DKPA202100167A DK181409B1 (en) | 2021-02-15 | 2021-02-15 | Method to predict and measure precipitation falling onto wind turbine blades. |
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DK (1) | DK181409B1 (en) |
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2021
- 2021-02-15 DK DKPA202100167A patent/DK181409B1/en not_active IP Right Cessation
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DK202100167A1 (en) | 2022-08-16 |
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Date | Code | Title | Description |
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PAT | Application published |
Effective date: 20220816 |
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PME | Patent granted |
Effective date: 20231023 |
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PBP | Patent lapsed |
Effective date: 20240215 |