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CN103776485A - Wind electric field wind measurement tower virtualization method - Google Patents

Wind electric field wind measurement tower virtualization method Download PDF

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Publication number
CN103776485A
CN103776485A CN201210397530.5A CN201210397530A CN103776485A CN 103776485 A CN103776485 A CN 103776485A CN 201210397530 A CN201210397530 A CN 201210397530A CN 103776485 A CN103776485 A CN 103776485A
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CN
China
Prior art keywords
wind
blower fan
wind speed
sensor
center
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CN201210397530.5A
Other languages
Chinese (zh)
Inventor
刘纯
冯双磊
王勃
姜文玲
卢静
张菲
车建峰
杨红英
赵艳青
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Jiangsu Electric Power Co Ltd
CLP Puri Zhangbei Wind Power Research and Test Ltd
Original Assignee
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Jiangsu Electric Power Co Ltd
CLP Puri Zhangbei Wind Power Research and Test Ltd
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 State Grid Corp of China SGCC, China Electric Power Research Institute Co Ltd CEPRI, State Grid Jiangsu Electric Power Co Ltd, CLP Puri Zhangbei Wind Power Research and Test Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201210397530.5A priority Critical patent/CN103776485A/en
Publication of CN103776485A publication Critical patent/CN103776485A/en
Pending legal-status Critical Current

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Abstract

The invention discloses a wind electric field wind measurement tower virtualization method. The method comprises the following steps: S1, installing a temperature sensor, a wind speed sensor and a wind direction sensor at the center of a blower fan wheel hub; S2, utilizing the temperature sensor, the wind speed sensor and the wind direction sensor to respectively measure the temperature, the wind speed and the wind direction of the center of the blower fan wheel hub; S3, calculating the wind speeds and the wind directions of positions 10m, 30m, 50m and 70m away from a blower fan through the wind speed and the wind direction of the center of the blower fan wheel hub; and S4, measuring the air pressure and the humidity of a position 10m below the blower fan. The method provided by the invention can measure the temperature, the wind speed and the wind direction by arranging the sensors at the center of the blower fan wheel hub, and can speculate and calculate the corresponding wind speeds and wind directions of other heights of the blower fan through measured data, so that while wind energy information is obtained, the expenses are saved, and the wind energy generating cost is also saved.

Description

Wind energy turbine set anemometer tower virtual method
Technical field
The present invention relates to a kind of wind energy turbine set anemometer tower virtual method, particularly relate to a kind of data that can measure by axial fan hub center and calculate the wind energy turbine set anemometer tower virtual method of whole wind energy information.
Background technology
Along with the widespread use of wind-power electricity generation, wind energy turbine set has all been set up in a lot of places, and generally, all to build at wind energy turbine set place more than one anemometer tower, be used for measuring wind energy information, concrete as apart from ground 10m, 30m, 50m, 70 and the information such as wind speed, wind direction, temperature, air pressure and the humidity of wheel hub eminence, thus be used as grasping the foundation of on-the-spot wind energy resources situation by analyzing these information.
But, set up an on-the-spot anemometer tower and generally all will invest hundreds thousand of units, therefore obtain the cost of wind energy informational needs by anemometer tower too large, cause very large waste.
Summary of the invention
The technical problem to be solved in the present invention is to set up in order to overcome in prior art the defect that on-the-spot anemometer tower cost is very high, cause very large waste, provides a kind of data that can measure by axial fan hub center to calculate the wind energy turbine set anemometer tower virtual method of whole wind energy information.
The present invention solves above-mentioned technical matters by following technical proposals:
The invention provides a kind of wind energy turbine set anemometer tower virtual method, its feature is, it comprises the following steps:
S 1, a temperature sensor, an air velocity transducer and a wind transducer be installed in axial fan hub center;
S 2, utilize this temperature sensor, this air velocity transducer and this wind transducer to measure respectively temperature, wind speed and the wind direction of axial fan hub center;
S 3, wind speed by axial fan hub center and aerovane calculate wind speed and the wind direction at blower fan 10m, 30m, 50m and 70m place;
S 4, measure air pressure and humidity below blower fan 10m.
Preferably, step S 4middle respectively by a baroceptor and humidity sensor measurement air pressure and a humidity.
Positive progressive effect of the present invention is: the present invention can measure temperature, wind speed and wind direction by sensor being set in axial fan hub center, and can calculate by the data-speculative recording corresponding wind speed and the wind direction of other height of blower fan, thereby can in obtaining wind energy information, save cost, also save the cost of wind power generation.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the wind energy turbine set anemometer tower virtual method of a preferred embodiment of the present invention.
Embodiment
Provide preferred embodiment of the present invention below in conjunction with accompanying drawing, to describe technical scheme of the present invention in detail.
As shown in Figure 1, wind energy turbine set anemometer tower virtual method of the present invention comprises the following steps:
Step 100, a temperature sensor, an air velocity transducer and a wind transducer are installed in axial fan hub center.
Step 101, utilize this temperature sensor, this air velocity transducer and this wind transducer to measure respectively temperature, wind speed and the wind direction of axial fan hub center.
Step 102, wind speed by axial fan hub center and aerovane calculate wind speed and the wind direction at blower fan 10m, 30m, 50m and 70m place.
Step 103, measure air pressure and humidity below blower fan 10m, so far flow process finishes.
And in specific implementation process, in step 103, can pass through respectively a baroceptor and humidity sensor measurement air pressure and a humidity.
Although more than described the specific embodiment of the present invention, it will be understood by those of skill in the art that these only illustrate, protection scope of the present invention is limited by appended claims.Those skilled in the art is not deviating under the prerequisite of principle of the present invention and essence, can make various changes or modifications to these embodiments, but these changes and modification all fall into protection scope of the present invention.

Claims (2)

1. a wind energy turbine set anemometer tower virtual method, is characterized in that, it comprises the following steps:
S 1, a temperature sensor, an air velocity transducer and a wind transducer be installed in axial fan hub center;
S 2, utilize this temperature sensor, this air velocity transducer and this wind transducer to measure respectively temperature, wind speed and the wind direction of axial fan hub center;
S 3, wind speed by axial fan hub center and aerovane calculate wind speed and the wind direction at blower fan 10m, 30m, 50m and 70m place;
S 4, measure air pressure and humidity below blower fan 10m.
2. wind energy turbine set anemometer tower virtual method as claimed in claim 1, is characterized in that step S 4middle respectively by a baroceptor and humidity sensor measurement air pressure and a humidity.
CN201210397530.5A 2012-10-18 2012-10-18 Wind electric field wind measurement tower virtualization method Pending CN103776485A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210397530.5A CN103776485A (en) 2012-10-18 2012-10-18 Wind electric field wind measurement tower virtualization method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210397530.5A CN103776485A (en) 2012-10-18 2012-10-18 Wind electric field wind measurement tower virtualization method

Publications (1)

Publication Number Publication Date
CN103776485A true CN103776485A (en) 2014-05-07

Family

ID=50569007

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210397530.5A Pending CN103776485A (en) 2012-10-18 2012-10-18 Wind electric field wind measurement tower virtualization method

Country Status (1)

Country Link
CN (1) CN103776485A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106197540A (en) * 2016-07-04 2016-12-07 三重型能源装备有限公司 Distributed anemometer tower total management system
CN106370237A (en) * 2016-11-04 2017-02-01 贵州电网有限责任公司电力科学研究院 Wind power plant virtual anemometer tower system and method based on wind turbine generator in mountainous area

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006125265A (en) * 2004-10-28 2006-05-18 Tokyo Electric Power Co Inc:The Wind power generating device, control method for wind power generating device and computer program
CN201298055Y (en) * 2008-11-10 2009-08-26 西北电网有限公司 A wind power resources real-time monitoring device
CN101634722A (en) * 2008-07-22 2010-01-27 西门子公司 Method and arrangement for the forecast of wind-resources
JP2010185444A (en) * 2009-02-13 2010-08-26 Tokyo Electric Power Co Inc:The Blade structure and wind turbine generator
CN102549259A (en) * 2009-06-29 2012-07-04 罗伯特·博世有限公司 Wind power plant with a plurality of wind power devices and method for controlling the wind power plant

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006125265A (en) * 2004-10-28 2006-05-18 Tokyo Electric Power Co Inc:The Wind power generating device, control method for wind power generating device and computer program
JP4626265B2 (en) * 2004-10-28 2011-02-02 東京電力株式会社 Wind turbine generator, wind turbine generator control method, and computer program
CN101634722A (en) * 2008-07-22 2010-01-27 西门子公司 Method and arrangement for the forecast of wind-resources
CN201298055Y (en) * 2008-11-10 2009-08-26 西北电网有限公司 A wind power resources real-time monitoring device
JP2010185444A (en) * 2009-02-13 2010-08-26 Tokyo Electric Power Co Inc:The Blade structure and wind turbine generator
CN102549259A (en) * 2009-06-29 2012-07-04 罗伯特·博世有限公司 Wind power plant with a plurality of wind power devices and method for controlling the wind power plant

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
国世友 等: "用风廓线指数律模拟风速随高度变化", 《黑龙江气象》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106197540A (en) * 2016-07-04 2016-12-07 三重型能源装备有限公司 Distributed anemometer tower total management system
CN106370237A (en) * 2016-11-04 2017-02-01 贵州电网有限责任公司电力科学研究院 Wind power plant virtual anemometer tower system and method based on wind turbine generator in mountainous area
CN106370237B (en) * 2016-11-04 2018-06-22 贵州电网有限责任公司电力科学研究院 The virtual anemometer tower system and method for wind power plant based on plateau mountain area Wind turbines

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Application publication date: 20140507