JP6415769B1 - AI renewable energy generator assist system - Google Patents
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- JP6415769B1 JP6415769B1 JP2018039202A JP2018039202A JP6415769B1 JP 6415769 B1 JP6415769 B1 JP 6415769B1 JP 2018039202 A JP2018039202 A JP 2018039202A JP 2018039202 A JP2018039202 A JP 2018039202A JP 6415769 B1 JP6415769 B1 JP 6415769B1
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- 230000006854 communication Effects 0.000 claims abstract description 17
- 238000010248 power generation Methods 0.000 abstract description 18
- 238000009434 installation Methods 0.000 abstract description 4
- 239000007787 solid Substances 0.000 abstract 1
- 238000013473 artificial intelligence Methods 0.000 description 20
- 230000007175 bidirectional communication Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 239000002803 fossil fuel Substances 0.000 description 1
- 238000010792 warming Methods 0.000 description 1
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- 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
- Y02E10/50—Photovoltaic [PV] energy
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- 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
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Abstract
【課題】太陽光発電の発電効率を上げるには、受光面積をより広げ、そして常に太陽に正対していることが望ましいが、台風等の強風時に耐えるためには、堅固なものにする必要があり、多くの設置面積を必要とし、また、重量やコストが嵩む問題があり、それらに対応した太陽光発電装置を提供する。
【解決手段】太陽光パネル９，１０，１１の受光面積が可変な太陽光発電機３にＬｏＲａＷＡＮ等の通信チップ７と風速・風向計８を搭載し、ＡＩを搭載したコンピューターを持つＡＩ再生可能エネルギーアシストセンター１を設定し、双方向の通信を可能とする。太陽光発電機３側からは、風速・風向き、太陽光パネルの面積情報と角度情報をＡＩ再生可能エネルギーアシストセンター１に送信し、ＡＩ再生可能エネルギーアシストセンター１は、太陽光発電機３が強風で破壊されないようにしながら、最大効率の発電を行うよう太陽光パネル９，１０，１１の受光面積を調整する。
【選択図】図１[PROBLEMS] To increase the power generation efficiency of solar power generation, it is desirable to increase the light receiving area and always face the sun. However, in order to withstand strong winds such as typhoons, it is necessary to be solid. There is a problem that a large installation area is required, and there is a problem that the weight and cost increase, and a photovoltaic power generation apparatus corresponding to them is provided.
SOLUTION: A solar power generator 3 having a variable light-receiving area of solar panels 9, 10, 11 is equipped with a communication chip 7 such as LoRaWAN and a wind speed / wind direction meter 8, and AI reproduction is possible with a computer equipped with AI. The energy assist center 1 is set to enable two-way communication. From the solar power generator 3 side, wind speed / wind direction, solar panel area information and angle information are transmitted to the AI renewable energy assist center 1, and the solar power generator 3 has strong winds. The light receiving areas of the solar panels 9, 10, and 11 are adjusted so as to generate power with the maximum efficiency while preventing them from being destroyed.
[Selection] Figure 1
Description
本発明は、ＬｏＲａＷＡＮ等の通信チップを太陽光発電、風力発電等の再生可能エネルギー発電機に搭載し、該再生可能エネルギー発電機の状態や発電量・充電量等をＬｏＲａＷＡＮ等の通信基地局経由でＡＩ再生可能エネルギーアシストセンターに送ることで、該ＡＩ再生可能エネルギーアシストセンターのＡＩ（人工知能）が該再生可能エネルギー発電機へ各種動作指示を出して、発電効率を上げたり、強風時には強風対応をするシステムに関するものである。 In the present invention, a communication chip such as LoRaWAN is mounted on a renewable energy generator such as solar power generation or wind power generation, and the state of the renewable energy generator, power generation amount / charge amount, etc. are transmitted via a communication base station such as LoRaWAN. By sending it to the AI Renewable Energy Assist Center, AI (Artificial Intelligence) of the AI Renewable Energy Assist Center issues various operation instructions to the Renewable Energy Generator to increase the power generation efficiency or respond to strong winds in strong winds It is related to the system which performs.
太陽光発電等の再生可能エネルギーは、現在のところ日本全体のエネルギー量の5％にも満たないレベルであり、地球温暖化対策でのＣＯ２削減や化石燃料の枯渇問題を考慮すると、今後大幅に増やしていく必要があるため、さらに発電効率を上げたり、太陽光追尾型の太陽光発電装置の安全対策を高めた上で住居地域も含めてあらゆる場所へ設置できるようにしなければならないと考えられる。
太陽光発電機の発電効率を上げるには、受光面積をより広げ、そして常に太陽に正対していることが望ましいが、台風等の強風時に耐えるためには、より堅固なものにする必要があり、より多くの設置面積を必要とし、また太陽光発電装置の重量やコストが嵩む問題がある。
Renewable energy such as photovoltaic power generation is currently less than 5% of the total amount of energy in Japan. Considering CO2 reduction and fossil fuel depletion as a measure against global warming, Since it is necessary to increase the power generation efficiency, it is thought that it will be necessary to increase the power generation efficiency and improve the safety measures of the solar tracking type solar power generation device so that it can be installed anywhere including the residential area. .
In order to increase the power generation efficiency of solar generators, it is desirable to increase the light receiving area and always face the sun, but in order to withstand strong winds such as typhoons, it is necessary to make it more robust However, there is a problem that a larger installation area is required and the weight and cost of the solar power generation device are increased.
風の強度や風の方向及び太陽の位置を考慮して、太陽光パネルの受光面積を増減することが可能な構造にして、まず太陽光発電機に内蔵したＬｏＲａＷＡＮ等の通信チップによって、ＬｏＲａＷＡＮ基地局経由でクラウド型のＡＩ（人工知能）に現況を伝え、該ＡＩから太陽光発電機に対し太陽光パネルの受光面積の増減の指示を出して、時系列的に変化する風の強度と太陽光パネルの角度位置にて、太陽光パネルが強風で破壊されないようにしながら受光面積を広げて、その環境での最大効率の発電を行う。
In consideration of wind intensity, wind direction and sun position, the light receiving area of the solar panel can be increased or decreased, and the LoRaWAN base is first constructed by a communication chip such as LoRaWAN built in the solar power generator. The current situation is communicated to the cloud-type AI (artificial intelligence) via the station, and an instruction to increase / decrease the light receiving area of the solar panel is sent from the AI to the solar power generator. At the angular position of the light panel, the light receiving area is expanded while preventing the solar panel from being destroyed by strong wind, and power generation is performed with maximum efficiency in the environment.
太陽光パネルの受光面積が可変な太陽光発電機にＬｏＲａＷＡＮ等の通信チップと風速・風向計を搭載し、またＡＩ（人工知能）を搭載したコンピューターを持つＡＩ再生可能エネルギーアシストセンターを設定し、２４時間での双方向の通信を可能とする。
ＬｏＲａＷＡＮ等の通信基地局経由にて、該太陽光発電機側からは、風速・風向き、太陽光パネルの面積情報と角度情報を該ＡＩ再生可能エネルギーアシストセンターに送信し、該ＡＩ再生可能エネルギーアシストセンターは、該太陽光発電機が強風で破壊されないようにしながら、最大効率の発電を行うよう太陽光パネルの受光面積を調整するよう指示をだす。
A solar power generator with a variable light-receiving area of the solar panel is equipped with a communication chip such as LoRaWAN, an anemometer, and an AI renewable energy assist center with a computer equipped with AI (artificial intelligence). Bidirectional communication is possible in 24 hours.
Via the communication base station such as LoRaWAN, the solar power generator transmits the wind speed / wind direction, solar panel area information and angle information to the AI renewable energy assist center, and the AI renewable energy assist. The center issues an instruction to adjust the light receiving area of the solar panel so as to generate power with maximum efficiency while preventing the solar power generator from being destroyed by strong winds.
本発明により、風の弱い時は太陽光パネルの受光面積を広げて、より多くの電力量を稼ぐことが出来、強風時には受光面積を狭めて、破壊されないように保つことが出来るため、しかも２４時間のＡＩでの制御によるものなので人を介さずに制御され、そして太陽光発電等の再生可能エネルギー機全体を軽量化でき、設置可能箇所が増加するため、大幅に発電量を増やすことができる。
また、太陽光発電等の再生可能エネルギー機の故障や事故等がリアルタイムで分かるため、修理対応等が迅速に実施されるというメリットがある。
According to the present invention, when the wind is weak, the light receiving area of the solar panel can be widened to increase the amount of power, and when the wind is strong, the light receiving area can be narrowed and kept from being destroyed. Because it is controlled by AI of time, it is controlled without human intervention, and the entire renewable energy machine such as solar power generation can be reduced in weight and the number of installable places increases, so the amount of power generation can be greatly increased. .
In addition, since a failure or accident of a renewable energy machine such as a solar power generation can be known in real time, there is an advantage that a repair response or the like can be performed quickly.
太陽光発電等の再生可能エネルギー機にＬｏＲａＷＡＮ等の通信チップと風速・風向計とを搭載し、ＡＩ（人工知能）を搭載した複数のコンピュータが設置されたＡＩ再生可能エネルギーアシストセンターを設立し、市場の太陽光発電機等の再生可能エネルギー機とＡＩ再生可能エネルギーアシストセンターとが、ＬｏＲａＷＡＮ等の通信基地局を通して２４時間での双方向の通信を可能とする。
Established AI Renewable Energy Assist Center, which is equipped with communication chips such as LoRaWAN and wind speed / wind direction meter in renewable energy machines such as solar power generation, and multiple computers equipped with AI (artificial intelligence). A renewable energy machine such as a solar power generator on the market and an AI renewable energy assist center enable two-way communication in 24 hours through a communication base station such as LoRaWAN.
図1において、ＬｏＲａＷＡＮ通信チップ７により、受光面積可変太陽光発電機３の状況、すなわち支柱回転部４及び回転軸受け６に支えられた受光面回転軸５に直結しているモーターのエンコーダーの角度情報と風速・風向計８の情報はＬｏＲａＷＡＮ通信基地局２を介して、ＡＩ再生可能エネルギーアシストセンター１に送信され、該ＡＩ再生可能エネルギーアシストセンター1からは、風速・風向を勘案した一段目受光パネル９、二段目受光パネル１０、三段目受光パネル１１のどこまでを露出させるかの指示を行う。
風向きが、一段目受光パネル９に対して垂直気味になっているときは、一段目受光パネル９が受ける圧力が強くなる傾向になるので、風速にも依存するが、安全のため二段目受光パネル１０や三段目受光パネル１１は露出させないような方向となる。特に台風などの強風時には、一段目受光パネル９のみを露出し、該一段目受光パネル９を垂直に立てた上で、風上に端面が向くようにし、支柱回転部４に隠れるように設定することで、風圧を最小にして受けることが可能となる。
尚、本実施例では三段構成の受光パネルであるが、さらに段数を増やすことも可能であることは言うまでもない。
また、本実施例では風力発電機は搭載されていないが、搭載可能であることは言うまでもない。
In FIG. 1, by the LoRaWAN communication chip 7, the situation of the light receiving area variable solar power generator 3, that is, the angle information of the encoder of the motor directly connected to the light receiving surface rotating shaft 5 supported by the column rotating section 4 and the rotating bearing 6 And the information of the wind speed / direction meter 8 are transmitted to the AI renewable energy assist center 1 via the LoRaWAN communication base station 2, and the AI renewable energy assist center 1 takes into account the wind speed and wind direction. 9. Instructs how far the second-stage light receiving panel 10 and the third-stage light receiving panel 11 are to be exposed.
When the wind direction is perpendicular to the first-stage light receiving panel 9, the pressure received by the first-stage light receiving panel 9 tends to increase, so depending on the wind speed, the second-stage light receiving is performed for safety. The panel 10 and the third-stage light receiving panel 11 are oriented so as not to be exposed. Particularly in the case of strong winds such as typhoons, only the first-stage light receiving panel 9 is exposed, the first-stage light receiving panel 9 is set up vertically, the end face is directed to the windward, and it is set so as to be hidden by the column rotating unit 4. Thus, the wind pressure can be received with the minimum.
In the present embodiment, the light receiving panel has a three-stage structure, but it goes without saying that the number of stages can be further increased.
Further, in this embodiment, the wind power generator is not mounted, but it goes without saying that it can be mounted.
このように、風速・風向きおよび太陽光受光パネルの追尾角度位置によって、太陽光パネルの受光面積を自動的に変えることが出来れば、機器全体の軽量化が可能になり、運搬や設置が楽になり、設置場所等も増加し、コストダウンにもつながり、再生可能エネルギーの発電量を大幅に増やすことが可能となる。 In this way, if the light receiving area of the solar panel can be automatically changed according to the wind speed / direction and the tracking angle position of the solar light receiving panel, the overall weight of the device can be reduced, making transportation and installation easier. As a result, the number of installation locations and the like increase, leading to cost reduction, and it is possible to greatly increase the amount of power generated by renewable energy.
１ ＡＩ再生可能エネルギーアシストセンター
２ ＬｏＲａＷＡＮ通信基地局
３ 受光面積可変太陽光発電機
４ 支柱回転部
５ 受光面回転軸
６ 軸受け
７ ＬｏＲａＷＡＮ通信チップ
８ 風速・風向計
９ 一段目受光パネル
10 二段目受光パネル
11 三段目受光パネル
DESCRIPTION OF SYMBOLS 1 AI renewable energy assist center 2 LoRaWAN communication base station 3 Light-receiving area variable solar power generator 4 Strut rotating part 5 Light-receiving surface rotating shaft 6 Bearing 7 LoRaWAN communication chip 8 Wind speed / wind direction meter 9 First-stage light receiving panel
10 Second-stage light receiving panel
11 Third-stage light receiving panel
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| JP2003158284A (en) * | 2001-11-20 | 2003-05-30 | Taiyo Kogyo Corp | Apparatus for solar photovoltaic power generation |
| JP2013533449A (en) * | 2010-05-05 | 2013-08-22 | グリーンスリーブス、エルエルシー | Energy chassis and energy exchange device |
| JP2016062931A (en) * | 2014-09-15 | 2016-04-25 | 国立大学法人長岡技術科学大学 | Condensation type solar battery module and condensation type photovoltaic power generation system |
| JP2018007019A (en) * | 2016-07-01 | 2018-01-11 | 日本電気株式会社 | Data flow rate control method, radio base station device, server device, relay device, communication system, and program |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003158284A (en) * | 2001-11-20 | 2003-05-30 | Taiyo Kogyo Corp | Apparatus for solar photovoltaic power generation |
| JP2013533449A (en) * | 2010-05-05 | 2013-08-22 | グリーンスリーブス、エルエルシー | Energy chassis and energy exchange device |
| JP2016062931A (en) * | 2014-09-15 | 2016-04-25 | 国立大学法人長岡技術科学大学 | Condensation type solar battery module and condensation type photovoltaic power generation system |
| JP2018007019A (en) * | 2016-07-01 | 2018-01-11 | 日本電気株式会社 | Data flow rate control method, radio base station device, server device, relay device, communication system, and program |
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