• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
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    • 专利摘要:
    Method for controlling the orientation of a single-axis solar tracker (1) orientable about an axis of rotation (A), said method repetitively performing successive piloting phases, where each piloting phase implements the following successive steps: a) observe the cloud cover over the solar tracker (1); b) compare the observed cloud cover with cloud cover models archived in a database, each model of cloud cover being associated with a guidance of the solar tracker; c) approximation of observed cloud cover with a model of cloud cover; d) enslave the orientation of the solar tracker by applying the orientation instruction associated with said model of cloud cover retained in step c). The present invention finds application in the field of solar trackers or "solar tracker".
    公开号:FR3038397A1
    申请号:FR1556228
    申请日:2015-07-02
    公开日:2017-01-06
    发明作者:Jerome Arliaud；Adrien Crucifix；Philippe Blanc
    申请人:Optimum Tracker SAS；
    IPC主号:
    专利说明:

    The present invention relates to a method for controlling the orientation of a single-axis solar tracker, and to a single-axis solar tracker designed for the implementation of such a method. The invention relates to the field of solar trackers, otherwise called follower or "solar tracker" support systems, designed to support solar collectors, generally of the photovoltaic panel type.
    It relates more particularly to solar trackers of the single-axis type that is to say orientable along a single main axis of rotation, for a rotation to follow the sun during its elevation and its descent from east to west. For accuracy, such a principal axis of rotation extends generally horizontally and substantially parallel to the ground on which the solar tracker is anchored.
    In this area, it is conventional to enslave the orientation of the solar tracker based on an astronomical calculation of the position of the sun, for a real-time positioning in front of the sun.
    This type of servocontrol, however, has a major disadvantage in offering a yield deficit in certain meteorological conditions, and we will usefully refer to Figure 1 for explanation; this figure 1 comprising four diagrams (1a), (1b), (1c) and (1d) each illustrating two solar trackers ST in different meteorological conditions, with the sun SO always at the same position and with the solar trackers ST always oriented face under the sun.
    Diagram (1a) illustrates ideal weather conditions, in the absence of clouds, and the solar trackers ST are oriented in front of the sun SO in order to benefit from a maximum direct solar radiation. Under these optimal conditions with zero cloud cover, servocontrol on the sun position SO provides maximum operation; such a servocontrol corresponding to a slaving of the orientation of the solar tracker on a so-called direct inclination angle defined by the direction of the direct solar radiation Rdir at the level of the solar tracker.
    Diagrams (1b), (1c) and (1d) illustrate degraded meteorological conditions, with different cloud cover depending in particular on the cloud surface or surface covered, the types of NU clouds present, the number and position of NU clouds. to the sun SO.
    In such cloudy conditions, servocontrol on the sun position SO may not provide the best efficiency, by not taking into consideration the diffuse solar radiation Rdif. Diffuse solar Radiation is manifested when the direct solar radiation Rdir disperses in NU clouds and atmospheric particles. The diffuse solar radiation Rdif results from the diffraction of light by NU clouds and various molecules suspended in the atmosphere. Diffuse solar radiation Rdif therefore does not necessarily follow the direction defined by the sun SO towards the observation point on the surface of the Earth.
    Therefore, in cloudy conditions, it may be preferable, to obtain a maximum yield under these conditions, to orient the solar trackers ST on a so-called indirect or diffuse orientation in a direction of diffuse solar radiation Rdif that does not correspond necessarily to the direction of direct solar radiation Rdir; such a servocontrol corresponding to a servocontrol of the orientation of the solar tracker on a so-called diffuse inclination angle defined by the direction of the diffuse solar radiation Rdif at the level of the solar tracker.
    On the diagrams (1b), (1c) and (1d), the solar trackers ST are all oriented according to the direct inclination angle (facing the sun) whereas orientations according to diffuse angles of inclination would offer efficiencies best.
    Thus, the skilled person would be tempted to enslave, in real time, the orientation of the solar tracker on an optimum angle of inclination corresponding to maximum solar radiation. In the absence of a cloud, the optimal angle of inclination would correspond to the direct angle of inclination and, in the presence of a cloud cover or even a single cloud in front of the sun, the optimal angle of inclination would correspond to at a diffuse angle of inclination. To do this, it would be sufficient to measure the amplitude of the radiation in different directions (or different inclinations), and to establish the direction corresponding to a maximum amplitude to deduce the optimal angle of inclination.
    However, doing so would have many disadvantages, all based on the variation of solar radiation diffuse over time. Indeed, according to the temporal evolution of the cloud layer (due to the displacement of the clouds under the effect of the winds) and according to the composition of this cloud layer (number, dimensions, localization and types of clouds), diffuse solar radiation can vary more or less quickly and therefore the optimal angle of inclination can vary more or less quickly over time.
    Thus, by controlling the orientation of the solar tracker on this optimum angle of inclination, the solar tracker may be required to change orientation more or less often and more or less quickly. However, each change of orientation requires at least one actuator (generally an electric motor), generating an electrical consumption and a wear of the mechanical components required by the change of orientation (engine components, bearings, rotating guide elements, etc.). .). These electrical consumptions and these wearings will not necessarily be offset by the productivity gains obtained by settling in real time on the optimal angle of inclination. By way of example, starting from a starting situation where the optimum angle of inclination corresponds to the direct inclination angle (due to the absence of a cloud between the sun and the solar tracker), if a single cloud passes in front of the sun for a few minutes, the optimal angle of inclination will be changed during these few minutes and then recover the direct angle of inclination. Enslaving in real time the orientation of the solar tracker on the optimal angle of inclination would lead, in this case, to move the solar tracker during these minutes, for a benefit certainly very low compared to the power consumption of the actuator (s) and wear.
    The object of the present invention is to overcome these drawbacks by proposing a method for controlling the orientation of a single-axis solar tracker, implementing a step of approximating real observations of the cloud cover with cloud cover models archived in a database, so as not to systematically enslave the orientation of the solar tracker on the optimal angle of inclination, but to apply an advantageous compromise between the productivity gains in solar energy and the losses in electrical consumption of the actuators, and possibly taking into account the wear caused by the changes of orientation. For this purpose, it proposes a method for controlling the orientation of a single-axis solar tracker that is orientable about an axis of rotation, said method repetitively completing successive piloting phases, where each piloting phase puts into operation perform the following successive steps: a) observe the cloud cover over the solar tracker; b) compare the observed cloud cover with cloud cover models archived in a database, each model of cloud cover being associated with a guidance of the solar tracker; c) approximation of observed cloud cover with a model of cloud cover; d) enslave the orientation of the solar tracker by applying the orientation instruction associated with said model of cloud cover retained in step c).
    Thus, the method implements a comparison between the observations of the cloud layer and predefined theoretical models and which are associated with orientation guidelines established to avoid too often solicit the solar tracker in changes of orientation that would only provide little energy gain, or even energy losses, as would be the case for example if a single cloud passes in front of the sun for a short time. It is understood that the steering and control of the orientation of the solar tracker focuses on the control and servo of its inclination around its axis of rotation, and in particular of its angle of inclination around this axis.
    According to one characteristic, each model of cloud cover associates an orientation setpoint which is a function of a composition of the cloud layer of said model, said composition depending on at least one of the following parameters: number of clouds, coverage area of or clouds, thickness of cloud (s), location of cloud (s); type of clouds.
    Thus, each model of cloud cover is built to correspond to a maximum of real situations.
    According to another characteristic, for each model of cloud cover, the corresponding orientation setpoint is predefined according to at least one of the following parameters: a wear rate of mechanical members of the solar follower solicited during a change orientation of the solar tracker, a power consumption necessary to change the orientation of the solar tracker and a speed of displacement of the solar tracker during a change of orientation.
    Thus, the orientation instruction assigned to each cloud cover model depends on one or more parameters associated with the solar tracker, and in particular with its mechanical characteristics, in order to optimize the changes of orientation of the solar tracker.
    According to another characteristic, cloud cover models comprise: at least one so-called zero cloud cover model which is associated with an orientation instruction on a so-called direct inclination angle established by an astronomical calculation of the position of the sun; at least one so-called high cloud cover model which is associated with an orientation instruction on an so-called optimized inclination angle which does not coincide with the direct inclination angle.
    Thus, in the model of zero cloud cover, it is provided a servo on the direct angle of inclination (facing the sun), while in the model of large cloud cover, it is expected a servo on another angle of tilt said optimized to take into account the diffuse radiation.
    In a particular embodiment, the optimized inclination angle corresponds to an angle associated with a horizontal tracking of the solar tracker.
    Thus, in case of large cloud cover, it is expected a flat or horizontal positioning of the solar tracker, so that the solar collectors are horizontal.
    Advantageously, the cloud cover models comprise at least one so-called fine cloud cover model which is associated with an orientation setpoint on a predefined intermediate angle between the direct inclination angle and an angle corresponding to a horizontal adjustment of the solar tracker.
    Thus, in case of thin (thin) cloud cover, there is provided an intermediate control between the zero angle (horizontal positioning of the follower) and the direct angle (positioning in front of the sun of the follower) to make a interesting compromise.
    Advantageously, the models of cloud cover comprise at least one so-called irregular cloud cover model with which is associated an orientation instruction on the direct angle of inclination.
    Thus, in the event of a scattered presence of clouds, there is provision for servoing the direct angle of inclination (facing the sun) so as not to change the orientation of the follower each time a cloud passes in front of the sun. .
    According to a possibility of the invention, during step a), the observation of the cloud cover is translated into a mapping of the solar luminance according to different elevation angles and, during step b), the cloud cover models consist of cartographic models and the comparison is based on a comparison between the distribution of solar luminance on the map and the distribution of solar luminance in the different cartographic models.
    In other words, during step b), the distribution in the observation space of the values of the solar luminance of the cartography is compared with that of the different theoretical models; this observation space being either two-dimensional if the mapping is established along two axes, preferably the north-south axis and the east-west axis, or one-dimensional if the mapping is established along an axis, in this case the east-west axis.
    Thus, the comparison made during step c) is likewise based on a comparison of the distribution of the solar luminance on the map with a cartographic model having a distribution similar or similar with a predefined deviation tolerance. The angle of elevation of the sun corresponds to the angle around the axis of rotation of the solar tracker, between the horizontal plane and the plane passing through the axis of rotation of the solar tracker and parallel to the rays of the sun.
    According to a possibility of the invention, considering a maximum value of solar luminance corresponding to the maximum value of the solar luminance accessible during a direct radiation observation: the model of null cloud cover corresponds to a cartographic model where the luminance solar energy is not less than 80% of the maximum value over an angular sector of less than 30 degrees around the direct bank angle; and the model of large cloud cover corresponds to a cartographic model where the solar luminance has, on an angular sector greater than 150 degrees, a low value and a high value, with a difference between the low value and the high value which is lower than at 50% of the high value, with the high value being less than 50% of the maximum value and with the high value associated with an elevation angle at least 20 degrees from the tilt angle direct.
    According to a possibility of the invention, the model of thin cloud cover corresponds to a cartographic model where the solar luminance has, on an angular sector greater than 150 degrees, a low value and a high value, with a difference between the low value and the high value which is less than 50% of the high value and with the high value which is associated with an elevation angle less than 20 degrees from the direct inclination angle.
    According to a possibility of the invention, the model of irregular cloud cover corresponds to a cartographic model where the solar luminance is at least equal to 50% of the maximum value over an angular sector lower than 30 degrees around the angle of inclination direct, and is at least equal to 20% of the maximum value on an angular sector less than 30 degrees around another angle of inclination.
    In addition, the observation of the cloud cover can be carried out according to one of the following methods: - taking pictures of the sky from the ground by means of a camera, such as a camera; - measurement of the solar luminance from the ground by means of a set of several photosensitive cells; - recovery of satellite images from the sky above the solar tracker.
    With an image, the observation corresponds to an image. With a measurement of the solar luminance by photosensitive cells the observation corresponds to a matrix of measurements made individually by each photosensitive cell, these photosensitive cells being positioned at different elevation angles. With a recovery of satellite images, the observation corresponds to a satellite image of the area concerned.
    According to an advantageous characteristic, during step a), a frequency weighting step applied to the observation which is a function of both a frequency response of the observation and a useful frequency band is implemented. to the solar collector.
    Thus, the frequency weighting will consist of applying a frequency filter that will take into account the spectral response of the solar sensor.
    In a particular embodiment, considering that the method implements a servocontrol on a first orientation instruction associated with a first cloud cover model on a first series of several successive piloting phases, and considering that, as a result of this first series, the following driving phase retains in its step c) a second model of cloud cover associated with a second orientation setpoint, then the process switches in a servo on said second orientation setpoint only if the first series is followed by a second series comprising a predefined number of successive driving phases retaining all the second model of cloud cover during their respective steps c).
    Thus, in order to limit the mechanical wear of the solar tracker, the second orientation instruction will be taken into account only if the observation is close to the second model of cloud cover for a minimum of time.
    According to a possibility of the invention, if the first series is not followed by a second series comprising the predefined number of successive piloting phases all retaining the second model of cloud cover, then the method maintains the servocontrol on said first orientation setpoint or toggle in a servo on a direct inclination angle.
    Thus, if the observation is not close to the second model of cloud cover for a minimum of time, then the control remains unchanged or switches to a direct follow-up of the sun.
    According to another possibility of the invention, the predefined number of successive piloting phases of the second series is a function of at least one of the following parameters: the time, the angular difference between the first orientation instruction and the second orientation instruction, a wear rate of mechanical members of the solar tracker solicited during a change of orientation of the solar tracker, and a power consumption necessary to change the orientation of the solar tracker.
    According to another characteristic of the invention, if in a series comprising a predefined number of successive piloting phases where, during each piloting phase, no model of cloud cover of the database is close to the cloud cover observed, then the process switches in a servo on a direct inclination angle. The invention also relates to a single-axis solar tracker orientable about an axis of rotation, of the type comprising a fixed anchoring structure on the ground and a platform adapted to support at least one solar sensor, said platform being operable in rotation on the fixed structure along said axis of rotation by means of an actuating system, said solar follower being remarkable in that it further comprises a system for observing the evolution over time of the cloud cover at above the solar tracker and a control unit in connection, on the one hand, with the observation system to receive its observations data and, on the other hand, with the actuation system for controlling the rotation of the platform, wherein said control unit is shaped to implement steps b) to e) of the control method as described above. Other features and advantages of the present invention will emerge on reading the following detailed description of examples of non-limiting implementation, with reference to the appended figures in which: FIG. 1, already commented, comprises: four diagrams (1a), (1b), (1c) and (1d) each illustrating two solar trackers in different meteorological conditions; FIG. 2 is a schematic view of a single-axis solar tracker according to the invention, in which the fixed structure and mobile platform assembly and a cloud cover observation system are illustrated; FIG. 3 is a diagrammatic view of a first observation system shaped to perform a one-dimensional mapping of the solar luminance, established only in elevation along an east-west direction; FIG. 4 is a flat schematic representation of a first observation system equivalent to that of FIG. 3 (left), and of a one-dimensional mapping of the solar luminance (on the right) resulting from such a system observation; FIG. 5 is a schematic view of a second observation system shaped to perform a two-dimensional mapping of the solar luminance, established both in elevation in an east-west direction and in azimuth in a north-south direction; FIG. 6 is a flat schematic representation of a second observation system equivalent to that of FIG. 5 (left), and of a two-dimensional mapping of the solar luminance (on the right) resulting from such a system observation; FIG. 7a is a schematic side view of four columns of a two-dimensional mapping of the solar luminance, with the azimuth angles associated with the various columns; FIG. 7b is a schematic side view of four bands of a one-dimensional or two-dimensional mapping of the solar luminance, with the elevation or inclination angles associated with the different bands; FIG. 8 is a schematic view of a third observation system of the camera type; FIG. 9 is a schematic representation of an observation (the image at the top left) made by a third observation system equivalent to that of FIG. 8, and a two-dimensional mapping of the solar luminance (at the bottom left) resulting from such an observation, after several image processing steps, and a one-dimensional mapping of equivalent luminance values (bottom right) resulting from this two-dimensional mapping; FIG. 10 is a schematic view of another first observation system serving to define the cartographic models of FIG. 11; FIG. 11 represents five cartographic models (a) to (e) associated with the first observation system of FIG. 10; FIG. 12 represents five cartographic models (a) to (e) associated with the third observation system of FIG. 8; and FIG. 13 is a representation in the form of a functional diagram of the functional elements used for the implementation of a control method according to the invention.
    With reference to FIG. 2, a single-axis solar tracker 1 orientable about an axis of rotation A, of the type comprising a fixed anchoring structure 11 consisting of one or more pylons anchored to the ground, for example by threshing, screwing, bolting, ballasting, or other equivalent means for fixing and stabilizing the fixed structure on the ground 11.
    The solar follower 1 further comprises a mobile platform 12 rotatably mounted on the fixed structure 11 along the axis of rotation A, and more specifically rotatably mounted on the upper ends of the pylons. This platform 12 is able to support at least one solar collector 13, and in particular one or more photovoltaic panels.
    With reference to FIG. 2 and FIGS. 7a and 7b, the axis of rotation A is substantially horizontal and directed along a longitudinal axis X in the north-south direction. When the solar follower 1 is horizontal or flat (as shown in Figure 2) with its platform 12 horizontal, the platform 12 extends in a horizontal plane defined by the longitudinal axis X and a transverse axis Y in the east-west direction, orthogonal to a vertical axis Z.
    For the following description, the angle of inclination of the solar tracker 1 (or angle of inclination of the platform 12 and the solar collector or 13) corresponds to the angle of the normal to the platform 12 vis-à-vis -vis the vertical axis Z taken in the plane (Y, Z). Thus, when the solar follower 1 is horizontal or flat (as shown schematically in Figures 2, 7a and 7b), this angle of inclination is 0 degrees.
    The solar tracker 1 also comprises an observation system 2 of the cloud cover above the solar tracker 1, in other words for the observation of the sky above the solar tracker 1. This observation system 2 can be associated with a single solar tracker 1 or, economically, be shared with several solar trackers.
    The observation system 2 is stationary, and can be elevated relative to the ground by being mounted for example on a pole 20.
    The solar tracker 1 further comprises an actuating system (not shown in Figure 2 and bearing the reference numeral 3 in Figure 13) which ensures the rotation of the platform 12 along the axis of rotation A.
    This actuating system 3 comprises an actuator, for example of the type jack (electric, pneumatic or hydraulic) or electric motor (for example rotary motor). This actuating system 3 further comprises a mechanical system for transmitting the movement at the output of the actuator (rotary movement for a rotary motor, or linear movement for a jack) in a rotational movement of the platform 12. This mechanical system transmission can be, by way of non-limiting example, a deformable parallelogram system, a pulley return system, a pinion system, a chain system, a belt system, a clutch system, a system with shaft transmission, a connecting rod system, etc.
    It is conceivable that the actuator is specific to the solar tracker 1, or is shared between several solar trackers. In the case where the actuator is shared, the platforms 12 of the different solar trackers are advantageously coupled in rotation, for a synchronous rotation under the effect of the common actuator.
    With reference to FIG. 10, the solar tracker 1 also comprises a control unit 4 of the electronic card type, which is connected to the observation system 2 in order to receive its observations (or observations data) and which is also in conjunction with the actuating system 3 to control its operation and thus control the rotation of the platform 12, in other words the orientation of the solar tracker 1.
    This control unit 4 comprises several modules, namely: a cartographic module 40 designed to translate or convert each observation made by the observation system 2 into a map of the solar luminance, this mapping of the solar luminance reflecting the distribution the solar luminance at least at different elevation angles (the elevation angle being comparable to the angle of inclination corresponding to the angle around the axis of rotation A of the solar tracker 1, between the plane horizontal (X, Y) and the line from observation system 2 to the point observed in the sky); a comparison module 41 which compares the cartography from the cartographic module 40 with cartographic models 6 archived in a database 44, and which brings said cartography closer to a cartographic model 6 established as being the closest in terms of distribution solar luminance, where each cartographic model 6 is associated with an orientation set of the solar tracker 1; a servo module 42 which retrieves both the orientation instruction from the comparison module 41 and the direct inclination angle defined by the direction of the direct solar radiation at the level of the solar tracker 1, this angle d direct tilt being derived from an astronomical computing module 43 which calculates in real time the position of the sun, where the servo module 42 outputs an angular setpoint to the actuating system 3 to control changes of orientation platform 12 of the solar tracker 1.
    It should be noted that this control unit 4 may be specific to the solar tracker 1, or be shared between several solar trackers, and preferably between several solar trackers joined in line (extending from north to south) within linear solar installations.
    In a first embodiment illustrated in FIG. 3, the observation system 2a comprises a semi-circular arch support 21a centered around an axis X parallel to the axis of rotation A of the solar tracker. support 21a supporting photosensitive cells 22.
    These photosensitive cells 22 are positioned along several bands (visible in FIGS. 4 and 7b) distributed along several so-called elevation angles ii which are measured with respect to the vertical axis Z in the (Y, Z) plane. ) about the X axis, the mark (X, Y, Z) being centered on the center O of the arched support 21a. The elevation angle i i is therefore closer to the angle of inclination of the solar tracker 1. In the example of FIG. 3, the photosensitive cells 22 are distributed in six bands at elevation angles of +0.1. , + 02, + 03, - 01, - 02 and - 03; with for example [01] = 30 degrees, [02] = 60 degrees and [03] = 90 degrees. These elevation angles 0i and these bands Bi are also visible in FIG. 7b.
    In a second embodiment illustrated in FIG. 5, the observation system 2b comprises a hemispherical dome-shaped support 21b supporting photosensitive cells 22.
    These photosensitive cells 22 are positioned along several bands Bi (visible in FIGS. 6 and 7b) distributed along several so-called elevation angles ii which are measured with respect to the vertical axis Z in the plane (Y, Z) around the axis X, the mark (X, Y, Z) being centered on the center O of the hemispherical dome 21. The elevation angle i is therefore to be close to the angle of inclination of the solar tracker 1. In the example of FIG. 5, the photosensitive cells 22 are distributed in seven bands at elevation angles of 0, + 01, + 02, + 03, - 01, - 02 and - 03; with for example [01] = 30 degrees, [02] = 60 degrees and [03] = 90 degrees. These elevation angles i 1 are also visible in FIG. 7b.
    In this second embodiment, on each band Bi are present one or more photosensitive cells 22. In the case of a band Bi of several photosensitive cells 22, the photosensitive cells 22 of the same band Bi are distributed according to several so-called angles. of azimuth Rj which are measured with respect to the vertical axis Z in the plane (X, Z) around the axis Y. Thus, in addition to being distributed according to the bands Bi at different angles of elevation 0i, the photosensitive cells 22 are also distributed along columns Cj (visible in FIGS. 6 and 7a) at different azimuth angles Rj; these azimuth angles Rj are visible in Figure 7a.
    In these two embodiments, the observation system 2a, 2b comprises photosensitive cells 22, and more particularly the observation system 2a, 2b comprises photosensitive cell strips Bi 22, and the better will be the resolution and angular precision.
    These photosensitive cells 22 may be of the same technology as the photovoltaic panels 13 in order to be able to apply a weighting depending on the range of useful wavelength to the photovoltaic panels 13. Preferably, these photosensitive cells 22 will be the subject of a pre-calibration for better accuracy.
    Thus, with such a first or second observation system 2a, 2b, retrieving the measurements of the brightness of each photosensitive cell 22 and knowing the elevation angles 0i (or associated angles of inclination) of the different bands Bi, and where appropriate the azimuth angles Rj of the various columns Cj, the cartographic module 40 converts an observation made by the first or second observation system 2a, 2b into a mapping 5a, 5b of the solar luminance which is one-dimensional for the first observation system 2a (see the map 5a visible in Figure 4) or two-dimensional for the second observation system 2b (see the map 5b visible in Figure 6).
    With reference to FIG. 4, for the first observation system 2a, the one-dimensional mapping 5a forms a solar luminance map comprising several bands 50 (i) (i integer) distributed or established in a direction parallel to the transverse axis Y (That is, in an east-west direction), and respectively associated with different elevation or inclination angles i i, so that each band 50 (i) corresponds to an inclination angle i i of the solar tracker 1; this angle of elevation 0i being reminder measured around the north-south axis X.
    Thus, the one-dimensional map 5a comprises NB bands 50 (i) (where NB corresponds to the number of photosensitive cells 22) and each band 50 (i) corresponds to a value (absolute or relative) of solar luminance Lum (i).
    In FIG. 4 at the top, an example of a first observation system 2a is schematically illustrated in a flat manner and comprises six photosensitive cells 22 distributed along six bands B1 to B6 which are associated with six elevation angles (or angles of inclination). . To this first observation system 2a corresponds a one-dimensional mapping 5a with six bands 50 (1) to 50 (6), and where the solar luminance values are relatively expressed in percentage with respect to a corresponding maximum solar luminance value. to the maximum value of the solar luminance accessible during a direct radiation observation. Thus, a percentage of 100% corresponds to this maximum value of solar luminance.
    With reference to FIG. 6, for the second observation system 2b, the two-dimensional mapping 5b forms a solar luminance map (or matrix) comprising: a plurality of bands 50 (i) (i integer) distributed in a first direction parallel to the transverse axis Y (in other words in an east-west direction), and respectively associated with different elevation or inclination angles Θί, so that each band 50 (i) corresponds to an angle of inclination Θί of the follower solar 1 (this elevation angle Θί being reminder measured around the north-south axis X); and - several columns 51 (j) (j integer) distributed in a second direction parallel to the axis X (in other words in a north-south direction) and respectively associated with different azimuth angles Rj (this azimuth angle Rj being as a reminder measured around the east-west axis Y).
    Thus, the two-dimensional map 5b comprises NT boxes (where NT corresponds to the number of photosensitive cells 22) and each box corresponds to a value (absolute or relative) of solar luminance Lum (i, j).
    In FIG. 6 on the left, an example of a second observation system 2b is schematically illustrated flat and comprises nine photosensitive cells 22 distributed in three bands B1, B2, B3 which are associated with three elevation angles (or angles of inclination), and in three columns C1, C2, C3 which are associated with three azimuth angles. To this second observation system 2b corresponds a two-dimensional map 5b with three bands 50 (1), 50 (2), 50 (3) and three columns 51 (1), 51 (2), 51 (3), and the solar luminance values are expressed as a percentage relative to a maximum value of solar luminance.
    In a third embodiment illustrated in FIG. 8, the observation system 2c comprises a camera, notably of the hemispherical camera type, in order to extract images from the sky.
    Advantageously, the third observation system 2c (hereinafter referred to as a camera) is designed to take images in a spectral width sufficient for the solar collector technology 13, and in particular the photovoltaic panel or panels.
    Referring to FIG. 9, the camera 2c delivers a raw IMB image of the sky which is then delivered to the map module 40 to convert this raw IMB image (or observation) into a two-dimensional mapping of the solar luminance. To this two-dimensional IMB raw image is associated a reference (X, Y), these X and Y axes having already been defined above.
    With such a camera 2c, the cartographic module 40 implements a succession of image processing steps from the raw image IMB to the mapping 5c.
    In a first step POND, the cartographic module 40 implements a frequency weighting applied on the raw image IMB (or video signal) recovered, to obtain a so-called weighted image IMP; this frequency weighting of applying a frequency filter to the observation (such weighting can also be applied to the observation made by the first and second observation systems 2a, 2b) which is a function of both the frequency response the observation system 2 (whether the photosensitive cells 22 or the camera 2c) and the useful frequency band (or spectral response) to the photovoltaic panels 13.
    In a second step TRAIT, the cartographic module 40 implements a processing of the weighted image IMP consisting in correcting the image of the defects (noise suppression processing, glare treatment or "blooming", saturation treatment , ...) to obtain a so-called IMT-treated image. Then, the cartographic module 40 implements a calculation (either pixel by pixel or zone by zone where each zone comprises several pixels) of the distribution of the solar luminance on the IMT processed image in order to generate a two-dimensional initial mapping C1. forming a solar luminance map (or matrix) distributed according to a plurality of bands respectively associated with different angles of elevation or inclination 0 (i) and according to several columns respectively associated with different azimuth angles; in Fig. 9, the solar luminance values of the initial mapping C1 are relative in percentage terms relative to the maximum value of solar luminance.
    In a third step SENS, the cartographic module 40 applies on the initial map C1 a coefficient dependent on the variation of the sensitivity of the camera 2, in order to generate a two-dimensional 5c map of the same type as the two-dimensional map 5b described above. Indeed, the amplitude (or brightness) of the data delivered by the camera 2 is proportionally related to the value of the solar radiation, so that this coefficient takes into account this proportionality depending on the variation of the sensitivity of the camera 2.
    Thus, the cartographic module 40 generates a two-dimensional map 5c forming a solar luminance map (or matrix) distributed along several bands 50 (i) respectively associated with different angles of elevation or inclination Θί and according to several columns 51 (j) associated respectively with different azimuth angles Rj. In the example of FIG. 9, the map 5 comprises five bands 50 (1),..., 50 (5) and seven columns 51 (1),..., 51 (7), and the luminance values. Solar energy is expressed as a percentage relative to the maximum value of solar luminance.
    The resolution of the map 5 (in other words the number of bands and columns) and therefore the angular precision depend on the fineness of the image processing implemented by the cartographic module 40, and also on the sensitivity and the resolution of the image. observation system 2. For the first and second observation systems 2a, 2b with photosensitive cells 22, this sensitivity depends on the sensitivity of the photosensitive cells 22, and this resolution depends on the number and distribution of the photosensitive cells 22. For the third observation system 2c of the camera type, this sensitivity and this resolution depend on the quality of the camera. From such a map 5a, 5b, 5c (whether it comes from one or other of the observation systems 2a, 2b, 2c described above), the comparison module 41 implements a comparison of this mapping 5a, 5b, 5c with the cartographic models 6 to extract a map model 6 approaching or equivalent according to predefined approximation criteria.
    In the case of the first observation system 2a, the maps 5a being one-dimensional, the associated cartographic models 6a are also one-dimensional, and each translate a theoretical model of cloud cover translated by a distribution of the solar luminance according to several bands respectively associated with different angles of elevation or inclination Θί.
    With reference to Figures 10 and 11, with a first observation system 2a comprising 5 photosensitive cells 22 distributed at five elevation angles Θ1, Θ2, Θ3, Θ4 and Θ, several associated examples of one-dimensional cartographic models 6a are illustrated; these cartographic models 6a being schematized in the form of histograms (equivalent to the map 5a of FIG. 4), with the ordinate value of the solar luminance expressed relatively in percentage relative to the maximum value of solar luminance, and with on the abscissa the bands 50 (i) (or even the elevation angles Θί).
    A first model 6a shown schematically by histogram 11 (a) corresponds to a model of zero cloud cover, where the solar luminance is at least equal to 80% of the maximum value over an angular sector less than 30 degrees around the angle. direct inclination.
    In this histogram 11 (a), it should be noted that: - at the band 50 (4) and therefore at the elevation angle Θ4 are associated a relative solar luminance of 100%, - for the other bands 50 (1 ), 50 (2), 50 (3), 50 (5), the relative solar luminance is less than 10%.
    This model of zero cloud cover models a sky with almost no cloud, where the direct radiation is substantially located at the elevation angle Θ4.
    A second model 6a schematically represented by the histogram 11 (b) corresponds to an irregular cloud cover model, where the solar luminance is at least equal to 50% of the maximum value over an angular sector less than 30 degrees around the angle. direct inclination, and is at least 20% of the maximum value on an angular sector less than 30 degrees around another angle of inclination.
    In this histogram 11 (b), it should be noted that: - at the band 50 (4) and therefore at the elevation angle Θ4 are associated a relative solar luminance of 70%, - at the band 50 (2) and therefore at the elevation angle Θ2 are associated a relative solar luminance of 30%, - for the other bands 50 (1), k 50 (3) and 50 (5), the relative solar luminance is less than 10% .
    This model of irregular cloud cover models a sky with a single cloud or few unevenly distributed clouds, where the direct radiation is substantially located at the elevation angle Θ4 and where the diffuse radiation of the cloud (s) ) is substantially located at the elevation angle Θ2.
    A third and a fourth model 6a schematized by the histograms 11 (c) and 11 (d) each correspond to a model of large cloud cover, where the solar luminance has, on an angular sector greater than 150 degrees, a low value and a high value, with a difference between the low value and the high value which is less than 50% of the high value, with the high value which is less than 50% of the maximum value and with the high value which is associated with an angle elevation at least 20 degrees away from the direct tilt angle.
    In the histogram 11 (c), it should be noted that the high value is 45% at the elevation angle Θ3 and the low value is 30% at the elevation angles Θ1 and Θ5, while the high value is direct tilt angle corresponds substantially to the elevation angle Θ4. In the histogram 11 (d), it should be noted that the high value is 20% at the elevation angle Θ3 and the low value is 10% at the elevation angles Θ1 and Θ5, while the high value is direct tilt angle corresponds substantially to the elevation angle Θ4.
    This model of great cloud cover models a covered sky, with a cloud surface almost uniform over all the part of observed sky. The model of histogram 11 (d) models thicker cloud cover than in the model of histogram 11 (c).
    A fifth model 6a diagrammatically represented by the histogram 11 (e) corresponds to a model of fine cloud cover where the solar luminance has, on an angular sector greater than 150 degrees, a low value and a high value, with a difference between the value low and the high value which is less than 50% of the high value and with the high value which is associated with an elevation angle less than 20 degrees from the direct inclination angle.
    In the histogram 11 (e), it should be noted that the high value is 37% at the elevation angle Θ4 which corresponds substantially to the direct inclination angle, and the low value is 20% at the elevation angle Θ1 furthest from the elevation angle Θ4.
    In the case of the second and third observation systems 2b, 2c, the maps 5b, 5c being two-dimensional, the associated cartographic models 6 are also two-dimensional, and each translate a theoretical model of cloud cover translated by a distribution of the solar luminance according to several bands respectively associated with different angles of elevation or inclination Θί and according to several columns associated respectively with different angles of azimuth Rj.
    However, it would be conceivable to use one-dimensional cartographic models 6a for the maps 5b, 5c of the second and third observation systems 2b, 2c. To do this, the cartographic module 40 will have to convert the 5b, 5c two-dimensional cartographies into an equivalent one-dimensional cartography. By way of example, and with reference to FIG. 9, this conversion consists in calculating, for each band 50 (i) of the 5c two-dimensional cartography, an equivalent luminance value Leq (i) from the set of values luminance L (i, j) taken in the band 50 (i). For each band 50 (i), the equivalent luminance value Leq (i) of the band 50 (i) is a function of the luminance values L (i, j) taken in the band 50 (i) and azimuth angles Rj of the different columns 51 (j) according to the following formula (with reference to FIG. 7a):
    An equivalent one-dimensional map Ceq is thus obtained translating the distribution of the equivalent luminance values Leq (i) associated with the different bands 50 (i). Then, it is this equivalent monodimensional Ceq mapping that will be compared to one-dimensional cartographic models 6a.
    With reference to FIG. 12, with a third observation system 2c, several associated examples of two-dimensional map models 6c are illustrated; these cartographic models 6c being schematized in the form of two-dimensional images.
    A first model 6c schematized by the image 12 (a) corresponds to a null cloud cover model, just like the model 6a of the histogram 11 (a), where the sun SO is fully visible without the presence of cloud. A second model 6c shown in Fig. 12 (a) corresponds to an irregular cloud cover model, just like the model 6a of histogram 11 (b), where a few scattered NU clouds do not completely hide the sun SO. A third model 6c schematized by the image 12 (c) corresponds to a model of large cloud cover, just like the model 6a of the histogram 11 (c), where the sky is completely cloudy with uniformly distributed NU clouds. and hiding the sun. A fourth model 6c schematized by image 12 (d) corresponds to a model of large cloud cover, like the model 6a of histogram 11 (d), where the sky is completely cloudy with uniformly distributed NU clouds. and hiding the sun, these clouds being thicker than those of the image 12 (c). A fifth model 6c schematized by image 12 (e) corresponds to a model of fine cloud cover, just like model 6a of histogram 11 (e), where the sky is completely cloudy with uniformly distributed NU clouds. but where the sun SO remains visible through the thin thickness of the NU clouds.
    For models of zero cloud cover and irregular cloud cover (shown in histograms 11 (a), 11 (b), and images 12 (a) and 12 (b)), the associated guidance orientation setpoint on the direct inclination angle.
    For models with large cloud cover (illustrated in histograms 11 (c), 11 (d), and in images 12 (c) and 12 (d)), the associated orientation instruction is an orientation instruction on an so-called optimized inclination angle which corresponds to a zero inclination angle for a horizontal tracking of the solar tracker 1.
    For the fine cloud cover model (illustrated in histogram 11 (e) and in image 12 (e)), the associated orientation instruction is an orientation instruction on a predefined intermediate inclination angle taken between the direct inclination angle and the null angle (corresponding to a horizontal of the solar tracker 1).
    The comparison module 41 compares the mapping from the cartographic module 40 with the cartographic models 6 archived in a database 44 as a reminder, and compares said cartography with a cartographic model 6 established as being the closest in terms of distribution of the map. solar luminance.
    To make this comparison and comparison, the comparison module 41 compares the solar luminances band by band (and possibly column by column), and retains the cartographic model 6 having, for each band, the greatest proximity in the value of the luminance solar in the light of a given tolerance.
    Then, once a cartographic model 6 is retained, the orientation instruction associated with the selected cartographic model 6 is sent to the servo module 42, this servo module 42 also retrieving the direct inclination angle from of the astronomical calculation module 43.
    Then, the servo module 42 sends to the actuating system 3 an angular setpoint established on the basis of the orientation instruction associated with the selected cartographic model 6, and which can take the value of the direct inclination angle ( in the case of models of zero cloud cover and irregular cloud cover), the null value (in the case of models with large cloud cover) or an intermediate value between the null value and the value of the direct inclination angle ( in the case of thin cloud cover models).
    It should be noted that if, during a certain time, no cartographic model 6 of the database is close to the successive maps resulting from the observation (because the differences in solar luminance between the cartographies 5 and the cartographic models 6 exceed the tolerances), then the servo module 42 automatically switches in a servo on the direct inclination angle.
    It should be noted that, starting from a servo-control situation on a first orientation instruction associated with a first cartographic model 6, the servo-control module 42 switches in a servo-control to a second orientation instruction associated with a second cartographic model 6 only if, for a certain time, only the second cartographic model 6 is close to the successive maps resulting from the observation. In other words, the servo module 42 sets up a timer to effect a change of orientation, so that the second cartographic model 6 must be brought closer to the maps 5 long enough for the servo module 42 to follow. the second orientation instruction.
    The minimum time of this delay depends on the time, the angular difference between the first orientation setpoint and the second orientation setpoint, a wear rate of mechanical members of the solar tracker 1 requested during a change of orientation of the solar tracker 1, and a power consumption necessary to change the orientation of the solar tracker.
    Of course the implementation example mentioned above is not limiting and other improvements and details can be made to the solar tracker according to the invention, without departing from the scope of the invention where others types of fixed structure or platform can for example be made.
    权利要求:
    Claims (18)
    [1" id="c-fr-0001]
    1. A method for controlling the orientation of a single-axis solar tracker (1) orientable about an axis of rotation (A), said method performing repetitively successive driving phases, where each driving phase sets implement the following successive steps: a) observe the cloud cover over the solar tracker (1); b) comparing the observed cloud cover (5) with cloud cover models (6) stored in a database (44), each model of cloud cover (6) being associated with a solar track orientation setpoint (1) ); c) comparing the observed cloud cover (5) with a cloud cover model (6); d) enslave the orientation of the solar tracker (1) by applying the orientation instruction associated with said model of cloud cover (6) retained in step c).
    [2" id="c-fr-0002]
    2. Method according to claim 1, wherein each model of cloud cover (6) associates an orientation setpoint which is a function of a composition of the cloud layer of said model, said composition depending on at least one of the following parameters : number of clouds, surface area of cloud (s), thickness of cloud (s), location of cloud (s); type of clouds.
    [3" id="c-fr-0003]
    3. Method according to claim 1 or 2, wherein, for each model of cloud cover (6), the corresponding orientation setpoint is predefined according to at least one of the following parameters: a wear rate of mechanical members of the solar follower (1) biased during a change of orientation of the solar tracker (1), a power consumption necessary to change the orientation of the solar tracker (1) and a travel speed of the solar tracker ( 1) during a change of orientation.
    [4" id="c-fr-0004]
    4. Method according to any one of the preceding claims, in which the models of cloud cover (6) comprise: at least one so-called zero cloud cover model which is associated with an orientation instruction on a so-called direct inclination angle established by an astronomical calculation of the position of the sun; at least one so-called high cloud cover model which is associated with an orientation instruction on an so-called optimized inclination angle which does not coincide with the direct inclination angle.
    [5" id="c-fr-0005]
    The method of claim 4, wherein the optimized tilt angle corresponds to an angle associated with a horizontal tracking of the solar tracker.
    [6" id="c-fr-0006]
    6. Method according to claim 4 or 5, wherein the models of cloud cover (6) comprise at least one so-called model of thin cloud cover which is associated with an orientation setpoint on a predefined intermediate angle between the angle of inclination. direct and an angle corresponding to a horizontal tracking of the solar tracker.
    [7" id="c-fr-0007]
    7. Method according to any one of claims 4 to 6, wherein the models of cloud cover (6) comprise at least one so-called model of irregular cloud cover with which is associated a direct orientation directive on the direct angle of inclination .
    [8" id="c-fr-0008]
    8. A method according to any one of the preceding claims, wherein, during step a), the observation of the cloud cover is translated into a map (5) of the solar luminance according to different elevation angles. (Θί) and, in step b), the cloud cover models consist of cartographic models (6) and the comparison is based on a comparison between the distribution of the solar luminance on the map with the distribution of the luminance solar in different cartographic models (6).
    [9" id="c-fr-0009]
    9. Method according to claims 4 and 8, wherein, considering a maximum value of solar luminance corresponding to the maximum value of the solar luminance accessible during a direct radiation observation: the model of zero cloud cover corresponds to a a cartographic model in which the solar luminance is at least 80% of the maximum value over an angular sector of less than 30 degrees around the direct angle of inclination; and the model of large cloud cover corresponds to a cartographic model where the solar luminance has, on an angular sector greater than 150 degrees, a low value and a high value, with a difference between the low value and the high value which is lower than at 50% of the high value, with the high value being less than 50% of the maximum value and with the high value associated with an elevation angle at least 20 degrees from the tilt angle direct.
    [10" id="c-fr-0010]
    The method according to claims 6 and 9, wherein the thin cloud cover model corresponds to a cartographic model where the solar luminance has, on an angular sector greater than 150 degrees, a low value and a high value, with a difference between the low value and the high value which is less than 50% of the high value and with the high value which is associated with an elevation angle less than 20 degrees from the direct inclination angle.
    [11" id="c-fr-0011]
    The method of claims 7 and 9, wherein the irregular cloud cover model corresponds to a map model where the solar luminance is at least 50% of the maximum value over an angular sector of less than 30 degrees around the direct inclination angle, and is at least 20% of the maximum value on an angular sector less than 30 degrees around another angle of inclination.
    [12" id="c-fr-0012]
    12. A method according to any one of the preceding claims, wherein the observation of the cloud cover is carried out according to one of the following methods: - taking images of the sky from the ground by means of a setting apparatus from view, such as a camera; - measurement of the solar luminance from the ground by means of a set of several photosensitive cells; - Satellite image recovery from the sky above the solar tracker (1).
    [13" id="c-fr-0013]
    13. Method according to any one of the preceding claims, in which, during step a), a frequency weighting step is applied to the observation which is a function of both a frequency response of observation and a frequency band useful to the solar collector.
    [14" id="c-fr-0014]
    14. Method according to any one of the preceding claims, wherein, considering that the method implements a servo on a first orientation instruction associated with a first model of cloud cover on a first series of several successive piloting phases. , and considering that, following this first series, the following driving phase retains in its step c) a second model of cloud cover associated with a second orientation setpoint, then the process switches in a servo on said second orientation instruction only if the first series is followed by a second series comprising a predefined number of successive driving phases retaining all the second model of cloud cover during their respective steps c).
    [15" id="c-fr-0015]
    15. The method of claim 14, wherein, if the first series is not followed by a second series comprising the predefined number of successive driving phases all retaining the second model of cloud cover, then the process maintains the servo on said first orientation instruction or tilts in a servo on a direct inclination angle.
    [16" id="c-fr-0016]
    16. The method of claim 14 or 15, wherein the predefined number of successive piloting phases of the second series is a function of at least one of the following parameters: the time, the angular difference between the first instruction of orientation and the second orientation guideline, a wear rate of mechanical members of the solar tracker (1) biased during a change of orientation of the solar tracker (1), and a power consumption necessary to change the orientation of the solar tracker.
    [17" id="c-fr-0017]
    17. Control method according to any one of the preceding claims, wherein, if in a series comprising a predefined number of successive piloting phases where, during each driving phase, no model of cloud cover of the base of data is not close to the observed cloud cover, then the process switches to a servo on a direct inclination angle.
    [18" id="c-fr-0018]
    18. A solar tracking device (1) orientable about an axis of rotation (A), of the type comprising a fixed structure (11) for anchoring to the ground and a platform (12) adapted to support at least one solar collector (13), said platform (12) being operable in rotation on the fixed structure (11) along said axis of rotation (A) by means of an actuating system (3), said solar follower (1) being characterized in it also includes: - an observation system (2) for the cloud cover over the solar tracker (1), - a database (44) archiving cloud cover models (6) each associated with to an orientation set of the solar tracker (1), and - a control unit (4) in connection with the observation system (2) for receiving its observation data, with the database (44) and with the actuating system (3) for controlling the rotation of the platform (12), wherein said control unit (4) is shaped in ur to implement steps b) to d) of the driving method according to any one of the preceding claims.
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    同族专利:
    公开号 | 公开日
    EP3317736B1|2020-02-12|
    CN112947595A|2021-06-11|
    EP3317736A1|2018-05-09|
    US20180196117A1|2018-07-12|
    CN107710098A|2018-02-16|
    US20210223348A1|2021-07-22|
    FR3038397B1|2019-06-07|
    BR112017027598A2|2018-09-04|
    PT3317736T|2020-04-17|
    ES2785926T3|2020-10-08|
    US20210223347A1|2021-07-22|
    US20200309893A1|2020-10-01|
    WO2017001791A1|2017-01-05|
    EP3657294A1|2020-05-27|
    US10684348B2|2020-06-16|
    CN107710098B|2021-03-09|
    引用文献:
    公开号 | 申请日 | 公开日 | 申请人 | 专利标题
    WO1993013396A1|1991-12-31|1993-07-08|Wattsun Corporation|Method and apparatus for tracker control|
    US20070084502A1|2005-10-18|2007-04-19|Kelly Nelson A|Solar photovoltaic output for cloudy conditions with a solar tracking system|
    US20110083718A1|2008-07-29|2011-04-14|Wichner Brian D|Solar panels for receiving scattered light|
    US20130256506A1|2010-10-12|2013-10-03|Qiming Xu|Laterally-Adjusted Automatic Solar Tracking Device|
    DE202011104051U1|2011-08-04|2012-01-12|Markus Masur|Sensors and electronics for controlling free-space tracking with photovoltaic modules|WO2019010387A1|2017-07-07|2019-01-10|Nextracker Inc.|Systems for and methods of positioning solar panels in an array of solar panels to efficiently capture sunlight|
    US11251746B2|2018-11-20|2022-02-15|Nextracker Inc.|Staged stowage of solar trackers and method thereof|KR20010025194A|2000-10-05|2001-04-06|손성일|Solar heat warm warter equipment utilization of semicircle to collect heating plate and supersonic heating device|
    FR2941328B1|2009-01-19|2012-11-02|Commissariat Energie Atomique|METHOD FOR PREDICTING THE ELECTRIC PRODUCTION OF A PHOTOVOLTAIC DEVICE|
    TW201122384A|2009-12-29|2011-07-01|Hon Hai Prec Ind Co Ltd|Solar power generating apparatus|
    US9170033B2|2010-01-20|2015-10-27|Brightsource Industries Ltd.|Method and apparatus for operating a solar energy system to account for cloud shading|
    CN103592956B|2013-11-11|2015-12-02|哈尔滨工程大学|A kind of solar energy photovoltaic panel daylighting automatic monitoring device|PT3108186T|2014-02-19|2021-06-02|Array Tech Inc|Torsion limiter devices, systems and methods and solar trackers incorporating torsion limiters|
    FR3037133B1|2015-06-03|2017-06-23|Optimum Tracker|METHOD OF CONTROLLING PREDICTIVE ORIENTATION OF A SOLAR FOLLOWER|
    CN107491102A|2017-09-21|2017-12-19|郑平珍|A kind of photovoltaic board mount with coupling rotational and corner feedback function|
    WO2021108636A1|2019-11-25|2021-06-03|W. L. Gore & Associates, Inc.|Solar albedo reflector tracker system and reflector film|
    US11139775B1|2020-07-14|2021-10-05|FTC Solar, Inc.|Systems and methods for terrain based backtracking for solar trackers|
    US11108353B1|2020-07-14|2021-08-31|FTC Solar, Inc.|Systems and methods for array level terrain based backtracking|
    法律状态:
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    2017-01-06| PLSC| Search report ready|Effective date: 20170106 |
    2017-12-07| PLFP| Fee payment|Year of fee payment: 3 |
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    2021-07-30| PLFP| Fee payment|Year of fee payment: 7 |
    优先权:
    申请号 | 申请日 | 专利标题
    FR1556228A|FR3038397B1|2015-07-02|2015-07-02|METHOD FOR CONTROLLING THE ORIENTATION OF A SOLAR FOLLOWER BASED ON MAPPING MODELS|
    FR1556228|2015-07-02|FR1556228A| FR3038397B1|2015-07-02|2015-07-02|METHOD FOR CONTROLLING THE ORIENTATION OF A SOLAR FOLLOWER BASED ON MAPPING MODELS|
    US15/739,667| US10684348B2|2015-07-02|2016-06-30|Method for controlling the orientation of a solar tracker based on cartographic models|
    PT167423565T| PT3317736T|2015-07-02|2016-06-30|Method for controlling the orientation of a solar tracker based on map models|
    ES16742356T| ES2785926T3|2015-07-02|2016-06-30|Procedure for piloting the orientation of a solar tracker based on cartographic models|
    BR112017027598-8A| BR112017027598A2|2015-07-02|2016-06-30|method to control the orientation of a solar tracker, control method and solar tracker|
    PCT/FR2016/051650| WO2017001791A1|2015-07-02|2016-06-30|Method for controlling the orientation of a solar tracker based on map models|
    CN202110181966.XA| CN112947595A|2015-07-02|2016-06-30|Method for controlling orientation of solar tracker based on charting model|
    CN201680037999.4A| CN107710098B|2015-07-02|2016-06-30|Single axis solar tracker oriented about an axis of rotation and method of controlling the orientation thereof|
    EP16742356.5A| EP3317736B1|2015-07-02|2016-06-30|Method for controlling the orientation of a solar tracker based on map models|
    EP20151750.5A| EP3657294A1|2015-07-02|2016-06-30|Method for controlling the orientation of a solar tracker based on cartographic models|
    US16/903,127| US20200309893A1|2015-07-02|2020-06-16|Method for controlling the orientation of a solar tracker based on cartographic models|
    US17/222,742| US20210223347A1|2015-07-02|2021-04-05|Method for controlling the orientation of a solar tracker based on cartographic models|
    US17/223,983| US20210223348A1|2015-07-02|2021-04-06|Method for controlling the orientation of a solar tracker based on cartographic models|
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