Patent Application
20120012101
The present invention relates to solar tracking and calibration devices, and in particular tracking systems for photovoltaic, concentrated photovoltaic, and concentrated solar thermal systems that require constant repositioning to maintain alignment with the sun.
In an attempt to reduce the price of solar energy, many developments have been made with respect to lowering the cost of precisely repositioning and calibrating a surface with two degrees of freedom. In concentrated solar thermal systems, heliostat arrays utilize dual axis repositioning mechanisms to redirect sunlight to a central tower by making the normal vector of the heliostat mirror bisect the angle between the current sun position and the target. Heat generated from the central tower can then be used to create steam for industrial applications or electricity for the utility grid.
Concentrated photovoltaic (CPV) systems take advantage of dual axis mechanisms in order to achieve a position where the vector normal to the CPV surface is coincident with the solar position vector. When the CPV surface is aligned to the sun, internal optics are able to concentrate sunlight to a small, high efficiency photovoltaic cell.
Dual axis positioning systems also enable flat plate photovoltaic (PV) systems to produce more power through solar tracking Compared to fixed tilt systems, dual axis PV systems produce 35-40% more energy on an annualized basis. While this increase in energy production may seem attractive, current technology marginalizes the value of biaxial solar tracking by increasing total system capital and maintenance costs by 40-50%.
Traditional solutions to the problem of controlling and calibrating an individual surface fall into one of three main categories: active individual actuation, module or mirror ganging, and passive control. In the active individual actuation model, each dual axis system requires two motors, a microprocessor, a backup power supply, field wiring, and an electronic system to control and calibrate each surface. Moreover, all components must carry a 20+ year lifetime and the system needs to be sealed from the harsh installation environment. In an attempt to spread out the fixed cost of controlling an individual surface, conventional engineers' thinking within the individual actuation paradigm are building 150 square meter (m̂2) heliostats and 225 square meter PV/CPV trackers. While control costs are reduced at this size, large trackers suffer from increased steel, foundational, and installation requirements.
Another approach attempts to solve the fixed controls cost problem by ganging together multiple surfaces with a cable or mechanical linkage. While this effectively spreads out motor actuation costs, it places strict requirements on land grading, greatly complicates the installation process, and incurs a larger steel cost due to the necessary stiffness of the mechanical linkages. Due to constant ground settling and imperfections in manufacturing and installation, heliostat and CPV systems require individual adjustments that increase system complexity and maintenance cost.
Passive systems utilizing hydraulic fluids, bimetallic strips, or bio-inspired materials to track the sun are limited to flat plate photovoltaic applications and underperform when compared to individually actuated or ganged systems. Moreover, these systems are unable to execute backtracking algorithms that optimize solar fields for energy yield and ground coverage ratio.
A robotic controller for controlling a position of multiple solar surfaces in response to movement of multiple solar surface adjustment wheels, each solar surface having a corresponding solar surface adjustment wheel, the robotic controller positioned on a track, the robotic controller including a processing unit, a location determining unit, communicatively coupled to the processing unit, for determining a position of the robotic controller, a drive system, for moving the robotic controller along the track in response to instructions from the processing unit, an adjustment determining system for determining first adjustment parameters for a first solar surface adjustment wheel of the multiple solar surface adjustment wheels; and an engagement system for adjusting the first solar surface adjustment wheel based upon the first adjustment parameters.
Particular embodiments and applications of the present invention are illustrated and described herein, it is to be understood that the invention is not limited to the precise construction and components disclosed herein and that various modifications, changes, and variations may be made in the arrangement, operation, and details of the methods and apparatuses of the present invention without departing from the spirit and scope of the invention which is set forth in the claims.
In an embodiment the invention can be used in conjunction with a heliostat or solar tracker that has its microprocessor, azimuth drive, elevation drive, central control system, and wiring removed. The elimination of these components allows for extreme cost reduction over conventional systems, and creates a fourth actuation paradigm: passive with active robotic control. In this model, a single robotic controller assumes the functional duties of calibrating and adjusting two or more solar surfaces in 3D space.
In a second embodiment of the present invention a robotic controller can move between passive solar surfaces and accurately control the rotation of one or more adjustment wheels near aforementioned surface. These adjustment wheels may be connected to a rigid or flexible shaft that could be routed to a gear train, lead screw assembly, or directly to the solar surface. The gear train, lead screw assembly, or direct drive system transforms rotational input motion into movement of the solar surface. If the gear train, lead screw assembly, or direct drive system is back drivable, additional adjustment wheels may be used to actuate braking mechanisms. The robotic controller is able to reposition a solar surface in one or two axes through control of one or more adjustment wheels and therefore replaces 100+ sets of wiring, motors, central controllers, and calibration sensors. It also eliminates the core engineering assumption—a high, relatively fixed control cost per surface—that drives the development of large heliostats and solar trackers.
As an individual robot must endure 5 to 8 million adjustment cycles per year, the ideal adjustment interface will not use contact to control the position of the adjustment wheel. In a third embodiment, the invention can utilize a magnetic or electromagnetic interface to control the rotation of the adjustment wheels. If an axial flux motor mechanism is utilized, the robotic controller's adjustment wheel interface may contain no moving parts.
In a fourth embodiment the robotic controller can sense the position of an adjustment wheel before, during, and after adjustment. This may be achieved through the use of Hall effect sensors on the robotic controller and a distinct magnet or piece of metal on the adjustment wheel. Methods of metal detection include, but are not limited to: Very Low Frequency (VLF), Pulse Induction (PI), and Beat-Frequency Oscillation (BFO). The robot may also use optical, electromagnetic, or physical marking systems and sensing methods to determine the instantaneous position of an adjustment wheel. This interface may also be used to detect an individual solar surface station in order to reduce the complexity of an individual robot's station sensing mechanism.
In a fifth embodiment, the robotic controller is optimized for rapid adjustment of solar surfaces. The robotic adjustor can quickly analyze: 1) the robotic controller's location in 3D space, 2) Its relation to a solar surface in 3D space, 3) The current sun position based on time of day and location, and 4) the desired pointing position. Once these four variables are known, the robotic controller may calculate the necessary amount of adjustment for an individual solar surface. For PV and CPV applications, the solar surface may be pointed directly toward the sun or at an optimal angle as defined by backtracking control algorithms. In addition, for PV applications, the robot may utilize existing methods that rely on the location, date and time information to determine the position of the sun and point the PV panel in an open loop fashion. Heliostat power tower systems will require the solar surface to bisect an angle between the sun and a central target. As the solar surfaces will not be constantly updated, the optimal position in some applications will place the surface such that it will be in its best orientation midway between adjustments. For example, if 26 degrees is the optimal elevation angle at the time of the adjustment, and 27 degrees will be the new maximum at the time of the subsequent adjustment, a robotic controller may place the surface at 26.5 degrees tilt.
Once calculated, the robotic controller may use an onboard adjustment interface to control the position of a solar surface. The final step in the robotic controller's process is to analyze the distance to an adjacent adjustment station, and utilize an onboard or external drive mechanism to reposition itself for a subsequent adjustment.
In a sixth embodiment two, three, or more grades of robotic controllers can be used to cost effectively reposition a field of solar surfaces. The top and most expensive grade robotic controller may include all mechanisms necessary to precisely calibrate and adjust a field of solar surfaces. The mid grade robotic controller may contain all mechanisms needed to reposition a solar surface and would be built to withstand ten or more years of field operation. The low-grade robotic controller may have the minimum number of functional components to adjust a solar surface quickly, and may be engineered for low cost over longevity.
The ideal passively actuated field may utilize one top grade robotic controller for initial calibration and re-calibration purposes. Mid grade robotic controllers may be used for normal operation and would adjust the solar surfaces based on inputs from the top grade robotic controller. Low-grade robotic controllers may be used in emergency situations and would enable rapid and low cost emergency defocus and/or wind stow.
In a seventh embodiment a field of robotic controllers to communicate with each other and/or a central controller system via a wireless network, direct link system, external switch, or by storing data near individual solar surfaces or groups of solar surfaces.
In an eighth embodiment, the robotic controller includes multiple adjustment wheel interfaces so that a multiplicity of solar surfaces can be adjusted simultaneously.
In a ninth embodiment the robotic controller can control the position of an individual adjustment wheel or wheels without stopping. This may be achieved using a gear rack and pinion system that uses contact, magnetism, and/or electromagnetism to rotate an adjustment wheel.
In a tenth embodiment the robotic controller can move between stations through a hermetically sealed tube to prevent large object, water, and dust ingress. It also may be desirable for the robotic controller to be hermetically sealed in order to add another layer of ingress redundancy.
In an eleventh embodiment the robot transport tube can be routed such that the robotic controllers can be easily returned to a central location.
In a twelfth embodiment two or more robotic controllers can adjust one group of solar surfaces. This enables the solar surface repositioning system to be redundant in the case of a single robotic failure.
In a thirteenth embodiment the robotic controller can include an onboard climate control system that utilizes heat sinks, active cooling/heating systems, and moisture control mechanisms to maintain a constant temperature and environment for internal components. This system is particularly useful in extending the effective life of various onboard energy storage mechanisms.
In a fourteenth embodiment the robotic controller can be charged wirelessly. If electromagnetic coils are used to control the rotation of the adjustment wheels, this interface could be reused to charge an onboard energy storage system inductively.
In a fifteenth embodiment a robotic controller can include a diagnostic system that is able to relay the health of onboard components to other robotic controllers and/or a central control system. This diagnostic system may communicate a regular and periodic message back to the remote operator or be accessed as needed. This system may also be used for in-field quality assurance of passive trackers or heliostats as the robot may actively measure the amount of torque or energy needed to control the position of a solar surface's adjustment wheel. This system may also be used for defect detection in the case that a solar surface's adjustment wheel cannot be rotated. The robotic controller may also utilize onboard sensors to determine if the robot transport tube has any faults.
In a sixteenth embodiment faulty solar surfaces for PV and CPV applications can be detected. In this model, the robotic controller may communicate with a central power collection system to determine the immediate output from a field of solar surfaces. If a single solar surface is rotated away from the sun, and the central power collection system detects no change in power output, the robotic controller may deem the solar surface to be defective. It may also place the solar surface in a special orientation to alert field maintenance workers that a piece of a PV or CPV system is malfunctioning.
In a seventeenth embodiment various pre-programmed control protocols and algorithms can be incorporated into the robotic controller for dealing with various field level scenarios. These robotic control algorithms may also be updated by a field or remote operator.
In an eighteenth embodiment various security features in the robot can be incorporated to deter from reverse engineering and theft. The robot may also include a tracking feature to enable recovery of lost or stolen robots.
The features and advantages described in the specification are not all inclusive and, in particular, many additional features and advantages will be apparent to one of ordinary skill in the art in view of the drawings and specification. Moreover, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter.
The figures depict various embodiments of the present invention for purposes of illustration only. One skilled in the art will readily recognize from the following discussion that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the invention described herein.
A preferred embodiment of the present invention is now described with reference to the figures where like reference numbers indicate identical or functionally similar elements. Also in the figures, the left most digits of each reference number corresponds to the figure in which the reference number is first used.
Reference in the specification to “one embodiment,” “a first embodiment,” “a second embodiment or to “an embodiment” (for example) means that a particular feature, structure, or characteristic described in connection with the embodiments is included in at least one embodiment of the invention. The appearances of the phrase “in one embodiment,” “a first embodiment,” “a second embodiment” or “an embodiment” (for example) in various places in the specification are not necessarily all referring to the same embodiment.
Some portions of the detailed description that follows are presented in terms of algorithms and symbolic representations of operations on data bits within a computer memory. These algorithmic descriptions and representations are the means used by those skilled in the data processing arts to most effectively convey the substance of their work to others skilled in the art. An algorithm is here, and generally, conceived to be a self-consistent sequence of steps (instructions) leading to a desired result. The steps are those requiring physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electrical, magnetic or optical signals capable of being stored, transferred, combined, compared and otherwise manipulated. It is convenient at times, principally for reasons of common usage, to refer to these signals as bits, values, elements, symbols, characters, terms, numbers, or the like. Furthermore, it is also convenient at times, to refer to certain arrangements of steps requiring physical manipulations or transformation of physical quantities or representations of physical quantities as modules or code devices, without loss of generality.
However, all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities. Unless specifically stated otherwise as apparent from the following discussion, it is appreciated that throughout the description, discussions utilizing terms such as “processing” or “computing” or “calculating” or “determining” or “displaying” or “determining” or the like, refer to the action and processes of a computer system, or similar electronic computing device (such as a specific computing machine), that manipulates and transforms data represented as physical (electronic) quantities within the computer system memories or registers or other such information storage, transmission or display devices.
Certain aspects of the present invention include process steps and instructions described herein in the form of an algorithm. It should be noted that the process steps and instructions of the present invention could be embodied in software, firmware or hardware, and when embodied in software, could be downloaded to reside on and be operated from different platforms used by a variety of operating systems. The invention can also be in a computer program product which can be executed on a computing system.
The present invention also relates to an apparatus for performing the operations herein. This apparatus may be specially constructed for the purposes, e.g., a specific computer, or it may comprise a general-purpose computer selectively activated or reconfigured by a computer program stored in the computer. Such a computer program may be stored in a computer readable storage medium, such as, but is not limited to, any type of disk including floppy disks, optical disks, CD-ROMs, magnetic-optical disks, read-only memories (ROMs), random access memories (RAMs), EPROMs, EEPROMs, magnetic or optical cards, application specific integrated circuits (ASICs), or any type of media suitable for storing electronic instructions, and each coupled to a computer system bus. Memory can include any of the above and/or other devices that can store information/data/programs. Furthermore, the computers referred to in the specification may include a single processor or may be architectures employing multiple processor designs for increased computing capability.
The algorithms and displays presented herein are not inherently related to any particular computer or other apparatus. Various general-purpose systems may also be used with programs in accordance with the teachings herein, or it may prove convenient to construct more specialized apparatus to perform the method steps. The structure for a variety of these systems will appear from the description below. In addition, the present invention is not described with reference to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any references below to specific languages are provided for disclosure of enablement and best mode of the present invention.
In addition, the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, the disclosure of the present invention is intended to be illustrative, but not limiting, of the scope of the invention.
Referring now to the drawings,
The robot transport track may include a hollow square or circular tube made out of aluminum, steel, non-ferrous metals, ferrous metals, plastic, or composite materials. The passive solar surface may be supported by a number of foundation types including but not limited to: driven pier (107), ground screw, ballasted, or simply bolted to a rigid surface. The robot transport tube may also be used as a foundational support for individual passive solar surfaces.
It is desirable to provide a large amount of input torque to the adjustment wheels as to decrease the gear reduction needed to reposition a solar surface. Contact based adjustment methods may be used, but are prone to poor station alignment, mechanical fatigue, and are difficult to seal from the installation environment. If necessary, the robotic controller may use positive mechanical engagement, friction, or suction based systems, for example, to mechanically control the rotation of an adjustment wheel.
To reposition a solar surface, the robotic controller must be able to control the position of one or more adjustment wheels. This may be accomplished through the use of an adjustment interface that can include solid-state electromagnetic coils (401) that may be activated/deactivated individually. Adjustment wheel rotation sensors (403) may enable the robotic controller to determine the instantaneous position of the adjustment wheel. Other components of the robotic controller not depicted may include but are not limited to an individual station detection unit, global or relative location discovery unit, internal wiring, central processing unit, motor driver controller, drive motor encoder, onboard climate control system, battery management system, contact based charging system, inductive charging system, distance proximity sensor, data storage system, capacitor storage system for regenerative braking purposes, and wireless data transmitter/receiver. The precise placement of these components varies depending on the embodiment as they can be housed in many configurations within the confines of a robotic controller.
When a robotic controller is first deployed, its initial goal is to understand its environment and the passive trackers/heliostats it will be controlling. This begins with the robotic controller moving towards an adjustment wheel (601) and continually searching for a braking point (602) placed near a solar surface. This point could be an actual marking on the beam, a magnet, or a piece of metal, for example. If there is an actual marking on the beam, the robotic controller may be outfitted with a camera to detect this point. If the braking point is magnetic or metallic, the robotic controller may be outfitted with Hall effect sensors or metal detection system to discover the braking point. In one embodiment, the adjustment wheel or markers on the adjustment wheel used for rotational sensing may be used as the braking point. After the braking point has been detected, the robotic controller may activate its braking mechanism (603). Methods of braking may include but are not limited to: deactivation of the drive motor, application of a wheel brake, application of a motor brake, regenerative braking, or a hybrid of these braking mechanisms. While the device is slowing down, the robotic controller searches for the final adjustment point (604). Once this point has been found, it applies a full brake and brings itself to a complete stop (605).
After properly aligning itself to one or more adjustment wheels, the robotic controller discovers its relative orientation to the solar surface. If it is the first time that a robotic controller has visited a particular solar surface adjustment station, it may “zero” the solar surface by adjusting it to zero degrees tilt and zero degrees of azimuthal rotation or another defined setting. To achieve this goal, the robotic controller may engage an adjustment wheel (606), and begin rotating it (607). While rotating, it may use onboard adjustment wheel sensors (403) to verify that the wheel is spinning properly (608). The solar surface may have hard calibration stops that prevent it from being rotated past the zero point. In these systems, the robotic controller may stop trying to adjust the system once the wheel can no longer be rotated (609). To prevent damage to a passive surface or a gear train attached to a passive surface, a robotic controller's adjustment wheel interface may include a mechanism that prevents the system from delivering a damaging amount of torque.
For applications that do not require much precision, the robotic controller may use these stops and record the number of adjustment wheel revolutions from an initial calibration point during daily operation to estimate the current orientation of the surface. For more precise applications, the robot may also use a structured or natural light camera to analyze the underside of a solar surface to determine its relative orientation in 3d space. Once this information has been obtained, it is relayed to a central processor for analysis.
Depending on the solar application, it may also be necessary to find the absolute or relative location of the solar surface in X, Y, and Z coordinates. This may be accomplished with an onboard GPS unit with a triangulation system that utilizes three locations in the field of solar surfaces. In this second method, the robotic controller may emit a signal and measure the time delay from each defined point in the field. Using this information, it may determine its relative location to other components in the field of solar surfaces.
The central processing may now analyze inputs from the calibration camera, location discovery unit, internal clock, and combine this with the known gear reduction of the passive solar tracker/heliostat, and known field geometry (610). Inputs from the robot's internal clock and discovered or known global location can be used to calculate the current solar vector (611). Inputs from the robot's calibration camera, location discovery unit, adjustment wheel sensing mechanism, and/or historic adjustment information from past adjustments can be used to approximate the orientation of a solar surface in 3D space. In one embodiment, the passive solar tracker or heliostat driven by the adjustment wheels has anti-back drive properties. These systems only require a one-time calibration as wind and other forces are unable to move the solar surface between adjustments.
PV and CPV applications may use up to five pieces of information for proper repositioning. The orientation of the solar surface, the position of the sun, the orientation of adjacent trackers, the distance between trackers, and the pre-defined tracker area and dimensions of the solar surface. Standard solar tracking algorithms may only require the first two pieces of information, but the robot uses the other three to properly execute backtracking control algorithms. These algorithms optimize a solar field for minimal inter-tracker shading, and therefore understand the shadows that are currently being generated by adjacent trackers, and the shadow that an individual solar tracker will cast on its neighbors. More details regarding backtracking are found at Mack, Solar Engineering: http:/www.rw-energy.com/pdf/yield-of-s_wheel-Almansa-graphics.pdf which is incorporated by reference herein in its entirety.
Heliostat applications require the robot to discover the vector from a solar surface to a solar target. This may be achieved by finding the location of both the solar target and the solar surface in a global or relative coordinate plane. Once the desired change in solar surface orientation has been calculated, the central processor analyzes a passive system's known gear reduction to determine how many degrees it should rotate an adjustment wheel linked mechanically or magnetically to the solar surface (612).
For passive trackers or heliostats that do not have inherent friction braking or anti-back drive properties, an active solar surface braking mechanism may be necessary. For these systems, the robotic controller deactivates the brake prior to rotating the adjustment wheel or wheels. This brake may be actuated with another adjustment wheel. The robotic controller may then use its adjustment wheel interface to rotate one or more adjustment wheels. In one embodiment, the robotic controller has a multiplicity of electromagnetic coils that can be activated individually or in groups. This system is able to control the rotation of a metal or magnetic adjustment wheel by firing the coils as an axial flux or induction style motor (613). The coils may be fired blindly or may obtain feedback from an adjustment wheel sensing mechanism that determines the instantaneous degree of rotation of an adjustment wheel (614).
Once adjustment is complete, the central processor may send a signal to actuate the braking mechanism if necessary. This re-engages the gear braking mechanism and prevents outside forces from altering a solar surface's orientation until its next adjustment from the robotic controller. As a final step of this process, the robotic controller may use onboard proximity sensors or past operational history to determine if it is currently at the end of a row of solar surfaces (615). If yes, it may move backward until it reaches the first solar surface adjustment point (616). If no, the controller may repeat this adjustment cycle (617). Also note that it is possible to connect the ends of a robot transport tube such that it forms a continuous loop. In this embodiment, robotic controller would continue circulating the robot transport tube until nighttime or stopping for maintenance.
The processor that determines the behavior of the robotic controller and its sub components could be located on the robotic controller directly, at a central processing station, or on another robotic controller in the field of solar surfaces. If the processor is not onboard, the robotic controller may require a wireless or direct data link to receive operational instructions.
After a day of adjusting solar surfaces, the robotic controller may need to recharge its onboard energy storage mechanism. It may also recharge this system two or more times throughout the day.
It may be desirable for a field of solar surfaces to be adjusted by three or more grades of robotic controllers.
Unlike a top grade robot, a mid-grade robotic controller pulls its input for the adjustment point's location from a data storage unit instead of a location discovery unit (701). It also determines the relative orientation of a solar surface from an onboard data storage unit and Hall effect sensors instead of a precise calibration camera. The data storage unit stores the number of adjustment wheel rotations from the zero point, and the adjustment wheel sensing mechanism is used to determine the exact degree of wheel rotation (702). Combined with known gear reduction information, this data may be sufficient for the mid grade robotic controller to approximate the orientation of a solar surface in 3D space. As the mid grade robotic controller does not have a method of determining the exact orientation of a solar surface directly, it may save the degree of adjustment wheel rotation performed to one or more adjustment wheels so that it may properly reorient a solar surface in future adjustments.
After a day of adjusting solar surfaces, the robotic controller may need to recharge its onboard energy storage mechanism. It may also recharge this system two or more times throughout the day.
During emergency procedures, the low-grade robotic controller would not need to know the current position of a solar surface, only that the solar surface must be either a) moved 2-5 degrees away from its current position or b) moved into a horizontal wind stow position. It may have an onboard anemometer to determine current wind speed or may be connected to a central network that sends the low-grade robotic controller a signal to initiate an emergency wind stow procedure (801). This procedure begins with the robotic controller moving itself near an individual solar surface, stopping near a solar surface's adjustment wheel (605), and rotating the adjustment wheel a pre-defined number of revolutions (802). It may also use an adjustment wheel sensing mechanism (403) to determine if the adjustment wheel has stopped rotating (614). If it has, this may indicate that the low-grade robotic controller has driven the passive solar tracker or heliostat into its wind stow hard stop.
The process for emergency defocus may be even simpler than for emergency wind stow. As the purpose of this procedure is to move a heliostat's image away from a solar target, the low-grade robotic controller only needs to be able to quickly alter the position of many solar surfaces.
For direct data transfer, each robotic controller may be equipped with contacts that can interact with contacts on other robots or a centralized data unit. When these systems make physical contact, data may be transferred from one device to another.
A human or robotic field operator may activate certain features on a top, mid, or low-grade robot that correspond to certain pre-programmed actions. Actuating an external, magnetic, or electromagnetic switch may initiate these actions. For example, if a low-grade robot has a pre-programmed emergency defocus feature, a mid-grade robot may be able to activate it simply by running into it and depressing a push button switch.
It is also useful to be able to store relevant data near individual solar surfaces or groups of solar surfaces. In one embodiment, an RFID chip (903) placed near a solar surface may be used to store the information about each solar surface's absolute or relative location in the field and how this corresponds to the initial position of each adjustment wheel. These systems would require individual robotic controllers to have an RFID writer and/or RFID reader. Other methods of storing data locally include but are not limited to using semiconductor, magnetic, and/or optical based data storage technologies.
The robotic controller can utilize a long strip of sensors (403) that measure the instantaneous degree of wheel rotation to confirm that the adjustment wheel (102) has been engaged and is spinning properly. A robotic controller that does not stop or make physical contact with individual solar surfaces may accurately reposition up to 1.2 MW of photovoltaic modules if moving at a constant rate of 5 MPH.
The robotic controller depicted in
This figure demonstrates that while an individual robotic controller may normally adjust a particular row of solar surfaces, it can utilize an onboard drive motor to return itself to a central station for maintenance (1201). This style of track routing also enables a field operator easily deploy a field of robotic controllers by inserting two or more of them into a central station. This central station may also be used for charging or maintenance purposes.
In the case that a field of solar surfaces does not have a central robot collection system, two or more robots may be placed into one section of track. These two or more robots may establish a constant data transfer link. One robot may assume daily operation (1202) while the other serves as a redundant robot (1203) to prevent power loss due to failed controllers not being able to properly reposition a solar surface's adjustment wheels.
It may be useful to use batteries, capacitors, super capacitors, or other forms of energy storage to reduce installation complexity and overall system cost as a single battery can replace one mile of electrified track.
An inductive charging station (1401) placed at any location on the robot transport tube is able to transfer energy to the robotic controller by generating an oscillating electromagnetic field. An inductive coil loop (1402) placed on the robotic controller (301) is able to capture this energy and store it within an onboard energy storage mechanism. Other forms of power transfer that could be utilized by the robotic controller include, but are not limited to: electrostatic induction, electromagnetic radiation, and electrical conduction.
This process may begin with the robotic controller relaying all saved operational data to a central processing system or network (1505). This data may include, but is not limited to: historical temperature and moisture readings on internal and external sensors, historic meteorological data from an on or offsite monitoring system, historic current and voltage readings from all onboard components, and SOC/SOS readings from an onboard energy storage mechanism. The diagnostic system may then compare this information to past operational data (1506) and to pre-defined safe ranges of operation (1507). Analysis of irregularities may be used to determine the current health of individual components and/or to perform preventative maintenance of a robotic controller (1508).
To determine the health of a robotic transport tube (1502), the robotic controller may access data from onboard cameras or proximity sensors that are able to inspect the physical features of the track (1509). If any abnormalities are discovered, such as an object protruding into the track, a large build up of dirt in one section of track, a hive of insects, or a puncturing in the track that allows foreign object ingress, the robotic controller may send a signal to a field or remote operator (1510). A field or remote operator may access a live video feed from the robotic controller's camera in order to better assess a maintenance situation.
To determine the health of a passive solar tracker or heliostat, a robotic controller may access the data log generated from adjusting an individual tracker (1511). It may then access the data log measuring the amount of input torque/current needed to rotate an adjustment wheel (1512) and understand how this metric changes over time. If the robot uses an electromagnetic interface, this torque metric can be determined by recording the average current delivered to the interface over the course of an adjustment. In one example, if the diagnostic system recognizes that a passive solar tracker that usually requires 95 +/−5 amps suddenly begins requiring 320 +/−20 amps to adjust during normal operating conditions, it may deem this individual passive tracker to be dysfunctional and send an alert a field maintenance worker (1513). The robotic controller may also use vision-based systems to inspect and analyze the health of an individual solar tracker or heliostat. This video input may be relayed directly to a field operator to assess the health of the tracking system. If a passive tracker's torque/current readings are within an acceptable range, this portion of the process (1503) may be repeated for every passive surface (101) under a robot's control domain.
To autonomously determine the health of an individual PV or CPV surface (1504), the robotic controller may first move an individual tracker into its optimal orientation (1515). It may then communicate with a device that is able to monitor the power output of a central inverter, combiner box, or individual string of solar modules (1516). As it is possible that in the robotically controlled system that only one module in a group of modules may be actuated at a single moment in time, the power output reading should remain relatively constant. Once a data link has been established, the robot may execute a search algorithm (1517) where it moves the passive surface in a spiral while monitoring system output. It may then record the maximum power point (1518) and adjust the tracker so that it is no longer facing the sun (1519). The diagnostic system may measure the change in central inverter, combiner box, or string level output (1520). This information can be used to determine the degradation percentage of an individual module by measuring the exact difference in central inverter, combiner box, or string level output and comparing this to a module's rated output (1521) to calculate degradation percentage (1522). If no change is detected, this may indicate that an individual solar surface (101) is not contributing to the PV or CPV system's total output. This module may be classified as defective and the robotic controller may use its adjustment interface to place this surface in a special configuration as to alert field maintenance workers of the potential problem (1523). If the degradation percentage is within an acceptable range, sub process 1504 may be repeated for all surfaces under a robot's control domain (1524).
The robotic controller may also include pre-programmed algorithms and security features to protect itself from theft and/or reverse engineering. Onboard controllers and data storage units may be encrypted to prevent access to control protocols and data stored on the robot. In addition, there may be sensors that detect unauthorized access to the robot, including attempts to open a robotic controller. The controller may respond to such actions by notifying a remote operator and/or erasing the control algorithms and operational data. At the time of deployment, each robot may be initialized with its deployment location and unique identification number. If the robot, field operator, or remote operator detects that the robot is no longer in the assigned location, then an appropriate action may be taken to retrieve the lost or stolen robotic controller.
While particular embodiments and applications of the present invention have been illustrated and described herein, it is to be understood that the invention is not limited to the precise construction and components disclosed herein and that various modifications, changes, and variations may be made in the arrangement, operation, and details of the methods and apparatuses of the present invention without departing from the spirit and scope of the invention.
This application claims priority from U.S. provisional application No. 61/364,729 filed on Jul. 15, 2010, and U.S. provisional application No. 61/419,685 filed on Dec. 3, 2010 which are all incorporated by reference herein in their entirety. This application is related to U.S. application Ser. No. 13/118,274 which is incorporated by reference herein in its entirety.
| Number | Date | Country | |
|---|---|---|---|
| 61364729 | Jul 2010 | US | |
| 61419685 | Dec 2010 | US |
