A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever.
Embodiments of the present invention relate generally to Energy Management and Control Systems (EMCS), and in particular, systems, methods, and apparatuses for implementing a roll-lock snap-on current transformer which operates within or complementary to an energy management and control system.
The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to disclosed embodiments.
Previously known energy management and control systems are not sufficiently integrated into the fabric of the control panels and wiring at a circuit level.
Previously known energy management and control systems are incapable of sufficient integration inside electrical panels. For example, such systems provide no mechanism by which a monitoring device may clamp on to a wire innocuously with no wires hanging out in order to meet common Fire Marshal requirements for safety. Previously known clamp-on CTs (Current Transformers) installed into a facility and its circuits to characterize energy usage must be removed before the Fire Marshal arrives because such previously known clamp-on CTs result in a “rats nest” of wiring and instrumentation hanging out of the panels or off the wiring which cannot pass a Fire Marshal inspection, and thus, does not permit permanent on-going usage and installation.
Previously known energy management and control systems lack energy monitoring current transformer based units with algorithms to perform statistical analysis.
The present state of the art may therefore benefit from systems, methods, devices, and apparatuses for implementing a roll-lock snap-on current transformer and associated and complementary PeakPower Energy Management and Control Systems as described herein.
A PeakPower Commander System provides local or remote monitoring and/or control of power and other utilities and devices, including security, for commercial, industrial or residential applications. Energy Sensors may plug into a circuit breaker panel with existing Breakers, or snap onto the wiring near a piece of equipment in accordance with various disclosed embodiments set forth below.
The present invention may be better understood, and its numerous objects, features, and advantages made apparent to those skilled in the art by referencing the accompanying drawings.
Described herein are systems, devices, methods, and apparatuses for implementing a roll-lock snap-on current transformer and associated and complementary PeakPower Energy Management and Control Systems.
In a particular embodiment, a PeakPower Energy Management and Control System has one or more roll-lock snap-on current transformer power monitoring devices, each to avoid interrupting power when installing current and/or power monitors. Each roll-lock snap-on current transformer power monitoring device may be snapped onto existing power wires inside a power panel or near equipment being monitored without disconnecting any wires or turning off power. Each roll-lock snap-on current transformer power monitoring device may be utilized in standalone mode as well as within a PeakPower Energy Management and Control System in accordance with disclosed embodiments. Each roll-lock snap-on current transformer power monitoring device may communicate via the power lines (via a Power Line Controller (“PLC”)) or communicate via wireless using an integrated microprocessor based RF transceiver.
The disclosed embodiments enable analysis which is not available within previously known power management and monitoring mechanisms. For instance, the disclosed embodiments enable Least Mean Squares best fits, first and second derivatives, power spectral densities, autocorrelations, cross correlations, probability density functions. The disclosed embodiments enable first and second derivatives and use of historical graphs and graphs of similar equipment to anticipate equipment abnormalities and potential failures as well as comparing the energy consumption patterns of a piece of equipment at one location to the same or similar type of equipment at another location.
The disclosed embodiments enable control and orchestration which is not available with previously available power management and monitoring mechanisms. The disclosed embodiments enable control and orchestration of diverse equipment and devices to reduce Energy consumption throughout the day, week, month, year, etc.
The disclosed embodiments enable cross correlations and comparisons across many sites which is not available within previously known power management and monitoring mechanisms. Previously known energy management and control systems are largely localized at a specific location with no means for comparing the energy consumption patterns of a piece of equipment at one location to the same or similar type of equipment in other buildings at other locations in real-time.
The disclosed embodiments enable active remote control methods which are not available in previously available energy management and control systems. For instance, through practice of the disclosed embodiments one is able to actively and remotely control energy usage and thermostats via the internet, (e.g. in case someone leaves an Air Conditioner on after hours, an authorized user may turn it off remotely, using their secure ID and Password).
The disclosed embodiments enable virtually continuous monitoring and analysis and early detection of failure signs in energy consuming equipment which are not available in previously known energy management and control systems. The disclosed embodiments also detect increasing energy usage which could lead to potential failure.
The disclosed embodiments derive power usage signatures for each piece of equipment which are not available in previously known energy management and control systems. For instance, the PeakPower System systematically derives power usage signatures for each major piece of equipment at the site by virtually continuously, monitoring and analyzing the energy consuming equipment and it's normal On/Off cycle wave-forms and it's normal upper bounds, lower bounds and “corridors” of operation as well as the slopes and inflection points of the signature wave-forms.
The disclosed embodiments adaptively and proactively manage Peak Power usage which is not available in previously known energy management and control systems. For instance, the PeakPower adaptively and proactively gathers the local peak hours over the web and institutes policies prior to the peak energy hours each day to reduce energy during the peak hours, using methods such as such as pre-cooling freezers, chillers, coolers and HVACs lower than normal just prior to the peak hours, then after they warm back up, immediately switching to a defrost cycle on refrigeration equipment to save even more energy.
The disclosed embodiments actively remotely control energy usage using methods and apparatuses unavailable in previously known energy management and control systems. The PeakPower System actively, remotely controls energy usage and thermostats via the internet, (e.g. in case someone leaves an Air Conditioner on at a time, it's not normally used according to its derived historical usage profile).
Through the practice of the disclosed embodiments, it is not necessary to interrupt power and there are no screws to loosen or tighten. In one embodiment, a small Linux based system (e.g., a PeakPower Gateway) collects all the data on-site at each building and forwards it to a main server(s) at a Data Center.
In one embodiment, a PeakPower Commander System is closed-loop. It not only senses and analyzes the energy and utilities, it also provides closed loop control, for example, it will monitor temperature, reset a thermostat or turn on/off an air conditioning unit, parking lot lights, etc. locally or remotely and it is Plug-n-Play for simplicity.
In one embodiment, parts of a PeakPower System include, for example:
Items a thru d in the list above are Sensors and items e and f are Controllers. However, a relay may also control a solenoid valve to shut-off water, refrigerants or other liquids if there is a leak or if something is left on at an odd time that doesn't correlate well with the normal usage pattern. In one embodiment, the system is continually gathering and cataloging data into its knowledgebase.
Note that reference to the term “PeakPower” is short for a power monitoring system enabled via the disclosed embodiments set forth herein, or a reference to components of the PeakPower system, enabled by the disclosed embodiments, such as components of a power monitoring system which are disclosed herein and may be used in conjunction with a power monitoring system. Some components, such as the roll-lock snap-on current transformer power monitoring device disclosed herein may be used in conjunction with a PeakPower system as disclosed, used with other power monitoring systems, or used in a stand-alone mode, absent a power monitoring system of any kind.
In one embodiment, the PeakPower system and all these sensors/controllers are local area networked to a Gateway node which is connected through the Internet on a Wide Area Network, through a firewall.
In one embodiment, the PeakPower System saves a large amount of energy by peak flattening. Certain hours of the day, the electric companies experience Peak Demand and they charge commercial customers based on that peak usage. In one embodiment, the PeakPower System gleans these peak hours from the web, then it pre-cools all freezers, chillers, coolers, HVACs etc, prior to the peak times (such as just prior to, or at a time sufficient to enable energy used to cool to a determined threshold to be expended during the non-peak time), to minimize energy usage during peak times. In one embodiment, it also re-schedules defrost cycles for peak usage times to minimize or flatten the peak usage. PeakPower software tracks peak hours based on the location of each installation.
In one embodiment, the PeakPower monitoring and controlling software is adaptive insomuch as it extracts the unique signature of each piece of equipment in real-time and correlates it with its historical signatures as well as the normal signature and specifications from the manufacturer, which the PeakPower software periodically gleans from the web. In one embodiment, it also cross-correlates it to signatures on similar pieces of equipment and derives variances and the current “character” of the equipment relative to its history and its peers.
In one embodiment, the PeakPower System, the “signature” of the equipment is systematically derived in two distinct pieces, the “Power On” signature component is sampled hundreds of times faster than the “Steady State” portion of the signature. See
In one embodiment, the PeakPower System, these power usage signatures for each major piece of equipment at each site are virtually continuously, monitoring and analyzing the energy consuming equipment and it's normal On/Off cycle wave-forms and it's normal upper bounds, lower bounds and “corridors” of operation as well as the slopes and inflection points of the signature wave-forms to detect anomalies versus the equipments historical signatures as well as cross-correlating to detect anomalies versus other equipment of the same or similar model.
In one embodiment, the PeakPower System maintains a knowledge base of all similar equipment and it can predict failures by even subtle changes in the signatures. It can determine if there is a refrigerator door is open. It can determine if something is going wrong in a piece of equipment and it sends an alert or alarm quickly to a designated person so they can take action or sign onto the portal to see the magnitude of any issues.
In one embodiment, the PeakPower System has an interactive portal which may be used on a Smartphone, Tablet, PC, Pad or other computing devices for delivering local and/or remote monitoring and alerts/alarms 24×7 of an entire building. It has an online dashboard. Alert/Alarm messages may be sent to anyone designated. They receive the alert/alarm message via email, text, and/or voice. The designee may then logon to the interactive portal and examine on a very detailed basis, the data for each piece of equipment. They have access to that data on a password-protected basis to look at each piece of equipment, the whole building of equipment, an entire chain of buildings or around the world for Multi-National Companies.
Over time, as the PeakPower Knowledge Base grows larger, the PeakPower System gets smarter and smarter about all of the diversity of equipment, in buildings around the world in accordance with the disclosed embodiments.
Applicants have recognized an unfulfilled need for an Energy Monitoring Current Transformer that fits cleanly either inside the Circuit Breaker Panel or on the wiring near the equipment being monitored to report energy usage without additional wires (i.e. it uses Wireless, RF and/or PLC) so that wires, pig-tails, and leads do not extend from the Energy Monitoring Current Transformer, so as to comply with local code and Fire Marshall safety requirements.
Practice of the disclosed embodiments may provide a highly integrated, innocuous (almost invisible) energy management and control system hardware/software/system, which may be monitored and controlled over the Internet from virtually anywhere in the world.
Practice of the disclosed embodiments may provide virtually continuous, monitoring and analysis of energy consuming equipment and detect early warning signs of increasing energy use or potential failure.
Practice of the disclosed embodiments may provide actively remotely controlled energy usage and thermostats via the internet, (e.g. in case someone leaves an Air Conditioner on after hours, you may receive an SMS message to override it, which you may enter the secure command to override it remotely).
Practice of the disclosed embodiments may fulfill the need for an Energy Monitoring Current Transformer that fits cleanly either inside the Circuit Breaker Panel or on wiring near the equipment being monitored to report energy usage without additional wires whilst simultaneously meeting required Fire Marshall safety requirements or other requirements as established by local code (e.g., no wires or pig-tails hanging from a monitoring device coupled with a power wire to be monitored).
In the following description, numerous specific details are set forth such as examples of specific systems, languages, components, etc., in order to provide a thorough understanding of the various embodiments. It will be apparent, however, to one skilled in the art that these specific details need not be employed to practice the embodiments disclosed herein. In other instances, well known materials or methods have not been described in detail in order to avoid unnecessarily obscuring the disclosed embodiments.
In addition to various hardware components depicted in the figures and described herein, embodiments further include various operations which are described below. The operations described in accordance with such embodiments may be performed by hardware components or may be embodied in machine-executable instructions, which may be used to cause a general-purpose or special-purpose processor programmed with the instructions to perform the operations. Alternatively, the operations may be performed by a combination of hardware and software.
Embodiments also relate to a system and/or apparatus for performing the operations disclosed herein. This apparatus may be specially constructed for the required purposes, or it may be 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 not limited to, any type of disk including floppy disks, optical disks, CD-ROMs, and magnetic-optical disks, read-only memories (ROMs), random access memories (RAMs), EPROMs, EEPROMs, magnetic or optical cards, or any type of media suitable for storing electronic instructions, each coupled to a computer system bus.
The algorithms and displays presented herein are not inherently related to any particular computer or other apparatus. Various general purpose systems may be used with programs in accordance with the teachings herein, or it may prove convenient to construct more specialized apparatus to perform the required method steps. The required structure for a variety of these systems will appear as set forth in the description below. In addition, embodiments are 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 embodiments as described herein.
Embodiments may be provided as a computer program product, or software, that may include a machine-readable medium having stored thereon instructions, which may be used to program a computer system (or other electronic devices) to perform a process according to the disclosed embodiments. A machine-readable medium includes any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computer). For example, a machine-readable (e.g., computer-readable) medium includes a machine (e.g., a computer) readable storage medium (e.g., read only memory (“ROM”), random access memory (“RAM”), magnetic disk storage media, optical storage media, flash memory devices, etc.), a machine (e.g., computer) readable transmission medium (electrical, optical, acoustical), etc.
Any of the disclosed embodiments may be used alone or together with one another in any combination. Although various embodiments may have been partially motivated by deficiencies with conventional techniques and approaches, some of which are described or alluded to within the specification. The embodiments need not necessarily address or solve any of these deficiencies, but rather, may address only some of the deficiencies, address none of the deficiencies, or be directed toward different deficiencies and problems where are not directly discussed.
The PeakPower Management and Control System may be organized as a hierarchical system. It is comprised of a Central Server at the top which manages and controls several Gateways at several different locations.
A single pair of Web/Back End Servers can manage and control over 100 buildings.
Note that equipment power usage characteristics and curves on a piece of equipment in Location 1 may be analyzed and correlated with the patterns observed on the same type equipment in Location 2 or Location n and adjusted for environmental conditions, to determine if it is outside an adaptively determined corridor of operation. If so, an ALERT or an ALARM will be set dependent on how far outside limits it is or how rapidly (derivative) it is proceeding to go out of limits. Very subtle deviations in trends are detected and reported, before they become an emergency.
The PeakPower Management and Control Apparatus that includes sensors, relays, acquisition, processing and analysis software and operational user interface. The sensors monitor power in the power lines, they also derive all the power to drive the monitor module apparatus from the power lines they are monitoring. These modules also communicate over power lines all without making physical contact with said power lines.
The Power Management and Control Software 240 performs statistical analysis on all signals including least mean squares, first and second derivatives, FFTs auto and cross correlations, modal analyses and uses a large library of algorithms to analyze data acquired in real-time versus historical data as well as correlating it with manufacturers specs as well as data from the same model of equipment in other locations to detect early warning signs of potential failures or anomalies in the power used by this equipment versus other same or similar equipment in order to optimize energy use and all but eliminate emergencies.
The Power Management and Control User Interface are shown replicated on the Computer, Cell Phone and PDA in 250 uses a priority pop-up scheme to pop-up the most critical alert or alarm item out of the group currently being monitored to bring instant attention to it (Border and corresponding “Idiot Light” colored Red is a Critical ALARM) (Border and corresponding “Idiot Light” colored Yellow is a warning ALERT) (Border and corresponding “Idiot Light” colored Green means it is within limits). The PeakPower System gives the operator timely data to make critical decisions instantly. There is a set of Red, Yellow, and Green indicators (like idiot lights) across the top (or bottom) of the screen where the overall status of all entities being monitors is viewable at a glance. The Red ones always bubble up toward the top of the screen toward the upper left corner and simultaneously sound the buzzer.
If multiple ALARMS occur, the second one bubbles to the right upper corner then the lower left corner then finally the lower right corner if four alarms occur before they can be corrected and reset to green status. After the screen is full, the idiot lights at the top are used to manage further red and yellow ALARMS and ALERTS. As the ALERTS come back within range they automatically turn Green, however an ALARM should be corrected back into normal range, then the operator clicks on the corresponding Idiot Light to RESET it to GREEN.
Embodiments of the present disclosure describe a PeakPower System, which includes the Peak Power Commander Sensor Module. The Peak Power System provides local and/or remote control of various aspects of device operation (e.g., power, security, etc.) for commercial, industrial and/or residential applications. In some embodiments, the Peak Power System may monitor temperature and reset a thermostat, and turn an air conditioning or refrigeration unit on or off remotely.
The present disclosure implements the Peak Power System's energy sensor through a PeakPower Commander device that may be coupled, e.g., installed, beside a conventional circuit breaker such as, but not limited to, an Eaton (Cutler-Hammer) ED and FD type of circuit breaker, see, e.g.,
The RLSO-CT based PeakPower COMMANDER may have one, two, three or more phases and they simply snap onto the wires. See
The PeakPower COMMANDER may communicate through the wires it is monitoring or it may communicate through the RF wireless module (Sub-Gigahertz and up) that simply plugs into the rear of the main board in this embodiment. See
The pressure sensor in this embodiment is a Pegasus MPL115A MEMS type sensor (very tiny).
Referring to
With reference back to
One element of the PeakPower COMMANDER is the communications methodology. The PeakPower COMMANDER utilizes the RLSO-CTs for communications, obviating the need for physically connecting to the wire(s); Refer also to
Using such a technique, the current and voltage on the Wire(s) is 90 degrees out of phase. Refer also to
The liquid and gas flowmeters in the preferred embodiment (
The RLSO-CTs can optionally communicate in Power Line Controller (PLC) mode. The RLSO-CTs are modulated with a high voltage signal to send data over the power lines using non-contact induction. There are very sensitive tuned receiver circuits and signal processing firmware to receive the signals from the power lines.
Disclosed embodiments solve problems of prior art relays. The Multi-Stable Relay consumes much less (near zero) energy. Only a minimal amount of energy (a pulse) changes the relay from one state to another.
The Power Management and Control relays in
The RLSO-CT power monitoring device monitors power in the power lines, without having to interrupt electricity to the power lines to install it. These devices also communicate over the power lines without requiring physical contact with the power lines. These devices also communicate via RF wireless as well.
Using the disclosed device avoids interrupting power when installing a device to monitor current or power. This device may be simply snapped onto existing power wires inside the power panel or near the piece of equipment being monitored without disconnecting any wires or turning off power. It may be used standalone or it may include a highly integrated microprocessor based transceiver in the sub-GHz range or even in the 802.11 ranges, 2.4 GHz and up (see
The embedded Power Management Software/Firmware performs statistical analysis on all signals including Least Mean Squares best fits, first and second derivatives, power spectral densities, auto correlations, cross correlations, probability density functions and utilize historical analyses and graphs and graphs of similar equipment to analyze trends and anticipate equipment abnormalities and predict potential equipment failures long before they occur. This Adaptive Software/Firmware uses the manufacturer's specs gleaned from the Internet as a baseline for setting limits of operation, but it also monitors the daily limits of operation of the actual piece of equipment to derive the actual character and signatures. It performs trends analysis and limits checking to determine if the circuit is within normal operational parameters. The software also cross correlates current data to manufacturers specs as well as data from the same model of equipment in other locations to detect early warning signs of potential failures or anomalies in the power used by this equipment versus the same or other similar equipment in order to continually optimize energy use under a multitude of ambient conditions.
Embodiments of the present disclosure may monitor commercial, industrial and/or residential applications.
Referring still to
It contains a super capacitor for backup to rapidly acquire and record the Power-On Signature when it comes back on, but when there is no power on, it does not transmit.
Each one may be programmed to communicate individually either over the powerline or via RF, or one may be programmed as a MASTER which collects data from all the others on its circuit or in its panel, then forwards the aggregate data to the Gateway which in turn forwards the data to the Main Server at the Data Center.
The present disclosure implements these Peak Power Roll-Lock Snap-On Devices inside a power panel and they may be coupled, e.g., installed, beside a conventional circuit breaker such as, but not limited to, an Eaton (Cutler-Hammer) ED and FD type of circuit breaker such as that of
One of the Control elements in a PeakPower Energy Management and Control System is referred to as a Multi-Stable Magnetic Relay Multi-stable relay method and apparatus for switching electrical power with zero holding current.
This method and apparatus for switching power, requires no activation or hold current once it is switched to any state. Any detent state is held by permanent magnet force and requires zero current to hold the relay in any detent state position.
One Embodiment of the Multi-Stable Relay is illustrated in
The enclosure case 1900 is plastic and could be polycarbonate, ABS, acrylic, etc. There are five connector pins 1910 in this embodiment which make electrical contact to the Printed Circuit Board (PCB) usually via a connector socket that is soldered down onto the PCB when it is manufactured.
The Voltage/Current Input/Output Pin-1 2010 is where one input current/voltage or one output current/voltage either enters or exits. This pin is also referred to as NOC-1 which means “Normally Open or Closed.” This is to distinguish it from prior art which is either NO (Normally Open) or NC (Normally Closed) as opposed to NOC-1 “Normally Open or Closed.” This pin is also bi-directional.
The Voltage/Current Input/Output Pin-2 2030 is where a second input current/voltage or one output current/voltage either enters or exits. This pin is also referred to as NOC-2. This pin is also bi-directional.
The Control Pins, Control Pulse-1 2020 and Control Pulse-2 2040 are where the activation switching signal is applied.
When 2040 is held at Ground potential and a 20 msec 12 Volt pulse is applied to 2020 the Relay goes to STATE 1 where MAIN 2000 is connected to 2010. And it stays in that state consuming no detention until an opposite polarity pulse is received, e.g., when 2020 is held at Ground potential and a 20 msec 12 Volt pulse is applied to 240 the Relay goes to STATE 2 where MAIN 2000 is connected to 2030. It stays in that state consuming no detention power until an opposite polarity pulse is received.
Referring back to
The momentary magnetic field generated in the two coils pushes the magnet(s) to the left. The Left Coil 1370L attracts the North pole of the magnet(s) and 1370R repels the South pole so that the magnet sticks to the left ferromagnetic screw, causing the osculating contact 2110 to make solid contact with 2100, the Voltage/Current Input/Output Pin-1 Static Contact and current flows with no further activation or detent current required.
In order to flip the Relay to Position 2 on the right simply reverse the process by momentarily holding pin 2040 to Ground and applying a 12 VDC pulse for 20 msec to pin 2020.
An alternative method for flipping the relay is to tie one of the Control pins to ground either 2020 or 2040 and pulse the other pin with +12 VDC then −12 VDC alternately to flip it back and forth.
This Multi-Stable Relay in the FIGS. of 19, 20, 21 is an element in providing Control in this EMC System. They are normally equipped with a sub-Gigahertz wireless unit so that the Gateway 220 can turn them on and off based on normal preset cycles or problem conditions or due to commands received over the Internet.
Referring back to
In addition to Linux, A local database and real-time database management software are on the Gateway module. Each Sensor or End Device Time Tags the raw data in a telemetry data-flow Tag-Data format and pushes it to the local Gateway over the local network (PLC or RF). The local RF Network may use many bands (e.g. 315 MHz, 433 MHz, 915 MHz, 2.4 GHz) Each local network may use 802.15 or a proprietary protocol stack. Each Gateway node can buffer a period (e.g., a minimum of one week, one day, one month, etc.) of the local buildings real-time data in case there is a communications outage. The Gateway node forwards time tagged real-time data to the main Server(s) in a telemetry data-flow Tag-Data format using a binary protocol such as SNMP wire protocol, ASN.1. Each node has an EUI-64 address to maximize compatibility, and so that each node may run identical software images to eliminate the need for per node configuration, thus simplifying provisioning, deployment, updates and support. Any or all nodes may receive software or firmware updates via remote wireless update.
All data is processed and analyzed on-the-fly as it reaches the main Server(s) in the cloud. Then both the real-time data and the results are stored in the Relational Database Management System (RDBMS) simultaneously. This eliminates the need to thrash the RDBMS.
Secure data handling is ensured using Secure Socket Layer (SSL) streams and certificates.
The Graphical User interface (GUI) and charts (see
The PeakPower System realizes major energy savings using its peak flattening using the RLSO-CTs, software, algorithms and control methodologies.
Certain hours of the day, the electric companies experience Peak Demand and they charge commercial customers based on that peak usage which can cost up to 10× the regular rates 2200. The PeakPower System daily gleans this information from the web so it can determine when these peak times are, then it real-time schedules all equipment for pre-cooling of all freezers, chillers, coolers, HVACs etc, before the peak times, to minimize impact. Also the PeakPower System actively schedules any defrost cycles on and around these peak usage times 2210 to again minimize or flatten the peak usage. A large percentage of the power consumed in equipment is the Startup cycle, and the PeakPower System minimizes the number of Start Cycles 2210. Shown in 2200 are typical daily Peak Power price curves in California. It is similar for other states and other countries. PeakPower software tracks based on location of each installation.
Many of the common equipment types used in supermarkets can fail fairly quickly after installation:
Chillers: min MBTF of 18,000 hours=2.1 years of use;
Compressors: min MBTF of 34,000 hours=3.9 years of use;
Condensers: min MBTF of 26,000 hours=3.0 years of use; and
Air handling Units: min MBTF of 24,000 hours=2.7 years of use.
It is important to note that the real problem is not the individual parts of the refrigeration system failing, but the system as a whole failing. The cumulative MTBF of multiple pieces of equipment (whether it is the same type or different types) is represented by:
For instance, if you have sixteen compressors, which many supermarkets do, then the overall MBTF for Compressors alone is 2,125 hours.
This means that you will likely have a compressor failure about four times per year. For sixteen condensers, the overall MBTF is 1,625 hours. That is almost six times per year.
With 16 compressors AND 16 condensers at the same location, the MTBF there is 920 hours. That is almost 10 failures per year, almost once a month. PeakPower Commander acts like a sentinel, silently watching for subtle signs and adjusting power levels, temperatures, or equipment features. It warns of trouble before a problem starts to become critical, such as days or potentially weeks before a problem goes critical. A silent page or text on your cell phone or computer to alert you to the fact that something is going amiss, prompting maintenance persons to proactively fix it, replace a filter, etc. before it becomes an emergency. This would also solve problems with dirt accumulation or wearing down on equipment, showing up as increased power consumption. Detecting dirty filters can save 5% per year, by way of one example.
2310 illustrates the Power-On signature of a compressor and
2320 illustrates another area of energy savings. When a compressor starts to fail, it exhibits a distinctive increase in power consumption. In this case, over a 42 day (6 weeks) time period, the energy consumed by this compressor rose by 50% from 40 KWhr to 60 KWhr. It is nonlinear, so the average is about 15% over six weeks.
Since the MTBFs are about 10 failures per year for most medium to large stores, this translates into an average of over 15% per month overall. This same failure mechanism is exhibited on the other types of equipment in a supermarket also, condensers, fans, etc.
Further illustrating a User Interface Screen for observing, managing and interacting with the PeakPower System. When an ALARM occurs, an “idiot light” button at the upper left corner of the screen goes red and pushes all other buttons down one level (shifts to the right and down). Also the chart for that particular device pops up to the upper left corner of the chart area and it is background turns from green to red. If an ALERT occurs it pops up to the level just below the lowest (oldest) red ALARM chart. If there are already 4 red ALARM Charts on the screen, it will appear on screen 2, 3, 4 . . . (see vertical scroll bar on the right) and the background color will change from green to yellow. The idiot light at the top of the screen will turn yellow, unless the top of the screen is full of Reds already, then it will appear on idiot light screen 2, 3, 4, . . . (see small vertical scroll bar on the right).
The scroll bar below each chart allows the operator to scroll back in time to see where a parameter may have gone out of limits. The operator could scroll back a day, a month, a year if they wish. After 30 seconds of inactivity by the operator, all charts revert back to real-time.
An operator scans in the architectural layout of the store (i.e. plumbing of the cooling conduits, etc.).
The Operator selects the Manufacturer and Model Number for each type of equipment being monitored as it is placed on the schematic drawing of the building, a pulldown menu will appear.
If one or more of these types of equipment is already in the Real Signature Master Database, i.e. the cross-store database, then the saved Preliminary Signature Model of that model of equipment is fetched from the database and automatically loaded to preset Alerts/Alarms/Limits.
If that model of equipment is not already in the library, a Webcrawler SubRoutine Software scours the web and to obtains a manufacturer's spec.
The Administration Tool builds a rough Preliminary Signature Model based on that spec. and general industry knowledge about that type of equipment's behavior curves.
The Adaptive software of the Administration Tool gathers three end to end sequences, then establishes a baseline “Real Signature Model 1” based on a high degree of correlation between runs, then correlates the resulting “Real Signature Model 1” to the Preliminary Signature Model to determine if it is within a margin of error (+/−10%) of the manufacturers actual specs. If it is off more than (+/−10%) another three end to end sequences are collected and another baseline, “Real Signature Model 2” is established and it is correlated with both the Preliminary Signature Model and the “Real Signature Model 1” to determine if there is a correlation within (+/−10%) of either. If there is correlation between either, the baseline is established for that piece of equipment, if not, it continues on to collect three more runs and determines “Real Signature Model 3,” etc., until a repeatable model is fully determined. If the established model is outside a +3% corridor of the Manufacturer's spec, an ALERT is Set. If it is outside a +5% corridor an ALARM is Set.
If there is similar equipment in the Real Signature Master Database, then the Cross Correlation SubRoutine will automatically run on one, two or three found, depending on if there is only one or only two in the Real Signature Master Database. If there is more than +/−10% variance between the new one and the one(s) in the Database an Alarm is generated, otherwise the entry is flagged as “GOOD” to the operator who is installing it.
These real-time calibration runs may require about ½ hour to one hour each, because a full cycle of cooling (Compressor On) and warming (Compressor Off) requires a minimum duration of time
Method 2700 begins with processing logic for receiving a scan of the architectural layout including components of a store (block 2705).
At block 2710, processing logic selects a Manufacturer and Model Number for each type of equipment to be monitored.
At block 2715, processing logic retrieves data from a database based on the Manufacturer and Model Numbers selected.
At block 2720, processing logic sets one or more default/pre-set Alerts, Alarms, and/or Limits.
At block 2725, processing logic builds Preliminary Signature Model based on retrieved data.
At block 2730, generates a baseline Real Signature Model based on three end to end sequences to establish correlation between runs.
At block 2735, processing logic re-generates one or more subsequent Real Signature Models until a repeatable model is determined.
At block 2740, processing logic performs cross-correlation for available in a Real Signature Master Database.
At block 2745, processing logic generates a good flag or an alarm based on determined variance.
At block 2750, processing logic instructs an operator to proceed with installation (or conduct corrective action as appropriate) based on a flag, alert, and/or alarm.
Practice of the above teachings may be represented in various embodiments including methods, systems, apparatuses, and so forth.
For example, in one embodiment, a method includes building a knowledgebase library of empirical signatures by high speed sampling and feature extraction of a multiplicity of devices that use electricity, sampling at a high rate during power transition times and potentially a lower rate during steady state times. A system, mechanism, or apparatus having means for doing the same may also be realized in accordance with practice of the teachings set forth above. Such a method, system, mechanism, or apparatus may alternatively be applied against other utilities, such as gas utility service and water utility service.
In one embodiment, a method includes extracting and building a knowledgebase of empirical signatures on devices that use electricity, and correlating the day to day signatures to the original signature first extracted for tracking any changes over time to detect signs that the device may be starting to wear or malfunction. A system, mechanism, or apparatus having means for doing the same may also be realized in accordance with practice of the teachings set forth above. A system, mechanism, or apparatus having means for doing the same may also be realized in accordance with practice of the teachings set forth above. In an alternative embodiment, such a method, system, mechanism, or apparatus is applied to a gas utility service and/or a water utility service.
In one embodiment, a method includes developing signatures on devices that use electricity, and comparing the signatures to a database of similar equipment to determine degree of variance from norm, then sending an alert or alarm message to a designated recipient that the device is operating outside the normal corridor. A system, mechanism, or apparatus having means for doing the same may also be realized in accordance with practice of the teachings set forth above. In an alternative embodiment, such a method, system, mechanism, or apparatus is applied to a gas utility service and/or a water utility service.
In one embodiment, a method includes gathering peak usage hours and/or rates from the local energy supplier daily, then utilizing such data to control equipment by pre-cooling, pre-heating and/or defrosting pieces of equipment in the building, so as to reduce the overall energy cost. A system, mechanism, or apparatus having means for doing the same may also be realized in accordance with practice of the teachings set forth above. In an alternative embodiment, such a method, system, mechanism, or apparatus is applied to a gas utility service and/or a water utility service.
In one embodiment, a method includes acquiring the planned maintenance schedules on a piece of equipment from the web or other sources and sending an alert or alarm message to a designated recipient that the device is approaching or missed a normal planned maintenance event. A system, mechanism, or apparatus having means for doing the same may also be realized in accordance with practice of the teachings set forth above. In an alternative embodiment, such a method, system, mechanism, or apparatus is applied to a gas utility service and/or a water utility service.
In one embodiment, a method includes detecting providing an early warning of equipment high energy usage and/or impending failure, by performing statistical analysis on the energy signature and using one or more of the following operations: a) comparing current signature to historical signature data; b) comparing current signature it to other equipment of the same model number or type; and c) comparing current signature to the equipment manufacturer's specs. A system, mechanism, or apparatus having means for doing the same may also be realized in accordance with practice of the teachings set forth above. In an alternative embodiment, such a method, system, mechanism, or apparatus is applied to a gas utility service and/or a water utility service.
In one embodiment, a method includes real-time monitoring and controlling the on/off and defrost cycles of refrigeration equipment and fetching the most recent peak hours from the power company to dramatically reduce peak power usage. A system, mechanism, or apparatus having means for doing the same may also be realized in accordance with practice of the teachings set forth above. In an alternative embodiment, such a method, system, mechanism, or apparatus is applied to a gas utility service and/or a water utility service.
In one embodiment, a method includes real-time monitoring and controlling the on and off cycles of power consuming equipment throughout the day, and fetching the most recent peak hours from the power company website to dramatically reduce peak power usage. A system, mechanism, or apparatus having means for doing the same may also be realized in accordance with practice of the teachings set forth above. In an alternative embodiment, such a method, system, mechanism, or apparatus is applied to a gas utility service and/or a water utility service.
In one embodiment, a method includes real-time monitoring and controlling the on/off cycle durations of refrigeration equipment to dramatically peak power usage, by monitoring and analyzing the power used in each cycle and adjusting the cycle time based on temperature, and/or pressure, and/or humidity to continually achieve the optimum cycle time without exceeding the maximum temperature allowed. A system, mechanism, or apparatus having means for doing the same may also be realized in accordance with practice of the teachings set forth above. In an alternative embodiment, such a method, system, mechanism, or apparatus is applied to a gas utility service and/or a water utility service.
In one embodiment, a method includes real-time monitoring and controlling the on and off cycles of power consuming equipment throughout the day, and fetching the manufacturer's specifications for each piece of equipment and performing real-time analysis on the piece of equipment to derive operating limits. A system, mechanism, or apparatus having means for doing the same may also be realized in accordance with practice of the teachings set forth above. In an alternative embodiment, such a method, system, mechanism, or apparatus is applied to a gas utility service and/or a water utility service.
In one embodiment, a method includes real-time monitoring and controlling the on and off cycles of power consuming equipment throughout the day, and comparing the power consumption of the piece of equipment to other equipment of the same model or similar pieces of equipment to determine variances and corridors for sending alert/alarm messages to a designated recipient(s) if a piece of equipment goes outside the derived corridors. A system, mechanism, or apparatus having means for doing the same may also be realized in accordance with practice of the teachings set forth above. In an alternative embodiment, such a method, system, mechanism, or apparatus is applied to a gas utility service and/or a water utility service.
In one embodiment, a method includes installing a sensor module inside standard Electrical Panels next to the circuit breakers or near a device being monitored/controlled which is capable of transmitting and receiving data and/or control signals over the wires that it is monitoring via contactless inductive or capacitive means, or via wireless means, and optionally extracting enough power to power the sensor module using power from the power lines it's monitoring via said inductive or capacitive means. A system, mechanism, or apparatus having means for doing the same may also be realized in accordance with practice of the teachings set forth above. In an alternative embodiment, such a method, system, mechanism, or apparatus is applied to a gas utility service and/or a water utility service.
In one embodiment, a non-transitory computer readable storage medium has instructions stored upon it. For example, such instructions may be software stored on a medium for later execution. In such an embodiment, when the instructions are executed by a processor in an energy management system, the instructions cause the energy management system to perform operations including: building a library of baseline signatures using manufacturer data as a baseline for extracting signatures on a plurality of manufacturer devices that use electricity; collecting data from at least a portion of the plurality of manufacturer devices; and extracting one or more signatures for a corresponding one or more of the plurality of manufacturer devices from the collected data.
In one embodiment, an energy management system includes: non-transitory computer readable storage means for storing a library of baseline signatures; a memory and a processor to execute instructions for building the library of baseline signatures using manufacturer data as a baseline for extracting signatures on a plurality of manufacturer devices that use electricity; a data collection module to collect data from at least a portion of the plurality of manufacturer devices; and a signature extraction module to extract one or more signatures for a corresponding one or more of the plurality of manufacturer devices from the collected data.
In one embodiment, an energy management system includes: A wireless temperature, pressure, humidity (TPHSR) sensor/repeater apparatus, depicted in
The MSP430 Processor 2801 and the built-in software control the entire TPHSR module.
The radio module 2802 is a built-In Anaren AIR or equivalent module. This is the wireless radio communications device for local area networking. This device may function as a wireless repeater as well. It may repeat data from one device to another device or to a hub, when it receives configuration data to execute that function.
There is a linear or two dimensional array of Photovoltaic receivers 2803 that convert ambient light into electricity to power the TPHR device.
There is an optional Pressure Sensor 2804, which detects ambient pressure, which may be used for controlling anti-sweat heaters, or determining proper equipment signatures at various pressures across various sites.
There is an optional Humidity Sensor 2805, which detects ambient humidity, which may be used for controlling anti-sweat heaters, or determining proper equipment signatures at various pressures across various sites.
There is an optional Battery 2806, which could be replaced by a capacitor in some applications; for example, battery 2806, as shown, is a ½ AA, although a much smaller one could be used.
In one embodiment, an energy management system includes: A wireless temperature, pressure, humidity (TPHSR) sensor/repeater apparatus, depicted in
The Fresnel lens depicted in 2901 is fabricated into the cover lid of the TPHSR device. The linear Fresnel lens focuses a wide angle of ambient light down to a line that's roughly the width of the array of photovoltaic devices, so that the output current is maximized.
The width of the Fresnel lens 2902 typically the width of the entire TPHSR device which is many times the width of the photovoltaic array, to gather as much light as possible. The focal length of the linear Fresnel lens is fairly short so the enclosure can be small. The Fresnel lens is typically thin, in the range of 0.050 inch.
The length of the focal beam 2903 is typically the length of the photovoltaic array. The width of the focal beam is adjusted in the design such that it's the same width as the photovoltaic array in order to maximize the current output.
While the subject matter disclosed herein has been described by way of example and in terms of the specific embodiments, it is to be understood that the claimed embodiments are not limited to the explicitly enumerated embodiments disclosed. To the contrary, the disclosure is intended to cover various modifications and similar arrangements as would be apparent to those skilled in the art. Therefore, the scope of the appended claims should be accorded the broadest interpretation so as to encompass all such modifications and similar arrangements. It is to be understood that the above description is intended to be illustrative, and not restrictive. Many other embodiments will be apparent to those of skill in the art upon reading and understanding the above description. The scope of the disclosed subject matter is therefore to be determined in reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.
This continuation-in-part application is related to, and claims priority to, U.S. Patent Application Serial No. 13/112,388, entitled “ROLL-LOCK SNAP-ON CURRENT TRANSFORMER” filed on May 20, 2011, having Attorney Docket No. 9159P001 which is a U.S. non-provisional application that claims priority to U.S. Provisional Patent Application Ser. No. 61/347,184 entitled “ROLL-LOCK SNAP-ON CURRENT TRANSFORMER,” filed on May 21, 2010; each of which are hereby incorporated by reference herein as though set forth in full.
Number | Date | Country | |
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61347184 | May 2010 | US |
Number | Date | Country | |
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Parent | 13112388 | May 2011 | US |
Child | 13214619 | US |