Energy management of household appliances

Information

  • Patent Grant
  • 8548635
  • Patent Number
    8,548,635
  • Date Filed
    Tuesday, September 15, 2009
    15 years ago
  • Date Issued
    Tuesday, October 1, 2013
    11 years ago
Abstract
A system and method of managing energy use in a home, and more particularly to energy management of household consumer appliances, are provided. Existing appliances can be modified with add-on features or modules, and likewise new energy saving features and functions can be incorporated into new appliances. Communication among a home energy manager, an appliance, and a utility meter measures energy usage and/or a local generator controls operation of various appliances such as a refrigerator, washer, dryer, oven/range, microwave oven, dishwasher, HVAC system hot water heater, and the like.
Description
BACKGROUND

This disclosure relates to energy management, and more particularly to energy management of household consumer appliances. The disclosure finds particular application to changing existing appliances via add-on features or modules, and incorporating new energy saving features and functions into new appliances.


Currently utilities charge a flat rate, but with increasing cost of fuel prices and high energy usage at certain parts of the day, utilities have to buy more energy to supply customers during peak demand. Consequently, utilities are charging higher rates during peak demand. If peak demand can be lowered, then a potential huge cost savings can be achieved and the peak load that the utility has to accommodate is lessened.


One proposed third party solution is to provide a system where a controller “switches” the actual energy supply to the appliance or control unit on and off. However, there is no active control beyond the mere on/off switching. It is believed that others in the industry cease some operations in a refrigerator during on-peak time.


For example, in a refrigerator most energy is consumed to keep average freezer compartment temperature at a constant level. Recommended temperature level is based on bacteria multiplication. Normally recommended freezer temperature for long (1-2 month) food storage is 0 degrees F. Research shows that bacteria rise is a linear function of the compartment temperature, i.e., the lower the temperature the lower the bacteria multiplication. Refrigerator designers now use this knowledge to prechill a freezer compartment (and in less degree a refrigerator compartment also) before defrost, thus keeping an average temperature during time interval that includes before, during, and after defrost at approximately the same level (for example, 0 degrees F.).


There are also currently different methods used to determine when variable electricity-pricing schemes go into effect. There are phone lines, schedules, and wireless signals sent by the electrical company. One difficulty is that no peak shaving method for an appliance such as a refrigerator will provide a maximal benefit. Further, different electrical companies use different methods of communicating periods of high electrical demand to their consumers. Other electrical companies simply have rate schedules for different times of day.


Electrical utilities moving to an Advanced Metering Infrastructure (AMI) system will need to communicate to appliances, HVAC, water heaters, etc. in a home or office building. All electrical utility companies (more than 3,000 in the US) will not be using the same communication method to signal in the AMI system. Similarly, known systems do not communicate directly with the appliance using a variety of communication methods and protocols, nor is a modular and standard method created for communication devices to interface and to communicate operational modes to the main controller of the appliance. Although conventional WiFi/ZigBee/PLC communication solutions are becoming commonplace, this disclosure introduces numerous additional lower cost, reliable solutions to trigger “load shedding” responses in appliances or other users of power. This system may also utilize the commonplace solutions as parts of the communication protocols.


BRIEF DESCRIPTION OF THE DISCLOSURE

The present disclosure reduces power consumption during on-peak hours by reducing the energy demand on the power generation facility, and also enabling the user/consumer to pay less to operate the appliance on an annual basis.


This disclosure is a low-cost alternative to using expensive or complicated methods of determining when peak electrical rates apply. For example, when the refrigerator is in peak shaving mode (or it could be programmed to do this constantly), an ambient light sensor determines when it is morning, and then stays in energy-saving mode for a predetermined number of hours. Preferably, the system will need a counter to know that the room has been dark for a predetermined number of hours. When the lights come on for a certain length of time, then the system knows, for example, that it is morning.


This disclosure provides a peak-shaving appliance such as a refrigerator, including a method to determine when to go into peak-shaving mode without using additional components, or components that have another purpose, and provides a high percentage of the maximum benefit for negligible cost. The two components needed for this are an ambient light sensor and a timer. The kitchen will be dark for an extended period of time while everyone is sleeping. The light sensor and the timer will be used to determine that it is nighttime and morning can be determined by the light sensor. When the refrigerator determines it is morning, the timer will be used to initiate peak shaving mode after some delay time. For example, peak shaving mode could start three hours after it is determined morning starts. Similarly, the ambient light sensor can also be used for dimming the refrigerator lights. This disclosure advantageously uses ambient light to determine when to start peak shaving.


An appliance interface can be provided for all appliances leaving the module to communicate with the AMI system. The system provides for appliance sales with a Demand Side Management capable appliance. The Demand Side Management Module (DSMM) is provided to control the energy consumption and control functions of an appliance using a communication method (including but not limited to PLC, FM, AM SSB, WiFi, ZigBee, Radio Broadcast Data System, 802.11, 802.15.4, etc.). The modular approach will enable an appliance to match electrical utility communication requirements. Each electrical utility region may have different communication methods, protocol methods, etc. This modular approach allows an appliance to be adapted to a particular geographical area of a consumer or a particular electrical provider. The module can be added as a follow on feature and applied after the appliance is installed. Typical installations could include an integral mounted module (inside the appliance or unit) or an externally mounted module (at the wall electrical receptacle or anywhere outside the appliance or unit). The module in this disclosure provides for 2 way communications if needed, and will provide for several states of operation—for example, 1) normal operation, 2) operation in low energy mode (but not off), and 3) operation in lowest energy mode.


This module could be powered from the appliance or via a separate power supply, or with rechargeable batteries. The rechargeable batteries could be set to charge under off-peak conditions. With the module powered from the appliance, the appliance could turn it off until the appliance needed to make a decision about power usage, eliminating the standby power draw of the module. If powered separately, the appliance could go to a low energy state or completely off, while the module continued to monitor rates.


Use of RFID tags in one proposed system should offer significant savings since the RFID tags have become very low cost due to the proliferation of these devices in retail and will effectively allow the enabled appliance to effectively communicate with the utility meter (e.g., receive signals from the utility meter). This system makes it very easy for a customer to manage energy usage during peak demand periods and lowers the inconvenience level to the customer by not shutting off appliances in the home by the utility. When local storage and local generation are integrated into the system, then cost savings are seen by the customer. This system also solves the issue of rolling brownouts/blackouts caused by excessive power demand by lowering the overall demand. Also, the system allows the customer to pre-program choices into the system that will ultimately lower utility demand as well as save the customer money in the customer's utility billing. For instance, the customer may choose to disable the defrost cycle of a refrigerator during peak rate timeframes. This disclosure provides for the controller to “communicate” with the internal appliance control board and command the appliance to execute specific actions with no curtailment in the energy supply. This disclosure further provides a method of communicating data between a master device and one or more slave devices using RFID technology. This can be a number of states or signals, either using one or more passive RFID tags that resonate at different frequencies resonated by the master, or one or more active RFID tags that can store data that can be manipulated by the master device and read by the slave device(s). The states in either the passive or active RFID tags can then be read by the microcontroller on the slave device(s) and appropriate functions/actions can be taken based upon these signals.


Another exemplary embodiment uses continuous coded tones riding on carrier frequencies to transmit intelligence, for example, when one is merely passing rate information such as rate 1, 2, 3, or 4, using the tones to transmit the signals. One could further enhance the details of the messaging by assigning a binary number to a given tone, thus allowing one to “spell out” a message using binary coding with multiple tones. The appliance microcomputer would be programmed to respond to a given number that would arrive in binary format.


One advantage of this approach is that customers have complete control of their power. There have been proposals by utilities to shut off customers if they exceed demand limits or increase the number of rolling brownouts. This method also gives a customer finer granulity in their home in terms of control. A customer does not have to load shed a room just to manage a single device.


This disclosure also advantageously provides modes of load shedding in the appliance, lighting, or HVAC other than “on/off” to make the situation more acceptable from the perspective of the customer.


An advantage of the present disclosure is the ability to produce appliances with a common interface and let the module deal with the Demand Side Management.


Another advantage is the ability to control functions and features within the appliance and/or unit at various energy levels, i.e., as opposed to just an on/off function.


Another advantage is that the consumer can choose the module or choose not to have the module. If the module is chosen, it can be matched to the particular electrical utility service provider communication method of the consumer.


Another benefit is the increased flexibility with an associated electrical service provider, and the provision of several modes of operation (not simply an on/off mode). The module can be placed or positioned inside or outside the appliance and/or unit to provide demand side management.


Still other benefits relate to modularity, the ability to handle multiple communication methods and protocols without adversely impacting the cost of the appliance, opening up appliances to a variety of protocols, enabling demand side management or energy management, and/or providing for a standard interface to the appliance (for example, offering prechill and/or temperature set change during on-peak hours).


Low cost, reliable RF transmissions within the home, rather than using industrial solutions such as PLC or Zigbee solutions which are significantly more costly than the aforementioned system.


Still other features and benefits of the present disclosure will become apparent from reading and understanding the following detailed description.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a schematic of the system for energy management of household appliances.



FIG. 2 is a schematic of the flow diagram of the controller.



FIG. 3 is a schematic of the flow diagram of a household appliance.



FIG. 4 is a schematic of a first on of controller and household appliance interaction.



FIG. 5 is a schematic of a second option of controller and household appliance interaction.



FIG. 6 is a schematic of the monitoring of the demand and loads.



FIGS. 7 and 8 are schematics showing possible inclusion of local storage and local generation into the system.



FIGS. 9A and 9B are a table of appliance operations in response to different demand/energy levels.



FIG. 10 is a representation of input selection.



FIG. 11 shows a utility company and time of use schedule



FIGS. 12 and 13 illustrate time and day of use schedules.



FIGS. 14-19 show user interfaces and display information for a representative appliance.



FIGS. 20 and 21 are a list of actions and modes that can be adopted by a representative appliance.





DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

In one embodiment, a more advanced system is provided to handle energy management between the utility and the homeowner's appliances. The system can include one or more of the following: a controller, utility meter, communication network, intelligent appliances, local storage, local generator and/or demand server. Less advanced systems may actually allow the appliance to “communicate directly with the utility meter or mesh network through the DSSM (Demand Side Management Module) (FIG. 1). The demand server is a computer system that notifies the controller when the utility is in peak demand and what is the utility's current demand limit. A utility meter can also provide the controller the occurrence of peak demand and demand limit. The demand limit can also be set by the home owner. Additionally, the homeowner can choose to force various modes in the appliance control based on the rate the utility is charging at different times of the day. The controller will look at the energy consumption currently used by the home via the utility meter and see if the home is exceeding the demand limit read from the server. If the demand limit is exceeded, the controller will notify the intelligent appliances, lighting and thermostat/HVAC (FIG. 2).


Each intelligent appliance has a communication interface that links itself to the controller (FIG. 3). This interface can be power-line carrier, wireless, and/or wired. The controller will interact with the appliance and lighting controls as well as thermostat (for HVAC) to execute the users preferences/settings.


Enabled appliances receive signals from the utility meter and help lower the peak load on the utility and lower the amount of energy that the consumer uses during high energy cost periods of the day. There are several ways to accomplish this, through wireless communication (ZigBee, WiFi, etc) or through PLC (power line carrier) communication. Alternatively, using passive RFID tags that resonate at different frequencies resonated by the master, or one or more active RFID tags that can store data that can be manipulated by the master device and read by the slave devices(s) is an effective and potentially lower cost communication solution since there is no protocol. Rather, a pulse of energy at a particular frequency will allow a low cost method with an open protocol for transmitting/communicating between a master device and one or more slave devices, and appropriate functions/actions can be taken based upon these signals.


The interaction between controller and appliances can occur in two ways. For example, in one scenario during a peak demand period, the controller will receive a demand limit from the utility, demand server or user. The controller will then allocate the home's demand based on two factors: priority of the appliance and energy need level (FIG. 4). The priority dictates which appliances have higher priority to be in full or partial energy mode than other appliances. Energy need dictates how much energy is required for a certain time period in order for that appliance to function properly. If the appliance's energy need is too low to function properly, the appliance moves to a normal mode or a higher energy need level. The energy saving mode is typically a lower energy usage mode for the appliance such as shutdowns of compressors and motors, delayed cycles, higher operating temperatures in summer or lower operating temperatures in winter until the peak demand period is over. Once the demand limit is reached, the appliances will stay in their energy mode until peak demand is over, or a user overrides, or appliance finishes need cycle or priority changes. The controller constantly receives status updates from the appliances in order to determine which state they are in and in order to determine if priorities need to change to accomplish the system goals.


In a second scenario, for example, a set point is provided. During a peak demand period, the controller will tell each appliance to go into peak demand mode (FIG. 5). The appliance will then go into a lower energy mode. The customer can deactivate the energy savings mode by selecting a feature on the appliance front end controls (i.e. user interface board) before or during the appliance use or at the controller. The controller can also communicate to a local storage or power generation unit. This local unit is connected to the incoming power supply from the utility. The controller notifies the storage unit to charge when it is not in peak demand, if a storage unit is included and available. If the storage unit has enough energy to supply the appliances during peak demand, then the controller will switch the home's energy consumption from the utility to the storage unit. The unit can also be local generator/storage such as solar, hydrogen fuel cell, etc.


The central controller handles energy management between the utility and home appliances, lighting, thermostat/HVAC, etc. with customer choices incorporated in the decision making process. The controller may include notification of an energy saving mode based on demand limit read from one or more of a utility meter, utility, demand server or user. An energy savings mode of an appliance can thereby be controlled or regulated based on priority and energy need level sent from the controller and/or the customer (FIG. 6). Likewise, consideration to use of local energy storage and use of a local generator to offset peak demand limit can be incorporated into the energy management considerations, or provide the ability to override mode of energy savings through the controller or at the appliance, lighting, or thermostat/HVAC (FIGS. 7 and 8).


The present disclosure has the ability for the home to shed loads in pending brown-out or black-out situations, yet have intelligence to prevent an improper action such as shutting down the refrigerator for extended timeframes that might compromise food storage safety.


How much energy the appliance consumes in peak demand is based on priority of the device and the energy need level. If the appliance's priority is high, then the appliance will most likely not go into a saving mode. The energy need level is based on how little energy the appliance can consume during peak demand and still provide the function setting it is in (i.e. in a refrigerator, ensuring that the temperature is cool enough to prevent spoiling). It will also be appreciated that an appliance may have multiple energy need levels.


The controller will be the main product with the communication and settings control incorporated within future appliances. Specific meters will be selected so that the controller can read the demand usage. It is intended that the demand server will possibly be purchased or leased to the utility.


A method is provided for constructing an appliance designed to perform any key function, the appliance comprises of several mechanical and electrical elements controlled by a main controller. This main controller has a port for receiving information regarding the operational state of the appliance. The port also has a user interface or switch which could be used to override the information received by the controller through the port. Two-way or one-way communication devices may be connected to the port. These communication devices will receive signals from a remote controller, process those signals and as a result communicate an operational state to the main controller of the appliance. This operational state is communicated to the main controller by one or more remote controllers in a specific format determined by the appliance. These signals from the remote controller(s) could be based on a variety of communication methods and associated protocols. On receiving the operational state signal, the appliance main controller causes the appliance to run a predetermined operational mode. These operational modes are designed into the appliance(s) and result in different resource consumption levels or patterns, even delaying use. Resources could include energy, water, air, heat, sunlight, time, etc. In future appliance models, the consumer might be given the authority to modify the appliance responses to a given rate signal. The consumer would be presented a “check box” of potential response modes and allowed to choose within set parameters. For instance, the consumer might be allowed to choose the amount of temperature adjustment a refrigerator will make in response to a high utility rate.


A method of communicating data between a master device and one or more slave devices may advantageously use continuous tone-coded transmission system. This can be a number of states or signals, either using one or more continuous tones that signify different rate states coming from the home area network (from meter) or the utility. Additionally, one could send a combination of tones to transmit binary messages using a few tones. The slave devices will incorporate a receiver that receives the carrier frequency and then decodes the continuous tone which corresponds to the particular state of the utility rate. Once the “receiver board” detects the tone, then the downstream circuitry will trigger the appropriate response in the appliance. The carrier frequency in this scheme can be numerous spectrums, one being the FM broadcast band or a specific FM band allocated by the FCC for low level power output. The advantage of broadcast band FM is the low cost of such devices and the potential to penetrate walls, etc. within a home with very low levels of power due to the long wavelength of the 89-106 Mhz carrier. This process is used today in 2-way radio communications to reduce the annoyance of listening to multiple users on shared 2-way radio frequencies. The process in these radios is referred to as CTCSS (continuous tone-coded squelch system) and would find application in this end use.


Generally, it is not known to have modular interfaces that can receive signals from a control source. Also, no prior arrangements have functioned by addressing the control board of the appliance with a signal that directs the appliance to respond.


Thus, by way of example only, the structure and/or operation of a refrigerator (FIGS. 9A-B, although other appliances are also represented) may be modified or altered by reducing the temperature, especially in the freezer compartment pre on-peak time and further temporarily provide a compartment temperature increase to shave on-peak load. Specifically, defrost operation could be delayed until off-peak time. Alternatively or conjunctively, the freezer and refrigerator temperature setpoints may be set to maintain less compressor on time during on-peak demand times. Similarly, the refrigerator/freezer could be programmed so that lights will not be permitted to come on or the lights must be dimmed lights during on-peak demand times. During on-peak demand times, the fan operating speeds can be reduced, and/or compressor operating speed reduced in order to reduce energy consumption. Still another option is to reduce the delay time for the door alarm to sound during on-peak time. Other power load reducing measures in a refrigerator may include (reducing before on-peak hours) the temperature of the freezer and refrigerator compartments in a refrigerator (prechill) and slightly increase temperature setting during on-peak rates. For example, just before peak rate time, the temperature setting could be decreased by 1-2 degrees (during off-peak rates). Some communication line with the electrical company could be established. Thus, the electrical company may be able to send a signal in advance to prechill the refrigerator (or in the case of an air conditioner, decrease the room temperature during off-peak rates as a pre-chill maneuver) and, in turn, increase the temperature setting during on-peak rates.


Still other energy consuming practices of the exemplary refrigerator that may be altered include turning the ice-maker off during on-peak demand times, or disabling the crushed ice mode during on-peak demand times. Alternatively, the consumer may be given the ability to select via a user interface which items are incorporated into the on-peak demand via an enable/disable menu, or to provide input selection such as entry of a zip code (FIG. 10) in order to select the utility company and time of use schedule (FIG. 11), or using a time versus day of the week schedule input method (FIGS. 12-13).


The user interface may also incorporate suggested energy saving tips or show energy usage, or provide an indicator during on-peak mode, or provide a counter to illustrate the energy impact of door opening, or showing an energy calculator to the consumer to serve as a reminder of the impact of certain selections/actions on energy use or energy conservation (FIGS. 14-19).


One path that is being pursued from the appliance perspective is to allow the onboard CPU (microprocessor) of the appliance to determine how to respond to an incoming signal asking for a load shedding response. For example, the CPU will turn on, turn off, throttle, delay, adjust, or modify specific functions and features in the appliance to provide a turndown in power consumption (FIG. 20). FIG. 21 defines specifically exemplary modes of what are possible. The main feature here is the enabling of the main board microprocessor or CPU to execute actions in the appliance to deliver load shedding (lowering power consumption at that instant). The actions available in each appliance are only limited to the devices that the CPU has control over, which are nearly all of the electrical consuming devices in an appliance. This may work better where the appliance has an electronic control versus an electromechanical control.


Of course, the above description focuses on the refrigerator but these concepts are equally applicable to other home appliances such as dishwashers, water heaters, washing machines, clothes dryers, televisions (activate a recording feature rather than turning on the television), etc., and the list is simply representative and not intended to be all encompassing.


Likewise, although these concepts have been described with respect to appliances, they may find application in areas other than appliances and other than electricity usage. For example, a controller that acts as an intermediary between the utilities meter and the appliance interprets the utility signal, processes it and then submits this signal to the appliance for the prescribed reaction. In a similar fashion, the controller may find application to other household utilities, for example, natural gas and water within the home. One can equip the water and gas meters to measure flow rates and then drive responses to a gas water heater or gas furnace precisely like the electrical case. This would assume that one might experience variable gas and water rates in the future. Secondly, the flow meters being connected to the controller could provide a consumer with a warning as to broken or leaking water lines by comparing the flow rate when a given appliance or appliances are on to the normal consumption. In cases where safety is a concern, the system could stop the flow of gas or water based on the data analysis.


Another feature might be the incorporation of “remote subscription” for the utility benefit. In some cases, the utility will be providing customers discounts/rebates for subscribing to DSM in their appliances, hot water heaters, etc. The “remote subscription” feature would allow the utility to send a signal that would “lockout” the consumer from disabling the feature since they were on the “rebate” program.


Another feature that the controller lends itself to is the inclusion of “Remote diagnostics”. This feature would allow the appliance to send a signal or message to the controller indicating that something in the appliance was not up to specifications. The controller could then relay this signal to the utility or to the appliance manufacturer via the various communication avenues included into the controller (i.e., WIFI, WIMAX, Broadband, cell phone, or any other formats that the controller could “speak”).


In the case of a remote subscription, the utilities today rely on the honesty of their subscribers to leave the DSM system functional. Some people may receive the discounts/rebate and then disable the feature that drives the load shedding. With this system, the utility can ensure that the feature will be enabled and provide the proper load shedding.


The invention has been described with reference to the preferred embodiments. Obviously, modifications and alterations will occur to others upon reading and understanding the preceding detailed description. It is intended that the invention be construed as including all such modifications and alterations.

Claims
  • 1. A household energy management system for managing power consumption of one or more appliances in a household that couples with a source utility, said household energy management system comprising: an appliance with one or more power consuming features;a controller coupled with the appliance, the controller for managing power consumption by the appliance with the one or more power consuming features;a utility meter communicating with the controller, the utility meter for measuring an amount of energy usage for a household from the source utility, the utility meter communicating one or more parameters of the source utility to the controller; anda local energy storage device for storing energy coupled with the controller, the source utility, and the household to provide power to the appliancewherein the controller is configured to manage power consumption of the household in a non-peak demand mode and a peak demand mode as indicated by a demand limit read from the utility meter;wherein power from the source utility that is received in the peak demand mode is more expensive relative to power from the source utility during the non-peak demand mode;wherein the controller directs operation oldie local energy storage device to cause the local energy storage device to charge via, power supplied by the source utility in the non-peak demand mode and to discharge to provide power to the household to operate the one or more power consuming features of the appliance in the peak demand mode; andwherein a user interface gives a user the ability to select which of the one or more power consuming features are scheduled, delayed or adjusted by the controller, that receives a zip code entry which enables the controller to select a source utility corresponding to the household and a time of use schedule of the source utility corresponding to the household, that receives a rate signal directly from the source utility advising of the current rate and that displays or indicates energy saving tips, energy usage, activation of non-peak demand or peak demand modes, a door opening counter, and an energy calculator.
  • 2. The household energy management system of claim 1 wherein the controller allocates energy to the appliance based on one or more of the demand limit, a prioritization of each of the one or more appliances, and an energy need level the appliance.
  • 3. The household energy management system of claim 1 wherein the appliance includes one or more of household lighting, a refrigerator, a washer, a dryer, an oven/range, a microwave oven, a dishwasher, an HVAC system, and a hot water heater.
  • 4. The system of claim 1 wherein the controller is configured to manage power consumption of the household in the peak demand mode by instructing the appliance to enter a power shaving mode after a delay time following a detection of a light signal by a light sensor.
  • 5. A household energy management system for managing power consumption of one or more appliances in a household that couples with a source utility, said household energy management system comprising: an appliance with one or more power consuming features;a controller coupled with the appliance, the controller for managing power consumption by the appliance with the one or more power consuming features;a utility meter communicating with the controller, the utility meter for measuring an amount of energy usage for a household from the source utility, the utility meter communicating one or more parameters of the source utility to the controller; anda local energy storage device for storing energy coupled with the controller, the source utility, and the household to provide power to the appliance;wherein the controller is configured to manage power consumption of the household in a non-peak demand mode and a peak demand mode as indicated by a demand limit read from the utility meter;wherein power from the source utility that is received in the peak demand mode is more expensive relative to power from the source utility during the non-peak demand mode;wherein the controller directs operation of the local energy storage device to cause the local energy storage device to charge via power supplied by the source utility in the non-peak demand mode and to discharge to provide power to the household to operate the one or more power consuming features of the appliance in the peak demand mode; andwherein a user interface gives a user the ability to select which of the one or more power consuming features are scheduled, delayed or adjusted by the controller, that receives a zip code entry which enables the controller to select a source utility corresponding to the household and a time of use schedule of the source utility corresponding to the household, that receives a rate signal directly from the source utility advising of the current rate and that displays or indicates at least one of energy saving tips, enemy usage, activation of non-peak demand or peak demand modes, a door opening counter, and an energy calculator.
Parent Case Info

The present application claims priority from U.S. Provisional Patent Application Ser. No. 61/097,082 filed 15 Sep. 2008, which provisional patent application is expressly incorporated herein by reference, in its entirety. In addition, cross-reference is made to commonly owned, copending application Ser. No. 12/559,636, filed 15 Sep. 2009; Ser. No. 12/559,528; Ser. No. 12/559,539, filed 15 Sep. 2009; Ser. No. 12/559,654, filed 15 Sep. 2009; Ser. No. 12/559,581, filed 15 Sep. 2009; Ser. No. 12/559,550, filed 15 Sep. 2009; Ser. No. 12/559,597, filed 15 Sep. 2009; Ser. No. 12/559,705, filed 15 Sep. 2009; Ser. No. 12/559,561, filed 15 Sep. 2009; Ser. No. 12/559,577, filed 15 Sep. 2009; Ser. No. 12/559,751, filed 15 Sep. 2009; and Ser. No. 12/559,684, filed 15 Sep. 2009.

US Referenced Citations (215)
Number Name Date Kind
3683343 Feldman et al. Aug 1972 A
3720073 McCarty Mar 1973 A
4048812 Thomason Sep 1977 A
4167786 Miller et al. Sep 1979 A
4190756 Foerstner Feb 1980 A
4247786 Hedges Jan 1981 A
4362970 Grady Dec 1982 A
4454509 Buennagel et al. Jun 1984 A
4637219 Grose Jan 1987 A
4659943 Virant Apr 1987 A
4718403 McCall Jan 1988 A
4731547 Alenduff et al. Mar 1988 A
4903502 Hanson et al. Feb 1990 A
4998024 Kirk et al. Mar 1991 A
5040724 Brinkruff et al. Aug 1991 A
5137041 Hall et al. Aug 1992 A
5183998 Hoffman et al. Feb 1993 A
5220807 Bourne et al. Jun 1993 A
5230467 Kubsch et al. Jul 1993 A
5289362 Liebl et al. Feb 1994 A
5408578 Bolivar Apr 1995 A
5430430 Gilbert Jul 1995 A
5451843 Kahn et al. Sep 1995 A
5462225 Massara et al. Oct 1995 A
5479157 Suman et al. Dec 1995 A
5479558 White et al. Dec 1995 A
5481140 Maruyama et al. Jan 1996 A
5495551 Robinson et al. Feb 1996 A
5504306 Russell et al. Apr 1996 A
5505377 Weiss Apr 1996 A
5515692 Sterber et al. May 1996 A
5574979 West Nov 1996 A
5581132 Chadwick Dec 1996 A
5635895 Murr Jun 1997 A
5706191 Bassett et al. Jan 1998 A
5761083 Brown et al. Jun 1998 A
5816491 Berkeley et al. Oct 1998 A
5866880 Seitz et al. Feb 1999 A
5874902 Heinrich et al. Feb 1999 A
5880536 Mardirossian Mar 1999 A
5883802 Harris Mar 1999 A
5886647 Badger et al. Mar 1999 A
5926776 Glorioso et al. Jul 1999 A
5937942 Bias et al. Aug 1999 A
5956462 Langford Sep 1999 A
6018150 Maher Jan 2000 A
6080971 Seitz Jun 2000 A
6118099 Lake Sep 2000 A
6179213 Gibino et al. Jan 2001 B1
6185483 Drees Feb 2001 B1
6229433 Rye et al. May 2001 B1
6246831 Seitz et al. Jun 2001 B1
6380866 Sizer et al. Apr 2002 B1
6400103 Adamson Jun 2002 B1
6480753 Calder et al. Nov 2002 B1
6489597 Hornung Dec 2002 B1
6553595 Bruntz et al. Apr 2003 B1
6631622 Ghent et al. Oct 2003 B1
6694753 Lanz et al. Feb 2004 B1
6694927 Pouchak et al. Feb 2004 B1
6704401 Piepho et al. Mar 2004 B2
6778868 Imamura et al. Aug 2004 B2
6784872 Matsui et al. Aug 2004 B1
6806446 Neale Oct 2004 B1
6817195 Rafalovich et al. Nov 2004 B2
6828695 Hansen Dec 2004 B1
6860431 Jayadev Mar 2005 B2
6873876 Aisa Mar 2005 B1
6879059 Sleva Apr 2005 B2
6904385 Budike Jun 2005 B1
6922598 Lim et al. Jul 2005 B2
6943321 Carbone et al. Sep 2005 B2
6961642 Horst Nov 2005 B2
6983210 Matsubayashi et al. Jan 2006 B2
7010363 Donnelly et al. Mar 2006 B2
7039575 Juneau May 2006 B2
7043380 Rodenberg et al. May 2006 B2
7053790 Jang et al. May 2006 B2
7057140 Pittman Jun 2006 B2
7069090 Huffington et al. Jun 2006 B2
7082380 Wiebe et al. Jul 2006 B2
7110832 Ghent Sep 2006 B2
7155305 Hayes et al. Dec 2006 B2
7164851 Sturm et al. Jan 2007 B2
7206670 Pimputkar et al. Apr 2007 B2
7266962 Montuoro et al. Sep 2007 B2
7274973 Nichols et al. Sep 2007 B2
7274975 Miller Sep 2007 B2
7368686 Etheredge et al. May 2008 B2
7372002 Nakamura et al. May 2008 B2
7420140 Lenhart et al. Sep 2008 B2
7420293 Donnelly et al. Sep 2008 B2
7446646 Huomo Nov 2008 B2
7478070 Fukui et al. Jan 2009 B2
7541941 Bogolea et al. Jun 2009 B2
7561977 Horst et al. Jul 2009 B2
7565813 Pouchak Jul 2009 B2
7685849 Worthington Mar 2010 B2
7720035 Oh et al. May 2010 B2
7751339 Melton et al. Jul 2010 B2
7783390 Miller Aug 2010 B2
7919729 Hsu Apr 2011 B2
7925388 Ying Apr 2011 B2
7962248 Flohr Jun 2011 B2
7991513 Pitt Aug 2011 B2
8024073 Imes et al. Sep 2011 B2
8027752 Castaldo et al. Sep 2011 B2
8033686 Recker et al. Oct 2011 B2
8094037 Unger Jan 2012 B2
8185252 Besore May 2012 B2
8190302 Burt et al. May 2012 B2
8355748 Abe et al. Jan 2013 B2
8367984 Besore et al. Feb 2013 B2
20010025349 Sharood et al. Sep 2001 A1
20010048361 Mays et al. Dec 2001 A1
20020024332 Gardner Feb 2002 A1
20020071689 Miyamoto Jun 2002 A1
20020125246 Cho et al. Sep 2002 A1
20020175806 Marneweck et al. Nov 2002 A1
20020196124 Howard et al. Dec 2002 A1
20020198629 Ellis Dec 2002 A1
20030036820 Yellepeddy et al. Feb 2003 A1
20030043845 Lim et al. Mar 2003 A1
20030178894 Ghent Sep 2003 A1
20030193405 Hunt et al. Oct 2003 A1
20030194979 Richards et al. Oct 2003 A1
20030233201 Horst et al. Dec 2003 A1
20040024483 Holcombe Feb 2004 A1
20040034484 Solomita et al. Feb 2004 A1
20040098171 Horst May 2004 A1
20040100199 Yang May 2004 A1
20040107510 Buckroyd et al. Jun 2004 A1
20040112070 Schanin Jun 2004 A1
20040117330 Ehlers et al. Jun 2004 A1
20040118008 Jeong et al. Jun 2004 A1
20040128266 Yellepeddy et al. Jul 2004 A1
20040133314 Ehlers et al. Jul 2004 A1
20040139038 Ehlers et al. Jul 2004 A1
20040254654 Donnelly et al. Dec 2004 A1
20050011205 Holmes et al. Jan 2005 A1
20050134469 Odorcic et al. Jun 2005 A1
20050138929 Enis et al. Jun 2005 A1
20050173401 Bakanowski et al. Aug 2005 A1
20050184046 Sterling Aug 2005 A1
20050190074 Cumeralto et al. Sep 2005 A1
20060031180 Tamarkin et al. Feb 2006 A1
20060036338 Harkcom et al. Feb 2006 A1
20060068728 Ishidoshiro et al. Mar 2006 A1
20060095164 Donnelly et al. May 2006 A1
20060123807 Sullivan Jun 2006 A1
20060159043 Delp et al. Jul 2006 A1
20060190139 Reaume et al. Aug 2006 A1
20060208570 Christian et al. Sep 2006 A1
20060272830 Fima et al. Dec 2006 A1
20060276938 Miller Dec 2006 A1
20060289436 Carbone et al. Dec 2006 A1
20070005195 Pasquale et al. Jan 2007 A1
20070030116 Feher Feb 2007 A1
20070043478 Ehlers et al. Feb 2007 A1
20070136217 Johnson et al. Jun 2007 A1
20070151311 McAllister et al. Jul 2007 A1
20070185675 Papamichael et al. Aug 2007 A1
20070203860 Golden et al. Aug 2007 A1
20070213880 Ehlers Sep 2007 A1
20070220907 Ehlers Sep 2007 A1
20070229236 Mercer et al. Oct 2007 A1
20070271006 Golden et al. Nov 2007 A1
20070276547 Miller Nov 2007 A1
20080029081 Gagas et al. Feb 2008 A1
20080034768 Pimentel et al. Feb 2008 A1
20080083729 Etheredge et al. Apr 2008 A1
20080106147 Caggiano et al. May 2008 A1
20080120790 Ashrafzadeh et al. May 2008 A1
20080122585 Castaldo et al. May 2008 A1
20080136581 Heilman et al. Jun 2008 A1
20080144550 Makhlouf et al. Jun 2008 A1
20080167756 Golden et al. Jul 2008 A1
20080167931 Gerstemeier et al. Jul 2008 A1
20080172312 Synesiou et al. Jul 2008 A1
20080177678 Di Martini et al. Jul 2008 A1
20080179052 Kates Jul 2008 A1
20080204240 Hilgers et al. Aug 2008 A1
20080215263 Flohr Sep 2008 A1
20080258633 Voysey Oct 2008 A1
20080272934 Wang et al. Nov 2008 A1
20080277487 Mueller et al. Nov 2008 A1
20090006878 Borghetti et al. Jan 2009 A1
20090038369 Vondras Feb 2009 A1
20090063257 Zak et al. Mar 2009 A1
20090105888 Flohr et al. Apr 2009 A1
20090146838 Katz Jun 2009 A1
20090171862 Harrod et al. Jul 2009 A1
20090235675 Chang et al. Sep 2009 A1
20090240381 Lane Sep 2009 A1
20090326728 Chrisop et al. Dec 2009 A1
20100017242 Hamilton et al. Jan 2010 A1
20100070091 Watson et al. Mar 2010 A1
20100092625 Finch et al. Apr 2010 A1
20100131117 Mattiocco et al. May 2010 A1
20100175719 Finch et al. Jul 2010 A1
20100179708 Watson et al. Jul 2010 A1
20100262963 Wassermann et al. Oct 2010 A1
20100301774 Chemel et al. Dec 2010 A1
20110001438 Chemel et al. Jan 2011 A1
20110062142 Steurer Mar 2011 A1
20110085287 Ebrom et al. Apr 2011 A1
20110087382 Santacatterina et al. Apr 2011 A1
20110095017 Steurer Apr 2011 A1
20110106328 Zhou et al. May 2011 A1
20110114627 Burt May 2011 A1
20110123179 Roetker et al. May 2011 A1
20110148390 Burt et al. Jun 2011 A1
20110181114 Hodges et al. Jul 2011 A1
20110290781 Burt et al. Dec 2011 A1
20120054123 Broniak et al. Mar 2012 A1
Foreign Referenced Citations (10)
Number Date Country
1692317 Nov 2005 CN
101013979 Aug 2007 CN
2105127 Mar 1983 GB
11313441 Nov 1999 JP
20060085711 Jul 2006 KR
8600976 Feb 1986 WO
9012261 Oct 1990 WO
9848335 Oct 1998 WO
2007060059 May 2007 WO
2007136456 Nov 2007 WO
Non-Patent Literature Citations (20)
Entry
PCT/US2009/056911 International Search and Written Opinion, mailed Mar. 10, 2010.
PCT Application No. PCT/US09/56911, Search Report, Mar. 10, 2010.
Real-Time Feedback Your Key to Electricity Savings; http://oee.nrcan.gc.ca/publications/equipment/real-time-feedback.cfm?attr=4, Cat. No. M144-183/2008E-PDF, ISBN 978-6-662-48716-6, Canada, 2008.
International Search Report from PCT Application No. PCT/US2009/056878, Nov. 17, 2009.
International Search Report from PCT Application No. PCT/US2009/056882, Nov. 4, 2009.
International Search Report from PCT Application No. PCT/US2009/056883, Oct. 26, 2009.
International Search Report from PCT Application No. PCT/US2009/056886, Nov. 5, 2009.
International Search Report from PCT Application No. PCT/US2009/056889, Nov. 10, 2009.
International Search Report from PCT Application No. PCT/US2009/056894, Nov. 13, 2009.
International Search Report from PCT Application No. PCT/US2009/056895, Nov. 9, 2009.
International Search Report from PCT Application No. PCT/US2009/056906, Nov. 10, 2009.
International Search Report from PCT Application No. PCT/US2009/056913, Nov. 10, 2009.
International Search Report from PCT Application No. PCT/US2009/056914, Nov. 2, 2009.
International Search Report from PCT Application No. PCT/US2009/056919, Nov. 2, 2009.
Search Report from EP Application No. 10153695.1, May 24, 2012.
Real-Time Feedback, Natural Resources Canada via website www.nrcan.gc.ca , 2008, http://oee.nrcan.gc.ca/publications/equipment/10918.
Lemay et al., An Integrated Architecture for Demand Response Communications and Control, University of Illinois Urbana-Champaign, Oct. 28, 2008.
International Search Report from PCT Application No. PCT/US2009/056901, Nov. 10, 2009.
Search Report from CN Application No. 201010135268.8 dated Oct. 24, 2012.
Weisstein, Eric W. “At Least One.”, From MathWorld—A Wolfram Web Resource. http://mathworld.wolfram.com/AtLeastOne.html, p. 1.
Related Publications (1)
Number Date Country
20100179708 A1 Jul 2010 US
Provisional Applications (1)
Number Date Country
61097082 Sep 2008 US