CA2847213A1

CA2847213A1 - Estimating and optimizing cost savings for large scale deployments using load profile optimization

Info

Publication number: CA2847213A1
Application number: CA2847213A
Authority: CA
Inventors: Robert Burke
Original assignee: Hunt Energy IQ LP
Current assignee: Hunt Energy IQ LP
Priority date: 2012-01-19
Filing date: 2012-08-31
Publication date: 2013-07-25
Also published as: AU2015202717A1; MX337501B; MX2014002530A; AU2012366240A1; EP2742471A1; EP2742471A4; CN104054096A; WO2013109313A1

Abstract

A system, computer-implemented method, and a computer program product are provided for estimating and optimizing cost savings for large scale deployments using load profile optimization. Selections are received, via a user interface, of a primary load profile and multiple secondary load profiles. The primary load profile is input from a first external source and the multiple secondary load profiles are input from a second external source. The primary load profile is compared with the multiple secondary load profiles. The comparisons of the primary load profile and the multiple secondary load profiles are output via the user interface.

Description

ESTIMATING AND OPTIMIZING COST SAVINGS FOR LARGE SCALE
DEPLOYMENTS USING LOAD PROFILE OPTIMIZATION
CROSS REFERENCE TO RELATED APPLICATIONS:
This application is a non-provisional application claiming priority to U.S.
Provisional Patent Application, Serial No.61/530,658, to Burke, filed September 2, 2011, which is incorporated herein by reference for all purposes.
FIELD OF THE PRESENT DISCLOSURE:
[0001] The invention relates generally to energy management, and more specifically to a system, computer-implemented method, and computer program product for estimating and optimizing cost savings for large scale deployments using load profile optimization.
BACKGROUND:

[0002] A facility manager may attempt to identify a load profile, an electrical engineering term for a graph of the variation in an electrical load versus time, for a facility, which delivers a sufficient cost reduction for the facility. The facility manager may review a cost reduction goal, combine equipment load profiles into logical groups to create a facility load profile, calculate a target load profile for the facility, guess at meaningful changes for the facility load profile, configure equipment to implement these changes, and verify whether the target load profile is achieved for the facility. If the target load profile is not achieved for the facility, the facility manager may reconfigure the equipment until the target load profile is achieved for the facility.

Once the target load profile is achieved for the facility, the facility manager waits until a billing period is over to determine if the cost reduction goal is achieved. If the cost reduction goal is not achieved, the facility manager may begin the entire process over again. If the facility manager wishes to compare load profiles between two facilities or even between logical collections of equipment such as HVAC and refrigeration within the same facility, the facility manager must execute the process multiple times for each system, respectively. The comparison of two or three systems may be possible given enough time, but this comparison process is completely infeasible for large sets of systems.
[0003] The process that is typically employed to estimate the potential cost savings of deploying a target load profile to multiple facilities begins with selecting a cost reduction target and a primary facility. The process described above for load profile optimization is then conducted for the primary facility. Once the cost reduction targets are met, a facility manager may set about the difficult task of estimating the cost saving that might be realized if a similar load profile were applied at multiple facilities. Typically, a set of secondary facilities are chosen that are sufficiently similar to the primary facility. Cost related information is then collected from each secondary facility, such as utility provider and tariff information.
Next, a facility load profile is collected from each secondary facility. These secondary load profiles are then compared to the primary load profile and cost differences are estimated. This comparison and estimation is particularly difficult because of the varying cost sensitivities between the facilities, and becomes almost impossible for customers with large numbers of facilities.
Once these costs are estimated, a determination is made if the costs of deploying the target load profile to the secondary facilities are significantly less than the potential savings to warrant a mass deployment of the target load profile. This current process of comparing multiple load profiles for facilities and estimating cost savings for a large number of deployed load profiles is costly and time consuming, prone to error, and often not repeatable. Furthermore, the analysis represents a single snapshot in time, and may not take into consideration all the relevant variables.
SUMMARY:

[0004] A system, computer-implemented method, and computer program product are provided for estimating and optimizing cost savings for large scale deployments of optimized load profiles. The system enables a user to decide whether a deployment of a target load profile to each of multiple secondary facilities would be cost effective for each of the secondary facilities without requiring significant amounts of capital expenses reconfiguring equipment or significant amounts of time to be spent waiting for the end of any utility provider's billing cycle.

[0005] The system receives selections of a primary load profile and one or more secondary load profiles via a user interface. For example, a user selects a target load profile created for a proposed reconfiguration of a facility's refrigeration Equipment and the facility's HVAC
Equipment and the load profiles for ten similar facilities' energy costs, which is based on the ten facilities' refrigeration energy costs and the ten facilities' HVAC energy costs. Although a facility's load profile may combine many load profiles, this simplified example combines only two types of load profiles. The system inputs the primary load profile and the one or more secondary load profiles from one or more external sources. For example, the system inputs the target load profile from a load profile library and the ten load profiles from ten other databases.

[0006] The system compares the primary load profile with the one or more secondary load profiles. For example, the system makes a comparison of the target load profile with the ten load profiles, ensuring that the functioning of the ten associated facilities is unaffected. The system outputs one or more comparisons of the primary load profile and the one or more secondary load profiles via the user interface. For example, the system outputs cost differentials based on the comparisons of the target load profile with the ten load profiles and based on utility provider information for the load profiles, such as complex time-of-use tariffs. The cost differentials enable a system user to decide whether a deployment of a load profile to each specific facility would be cost effective for each specific facility without requiring significant amounts of capital to be spent reconfiguring equipment or significant amount of time to be spent waiting for the end of any utility provider's billing cycle.
BRIEF DESCRIPTION OF THE DRAWINGS:

[0007] Drawings of the preferred embodiments of the present disclosure are attached hereto so that the embodiments of the present disclosure may be better and more fully understood:

[0008] FIG. 1 presents a sample system of the present disclosure;

[0009] FIG. 2 presents a sample frame depicted by a user interface of the present disclosure;

[0010] FIG. 3 presents another sample frame depicted by a user interface of the present disclosure; and [0011] FIG. 4 presents a sample method of the present disclosure.
DEFINITIONS

[0012] As used herein, Facility Domain refers to the one or more facility, building, plant, operations platform, etc., consuming energy, and the power uses within such facilities, and expertise specifically related to such facility, such as knowledge regarding building management, physical assets, power use, energy power consumption devices, and monitoring tools. A
customer will have personnel, whether employees or contractors, with expertise in the Facility Domain, and capable of defining or identifying facility Performance Indicators, referred to as a facility manager.

[0013] As used herein, Energy Domain refers to energy consumption, use, distribution of use, energy consumption behavior, energy measurement, energy use measurement, key Performance Indicators for a business sector, etc., and the knowledge and expertise specific to such information. An Energy Domain Analyst, or simply "analyst," is a person, whether employed by a customer, or contracted as an expert, with expertise in the Energy Domain and capable of defining or identifying energy use Performance Indicators.

[0014] As used herein, Business Domain refers to business or customer operations, revenue, revenue targets, budgeting, planning, costs, cost goals, etc., and the knowledge and expertise relevant to a business. A customer will have personnel, whether employees or contractors, who are experts in the Business Domain capable of defining or identifying business Performance Indicators. Energy Resource Management, as used herein, refers to management of energy consumption and its by-products at the Business Domain level. It is to be understood that various experts and analysts referred to herein may be one or more person, an employee or contractor, and that a single person may qualify as an expert in more than one Domain.

[0015] As used herein, Equipment refers to one or more energy consuming devices, such as Heating, Ventilation, and Air Conditioning (HVAC) systems, water pumps, compressors, engines, lighting systems, etc. The term Equipment may mean a single piece of equipment or a logical grouping of several pieces of equipment. For example, Equipment may refer to a group of electrical devices in a single location, such as on a floor of a facility or at a machine bay or on a rig. Similarly, Equipment may be grouped by type of device, such as all the HVAC units for a facility.

[0016] As used herein, Business Intelligence refers to software-based tools used to extract, create, and/or import key Performance Indicators for a customer. As used herein, Performance Indicators refer to data and/or variables regarding energy consumption, energy resource management, costs, usage, etc. that can be used to generate insights into energy use and efficiency. Performance Indicators refer to information that may be used in creating, modifying, describing and displaying load profiles. For example, a facility Performance Indicator may be a facility's HVAC load profile, which combines the facility's energy demand measured by meter 1 for HVAC unit 1 and the facility's energy demand measured by meter 2 for HVAC
unit 2.

[0017] As used herein, Domain Variables refer to the data and the variables (such as kilowatts, kilowatt hours, etc.) for all of the various domains, such as the Facility Domain, the Energy Domain, and the Business Domain. As used herein, Domain Mapping refers to the translation of Performance Indicators from one domain to a set of Performance Indicators in another domain. For example, a business Performance Indicator may be a number of sales per kilowatt hour, and an energy Performance Indicator may be the demand cost for the collective lighting systems across ten buildings, while a facility Performance Indicator may be the average temperature during a period of sales.

[0018] As used herein, an Equipment load profile is a graph of the variation in the electrical load versus time for a specific piece of Equipment. The equipment load profile is metered by a power meter on the piece of Equipment. In contrast, a load profile is an electronic graph of the variation in the electrical load versus time which is created by an Energy Management System user and related to selected Domain Variables. As used herein, a stored load profile is simply a load profile which has been saved. Various load profiles may be created and/or modified until one of the load profiles enables achievement of a goal, thereby becoming a target load profile.
As used herein, a target load profile is an electronic load profile based on a targeted energy usage, or other targeted variable. A target load profile created for a primary facility may become a primary load profile that may be used to create, compare, and modify load profiles for other similar facilities.
DETAILED DESCRIPTION OF SOME EMBODIMENTS:

[0019] FIG. 1 presents a sample system 100 of the present disclosure, which may also be referred to as an energy management system 100. The system 100 includes a computer 102, a memory 104, a computer program 106, and a user interface 108. The computer program 106 is stored in the memory 104 and executed by the computer 102 to communicate via the user interface 108 with system users.

[0020] The computer 102 also communicates with a Facility Domain database 110, an Energy Domain database 112, and a Business Domain database 114, which may be mutually exclusive databases. The computer program 106 includes a load profile examiner 116 and a cost engine 118. The computer 102 also communicates with a load profile library 120, which includes load profiles 122. Although FIG. 1 depicts one of each of the elements 102 ¨ 122, the system 100 may include any number of each of the elements 102 ¨ 122.

[0021] The load profile examiner 116 imports load profiles, modifies load profiles, compares load profiles, and graphically depicts all comparisons between the load profiles. The cost engine 118 calculates cost differentials based on comparisons of load profiles and based on utility provider information, such as complex time-of-use tariffs, and can decompose the cost differentials into cost drivers. The load profile library 120 stores the load profiles 122 accessed by the system 100. An example of the load profile library 120 is described below in reference to FIG. 3. The load profiles 122 are imported and modified by the user of the system 100, and are combinations or modifications of load profiles. An example of the load profiles 122 is described below in reference to FIG. 2. The computer program 106 may synchronize a load profile with the metered data from the load profile's component load profiles to enable comparisons based on metered data, without the need to reconfigure the equipment associated with the metered data.
Metered data may refer to data previously measured by a meter and/or data that is currently measured by a meter.

[0022] Examples of data in the Business Domain include budgets, corporate energy conservation goals, sales transactions, operational expenses, energy cost, demand cost, and transaction and energy cost. Examples of data in the Energy Domain, upon which data in the Business Domain may be based, include calculated data such as real usage, reactive usage, power factor, maximum demand, kilovolt-ampere reactive (kVAr), kilovolt-ampere reactive hours (kVArh), power factor, kilowatts during a base time of use, kilowatts during an intermediate time of use, kilowatts during a sub-peak time of use, kilowatts during a peak time of use, kilowatt hours during a base time of use, kilowatt hours during an intermediate time of use, kilowatt-hours during a sub-peak time of use, and kilowatt hours during a peak time of use.
Examples of data in the Facility Domain, upon which the data in the Energy Domain may be based, include raw data such as meter data, meter configuration, metered data, a sampling frequency, heating ventilation and air conditioning (HVAC) data, lighting data, humidity and, temperature, and control information such as setpoints.

[0023] The computer program 106 enables a user to decide whether a deployment of a target load profile from a primary facility to each of multiple secondary facilities would be cost effective for each of the multiple secondary facilities without requiring significant amounts of capital to be spent reconfiguring equipment or a significant amount of time to be spent waiting for the end of any utility provider's billing cycle. The computer program 106 receives selections of a primary load profile and one or more secondary load profiles via the user interface 108. For example, a user selects a target load profile that created for a proposed reconfiguration of a facility's refrigeration Equipment and the facility's HVAC Equipment and the load profiles for ten similar facilities' energy costs, which are based on the ten facilities' refrigeration energy costs and the ten facilities' HVAC energy costs. By inputting and modifying the target load profile that combines the metered data from the HVAC load profile and the metered data from the refrigeration load profile, the computer program 106 enables the operation of the associated HVAC system and refrigeration system to continue unaffected while the computer program 106 makes comparisons between the target load profile based on the metered data and any other load profiles.

[0024] Although a facility's load profile may combine many component load profiles, this simplified example combines only two types of component load profiles. For example, a facility's target load profile may combine load profiles for each of the facility's refrigeration system, HVAC system, lighting system, water system, and natural gas system.

[0025] The computer program 106 may reformat load profiles to ensure compatibility between load profiles and to modify target load profiles. For example, the computer program 106 may reformat a load profile for smart meters from the Facility Domain database 110 and load profiles for refrigeration system costs and HVAC system costs from the Energy Domain database 112 to ensure that these load profiles are compatible, thereby enabling comparison of these load profiles or the modification of a target load profile based on these load profiles.

[0026] The primary load profile may be a static load profile or a metered primary load profile. For example, the primary load profile may be a target load profile based on historical data measured on a specific day when the user reconfigured a facility's Equipment to operate in a specific manner. In another example, the primary load profile may be a metered load profile based on current data measured from a specific facility's Equipment that the user has reconfigured to operate in a specific manner.

[0027] In contrast to many Energy Management Systems that can input load profiles from only one source, the load profile examiner 116 inputs the primary load profile and the one or more secondary load profiles from one or more external sources. For example, the load profile examiner 116 inputs the target load profile from the load profile library 120 and the ten load profiles from ten energy domain databases, with each database similar to the energy domain database 112. However, the first external source does not have to be different from the second external source. For example, the load profile examiner 116 may input all of the load profiles to be compared from the load profile library 120.

[0028] The load profile examiner 116 compares the primary load profile with the one or more secondary load profiles. For example, the load profile examiner 116 makes a comparison of the target load profile with metered data from the ten load profiles, thereby ensuring that the functioning of the ten associated facilities is unaffected.

[0029] The load profile examiner 116 outputs one or more comparisons of the primary load profile and the one or more secondary load profiles via the user interface 108. For example, the load profile examiner 116 outputs cost differentials based on calculations made by the cost engine 118 using the comparisons of the target load profile with the ten load profiles and based on utility provider information for the load profiles, such as complex time-of-use tariffs.

[0030] The cost engine 118 may enable a system user to select utility provider information and tariff information to be applied to the secondary load profile. For example, a system user may conduct a "what-if" scenario by substituting alternative utility provider information and alternative tariff information for a facility's utility provider information and tariff information to determine if the customer could reduce expenses by changing utility providers.

[0031] The cost engine 118 may decompose a load profile into billing cost factors, such as demand, usage, and penalties costs, including time-of-use sensitivities, and may decompose aggregate load profiles into constituent load profiles and their respective relative demand and cost contributions and cost sensitivities, etc. The cost engine 118 may analyze, decompose, and otherwise manipulate the load profile data to indicate the individual cost drivers across selected Equipment, Equipment groups, etc., such as HVAC, refrigeration, and lighting.
The decomposition process may analyze a specified load profile, such as a baseline load profile, and indicates which particular Equipment, locations, energy usage or time-of-use, are driving energy costs. For example, the cost engine 118, based on the loaded demand, tariffs, etc., may indicate that the most significant cost driver for facility 2 is the HVAC Equipment, and provide a cost sensitivity graphic related to the HVAC Equipment, etc.

[0032] The computer program 106 may automatically generate suggested energy usage and/or time-of-use changes to provide a targeted cost reduction and output these suggestions via the user interface 108. For example, the computer program 106 may analyze a targeted costs reduction, -10% for example, and calculate and output to the user a suggested reduction of load pulled by the HVAC Equipment throughout the facility, resulting in a one degree increase in facility temperature during business hours, will result in a targeted cost reduction.

[0033] The computer program 106 can, based on selections and limitations entered by the user, offer solutions which fit the user's priorities. For example, the facility manager for facility 2 can specify that a temperature change above a certain temperature during business hours is not allowed as a suggestion to reduce cost. The computer program 106 can provide alternative suggestions, such as temperature increase during off-peak hours, reduction in floor lighting, etc., to reduce energy costs. The computer program 106 provides the user with enough flexibility to automatically determine, using the data provided by the computer program 106, to reach a targeted cost reduction without changes to essential equipment or particular energy usage which is desired to be omitted from the analysis. The computer program 106 may also account for physical plant or facility modifications which have not been implemented but can be modeled by the system. For example, a facility manager for facility 2 can select a Performance Indicator associated with providing window tinting on the south-facing windows, or installation of high-efficiency HVAC systems on Floor 3, etc., and the computer program 106 may provide the anticipated cost changes due to such changes. Obviously, such outputs require inputting known or published data related to the efficiencies associated with the physical devices.

[0034] These cost differentials output by the load profile examiner 116 enable a system user to decide whether a deployment of a target load profile from a primary facility to each secondary facility would be cost effective for each secondary facility without requiring significant amounts of capital to be spent reconfiguring equipment or significant amount of time to be spent waiting for the end of any utility provider's billing cycle. The load profile examiner 116 may provide the user with data such as cost differences between load profiles, selected and historical equipment loads or demands, load modifications, historical loads, cost sensitivities, historical and anticipated costs, relevant data about utility providers and tariffs, etc. A
cost sensitivity is a cost gradient as a function of load profile changes, namely of usage and time-of-use, or demand and time. Cost sensitivity can be calculated and displayed for a piece or group of equipment, for a facility, location, floor, system, etc.

[0035] If the computer program 106 predicts that the desired cost reductions will not been achieved, the facility manager may simply modify the primary load profile and gets updated, modified, associated cost output from the cost engine 118. If the estimated costs generated by the computer program 106 differ from the actual costs after the utility bill is available from the utility provider, and the desired cost reductions have not been achieved, the process can be refined. For example, the facility manager may modify the primary load profile to include additional or different Equipment loads or make corrections to better model the actual load and demand, tariffs, and other data and calculations used by the computer program 106. However, the expected success rate for estimated costs is high because of the benefits of the computer program 106.

[0036] FIG. 2 presents a sample frame 200 presented by the user interface 108 in FIG. 1 of the present disclosure. The frame 200 includes a location column 202, a facility domain column 204, an energy domain column 206, a business domain column 208, a load profile library column 210, a reformatted variables column 212, and a load profile examiner column 214.

[0037] The location column 202 includes a row for customer XYZ, which includes indented rows for a northeast zone, a southeast zone, a northwest zone, and a southwest zone. If the indented row for the northeast zone is selected via the user interface 108, the location column 202 depicts a double indented row for the city A. If the double indented row for the city A is selected via the user interface 108, the location column 202 depicts triple indented rows for facility 1, facility 2, and facility 3. If the triple indented row for facility 1 is selected via the user interface 108, the computer program 106 receives this selection of the facility 1 location.
Subsequent selections of variable identifiers may be based on the location selection. For example, the computer program 106 receives the selection of the triple indented row for facility 1 in the location column 202, presents variables that correspond to facility 1 in city A in the northeast zone for selection in the columns 204 ¨ 208, and identifies this location selection in the reformatted variables column 212.

[0038] The Facility Domain column 204 includes rows for floor 1 and basement, which correspond to facility 1 selected from the location column 202. If the row for floor 1 was selected via the user interface 108, the Facility Domain column 204 may depict indented rows for smart meter 1 and smart meter 2. If the indented row for smart meter 1 was selected via the user interface 108, the Facility Domain column 204 may depict double indented rows for data and configuration. If the row for the basement of facility 1 is selected via the user interface 108, the Facility Domain column 204 may depict a double indented row for a thermostat. If the double indented row for the thermostat of facility 1 was selected via the user interface 108, the Facility Domain column 204 may depict triple indented row for data and configuration of the thermostat. If the triple indented row for the configuration of the thermostat was selected via the user interface 108, the Facility Domain column 204 may depict a quadruple indented row for the set point of the thermostat. In this example, since the computer program 106 receives the selections of the indented rows for the smart meters in the Facility Domain column 204, the computer program 106 identifies these selections in the reformatted variables column 212.

[0039] The Energy Domain column 206 includes rows for refrigeration, HVAC, lighting, water, natural gas, facility total, and bill audit. If the row for facility total is selected via the user interface 108, the Energy Domain column 206 depicts an indented row for total cost. In this example, since the computer program 106 receives the selections of the rows for refrigeration and HVAC in the Energy Domain column 206, the computer program 106 identifies these selections in the reformatted variables column 212.

[0040] The Business Domain column 208 includes rows for cost goals, sustainability targets, sales figures, conservation goals, and utility providers. If the row for sustainability targets was selected via the user interface 108, the Business Domain column 208 may depict an indented row for CO2 footprint. If the row for sales figures was selected via the user interface 108, the Business Domain column 208 may depict an indented row for total sales. If the row for cost goals is selected via the user interface 108, the Business Domain column 208 may depict an indented row for budget. If the row for conservation goals is selected via the user interface 108, the Business Domain column 208 may depict an indented row for monthly cost reduction goal.
If the row for utility providers is selected via the user interface 108, the Business Domain column 208 may depict an indented row for Energy Co. In this example, since the computer program 106 receives the selections of the indented row for monthly cost reduction goal and Energy Co. in the Business Domain column 208, the computer program 106 identifies this selection in the reformatted variables column 212.

[0041] The load profile library column 210 depicts load profiles that a user may select via the user interface 108, which may serve as an alternative to creating a target load profile. An example of the load profile library 120 is described below in reference to FIG. 3.

[0042] The reformatted variables column 212 includes references to previous selections. For example, the reformatted variables column 212 depicts the selection of facility 1 in city A in the northeast zone for customer XYZ as the location selection, the smart meters 1 and 2 on floor 1 of facility 1 as the variables selected from the Facility Domain, the cost of the refrigeration system and the cost of the HVAC system for facility 1 as the variables selected from the Energy Domain, and the monthly conservation goal and the utility provider information for Energy Co.
as the variables selected from the Business Domain.

[0043] The load profile examiner column 214 may include text 216 entered by a customer via the user interface 108 that modified a target load profile. Alternatively, the text 216 may be automatically generated by the computer program 106 based on measuring relationships between Equipment load profiles. Complicated computer programs are typically written in computer languages by either software vendors or hired experts, and typically require a lengthy software development life cycle before the computer program is laboriously compiled into executable language that may have to wait before it can be loaded into a live data system. In contrast, the text 216 may be customer-entered modifications based on a simple text that the customer can easily understand, and the text 216 may be interpreted and executed quickly by a live data system without the need for compilation or the need to wait before the text can be used by the live data system. The computer program 106 provides customers with the capability of achieving operational scalability by drastically reducing the development life cycle to modify and compare a large number of load profiles through the elimination of middlemen such as software vendors and hired experts during a greatly accelerated development process.

[0044] In this example, the text 216 represents a target load profile that is based on an equation modified by the user, in which the target load profile for facility 1 is a cost that equals 2 multiplied by facility l's HVAC cost plus 0.5 multiplied by facility l's refrigeration cost. For this example, the system user may have reconfigured facility l's HVAC
equipment and refrigeration equipment to optimize facility l's operation and cost. The system user may have attempted to achieve a 10% cost reduction goal for facility 1 while maintaining facility l's operational requirements by increasing the operation of facility l's HVAC
equipment while decreasing the operation of facility l's refrigeration equipment. In this example, the system user reconfigured the HVAC equipment to pre-cool facility 1 before peak energy usage hours, which enabled a reduction in the operation of the refrigeration equipment during peak energy usage hours, when a disproportionally large amount of the costs are incurred. The Equipment load profiles for the HVAC equipment and the refrigeration equipment were measured by meters during this reconfigured operation, resulting in an HVAC cost that was double the previous HVAC cost and a refrigeration cost that is half of the previous refrigeration cost. If the previous refrigeration cost was significantly more than the previous HVAC cost, this Equipment reconfiguration enabled the system user to achieve the desired goal of the 10%
reduction in operating costs. Therefore, the system user modified the text 216 that reflected this potential reconfiguration of equipment. The text 216 may represent either a static load profile, or the text 216 may represent metered data from the facility, either which may be referred to as a primary load profile because the system user selected facility 1 as the primary load profile to which subsequent load profiles will be compared.

[0045] The text 216 also indicated that a solid bold line will graphically represent the target load profile equation in the load profile examiner column 214. For example, the solid bold line in the load profile examiner column 214 graphically indicates that facility l's target load profile slowly increased, rapidly increased, and then slowly decreased during a day.

[0046] The load profile examiner column 214 includes text 218 that indicates that the load profile that represents the addition of facility 2's HVAC load profile to facility 2's refrigeration load profile is graphically represented by a solid line. For example, the solid line in the load profile examiner column 214 graphically indicates that facility 2's load profile rapidly increased, practically flat-lined, increased, and then rapidly increased again during the day.

[0047] The load profile examiner column 214 includes text 220 that indicates that a comparison between facility l's target load profile and facility 2's load profile is graphically represented by a bold dashed line. For example, the bold dashed line in the load profile examiner column 214 graphically indicates that the cost engine 118 calculated that the cost savings differential between facility l's target load profile and facility 2's load profile increased, decreased, and then increased again during the day.

[0048] The load profile examiner column 214 includes peak energy usage hours 222 that indicate when a disproportionally large amount of the costs are incurred. The graphic representations in the load profile examiner column 214 indicate that both facility l's target load profile and facility 2's load profile are in a complex time-of-use tariff, the greatest cost differentials occur during the peak energy usage hours 222, and facility l's target load profile has a lower peak demand than facility 2's load profile.

[0049] The load profile examiner column 214 includes cost differential text 224 that indicate the cost differential calculated by the cost engine 118 for the time period graphically represented.
For example, the cost differential text 224 indicates that the energy costs represented by the proposed deployment of facility l's target load profile to facility 2 is $250 less than the energy costs represented by facility 2's load profile. In this example, the cost engine 118 decomposes the cost differential into multiple cost drivers of $180 in usage savings and $70 in demand savings.

[0050] The load profile examiner 116 may save the comparison of the load profiles in a library for use as a cost differential. For example, the computer program 106 may enable the system user to save facility l's target load profile represented by the text 216 as one of the load profiles 122 in the load profile library 120 and save the comparison between facility l's target load profile and facility 2's load profile as a cost differential load profile in the load profile library 120. The system user may subsequently retrieve load profiles from the load profile library 120 for analysis. For example, the system user may retrieve the cost differential load profile as static data from the load profile library 120 to analyze the difference between the load profiles on the day the load profiles were compared. In another example, the system user may retrieve the cost differential load profile as metered data from the load profile library 120 to analyze the difference between the load profiles for the day subsequent to when the load profiles were retrieved.

[0051] The frame 200 may be part of a larger display screen that includes fields for users to enter commands to make, edit, and store selections and transform text. The user interface 108 in FIG. 1 may output a display screen that includes the frame 200 in FIG. 2 in response to a search based on search criteria input via the user interface 108 in FIG. 1. For example, a system user may enter search criteria to request to review the frame 200, which corresponds to the selections and text previously entered.

[0052] FIG. 3 presents a sample frame 300 presented by the user interface 108 in FIG. 1 of the present disclosure. The frame 300 includes a load profile library 302 and a load profile subscriptions library304. A system user may instruct the computer program 106 to import load profiles from the load profile library 302 into the load profile examiner column 214 in FIG. 2.
The load profile subscriptions library304 depicts the capability which allows the system user to associate load profiles in a one to many relationship.

[0053] The load profile library 302 includes rows and columns such as a "profile type"
column, a "location type" column, a "location" column, an "asset name" column, a "combined"
column, a "profile name" column, a "created by" column, a "last modified"
column, and an "operation" column. The load profile library 302 identifies information for stored load profiles and enables system users to retrieve stored load profiles. For example, after the first row in the load profile library302 that includes the headings for these columns, the "profile type" column specifies whether each load profile reflects currently metered data or static historic data, the "location type" column specifies a geographic area for each load profile, and the "location"
column specifies a physical location for each load profile. Continuing this example, the "asset name" column specifies the Equipment assigned to each load profile, the "combined" column specifies whether each load profile includes a combination of other load profiles, a "profile name" column specifies a name assigned by a system user to each load profile, a "created by"
column specifies a system user who created each load profile, and the "last modified" column specifies when each load profile was created. By selecting from the corresponding options of edit, delete, and export in the "operation" column, a system user instructs the computer program 106 to edit the corresponding load profile, to delete the corresponding load profile, or to export the corresponding load profile.

[0054] The load profile subscriptions library 304 includes rows and columns such as a "baseline profile name" column, a "tracking" column, a "last day" column, a "last week"
column, a "last month" column, and an "operation" column. The load profile subscriptions 304 identify which load profiles are tracking other load profiles and the cost differentials associated with the load profiles tracking the other load profiles, and enable system users to retrieve depictions of the tracking and tracked load profiles. For example, after the first row in the load profile subscriptions 304 that includes the headings for these columns, the "business profile name" column specifies each load profile that is tracking another load profile, the "tracking column" column specifies each load profile that is being tracked by a load profile, while the "last day" column, the "last week" column and the "last month" column specify a calculated cost saving that the equipment associated with the baseline profile would have achieved if the facility had the same load profile as the load profile specified in the "tracking"
column. By selecting from the corresponding options of view, delete, and update in the "operation"
column, a system user instructs the computer program 106 to enable the user to view a graphic depiction of the corresponding baseline load profile and the load profile specified in the corresponding "tracking"
column, such as the graphic depictions in the load profile examiner column 214 in FIG. 2.

[0055] The system user can have any number of load profiles automatically track another load profile, establishing a comparative relationship that continually calculates the cost differences between the tracking load profiles and the tracked load profiles for the associated facilities, even if the load profiles represent currently metered data, without affecting the facility operations represented by the load profiles. This automatic tracking is a cost and time saving capability for large customers because such customers may have large numbers of facilities, making manual tracking infeasible. In the example depicted the load profile subscriptions 304 in FIG. 3, a system user has chosen to have the load profile for the HVAC in 9 poorly performing stores track the load profile for the HVAC in the primary store. The system user may quickly assess the cost savings opportunities, and decide early on to deploy the HVAC
configurations associated with the primary store to stores 1 and 3 through 9 based on the data in the "Last Day"
column, the "Last Week" column, and the "Last Month" column. Furthermore, the system user may investigate the reasons why the load profile subscriptions 304 indicate that deploying the HVAC configuration to store 2would have resulted in negative cost savings.

[0056] Continuing this example, the computer program 106 may enable a system user to delete the tracking relationship between the corresponding load profiles, or to update the tracking relationship between the corresponding load profiles, such as by adding another load profile to the load profiles listed in the "tracking" column.

[0057] Because the frames 200 ¨ 300 in FIG. 2 ¨ FIG. 3, respectively, are samples, the frames 200 ¨ 300 could vary greatly in appearance. For example, the relative sizes and positioning of the columns and rows are not important to the practice of the present disclosure.
The frames 200 ¨ 300 can be depicted by any visual display, but are preferably depicted by a computer screen. The frames 200 ¨ 300 could also be output as reports and printed or saved in electronic format, such as portable document file (PDF). The frames 200 ¨ 300 can be part of a personal computer system and/or a network, and operated from system data received locally, by the network, and/or on the Internet. The frames 200 ¨ 300 may be navigable by a user.
Typically, a user can employ a touch screen input or a mouse input device to point-and-click to a location on the frames 200 ¨ 400 to manage the text on the frames 200 ¨ 300, such as a selection that enables a user to drag the text from at least some of the columns 202 ¨
210 and drop the text into the reformatted variables column 212. Alternately, a user can employ directional indicators, or other input devices such as a keyboard. The text depicted by the frames 200 ¨ 300 are examples, as the frames 200 ¨ 300 may include a much greater amount of text.

[0058] FIG. 4 presents a sample method 400 of the present disclosure. The energy management system 100 in FIG. 1 may execute the method 400 to decide whether a deployment of a primary load profile from a primary facility to a secondary facility would be cost effective for the secondary facility without requiring significant amounts of capital to be spent reconfiguring equipment or significant amount of time to be spent waiting for the end of any utility provider's billing cycle.

[0059] In box 402, selections of a primary load profile and a secondary load profile are received. For example, the computer program 106 receives selections of facility l's target load profile represented by the text 216 in FIG. 2 and facility 2's load profile represented by the text 218 in FIG.2.

[0060] In box 404, a primary load profile is input from a first external source and a secondary load profile is input from a second external source. For example, the computer program 106 inputs facility l's target load profile from the load profile library 120 and facility 2's load profile from the Energy Domain database 112.

[0061] In box 406, a primary load profile is compared with a secondary load profile. For example, the computer program 106 compares facility l's target load profile of static data with facility 2's load profile of currently metered data without effecting the operation of equipment in facility 2.

[0062] In box 408, a comparison of a primary load profile and a secondary load profile is output. For example, the computer program 106 outputs the load profile examiner column 214 in FIG. 2, which indicates that the proposed deployment of facility l's target load profile to facility 2 would be calculated to save $250 for the day.

[0063] The method 400 may be repeated as desired. Although this disclosure describes the boxes 402 ¨ 408 executing in a particular order, the boxes 402 ¨ 408 may be executed in a different order.

[0064] The systems, methods, and computer program products in the embodiments described above are exemplary. Therefore, many details are neither shown nor described.
Even though numerous characteristics of the embodiments of the present disclosure have been set forth in the foregoing description, together with details of the structure and function of the present disclosure, the present disclosure is illustrative, such that changes may be made in the detail, especially in matters of shape, size and arrangement of the components within the principles of the present disclosure to the full extent indicated by the broad general meaning of the terms used in the attached claims. The description and drawings of the specific examples above do not point out what an infringement of this patent would be, but are to provide at least one explanation of how to make and use the present disclosure. The limits of the embodiments of the present disclosure and the bounds of the patent protection are measured by and defined in the following claims.

[0065] The following are incorporated herein by reference for all purposes:
U.S. Patent Application Serial No. 13/155,222, to Burke, entitled June 7, 2011; U.S.
Patent Application Serial No. 13/219,361, to Burke, filed August 26, 2011; U.S. Patent Application Serial No.
13/223,632, filed September 1, 2011, to Burke; U.S. patent application entitled "Estimating and Optimizing Cost Savings for Large Scale Deployments using Load Profile Optimization", to Burke, filed concurrently herewith; U.S. patent application entitled "Dynamic Tagging To Create Logical Models and Optimize Caching in Energy Management Systems", to Burke, filed concurrently herewith; and U.S. Patent Application entitled "Load Profile Management and Cost Sensitivity Analysis", to Burke, filed concurrently herewith.

Claims

1. A system for estimating and optimizing cost savings for large scale deployments using load profile optimization, the system including:
a computer;
a memory;
a user interface; and a computer program stored in the memory and executable by the computer to:
receive, via the user interface, selections of a primary load profile and multiple secondary load profiles;
input the primary load profile from a first external source and the multiple secondary load profiles from a second external source;
compare the primary load profile with the multiple secondary load profiles;
and output the comparisons of the primary load profile and the multiple secondary load profiles via the user interface.

2. A system as in Claim 1, wherein the primary load profile is a static load profile and wherein each of the multiple secondary load profiles is a currently metered load profile.

3. A system as in Claim 1, wherein the primary load profile is a currently metered primary load profile and wherein each of the multiple secondary load profiles is a currently metered load profile.

4. A system as in Claim 1, wherein the first external source is the same as the second external source.

5. A system as in Claim 1, wherein the comparison includes a cost differential based on the comparison of the primary load profile with at least one of the multiple secondary load profiles.

6. A system as in Claim 1, wherein outputting the comparison includes graphically depicting comparison components that comprise the comparison during a time period.

7. A computer-implemented method for estimating and optimizing cost savings for large scale deployments using load profile optimization, the method including the steps of:
receiving, via a user interface by a computer program stored in a memory and executed by a computer, selections of a primary load profile and a secondary load profile;
inputting, by the computer program, the primary load profile from a first external source and the secondary load profile from a second external source;
comparing, by the computer program, the primary load profile with the secondary load profile;
calculating, by the computer program, a cost differential based on the comparison of the primary load profile with the secondary load profile and outputting, by the computer program, the cost differential via the user interface.

8. A computer-implemented method as in Claim 7, wherein each of the primary load profile and the secondary load profile is a currently metered load profile.

9. A computer-implemented method as in Claim 7, wherein the first external source is the same as the second external source.

10. A computer-implemented method as in Claim 7, wherein calculating the cost differential includes using utility provider information and tariff information associated with the secondary load profile.

11. A computer-implemented method as in Claim 7, wherein calculating the cost differential includes enabling a user to select utility provider information and tariff information to be applied to the secondary load profile.

12. A computer-implemented method as in Claim 7, wherein calculating the cost differential is based on a complex time-of-use tariff.

13. A computer-implemented method as in Claim 7, wherein calculating the cost differential includes decomposing the cost differential into multiple cost drivers.

14. A computer-implemented method as in Claim 7, wherein outputting the cost differential includes graphically depicting cost differential components that comprise the cost differential during a time period.

15. A computer-implemented method as in Claim 7, wherein outputting the cost differential includes saving the comparison in a library for use as a cost differential.

16. A computer program product for estimating and optimizing cost savings for large scale deployments using load profile optimization, the computer program product including:
a computer readable storage medium storing computer executable program code that, when executed by a processor, causes the computer executable program code to perform a method including the steps of:
receiving, via a user interface, selections of a primary load profile and a secondary load profile, wherein the secondary load profile is a combination of currently metered constituent load profiles;
inputting the primary load profile from a first external source and the secondary load profile from a second external source;
comparing the primary load profile with the secondary load profile, wherein the secondary load profile is synchronized with the combination of currently metered constituent load profiles; and outputting the comparison of the primary load profile and the secondary load profile via the user interface.

17. A computer program product as in Claim 16, wherein the primary load profile is a currently metered load profile.

18. A computer program product as in Claim 16, wherein the secondary load profile is based on one of text entered by a system user and calculations based on measurements of the metered constituent load profiles made by the computer executable program code.

19. A computer program product as in Claim 16, wherein the first external source is the same as the second external source.

20. A computer program product as in Claim 16, wherein the comparison includes a cost differential based on the comparison of the primary load profile with the secondary load profile.