KR20150098274A - Apparatus for retail energy management and method therefor - Google Patents
Apparatus for retail energy management and method therefor Download PDFInfo
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- KR20150098274A KR20150098274A KR1020140019130A KR20140019130A KR20150098274A KR 20150098274 A KR20150098274 A KR 20150098274A KR 1020140019130 A KR1020140019130 A KR 1020140019130A KR 20140019130 A KR20140019130 A KR 20140019130A KR 20150098274 A KR20150098274 A KR 20150098274A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
Description
The present invention relates to an energy management system (EMS), and more particularly, to an apparatus and method for retail store energy management for a franchise business.
Many households and businesses in our neighborhood are consuming power from many appliances, so many companies are producing a variety of ideas and products that can enhance energy efficiency in line with green IT policies. Among them, various attempts have been made to develop an energy saving algorithm and apply it to real life. In particular, the Energy Management System (EMS) is widely applied in building automatic control systems. Korean Patent Publication No. 10-2009-0066107 is a representative example.
Such an energy management system is applied only to a unit building such as a building or a single company, but is not applied to a franchise business that maintains a plurality of retail stores. In order to apply the conventional energy management system, a single retailer, which is a merchant, must directly apply the energy management system. Due to the nature of the franchise business, there is a limitation in using the energy management system by the retailer itself due to the cost burden and management.
KEPCO sets the maximum range of electricity that customers can use electricity contracts with customers. This is called contract power, and if the power exceeds the contracted power, a penalty fee is imposed on the customer. Therefore, small retailers such as franchisees should use the appropriate contract power. If the contracted power is excessively high, it can pay more electricity than the actual amount of electricity used, and if the contracted power is set too low, it can be charged by the penalty fee.
Therefore, it is necessary to manage the franchise business to increase the energy efficiency of the retailers, which are franchisees, at the head office level. In particular, in most franchise businesses, the head office supports 50% of the fares of the franchisees, and franchisees such as 24-hour convenience stores differ in the portion of the cost of the electricity charges. There is a need for an energy management system that can reduce the burden.
SUMMARY OF THE INVENTION It is an object of the present invention to provide a device and a method for retail energy management for saving energy of a head office and an affiliate in a franchise business or the like.
Other objects and advantages of the present invention will become apparent from the following description, and it will be understood by those skilled in the art that the present invention is not limited thereto. It will also be readily apparent that the objects and advantages of the invention may be realized and attained by means of the instrumentalities and combinations particularly pointed out in the appended claims.
According to an aspect of the present invention, there is provided an apparatus for managing energy of at least one or more retail stores, the apparatus comprising: An information receiving unit for receiving the information; A plan generating unit for generating a dimming value plan corresponding to the retail store based on the information received by the information receiving unit; And a plan transmission unit transmitting the dimming value plan generated by the plan generation unit to the retail store controller of the retail store.
The information receiving unit may further receive brightness step information, which is preference information of a store owner of the retail store, and the plan generating unit may modify the dimming value plan using the brightness step information.
The type information of the retail store is information on daylight or non-daylight, and the dimming value plan may include a dimming value by time zone.
Wherein the information receiving unit further receives the recommended temperature and the past execution temperature of the retail store and the plan generating unit further generates the guide temperature using the recommended temperature and the past execution temperature of the retail store, The guide temperature and the recommended temperature to the retail store controller.
The plan generating unit may generate the guide temperature for each time period by averaging the execution temperature and the recommended temperature in the past time period.
The plan generating unit may calculate the execution temperature for each past time period by weighted averaging the execution temperatures for the same period of time in the past period.
Wherein the information receiving unit further receives information on the power consumption amount of the retail store, and the apparatus calculates a sum of the cumulative power consumption from the first day to the previous day and a value obtained by multiplying the power consumption amount of each day by the number of remaining days of the month, And a usage predicting unit for predicting the amount of electricity consumed during one month of the retail store.
The usage predicting unit may calculate a power usage amount of each day of the week by weighted averaging the power usage amount of the same day during a certain period in the past.
Wherein the information receiver further receives the area of each retail store, the rated power consumption and the number of payment data, and the device calculates the similarity score of each retail store using the area of each retail store, the rated power consumption and the number of payment data, And a retail store comparison unit comparing the retail stores using the calculated similarity score of each retail store.
According to another aspect of the present invention, there is provided an apparatus for a retail store communicating with a server, the apparatus comprising: a server for receiving information about a time to / from which the mobile terminal emits the dwell time, type information of the retail store, A communication unit receiving the dimming value plan corresponding to the retail point generated based on the dimming value plan; And an energy control unit for controlling illumination of the retail store using the dimming value plan.
The apparatus of the retail store includes an information receiving unit for receiving weather forecast information; And a plan determining unit for determining a final dimming value plan by modifying the dimming value for each time period included in the dimming value frame using the weather forecast information.
The plan determining unit subtracts a predetermined value from the dimming value during a clear weather time period, and adds a constant value to the dimming value during the other weather time periods.
And the communication unit further includes a plan determining unit that receives the recommendation temperature and the guide temperature by time slot from the server and the apparatus of the retail store determines the operation mode of cooling or heating using the guide temperature and the recommended temperature can do.
Wherein the plan determining section determines the cooling mode when the guide temperature is higher than the recommendation temperature and determines the heating mode when the guide temperature is lower than the recommendation temperature and the energy control section determines the heating / Can be performed.
The apparatus of the retail store may further include: a power amount receiving unit for receiving a power consumption amount of the retail store; And a peak control unit for setting a moment when the instantaneous power is greater than the contracted power as a reference time and performing a peak notification when the instantaneous power equal to or higher than the contracted power is measured within a predetermined time after the reference time.
According to another aspect of the present invention, there is provided a method of managing energy of at least one retail store in a server, the method comprising: Receiving value information; Generating a dimming value plan corresponding to the retail store based on the received information; And transmitting the generated dimming value plan to the retail store controller of the retail store.
The receiving step may include receiving brightness step information, which is preference information of a store owner of the retail store, and the generating step may modify the dimming value plan using the brightness step information.
The method includes receiving a recommendation temperature and a past run temperature of the retail store; Generating a guide temperature using the recommended temperature and the past run temperature of the retail store; And transmitting the guide temperature and the recommended temperature to the retail store controller.
In the step of generating the guide temperature, a guide temperature for each time period is generated by averaging the execution temperature and the recommended temperature for each past time period.
The step of generating the guide temperature calculates the execution temperature for each past time period by weighted averaging the execution temperatures for the same time period in a past predetermined period.
The method includes: receiving information on power consumption of the retail store; And a step of summing up the cumulative power usage from the first day to the previous day and a value obtained by multiplying the power usage amount of each day by the number of remaining days of the month to predict the power consumption for one month of the retail store.
The predicting step calculates a power usage amount for each day of the week by weighted averaging the power usage amount of the same day during a certain period in the past.
The method includes receiving an area of each retail store, a rated power consumption, and a number of payment data; And calculating the similarity score of each retail store using the area, the rated power consumption, and the number of settlement data of each retail store, and comparing the retail stores using the calculated similarity score of each retail store.
According to another aspect of the present invention, there is provided a method of performing energy management by communicating with a server in a device of a retail store, the method comprising the steps of: Receiving a dimming value plan corresponding to the retail point generated based on basic dimming value information based on the type information; And controlling illumination of the retail store using the dimming value plan.
The method includes receiving weather forecast information; And determining a final dimming value plan by modifying the dimming value for each time period included in the dimming value plan using the weather forecast information.
The step of determining the final dimming value plan subtracts a constant value from the dimming value during a clear weather time period and adds a constant value to the dimming value during the other weather time periods.
The method includes receiving an advisory temperature and a guide temperature by time slot from the server; Determining an operation mode of cooling or heating using the guide temperature and the recommended temperature; And performing cooling and heating control based on the guide temperature.
The step of determining the operation mode may include determining the cooling mode when the guide temperature is higher than the recommended temperature and determining the heating mode when the guide temperature is lower than the recommended temperature.
The guide temperature for each time period is generated by averaging the execution temperature and the recommended temperature for the past time period.
The method includes: receiving power usage of the retail store; And setting a moment when the instantaneous power is greater than the contracted power as a reference time and performing a peak notification when instantaneous power equal to or higher than the contracted power is measured within a predetermined time after the reference time.
The present invention can reduce the energy usage fee of the head office and the franchisee operating the franchise business.
In addition, the present invention can reduce the cost and human burden of the franchisee's own energy management by managing the energy of the retailer, which is a franchisee, at the head office of the franchise business, thereby enabling the activation of the franchise business.
1 is a diagram illustrating a configuration of a retail store energy management system according to an embodiment of the present invention.
2 is a diagram illustrating a configuration of a REMS server according to another embodiment of the present invention.
3 is a diagram illustrating a configuration of a retail store according to an embodiment of the present invention.
4 is a diagram illustrating a configuration of a retail shop according to another embodiment of the present invention.
5 is a diagram illustrating a configuration of a REMS server according to another embodiment of the present invention.
6 is a flowchart illustrating a method of controlling lighting of a retail store in a retail store energy management system according to an embodiment of the present invention.
7 is a flowchart illustrating a method for controlling cooling and heating of a retail store in a retail store energy management system according to an embodiment of the present invention.
8 is a flowchart illustrating an energy control method of a retail store controller according to an embodiment of the present invention.
9 is a flowchart illustrating a method of analyzing a similar retail store in a REMS server according to an embodiment of the present invention.
The foregoing and other objects, features and advantages of the present invention will become more apparent from the following detailed description of the present invention when taken in conjunction with the accompanying drawings, in which: There will be. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. Hereinafter, a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.
1 is a diagram illustrating a configuration of a retail store energy management system according to an embodiment of the present invention.
Referring to FIG. 1, the retail store energy management system according to the present embodiment includes a retail energy management system (REMS)
The
The
In addition, the
In addition, the
Also, the
The
As shown in FIG. 1, a
The
The
The dimmer 140 is an illumination control means for controlling the illumination, and controls the lighting in the retail store to a predetermined brightness in accordance with the control command of the
The
The
Hereinafter, the present invention will be described more specifically with reference to the drawings.
2 is a diagram illustrating a configuration of a REMS server according to another embodiment of the present invention.
Referring to FIG. 9, the
- Lighting control -
The
The
In addition, the
The
The
- Temperature control -
The
The
The
The
Specifically, the
(1)
The weighted average value of the execution temperatures of the specific time in the past = (α 1 × the same time zone execution temperature + α 2 × 2 days before the same time zone execution temperature + α 3 × 3 days before the same time zone execution temperature).
Here, α 1 ≥α 2 ≥α 3 , for example, α 1 = 0.6, α 2 = 0.3, and α 3 = 0.1. That is, to give a higher weight to the temperature of the nearest day.
The
- Plan transmission -
The
The
3 is a diagram illustrating a configuration of a retail store according to an embodiment of the present invention.
3, the
The
The
- Lighting control -
The
It is preferable that the
The
The
The
The
- Heating and cooling control -
The
The
4 is a diagram illustrating a configuration of a retail shop according to another embodiment of the present invention.
In Fig. 4, the same reference numerals as those in Fig. 3 denote all the functions and operations described with reference to Fig. The
Contract power can be expressed as the maximum power demanded by the electricity user from the electricity supplier. For example, any user entering into a power contract with a power supplier with a contracted power of 30 kW is a bilateral contract that the user will not use any power exceeding 30 kW in any case. Under these contracts, the electricity supplier will have enough power to supply the user with up to 30kW of power. In this way, the electricity supplier and the electric user make a power contract based on the maximum usage power. If the user uses electricity exceeding this contract, the contract power, the electricity supplier charges the supplement. This additional amount is an overage use charge.
The contracted power means the maximum demand power at the instantaneous maximum power that the electric user can use the maximum. Although the contracted power means the instantaneous maximum power, that is, the maximum demanded power, it is very disadvantageous for the user to judge the instantaneous maximum power, that is, the maximum demanded power, with the instantaneous value of the used power, Therefore, in most countries, a fixed demand time (ie, a reference demand time) is set and the maximum demand power is determined by the average power during that time, and 15 minutes is set as the reference demand time in the domestic and most countries. As a result, the maximum demand power in the period of one month refers to the highest value among the 15-minute average power during that month, and the electricity supplier has the contract power in the period of one month, that is, power exceeding the maximum demand power Charges are levied if usage occurs. Therefore, it is necessary to control the maximum demand power.
The power
The
Specifically, the
When the
5 is a diagram illustrating a configuration of a REMS server according to another embodiment of the present invention.
In FIG. 5, the same reference numerals as in FIG. 2 denote all the functions and operations described with reference to FIG. The
The
The
(2)
Here, α 1 ≥α 2 ≥α 3 , for example, α 1 = 0.7, α 2 = 0.2, and α 3 = 0.1. That is, a higher weight is given to the usage amount of a nearby date.
The power saving
(3)
Here, the past power consumption may be the weighted average of the power consumption of the past three years as the power consumption before the system of the present invention is introduced. In the past, the lighting power consumption can be calculated by multiplying the power consumption by the operating time when the lighting is 100% on. The number of lights installed at the retail store, and the operating hours of the retail store.
In the past, the heating and cooling power consumption can be calculated by subtracting the power consumption of the non-control area and the past lighting consumption from the past total power consumption. The power consumption of the uncontrolled area can be calculated by subtracting the amount of lighting and heating and cooling power consumption for the current month from the current month, assuming that the past, present and future are constant. Lighting and heating and cooling power consumption of this month can be measured separately by smart meter by introduction of this system.
The power saving
The retail
Similarity score =? 1 ? A? +? 2 ? P? +? 3 ? C '
Here, α 1 , α 2 , α 3 are, for example, α 1 = 0.3, α 2 = 0.5, and α 3 = 0.3 as weight values. A 'is the normalized area of the retail store, P' is the normalized rated power consumption of the retail store, and C 'is the number of normalized daily average POS data for the retail store. For example, if there are four retail stores and the area of each retail store is as shown in Table 4, the normalized area can be obtained by the following equation.
The normalized areas of A, B, C, and D retail stores are calculated according to the above equations as shown in [Table 5].
The normalized rated power consumption and the daily average POS data count for each retail store can be obtained by obtaining the above normalized area.
The retail
6 is a flowchart illustrating a method of controlling lighting of a retail store in a retail store energy management system according to an embodiment of the present invention.
Referring to FIG. 6, in step S601, the
In step S603, the
In step S605, the
In step S607, the
In step S609,
In step S611,
In step S613, the
In the above-described embodiment with reference to FIG. 6, the preference information of the shop owner is not reflected. However, lighting control can be performed by reflecting the preference information of the store owner. That is, the
7 is a flowchart illustrating a method for controlling cooling and heating of a retail store in a retail store energy management system according to an embodiment of the present invention.
Referring to FIG. 7, in step S701, the
In step S703, the
In step S705, the
In step S707, the
In step S709, the
In step S711, the
In the above-described embodiment with reference to FIG. 7, the preference information of the store owner is not reflected. However, the air conditioner can be controlled by reflecting the preference information of the store owner. The
8 is a flowchart illustrating an energy control method of a retail store controller according to an embodiment of the present invention.
Referring to FIG. 8, in step S801, the
In step S803, the
In step S805, the
If instantaneous power equal to or greater than the contracted power is measured between 5 minutes and 10 minutes after the reference time, the
Also, in step S809, the
If instantaneous power equal to or higher than the contracted power is measured within 10 minutes to 15 minutes after the reference time, the
9 is a flowchart illustrating a method of analyzing a similar retail store in a REMS server according to an embodiment of the present invention.
Referring to FIG. 9, in step S901, the
In step S903, the
Similarity score =? 1 ? A? +? 2 ? P? +? 3 ? C '
Here, α 1 , α 2 , α 3 are, for example, α 1 = 0.3, α 2 = 0.5, and α 3 = 0.3 as weight values. A 'is the normalized area of the retail store, P' is the normalized rated power consumption of the retail store, and C 'is the number of normalized daily average POS data for the retail store.
In step S905, the
The similarity of these retail stores can be used for comparison of power consumption between similar retail stores, comparison of power saving rate, or recommendation of contract power. The
The method of the present invention as described above may be embodied as a program and stored in a computer-readable recording medium (such as a CD-ROM, a RAM, a ROM, a floppy disk, a hard disk, or a magneto-optical disk).
While the specification contains many features, such features should not be construed as limiting the scope of the invention or the scope of the claims. In addition, the features described in the individual embodiments herein may be combined and implemented in a single embodiment. Conversely, various features described in the singular < Desc / Clms Page number 5 > embodiments herein may be implemented in various embodiments individually or in combination as appropriate.
It is to be understood that, although the operations have been described in a particular order in the figures, it should be understood that such operations are performed in a particular order as shown, or that a series of sequential orders, or all described operations, . In some circumstances, multitasking and parallel processing may be advantageous. It should also be understood that the division of various system components in the above embodiments does not require such distinction in all embodiments. The above-described program components and systems can generally be implemented as a single software product or as a package in multiple software products.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention. The present invention is not limited to the drawings.
110: REMS server 120: Retail store manager
130: POS terminal 140: dimmer
150: Meter 160: Heating /
210: Information receiving unit 230:
250: Plan generating unit 260: Plan transmitting unit
Claims (32)
An information receiving unit for receiving basic daylighting time information, type information of the retail store, and basic dimming value information based on the type information of the retail store;
A plan generating unit for generating a dimming value plan corresponding to the retail store based on the information received by the information receiving unit; And
And a plan transmission unit transmitting the dimming value plan generated by the plan generation unit to the retail store controller of the retail store.
Wherein the information receiver further receives brightness level information, which is preference information of a store owner of the retail store,
Wherein the plan generating unit modifies the dimming value plan using the brightness level information.
The type information of the retail store is information on daylight or non-daylight,
Wherein the dimming value plan includes a dimming value by time slot.
Wherein the information receiving unit further receives the recommended temperature and the past execution temperature of the retail store,
Wherein the plan generating unit further generates the guide temperature using the recommended temperature and the past execution temperature of the retail store,
Wherein the plan transmission unit further transmits the guide temperature and the recommended temperature to the retail store controller.
The plan generating unit generates,
And the guide temperature for each time period is averaged to generate the guide temperature for each time period.
The plan generating unit generates,
And the execution temperature for the past time period is calculated by weighted averaging the execution temperatures for the same time period in the past period.
Wherein the information receiving unit further receives information on the power consumption of the retail store,
And a usage predicting unit for summing a value obtained by multiplying the cumulative power consumption from the first day to the previous day and a value obtained by multiplying the electricity consumption amount of each day by the number of remaining days of the month to predict the electricity consumption amount for one month of the retail outlet .
The usage-
And calculates a power usage amount of each day of the week by weighted averaging the power usage amount of the same day during a certain period in the past.
Wherein the information receiver further receives an area of each retail store, a rated power consumption, and a number of payment data,
And a retail store comparison unit for calculating the similarity score of each retail store using the area of each retail store, the rated power consumption, and the number of settlement data, and comparing the calculated retail store with the calculated similarity score of each retail store.
A communication unit for receiving from the server a dimming value plan corresponding to the retail point generated based on the daylighting time information, the type information of the retail store, and the basic dimming value information based on the type information of the retail store; And
And an energy control unit for controlling illumination of the retail store using the dimming value plan.
An information receiving unit for receiving weather forecast information; And
And a plan determining unit for determining a final dimming value plan by correcting the dimming value for each time period included in the dimming value plan using the weather forecast information.
Wherein the plan determination unit comprises:
Wherein the predetermined value is subtracted from the dimming value in the time zone of the clear weather and a constant value is added to the dimming value in the time zone of the other weather.
Wherein the communication unit further receives the recommended temperature and the guide temperature for each time period from the server,
And a plan determining unit that determines an operation mode of cooling or heating using the guide temperature and the recommended temperature.
Wherein the plan determining section determines the cooling mode when the guide temperature is higher than the recommended temperature and determines the heating mode when the guide temperature is lower than the recommended temperature,
Wherein the energy control unit performs cooling and heating control based on the guide temperature.
The guide temperature for each time period is,
And averaging the past execution time temperature and the above recommended temperature.
A power amount receiving unit for receiving a power consumption amount of the retail store; And
Further comprising a peak control unit for setting a moment when instantaneous power equal to or higher than a contracted power is set as a reference time and performing a peak notification when instantaneous power equal to or higher than the contracted power is measured within a predetermined time after the reference time.
Receiving the basic dimming value information based on the daylighting time information, the type information of the retail store, and the type information of the retail store;
Generating a dimming value plan corresponding to the retail store based on the received information; And
And transmitting the generated dimming value plan to the retail store controller of the retail store.
Wherein the receiving step includes receiving brightness level information, which is preference information of a store owner of the retail store,
Wherein the generating comprises modifying the dimming value plan using the brightness step information.
The type information of the retail store is information on daylight or non-daylight,
Wherein the dimming value plan includes a dimming value by time slot.
Receiving a recommendation temperature and a past execution temperature of the retail store;
Generating a guide temperature using the recommended temperature and the past run temperature of the retail store; And
And transmitting the guide temperature and the recommended temperature to the retail store controller.
Wherein the step of generating the guide temperature comprises:
Wherein the guide temperature for each time period is generated by averaging the past execution time temperature and the recommended temperature.
Wherein the step of generating the guide temperature comprises:
Wherein the execution temperature for the past time period is calculated by weighted averaging the execution temperatures for the same time period in the past period.
Receiving information on power consumption of the retail store; And
And cumulatively multiplying the cumulative power usage from the first day to the previous day by a value obtained by multiplying the amount of power used by the past day by the number of days remaining in the month to predict the power usage for the month of the retailer.
Wherein the predicting comprises:
Wherein the power consumption of each day of the week is calculated by weighted averaging the power consumption of the same day during a certain period of time in the past.
Receiving an area of each retail store, a rated power consumption, and a number of payment data; And
Calculating a similarity score of each retail store using the area of each retail store, the rated power consumption, and the number of settlement data, and comparing the retail stores using the calculated similarity score of each retail store.
Receiving, from the server, a dimming value plan corresponding to the retail point generated based on the information on the daytime running time, the type information of the retail point, and the basic dimming value information based on the type information of the retail point; And
And controlling illumination of the retail store using the dimming value plan.
Receiving weather forecast information; And
And correcting the dimming value for each time period included in the dimming value plan using the weather forecast information to determine a final dimming value plan.
Wherein determining the final dimming value plan comprises:
Wherein a constant value is subtracted from a dimming value in a time zone of clear weather, and a constant value is added to a dimming value in a time zone of other weather.
Receiving a recommendation temperature and a guide temperature for each time period from the server;
Determining an operation mode of cooling or heating using the guide temperature and the recommended temperature; And
And performing cooling and heating control based on the guide temperature.
Wherein the determining of the operation mode includes determining the cooling mode when the guide temperature is higher than the recommended temperature and determining the heating mode when the guide temperature is lower than the recommended temperature.
The guide temperature for each time period is,
And the average of the execution temperature and the recommended temperature in the past time period.
Receiving power consumption of the retail store; And
Setting a moment when instantaneous power equal to or higher than the contracted power is measured as a reference time, and performing a peak notification when instantaneous power equal to or higher than the contracted power is measured within a predetermined time after the reference time.
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| KR1020140019130A KR101627804B1 (en) | 2014-02-19 | 2014-02-19 | Apparatus for retail energy management and method therefor |
| PCT/KR2015/001431 WO2015126099A1 (en) | 2014-02-19 | 2015-02-12 | Apparatus and method for managing energy of retail store |
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| KR1020140019130A KR101627804B1 (en) | 2014-02-19 | 2014-02-19 | Apparatus for retail energy management and method therefor |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR20200042746A (en) * | 2018-10-16 | 2020-04-24 | 서우엠에스 주식회사 | EMS service system for energy saving in small-scale store-based cloud |
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| KR102552394B1 (en) * | 2019-08-29 | 2023-07-07 | 주식회사 케이티 | Server, method and computer program for providing guide to water usage amount from water supply system |
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| KR20130035577A (en) * | 2011-09-30 | 2013-04-09 | 주식회사 케이티 | Method for supporting optimization of building energy consumption based on situational awareness and system therefor |
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| JP2002295940A (en) * | 2001-03-30 | 2002-10-09 | Sanyo Electric Co Ltd | Remote monitoring system of apparatus in shop |
| US20090066107A1 (en) | 2007-09-10 | 2009-03-12 | Honda Motor Co., Ltd. | Door lining for a vehicle door |
| KR20100117409A (en) * | 2009-04-24 | 2010-11-03 | 성균관대학교산학협력단 | Building environmental control system and method through internet network |
| KR20130035577A (en) * | 2011-09-30 | 2013-04-09 | 주식회사 케이티 | Method for supporting optimization of building energy consumption based on situational awareness and system therefor |
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| KR101627804B1 (en) | 2016-06-08 |
| WO2015126099A1 (en) | 2015-08-27 |
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