KR20210065793A - Supplier recommendation method based on sub-metering data - Google Patents

Abstract

The present invention relates to a supplier recommendation method based on submetering data. More specifically, the supplier recommendation method, by a platform server for recommending a supplier that provides at least one of an energy efficiency facility, an energy management system, and an energy diagnosis consulting service to a demand that requires supplier recommendation, comprises: (1) a step of collecting submetering data, which is actual measurement data for each facility, from the demand; (2) a step of providing the collected submetering data to the supplier; (3) a step of analyzing an energy efficiency proposal and the collected submetering data received from the supplier; and (4) a step of recommending an optimized supplier suitable for the demand using the analysis result. According to the supplier recommendation method based on the submetering data proposed in the present invention, a supplier can reduce operating costs and provide optimal solutions using real data by analyzing the analysis result of submetering data, which is actual measurement data for each facility, and the energy efficiency proposal of the supplier and recommending an optimized supplier suitable for the demand that requires supplier recommendation. Through a recommendation based on quantitative analysis of the situation of the demand and the energy efficiency proposal of the supplier, the reliability of supplier recommendation can be increased. It is possible to predict the investment effect on the facility investment by quantifying the ROI (Return On Investment) of the demand, thereby improving satisfaction.

Description

SUPPLIER RECOMMENDATION METHOD BASED ON SUB-METERING DATA

The present invention relates to a supplier recommendation method, and more particularly, to a supplier recommendation method based on submetering data.

In Korea, which is highly dependent on foreign countries for energy resource supply and demand, consumption of imported energy has not decreased but is increasing despite the ultra-high oil price exceeding $100 per barrel. Considering this situation, the development of technology related to the efficiency of energy consumption is developing as a very important technology field. For example, in energy saving, a technology for saving energy in a building and a technology for accurately calculating the amount of savings are being developed.

Currently, many actions (Energy Performance Improvement Action) for improving the energy performance of a building are applied to save energy. Many programs are being developed to quantitatively and qualitatively grasp the energy saved from such energy performance improvement activities and to provide indicators for more efficient consumption and management of energy consumed in buildings.

In addition, suppliers that provide energy efficiency facilities, energy management systems, energy management programs, etc. make it possible to increase energy efficiency by providing such products or services to consumers who need energy efficiency such as various types of factories and buildings.

However, in the existing energy efficiency market, there is a problem of low market efficiency due to excessive network costs (operating costs) between the demand and supply sources. More specifically, it is difficult for the demander to select the supplier because the technology of the supplier is diverse and the information on the construction cost or performance is not clear. In addition, since it is difficult for the supplier to accurately identify the characteristics of the consumer, sales and market expansion to the consumer are not easy, which leads to excessive operating costs, which increases the purchasing cost of the consumer. Therefore, there is a need to develop technologies to reduce network costs, revitalize the market, and spread energy efficiency through efficiency in the energy efficiency market.

On the other hand, as prior art related to the present invention, Patent Publication No. 10-2017-0035261 (Title of the Invention: Method and Apparatus for Evaluating Building Energy Efficiency, Publication Date: March 30, 2017), Registered Patent No. 10-1931964 (Title of the invention: method of deriving energy savings through energy performance improvement action, announcement date: March 20, 2019) and the like have been disclosed.

The present invention has been proposed to solve the above problems of the previously proposed methods, and by analyzing the analysis result of submetering data, which is actual measurement data for each facility, and the energy efficiency suggestion of the supplier, By recommending a suitable and optimized supplier, the supplier can reduce operating costs and provide an optimal solution using actual data. Recommendation based on quantitative analysis of the situation of the consumer and the energy efficiency proposal of the supplier, the reliability of the supplier recommendation The purpose of this is to provide a supplier recommendation method based on submetering data that can increase customer satisfaction and improve satisfaction by predicting the investment effect on facility investment by quantifying the ROI (Return On Investment) of the customer. do.

A supplier recommendation method based on submetering data according to a feature of the present invention for achieving the above object,

As a supplier recommendation method,

A platform server that recommends a supplier that provides at least one of an energy efficiency facility, an energy management system, and an energy diagnosis consulting service to a demand that requires a supplier recommendation,

(1) collecting submetering data, which is actual measurement data for each facility, from the demand source;

(2) providing the collected submetering data to a supplier;

(3) analyzing the energy efficiency proposal received from the supplier and the collected submetering data; and

(4) using the analysis result, it is characterized in that it includes the step of recommending an optimized supplier suitable for the consumer.

Preferably, in step (2),

The collected submetering data may be provided to the supplier, but may be provided as non-identifying data that cannot be identified by an individual consumer.

Preferably, in step (2),

The submetering data classified into at least one of the equipment type, industry type, and rating may be provided to the supplier.

Preferably, in step (4),

By using the result of analyzing the return on investment (ROI) for energy efficiency improvement of the supplier, it is possible to recommend an optimized supplier suitable for the demand.

More preferably, in step (4),

The performance of the energy efficiency improvement of the supplier is tracked, and an optimized supplier suitable for the demand can be recommended using the result of tracking and analyzing the energy efficiency method for each facility and the performance of the energy efficiency facility.

Preferably, before step (4),

(0) further comprising the step of receiving an energy efficiency request from the demand,

In the step (4), by matching the energy efficiency improvement request of the consumer in step (0) and the energy efficiency improvement proposal of the supplier analyzed in the step (3), an optimized supplier suitable for the demand can be selected and recommended. .

Preferably, after step (3),

(5) using the analysis result, it may further include the step of providing an energy efficiency improvement plan to the consumer.

More preferably, the step (4) comprises:

(4-1) selecting at least two suppliers based on the analysis result of step (3); and

(4-2) may include a step of recommending a combination of at least two or more of the selected suppliers.

Even more preferably, the step (5) comprises:

(5-1) deriving an optimized energy efficiency improvement plan by combining the energy efficiency improvement proposals of at least two suppliers selected in the step (4-1); and

(5-2) may include providing the derived optimized energy efficiency plan to the consumer.

Preferably, after step (4),

(6) analyzing the energy efficiency results of each supplier, calculating a score for each supplier, and further comprising the step of giving a ranking according to the calculated score,

A supplier may be recommended by using at least one of the analysis result, score, and rank of each supplier in step (6).

According to the supplier recommendation method based on the submetering data proposed in the present invention, the analysis result of analyzing submetering data, which is actual measurement data for each facility, and the energy efficiency proposal of the supplier are analyzed, and the supplier recommendation is optimized according to the demand. By recommending the source of supply, the supplier can reduce operating costs and provide an optimal solution using actual data, and increase the reliability of the supplier recommendation by making a recommendation based on quantitative analysis of the situation of the consumer and the energy efficiency proposal of the supplier. , it is possible to improve satisfaction by quantifying the ROI (Return On Investment) of the demanding party to predict the investment effect on facility investment.

1 is a view showing a conventional energy efficiency market.
2 is a diagram illustrating a platform for implementing a supplier recommendation method based on submetering data according to an embodiment of the present invention.
3 is a diagram illustrating a configuration of a platform for implementing a supplier recommendation method based on submetering data according to an embodiment of the present invention.
4 is a diagram illustrating a flow of a supplier recommendation method based on submetering data according to an embodiment of the present invention.
5 is a diagram illustrating a flow of recommending a supplier by receiving an energy efficiency request from a demander in a method for recommending a supplier based on submetering data according to an embodiment of the present invention.
6 is a diagram illustrating a detailed flow of step S400 for combining and recommending a plurality of suppliers in a method for recommending a supplier based on submetering data according to an embodiment of the present invention.
7 is a diagram illustrating a detailed flow of step S500 for deriving an energy efficiency method by combining a plurality of suppliers in a method for recommending a supplier based on submetering data according to an embodiment of the present invention.

Hereinafter, preferred embodiments will be described in detail so that those of ordinary skill in the art can easily practice the present invention with reference to the accompanying drawings. However, in describing the preferred embodiment of the present invention in detail, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. In addition, the same reference numerals are used throughout the drawings for parts having similar functions and functions.

In addition, throughout the specification, when a part is 'connected' with another part, it is not only 'directly connected' but also 'indirectly connected' with another element interposed therebetween. include In addition, "including" a certain component means that other components may be further included, rather than excluding other components, unless otherwise stated.

1 is a view showing a conventional energy efficiency market. As shown in FIG. 1, in the conventional energy efficiency market, there was a bidirectional information asymmetry between a demand source and a supplier. In other words, the supplier incurs excessive due diligence and operating expenses due to limited demand, and the cost increases due to inaccurate information. Such an increase in cost leads to an increase in cost to the consumer, resulting in excessive investment cost, and overlapping investment in EMS (Energy Management System). In addition, there was a problem in that it was difficult for the demander to secure an optimal solution because the technology of the supplier was diverse and the information on the construction cost or performance was not clear. As described above, according to the conventional energy efficiency market, both the demand and supply sources have suffered losses due to increased cost and potential loss of opportunity.

2 is a diagram illustrating a platform for implementing a supplier recommendation method based on submetering data according to an embodiment of the present invention. As shown in FIG. 2 , a platform for implementing the method for recommending a supplier based on submetering data according to an embodiment of the present invention is an energy efficiency platform. By sharing submetering data, which is actual measurement data for each facility, a supplier providing at least one of a management system and an energy diagnosis consulting service can resolve information asymmetry. In particular, the optimal supplier is recommended to the demander based on submetering data, which is actual measurement data, so that the consumer can easily select the supplier, and the supplier can compete with other suppliers based on quantitative data rather than relying on sales. More specifically, since the supplier can accurately target potential customers by identifying the characteristics of the demand, it is possible to expand the business with a small operating cost and reduce the supply price. In addition, consumers can obtain energy efficiency information for existing facilities, and can select the optimal solution and supplier, and prevent overlapping investment.

3 is a diagram illustrating a configuration of a platform for implementing a supplier recommendation method based on submetering data according to an embodiment of the present invention. As shown in FIG. 3 , the platform for implementing the method for recommending a supplier based on submetering data according to an embodiment of the present invention may be configured to include a platform server 100 , and a consumer terminal 200 . ) and the source terminal 300 may be configured.

The platform server 100 may recommend a supplier that provides at least one of an energy efficiency facility, an energy management system, and an energy diagnosis consulting service to a demand that requires a supplier recommendation. That is, the platform server 100 may share submetering data between a demand source and a supplier requiring energy efficiency while operating the energy efficiency platform, and recommend a supplier to the demander based on the analysis of the submetering data. In other words, the platform server 100 operates an energy efficiency platform, which is a multi-sided platform with a demand source and a supply source as users, and shares submetering data through the interaction between the demand source and the supplier to reduce information asymmetry. It can solve the problem and recommend the supplier to the demand.

Here, the sub-metering data, referred to as sub-metering or behind the meter, may mean actually measured data measured by equipment or systems for measuring power and energy for each facility other than the watt-hour meter managed by KEPCO. The supplier recommendation method based on submetering data according to an embodiment of the present invention uses submetering data, which is objective and quantitative data, as actual measurement data for each facility, so reliability based on objective and quantitative data A high supplier recommendation can be made.

Therefore, the energy efficiency platform operated by the platform server 100 enables online sharing of the submetering data of the demand source, thereby resolving information asymmetry and improving the efficiency of the energy efficiency market, O2O (Online) to Offline) platform. The platform server 100, using such an O2O platform, recommends a supplier to a consumer, and matches the recommended supplier with a consumer so that energy efficiency can be achieved in the consumer according to the request of the consumer.

The consumer terminal 200 may be a consumer terminal that requires energy efficiency. Demanders may be factories and buildings of various types, and may be classified by industry type and size. In the case of the same industry, similar facilities may be possessed, or facilities generally possessed by factories and buildings may exist. The consumer may connect to the energy efficiency platform operated by the platform server 100 using the consumer terminal 200 and receive a recommendation from a supplier optimized for the consumer. In addition, it is possible to receive the energy efficiency improvement plan of other consumers in the similar industry, the result thereof, and the energy efficiency improvement plan, and to request the necessary energy saving plan.

The supplier terminal 300 may be a supplier terminal that provides at least one of an energy efficiency facility, an energy management system, and an energy diagnosis consulting service. The supplier uses the supplier terminal 300 to access the energy efficiency platform operated by the platform server 100, and receives the submetering data of the consumer or the analysis data that the platform server 100 analyzes the submetering data to receive the industry or It is possible to provide energy efficiency proposals that are optimized to the consumers and target potential customers. Here, the supplier terminal 300 can directly download and use the submetering data, but can also check it online, and also download or check the analysis data of the platform server 100 online.

Meanwhile, the consumer terminal 200 and the supplier terminal 300 may access an energy efficiency platform operated by the platform server 100 through a network. Here, the network is a wired network such as a local area network (LAN), a wide area network (WAN) or a value added network (VAN), or a mobile radio communication network, a satellite communication network, It may be implemented in all kinds of wireless networks such as Bluetooth, Wireless Broadband Internet (Wibro), High Speed Downlink Packet Access (HSDPA), Long Term Evolution (LTE), 5th Generation Mobile Telecommunication (5G), and the like.

In the supplier recommendation method based on submetering data according to an embodiment of the present invention, the platform server 100 operates an energy efficiency platform to provide submetering data, which is actual measurement data for each facility of the consumer, to the supplier, It is possible to receive a proposal for energy efficiency through efficiency analysis based on metering data from the supplier and analyze it, and use the analysis result to recommend an optimized supplier for the demand. In addition, the platform server 100 can suggest energy efficiency to the demanding party using the analysis result, and by referring to the case of the demanding party and the same industry, the demanding party can improve energy efficiency, thereby increasing the reliability of the energy efficiency improvement plan and increasing the energy efficiency Efficiency can spread.

On the other hand, in the energy efficiency platform operated by the platform server 100, by sharing data between the demanding and supplying sources, and matching the demanding and supplying sources through supplier recommendation, solutions of various suppliers can be provided to the demanding parties, and the demanders are optimal By choosing a solution, low-efficiency companies among suppliers can be expelled and costs can be lowered, creating a virtuous cycle in the energy-efficient market.

Table 1 shows the functions of the energy efficiency platform operated by the platform server 100 in comparison with the existing method in the supplier recommendation method based on submetering data according to an embodiment of the present invention. As can be seen in Table 1, if the energy efficiency platform (O2O platform) operated by the platform server 100 is used, the existing direct marketing type of energy efficiency market is changed, and inconveniences and requirements of consumers and suppliers are reduced. It can solve the problem, expand the energy efficiency market and create a new market.

4 is a diagram illustrating a flow of a supplier recommendation method based on submetering data according to an embodiment of the present invention. As shown in FIG. 4 , in the method for recommending a supplier based on submetering data according to an embodiment of the present invention, at least one of an energy efficiency facility, an energy management system, and an energy diagnosis consulting service to a demand that requires a supplier recommendation. The platform server 100 that recommends a supplier that provides a step (S100) of collecting submetering data that is actual measurement data for each facility from a source of demand (S100), a step of providing the collected submetering data to a source of supply (S200), receiving from the source It may be implemented including a step (S300) of analyzing one energy efficiency proposal and the collected submetering data, and a step (S400) of recommending an optimized supplier for the demander using the analysis result, and after step S300, the analysis A step (S500) of providing an energy efficiency improvement plan to the demanding party using the result and the step (S600) of calculating a score for each supplier by analyzing the energy efficiency result of each supplier, and assigning a rank according to the calculated score. can be

In step S100, submetering data, which is actual measurement data for each facility, may be collected from a demand source. More specifically, in step S100, the platform server 100 may store and manage the collected submetering data by tagging each equipment type and rating.

In step S200, the collected submetering data may be provided to a supplier. At this time, in step S200, the platform server 100 may provide the collected submetering data to the supplier, but may provide it as non-identified data that cannot be identified by the individual demander. Therefore, it is possible to prevent excessive disclosure of information of individual consumers, and to prevent transactions outside the energy efficiency platform through identification of suppliers of suppliers.

In addition, in step S200, the submetering data classified at least one of the equipment type, industry type, and rating type may be provided to the supplier. In addition, it is possible to provide necessary data by classifying the tagged submetering data according to the business field of the supplier. For example, if the supplier is a compressor company, it is possible to prevent unauthorized leakage of other data and to enable safe and efficient sharing of submetering data by providing submetering data for the compressor.

According to an embodiment, in step S200 , a search may be performed according to a search word or a classification category input from the demand or supply source, and the search data may be provided to the demand or supply source. In this case, in step S200, the search level may be set differently according to the authority of the demand or supply.

On the other hand, in step S200, the platform server 100 may provide submetering data analyzed by equipment, industry, and timekeeping to the supplier. For example, if the supplier is an energy efficiency company, the platform server 100 may provide the submetering data analyzed by analyzing energy monitoring data for various demanding sources and energy data for each facility of each demanding source to the supplier. In addition, when the supplier is an energy consulting company, data for energy consulting may be provided by analyzing submetering data.

In step S300, the energy efficiency proposal received from the supplier and the collected submetering data may be analyzed. That is, the supplier may upload the energy efficiency proposal to the energy efficiency platform operated by the platform server 100 by analyzing the submetering data provided in step S200, and in step S300, the platform server 100 is uploaded by the supplier Energy efficiency proposals can be analyzed.

In particular, in step S300, the energy efficiency proposal received from the supplier may be quantitatively analyzed based on the submetering data collected from the consumer in step S100. Therefore, since the energy efficiency proposal received from the supplier is quantitatively analyzed based on actual data, the energy efficiency proposal from the supplier can be objectively evaluated and the energy efficiency proposal from the supplier can be optimized for the corresponding demand. As described above, in step S300, since the energy efficiency proposal is quantitatively analyzed and evaluated using submetering data of the consumer, the reliability of the supplier recommendation in step S400, which will be described in detail below, can be increased.

In step S400, using the analysis result, it is possible to recommend an optimized supplier suitable for the consumer. In this case, there may be more than one supplier recommended in step S400, a combination of a plurality of suppliers may be recommended, a plurality of suppliers may be recommended to one consumer, or a single supplier may be recommended to a plurality of consumers. For example, in step S400, one supplier A that provides energy efficiency facilities, an energy management system, and an energy diagnosis consulting service may be recommended, but supplier A that provides energy efficiency facilities and supplier B provides an energy management system. , it is also possible to recommend a combination of supplier C that provides energy diagnosis consulting services. The configuration recommended by combining the suppliers in this way will be described in detail later with reference to FIG. 6 .

Meanwhile, in step S400 , an optimized supplier may be recommended according to the demand by using the result of analyzing the return on investment (ROI) for the energy efficiency improvement of the supplier.

More specifically, the platform server 100 may track and analyze the energy efficiency implementation of the supplier, and calculate the savings. In step S400, the supplier may be recommended by reflecting the previous energy efficiency implementation result of the supplier. The platform server 100 can settle the energy saving cost by tracking the efficiency result on the energy efficiency platform, check whether the supplier's energy efficiency proposal is consistent after execution of facility construction, etc., and evaluate the supplier or energy efficiency facility You can set the grade.

Here, the settlement means calculating the amount of savings before and after the efficiency improvement of the facility, and when the energy efficiency cost is pre-invested, the energy saving cost may be paid back. In addition, since the ROI can be calculated as an investment cost/reduction amount, the platform server 100 can calculate the ROI using the savings calculated in the fee settlement, and track and analyze the energy ROI result of the consumer.

More specifically, the amount of electricity cost savings means a reduction in electricity rates due to reduction in electricity consumption, and the amount of power savings and the amount of electricity savings may not be linear according to season and hourly rate systems. On the other hand, the amount of power saving may be set as a baseline for the amount of power consumption before the input of the efficiency facility, and the difference between the power usage after the input of the efficiency facility and the set standard may be calculated. Even in the same facility, power consumption varies throughout the year or hourly depending on the change in outdoor temperature, so the setting of the standard may be most reasonable when data for about a year is secured in consideration of seasonal variation in power usage, etc. For example, if there is a 30% difference in the hourly power usage of facilities in summer and winter, there is a big difference in the amount of power saved, the amount of electricity bill savings, and ROI depending on whether the standard is set in summer or winter. will do Therefore, for accurate ROI analysis, it is important to set a reference value of power usage.

In the supplier recommendation method based on submetering data according to an embodiment of the present invention, the platform server 100 sets a standard using data for about two weeks and calculates the expected savings. On the other hand, since the supplier can set an accurate baseline while obtaining long-term demand data through submetering data, the expected savings and ROI accuracy are increased, and efficiency proposals can be made based on the accurate standard setting, and the supplier can Based on long-term data, customers can be selectively selected.

In addition, in step S400, the performance of the energy efficiency improvement of the supplier is tracked, and an optimized supplier suitable for the demand can be recommended using the result of tracking and analyzing the energy efficiency method for each facility and the performance of the energy efficiency facility. have. That is, the platform server 100 not only tracks performance according to the entire site, but also individual equipment, for example, by extruder, by injection machine, by extruder model, by injection machine model, by compressor capacity, etc. Energy efficiency method and Energy efficiency performance can be tracked and analyzed. In step S400, a supplier may be recommended using the tracking and analysis results for individual facilities of the platform server 100 as described above. In this way, in addition to the energy efficiency proposal of the supplier, the reliability can be improved by quantitatively providing the specific energy efficiency performance for each supplier and each facility of the platform server 100 to the consumer and recommending the supplier based on this.

Meanwhile, in step S400, the platform server 100 tracks and analyzes the energy ROI result of the customer with respect to the customer and the customer having the same industry or the same equipment to recommend an optimized supplier suitable for the demand.

In step S500 , an energy efficiency improvement plan may be provided to the consumer by using the analysis result. In step S500, an energy efficiency plan including a quantitative analysis result of analyzing the energy efficiency proposal received from the supplier based on the submetering data in step S300 may be proposed to the consumer. According to an embodiment, the energy efficiency improvement plan may be generated in the form of a report or a proposal and proposed to the demanding party, and information on the supplying party recommended in step S400 may be included. In this case, the energy efficiency improvement plan may include return on investment (ROI). In addition, the energy efficiency improvement plan may include an energy efficiency improvement plan for each industry type and an energy efficiency improvement plan for each individual facility according to the submetering data. Therefore, the specific industry and facility-specific measures can help the demander in selecting a supplier and making an investment decision.

Meanwhile, in step S500 , the energy efficiency improvement method and results of the consumer and the same industry may be provided to the consumer. Since many companies in the same industry have similar facilities, it is possible to increase the reliability of the energy efficiency measures by providing specific energy efficiency methods of the same industry of the demanding party and the results thereof, and benchmarking and spreading of best practices for efficiency can make it

In step S600 , a score for each supplier may be calculated by analyzing the result of energy efficiency improvement of each supplier, and a ranking may be given according to the calculated score. More specifically, after the energy efficiency improvement of each supplier is performed, the platform server 100 analyzes the energy efficiency results of each supplier and converts it into a DB, and energy efficiency of each supplier based on the analyzed total investment cost, ROI, etc. score can be calculated. In addition, it is possible to assign and manage a ranking for each supplier based on the calculated score.

A supplier can be recommended to a demand by using the score and ranking calculated in this way. That is, when recommending a supplier to another demand source later, in step S400, in addition to the energy efficiency proposal of the supplier when recommending the supplier, the supplier may be recommended by reflecting the previous energy efficiency execution result of the supplier. At this time, the analysis by supplier in step S600 A supplier may be recommended using at least one of a result, a score, and a ranking.

5 is a diagram illustrating a flow of recommending a supplier by receiving an energy efficiency request from a demander in a method for recommending a supplier based on submetering data according to an embodiment of the present invention. As shown in FIG. 5 , the method for recommending a supplier based on submetering data according to an embodiment of the present invention further includes the step (S10) of receiving an energy efficiency request from the consumer before step S400. can be

That is, in step S10, a request for energy efficiency improvement may be received from the consumer, and in step S400, the energy efficiency request of the consumer in step S10 and the energy efficiency improvement proposal of the supplier analyzed in step S300 are matched, and an optimized supplier suitable for the consumer can be selected and recommended. More specifically, in step S400, detailed components constituting the energy efficiency improvement request of the consumer are compared with the detailed components of the analysis result of the energy efficiency proposal of the supplier analyzed in step S300 and the submetering data of the consumer, and Optimized suppliers can be selected and recommended. Therefore, in step S400 , with respect to the specific energy efficiency demand of the demanding party, a supplier capable of an optimized response may be selected and recommended.

6 is a diagram illustrating a detailed flow of step S400 for combining and recommending a plurality of suppliers in a method for recommending a supplier based on submetering data according to an embodiment of the present invention. As shown in FIG. 6 , the step S400 of the method for recommending a supplier based on submetering data according to an embodiment of the present invention includes the step of selecting at least two suppliers based on the analysis result (S410) and the selected Including the step ( S420 ) of combining and recommending at least two or more suppliers, a plurality of suppliers may be combined and recommended.

In step S410, at least two or more suppliers may be selected based on the analysis result of step S300. In this case, each supplier may be selected according to necessary fields such as energy efficiency facilities, energy management systems, and energy diagnosis consulting services.

In step S420, at least two or more selected suppliers may be combined and recommended. In this case, in step S420 , an optimal supplier combination may be generated and recommended by referring to the ROI result of each supplier.

According to an embodiment, in step S400, a supplier may be recommended using an artificial intelligence-based recommendation algorithm, for example, a recommendation algorithm using collaborative filtering or deep learning may be used.

7 is a diagram illustrating a detailed flow of step S500 for deriving an energy efficiency method by combining a plurality of suppliers in a method for recommending a supplier based on submetering data according to an embodiment of the present invention. As shown in FIG. 7 , in step S500 of the method for recommending a supplier based on submetering data according to an embodiment of the present invention, an optimized energy efficiency improvement method by combining the energy efficiency proposals of at least two selected suppliers Including the step of deriving (S510) and the step of providing the derived optimized energy efficiency improvement plan to the demanding party (S520), it is possible to derive an energy efficiency improvement plan by combining a plurality of suppliers.

In step S510, an optimized energy efficiency plan may be derived by combining the energy efficiency proposals of at least two suppliers selected in step S410. In step S510, the energy efficiency proposals of each supplier may be modified and combined using the sub-metering data of the consumers, and thus, an energy efficiency improvement plan optimized for the corresponding demand may be derived.

In step S520, it is possible to provide the derived optimized energy efficiency improvement plan to the consumer. The consumer, who has looked at the provided energy efficiency measures, may select a supplier for energy efficiency implementation from among the recommended suppliers, and may request additional quantitative performance results from the supplier.

As described above, according to the supplier recommendation method based on the submetering data proposed in the present invention, the supplier recommendation is made by analyzing the analysis result of the submetering data, which is the actual measurement data for each facility, and the energy efficiency improvement proposal of the supplier. By recommending an optimized supplier for the required demand, the supplier can reduce operating costs and provide an optimal solution using actual data. Satisfaction can be improved by increasing the reliability of the company and quantifying the ROI (Return On Investment) of the demanding party to predict the investment effect on facility investment.

Various modifications and applications of the present invention described above are possible by those skilled in the art to which the present invention pertains, and the scope of the technical idea according to the present invention should be defined by the following claims.

100: platform server
200: consumer terminal
300: supplier terminal
S10: receiving a request for energy efficiency from a consumer
S100: Collecting submetering data, which is actual data for each facility, from the demand
S200: providing the collected submetering data to the supplier
S300: Analyzing the energy efficiency proposal received from the supplier and the collected submetering data
S400: A step of recommending an optimized supplier for the customer using the analysis result
S410: Step of selecting at least two or more suppliers based on the analysis result
S420: a step of recommending a combination of at least two or more selected suppliers
S500: Step of providing energy efficiency measures to consumers using the analysis results
S510: Combining the energy efficiency proposals of at least two selected suppliers, and deriving an optimized energy efficiency plan
S520: Step of providing the derived optimized energy efficiency plan to the consumer
S600: Analyzing the energy efficiency results of each supplier, calculating a score for each supplier, and assigning a ranking according to the calculated score

Claims (10)

As a supplier recommendation method,
A platform server 100 that recommends a supplier that provides at least one of an energy efficiency facility, an energy management system, and an energy diagnosis consulting service to a demand that requires a supplier recommendation,
(1) collecting submetering data, which is actual measurement data for each facility, from the demand source;
(2) providing the collected submetering data to a supplier;
(3) analyzing the energy efficiency proposal received from the supplier and the collected submetering data; and
(4) Using the analysis result, the supplier recommendation method based on submetering data, characterized in that it comprises the step of recommending an optimized supplier suitable for the demand destination.
The method of claim 1, wherein in step (2),
A supplier recommendation method based on submetering data, characterized in that the collected submetering data is provided to the supplier, but is provided as non-identifying data that cannot be identified by an individual consumer.
The method of claim 1, wherein in step (2),
A supplier recommendation method based on submetering data, characterized in that the submetering data classified into at least one of the equipment type, industry type, and rating is provided to the supplier.
The method of claim 1, wherein in step (4),
A supplier recommendation method based on submetering data, characterized in that it recommends an optimized supplier for the demand by using the result of analyzing the ROI (Return on investment) for the energy efficiency of the supplier.
The method of claim 4, wherein in step (4),
Submetering, characterized in that the performance of energy efficiency improvement of the supplier is tracked, and an optimized supplier suitable for the demand is recommended using the result of tracking and analyzing the energy efficiency method for each facility and the performance of the energy efficiency facility A data-driven source recommendation method.
The method of claim 1, wherein before step (4),
(0) further comprising the step of receiving an energy efficiency request from the demand,
In the step (4), by matching the energy efficiency improvement request of the consumer in step (0) and the energy efficiency improvement proposal of the supplier analyzed in the step (3), an optimized supplier suitable for the demand is selected and recommended. , a supplier recommendation method based on submetering data.
According to claim 1, After step (3),
(5) Using the analysis result, the supplier recommendation method based on submetering data, characterized in that it further comprises the step of providing an energy efficiency improvement plan to the demanding party.
According to claim 7, wherein the step (4),
(4-1) selecting at least two suppliers based on the analysis result of step (3); and
(4-2) A supplier recommendation method based on submetering data, characterized in that it comprises the step of recommending a combination of the at least two or more selected suppliers.
According to claim 8, wherein the step (5),
(5-1) deriving an optimized energy efficiency improvement plan by combining the energy efficiency improvement proposals of at least two suppliers selected in the step (4-1); and
(5-2) A supplier recommendation method based on submetering data, characterized in that it includes the step of providing the derived optimized energy efficiency improvement plan to the consumer.
The method of claim 1, wherein after step (4),
(6) analyzing the energy efficiency results of each supplier, calculating a score for each supplier, and further comprising the step of giving a ranking according to the calculated score,
A supplier recommendation method based on submetering data, characterized in that the supplier is recommended using at least one or more of the analysis result, score, and rank for each supplier in step (6).

Images