KR101687816B1 - Method and apparatus of evlauating energy efficiency - Google Patents

Method and apparatus of evlauating energy efficiency Download PDF

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KR101687816B1
KR101687816B1 KR1020150139987A KR20150139987A KR101687816B1 KR 101687816 B1 KR101687816 B1 KR 101687816B1 KR 1020150139987 A KR1020150139987 A KR 1020150139987A KR 20150139987 A KR20150139987 A KR 20150139987A KR 101687816 B1 KR101687816 B1 KR 101687816B1
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eci
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김광중
김경호
최원덕
강재령
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(주)에스아이티
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Abstract

A method and an apparatus for evaluating energy efficiency are disclosed. The apparatus for evaluating energy efficiency calculates an energy cost index by checking a usage fee composition ratio according to the hourly power consumption of at least one production team based on different electric power rate systems according to time, compares the energy cost index and an energy productivity index with a reference energy cost index and a reference energy productivity index, after calculating the energy productivity index based on the ratio of the hourly power usage fee ratio and production amount according to time, and determines whether energy management is bad.

Description

TECHNICAL FIELD [0001] The present invention relates to a method and apparatus for evaluating energy efficiency,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method of measuring and evaluating the efficiency of industrial electric power energy used in a factory or the like, and more particularly, to a method and an apparatus for evaluating energy use efficiency in consideration of a production amount.

In industrial sites such as factories, efforts are made to minimize the use of electricity for cost reduction. However, the main concern of conventional power management methods is to minimize the use of power unrelated to production, as the production team's power is reduced and the line utilization falls and the production also drops. However, since the energy consumption of manufacturing facilities such as factories is mostly carried out in the production line, there is a limit in achieving the energy cost reduction merely by managing the idle power.

Patent Application No. 2012-0090342

SUMMARY OF THE INVENTION It is an object of the present invention to provide a method and apparatus for evaluating energy use efficiency that can increase the efficiency of use of industrial electric power in consideration of a production amount.

According to another aspect of the present invention, there is provided a method of evaluating energy efficiency, the method comprising the steps of: Calculating an energy cost index; Determining a production amount of each of the at least one production team by time zone; Calculating an energy productivity index based on the ratio of the production amount per hour to the electricity usage fee per hour; And comparing the energy cost index and the energy productivity index with a reference energy cost index and a reference energy productivity index, respectively, to determine whether or not the energy management is bad.

According to the present invention, it is possible to maximize the production amount of electric power consumption by grasping the electric power utilization efficiency considering the production amount per hour. In addition, the efficiency of energy use of the entire plant can be improved by benchmarking and benchmarking the energy use efficiency of multiple production teams. It is also possible to objectively evaluate the energy use efficiency of each production team based on a certain standard value, rather than a simple comparison by production team.

BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is a diagram showing the configuration of an embodiment of an energy efficiency evaluation apparatus according to the present invention,
2 is a diagram illustrating an example of a power billing scheme referred to for energy efficiency evaluation according to the present invention,
3 is a flowchart showing an embodiment of the energy efficiency evaluation method according to the present invention,
4 is a view showing an example of a reference energy cost index for energy efficiency evaluation according to the present invention,
5 is a diagram illustrating an example of calculating an actual energy cost index for an energy efficiency evaluation according to the present invention,
6 is a diagram illustrating an example of a method of setting a reference value for energy efficiency evaluation according to the present invention,
FIG. 7 is a diagram illustrating an example of a method of displaying the result of the energy efficiency evaluation according to the present invention.

Hereinafter, a method and apparatus for evaluating energy efficiency according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram showing a configuration of an embodiment of an energy efficiency evaluation apparatus according to the present invention.

1, the energy efficiency evaluation apparatus 100 includes a power amount determination unit 110, a production amount determination unit 120, an ECI calculation unit 130, an EPI calculation unit 140, and an energy evaluation unit 150 do.

The power amount determination unit 110 determines the power usage amount of each at least one production team 160, 162, and 164 by time. Here, the production team (160, 162, 164) does not mean a production team of a manufacturing line that directly produces goods in the manufacturing industry, but refers to a unit capable of distinguishing power consumption. For example, a production team can refer to each floor of a building, where power usage can be determined by each floor of the building. As another example, the production team (160, 162, 164) may be defined as a type of equipment capable of distinguishing power usage from specific production equipment or building air conditioners.

The power amount determination unit 110 determines the amount of power usage by a predetermined time unit. For example, the power-amount detection unit 110 determines the amount of power consumption in a predetermined time interval, such as one hour unit, two hour unit or half-hour unit. As shown in FIG. 2, when the electric power rate system 200 is different from each other in every predetermined period, the electric power amount determination unit 110 can grasp the electric power consumption amount by time zones defined in the electric power rate system.

The production amount determination unit 120 determines the production amount of at least one production team (160, 162, 164). If the production team is in the manufacturing line of the factory, the production quantity can be easily calculated by quantitatively detecting the quantity of the product in the line and the defective product. The production amount can be easily grasped through various conventional factory automation systems. According to the embodiment, if the production team means each layer of the building that can distinguish the amount of power, the production amount can be defined according to various criteria and used. For example, you can define the amount of production based on the number of people in each floor at time of day. The definition of the production amount and the conventional method of calculating the production amount can be applied to the present embodiment.

In this embodiment, two indexes are defined for understanding the energy efficiency, and the ECI calculating unit 130 and the EPI calculating unit 140 calculate these indexes, respectively.

First, the ECI calculation unit 130 calculates an energy cost index (ECI) newly defined in the present embodiment by each production team 160, 162, and 164. The ECI calculation unit 130 can obtain the ECI by grasping the power charge composition ratio according to the power usage amount for each time slot based on the electric charge scheme 200 shown in FIG.

For example, the ECI calculating section 130 may calculate the ECI using the following equation. Equation (1) is an equation for calculating the ECI for any production team. If there are multiple production teams, the ECI is calculated for each production team.

Figure 112015096413328-pat00001

Here, n denotes the number of time intervals having different power rates in the electricity rate system 200. For example, if the production I team 160 applies the electric charge system of selection I of high pressure A among the electric charge schemes of FIG. 2, the ECI calculation unit 130 may calculate the electric charge rate , The intermediate load, and the maximum load.

Next, the EPI calculating unit 140 calculates the Energy Producitivity Index (EPI) newly defined in the present embodiment by each production team 160, 162, 164. The EPI calculating unit 140 can calculate the EPI based on the ratio of the amount of power used by each time slot to the output of each time slot.

For example, the EPI calculating unit 140 may calculate the EPI using the following equation. Equation (2) is an EPI calculation formula for any production team. If there are a plurality of production teams, the EPI is calculated for each production team.

Figure 112015096413328-pat00002

Where n is equal to n defined in equation (1). The nth time zone energy cost index refers to the rightmost nth term of equation (1). That is, the n-th time-zone energy cost index is (n time zone energy consumption * nth time zone power unit / total energy usage).

The energy evaluating unit 150 evaluates whether the energy use state of each of the production teams 160, 162, 164 is good or bad using each index obtained by the ECI calculating unit 130 and the EPI calculating unit 140.

Generally, the lower the ECI and the higher the EPI, the higher the energy use efficiency. However, if the power consumption is reduced to lower the ECI, the EPI is lowered because the production amount is lowered. On the contrary, if the production amount is increased to increase the EPI, the ECI is also increased due to the increased power consumption. Therefore, according to the embodiment, the energy evaluation unit 150 calculates the optimal value of the components (e.g., production activity pattern, production amount, defect rate, operation time, etc.) related to production so as to find an appropriate harmony point of ECI and EPI Can be identified and provided.

2 is a diagram illustrating an example of a power billing scheme referred to for energy efficiency evaluation according to the present invention.

Referring to FIG. 2, the power billing system 200 may be variously defined. This embodiment proposes a charging system that divides the charges of industrial electric power into four parts. In addition, each tariff can be defined differently for each hourly power charge.

For example, selection I of high pressure A has different power units for light load, medium load, and peak load time. The time of light load, intermediate load and maximum load is predetermined. For example, light load time is 23:00 to 9:00, intermediate load time is 9:00 to 10:00, 12:00 to 13:00, 17:00 to 23:00, The load time zone can be defined as 10:00 to 12:00 and 13:00 to 17:00.

Referring to FIG. 1 again, the energy efficiency evaluating apparatus previously stores information on the electric power rate system 200 as shown in FIG. 2, and the electric power amount determining unit 110 calculates the electric power rate of the stored electric power rate system 200, Understand the power usage by load and peak load time. According to the embodiment, the energy efficiency evaluation apparatus 100 can receive and store information on the electric power rate system from the electric power company in real time.

3 is a diagram showing a flow of an embodiment of the energy efficiency evaluation method according to the present invention.

Referring to FIG. 3, an energy efficiency evaluation apparatus (hereinafter, referred to as 'apparatus') sets a reference ECI and a reference EPI (S300). The device may define an initial baseline ECI based on the power cost scheme of FIG. A specific method of setting the reference ECI and the reference EPI will be described again in Fig.

The device grasps the power usage of at least one production team by time zone of the electric charge system (S310). In addition, the energy efficiency evaluation device determines the production amount of at least one production team by time slot of the electric power charge system (S320).

Then, the apparatus recognizes newly defined ECI and EPI for each production team as shown in the above Equations (1) and (2) (S330, S340). The apparatus compares the ECI and the EPI obtained for each production team with the reference ECI and the reference EPI, respectively, to determine whether the energy use efficiency is good or not (S350). If it is determined to be defective, the device informs the manager or the like of the defect, so that appropriate measures can be taken.

4 is a diagram illustrating an example of a reference ECI for energy efficiency evaluation according to the present invention.

Referring to FIG. 4, the apparatus can generate a reference ECI using the electric power billing system as shown in FIG. For example, the reference ECI can be defined as follows:

Figure 112015096413328-pat00003

For example, in the high-pressure A and I power-law schemes of FIG. 2, during a total load time of 24 hours, between 23 and 9 hours of light load time, between 9 and 10 hours of intermediate load time, between 12 and 13, The total time of light load time is 10 hours, the total time of intermediate load time is 8 hours, the total time of maximum load time is 6 hours to be. Also in the winter season, the reference ECI is approximately 85 ((10 * 67.9) + (8 * 84.8) * (6 * 114.2)) / 24. According to the embodiment, a reference ECI can be made by multiplying the exponentiation factor (e.g., 0.1) in equation (3) to make each exponent a value within a certain range. When the exponentiation factor is multiplied by 0.1, the upper reference ECI is 8.5.

5 is a diagram illustrating an example of calculating an actual ECI for energy efficiency evaluation according to the present invention.

Referring to FIG. 5, the power consumption 500 for each hour of light load, intermediate load, and maximum load of the production team is 98,016, 121,633, and 119,112, respectively. If the electricity billing system of the production team is the high pressure A and the selected I in FIG. 2, and it is the present winter, then the actual ECI of the production team is ((98,016 * 67.9) + (121,633 * 84.8) + (119,112 * 114.2) 98,016 + 121,633 + 119,112) is approximately 90.

The ECI for each time frame of the production team can be displayed as a triangle chart (510). For example, it can be expressed as a triangle with the light load time zone ECI, the heavy fall time zone ECI, and the maximum load time ECI as vertices.

6 is a diagram illustrating an example of a method of setting a reference value for energy efficiency evaluation according to the present invention.

Referring to FIG. 6, the apparatus sets a reference ECI and a reference EPI (S600). The reference ECI can be set based on the power billing scheme as shown in FIG. The baseline EPI can be set based on the past yield and the baseline ECI if there is historical data on the yield.

For example, the device can calculate the reference EPI by dividing the average of the production over time in the past period by the reference ECI for each time period. As another example, the apparatus can calculate the reference EPI by dividing the production amount by the hour of the day, which represents the highest production amount of the production over the past period, by the reference ECI. If there is no past yield data, the device can directly input the value for the reference EPI from the user.

The device calculates the actual ECI and the actual EPI (S610). 5, the apparatus can calculate the actual ECI for each production team by grasping the power consumption by each production team on the basis of the electricity rate system. The device can also calculate the actual EPI based on the production of each production team and the actual ECI ratio. For example, if the actual ECI of the production team obtained in FIG. 5 is 90 and the production amount of the production team is 180, then the actual EPI = 180/90 = 2.

When the actual ECI and the actual EPI are calculated, the device compares the actual ECI with the reference ECI (S620). It is not always good that the actual ECI is smaller than the reference ECI. The lower the actual ECI, the lower the production. Accordingly, if the actual ECI is smaller than the reference ECI (S620), the apparatus updates the reference ECI to the actual ECI (S640) if the actual EPI is greater than the predetermined threshold (S630).

For example, if the reference ECI is 85, the actual ECI is 80, and the actual EPI is higher than the predetermined threshold, the reference ECI is updated to 80. [ Here, the threshold value may be a reference EPI or a value lower by a predetermined percentage with respect to the reference EPI (e.g., threshold = reference EPI * 90%), or a fixed value, depending on the embodiment.

If the reference EPI is used as the threshold value, the device updates the reference EPI to the actual EPI (S640) if the actual EPI is higher than the reference EPI (S630).

If the actual ECI is lower than the reference ECI (S620), the device notifies the manager through an alarm or the like. For example, the device transmits an alarm message to the user's terminal (or a portable terminal such as a smart phone) of the energy usage status of the production team concerned.

And, according to the embodiment, the apparatus can present various proposals of the production activity pattern by time period in which ECI can be improved (S650). The patterns of production activity by time frame include the breaks of the workers of the production team or the arrangement of concentrated working hours. For example, as shown in FIG. 2, since the electric power rates of the electric power charge system are different from each other, the ratio of concentrated working hours at the light load time is further increased, and the ratio of the concentrated working hours at the maximum load time is reduced, However, the ECI can be lowered. Therefore, the device can create several scenarios for the ratio of concentrated work hours for each time period, and calculate the virtual ECI for each scenario, and then present the percentage of concentrated work hours representing the lowest ECI.

If the actual EPI is lower than the threshold value (S630), the device can notify the manager or the like of the energy use status of the production team through an alarm message. In addition, the device can provide an optimal value of energy factors related to the production amount such as the production amount, the defect rate, the temperature, the worker, and the operation time for the EPI improvement.

For example, correlation or regression analysis can be used to determine the relationship between energy factors and energy usage. The present embodiment assumes that the correlation between the energy factor and the energy usage is obtained in advance by various conventional analysis tools. In this case, the apparatus can increase the EPI by increasing the production amount or the operation time, and calculate the optimum value of the energy factors such as the production amount and the operation time by considering the correlation of the energy usage related to the EPI (S660).

FIG. 7 is a diagram illustrating an example of a method of displaying the result of the energy efficiency evaluation according to the present invention.

Referring to FIG. 7, the apparatus displays the ECI 710 and the EPI 720 of each production team on two axes, so that the manager can easily compare the energy use efficiency of each production team. For example, compare the Production 1 and Production 3 teams to find that the ECIs of the two teams are the same, but the EPI is higher in the three production teams.

The device can compare the ECI and EPI of each team and manage the rest of the production team by benchmarking production teams that meet the optimal index. For example, if the ECI of production 2 is lower than the baseline ECI and the EPI is higher than the baseline EPI, then the device is able to determine the production pattern and energy of the other production team based on the time- The values of the elements can be optimized.

The present invention can also be embodied as computer-readable codes on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like. The computer-readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner.

The present invention has been described with reference to the preferred embodiments. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.

Claims (6)

A method of evaluating energy efficiency by an energy efficiency evaluation apparatus,
The energy efficiency evaluating apparatus includes:
Calculating an energy cost index by multiplying a power ratio of each time slot by a power rate for each time slot based on total energy consumption of at least one production team based on different power tariffs for each time slot;
Determining a production amount of each of the at least one production team by time zone;
Calculating a value obtained by dividing the production amount by time period by an energy cost index by time, as an energy productivity index; And
Comparing the energy cost index and the energy productivity index with a reference energy cost index and a reference energy productivity index, respectively,
Calculating a reference energy cost index by multiplying a composition ratio of a power charge time zone to a total load time by a power charge according to a time zone based on the electricity charge system;
Updating the reference energy cost index with the calculated energy cost index if the energy cost index is smaller than the reference energy cost index and the energy productivity index is greater than a predetermined threshold value;
Designating as a reference energy productivity index a larger value among the energy productivity indexes of at least one production team detected during a certain period of time; And
Based on a correlation analysis or a regression analysis result between an energy factor and at least one of an energy factor including at least one of a production rate, a defect rate, a temperature and an operation time when the energy productivity index is lower than the reference energy productivity index, Calculating an optimal value of an energy element that maximizes the energy productivity index within a range satisfying an index. delete delete The method according to claim 1,
Designating as a reference energy productivity index a larger value among the energy productivity indexes of at least one production team detected during a certain period of time; And
Optimizing a value of an energy element of another production team based on values of an energy element including at least one of a production amount, a defect rate, a temperature and an operation time of a production team designated by the reference energy productivity index Wherein said energy efficiency evaluation method comprises the steps of: The method according to claim 1,
Wherein the step of calculating the energy cost index comprises the steps of:
Figure 112016090558750-pat00004

(n is a natural number of 2 or more)
Wherein the step of calculating the energy productivity index comprises the steps of:
Figure 112016090558750-pat00005

(Where n is a natural number of 2 or more). The method according to claim 1,
And displaying each of the energy cost index or the energy productivity index as a polygon having vertices at each time zone.
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CN112270458A (en) * 2020-09-15 2021-01-26 广东韶钢松山股份有限公司 Energy refined management and control method and device, computer equipment and storage medium
CN112381411A (en) * 2020-11-16 2021-02-19 国网上海市电力公司 Group production vitality evaluation method, electronic equipment and storage medium
KR102222852B1 (en) * 2020-01-28 2021-03-04 (주)에이맵 A system that generates scenarios for energy saving through analysis of facility operations

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KR20120072306A (en) * 2010-12-23 2012-07-03 그린베일 주식회사 Monitoring system comparing power consumption and method thereof
KR20120090342A (en) 2011-02-07 2012-08-17 엘아이지에이디피 주식회사 Adsorption apparatus for substrate and substrate inspection apparatus using the same
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CN112381411A (en) * 2020-11-16 2021-02-19 国网上海市电力公司 Group production vitality evaluation method, electronic equipment and storage medium
CN112381411B (en) * 2020-11-16 2024-01-26 国网上海市电力公司 Method for evaluating population production activity, electronic equipment and storage medium

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