Survey on electrical energy use in Asia office facility and … · 2014. 12. 24. · Survey on electrical energy use in Asia office facility and economic analysis through the application

Survey on electrical energy use in Asia office facility and economic analysis through the application of Battery

Energy Storage system (BESS)

Kyoungwon Lee1, Goopyo Hong2, Jun Hong3, Byungseon Sean Kim4 1Yonsei University, Korea, Republic of (South Korea); 2Yonsei University in Korea, Republic of (South Korea); 3Yonsei

University, Korea, Republic of (South Korea); 4Yonsei University, Korea, Republic of (South Korea)

; [email protected]

Topics: Control Techniques for Energy Management, Building Reuse and Refurbishment

Keywords BESS, Building energy, Peak Shaving, Electric energy, Energy pattern

ABSTRACT

The battery energy storage system (BESS ENERGY STORAGE SYSTEM) is afford storing electric energy of

the light load zone release time of the maximum load that may be referred to enable the device .Technical

problems in the past due to cost and practical application of the burden to have had a lot of trouble. Due to

recent advances in electric vehicles and energy storage devices, the weight of the product density , and product

price declines to bring such products to use the matching conditions favorable due to recent social product is

applied in many areas and the study who being accelerated. The installation of the battery energy storage

products is the maximum energy load of the building users and the required time for the charges to enable the

effective use of energy in the building to ease the economic burden of the users have had the energy to give

energy providers the burden on the facility expansion this can be a benefit by reducing each other can be

described as a method. In fact, the electrical energy storage facilities near field can be said more, but the actual

large office building in the applying existing facilities and use of electrical energy for the estimation of the

amount provided by the Institute of Energy Research, public buildings energy relative coefficient is used to

obtain and afford the actual usage pattern by comparing the work proceeds. Electric energy savings and light

load hours of the base rate and the maximum load of the electric peak shaving time by looking at how much it

costs to save energy costs and payback period of the initial investment products see if how much can be said for

the research .

1. INTRODUCTION

Recent forms of distributed renewable energy power supply is enabled to store electrical energy in an energy

storage device (ESS, Energy Storage System) is increasing the interest .The advent of high-density high-

efficiency conventional rechargeable batteries store electricity in many areas, it is impossible to escape from

what used to be trying to promote. The use of the electric energy storage technology, especially since the

maximum power demand on the energy to move the load to a light load zone that enables the necessary electric

power demand of the facility for enabling efficient operation. In terms of the power demand of the energy

provider by enabling the administration of the generator and the environmental problems caused by expansion

of the transmission and distribution equipment, such as to reduce the investment cost can induce a strategic

electricity supply. Construction of the electrical energy storage system in order to examine the storage medium

should be on the preceding study, regeneration of energy storage in order to find the most suitable medium and

utilizing the analysis of the characteristics of each medium should be applied.

30th INTERNATIONAL PLEA CONFERENCE 16-18 December 2014, CEPT University, Ahmedabad

1

mailto:[email protected]

2. METHODS

In this paper, the basic structure of the ESS and the ESS for different kinds of features introduced and

examined with respect to domestic and international market trends. In addition, ongoing trends related to

domestic and international standardization want to analyze the characteristics of the system. These previous

studies of one of the devices after the ESS technology applied to the BESS system by looking office building

heating and cooling energy peak load management can respond effectively to make sure that after viewing the

parties to this paper.

3. COST OF ELECTRICITY

If the time zone differential of seasonal fare and each season depending on the hourly cost of the power supply

to charge a differential fee system can be said. In other words, in the case of the summer season, winter, spring,

fall is divided into 24 time zones, separated by time sensitive afford each season, and the differential rates will

apply. Korea Electric Power to supply the exclusive sales structure. Therefore, consumers can choose power bill

narrow. Korea Electric Power provides electricity to the unit price, and the average fee structure by use of the

following can be classified as shown in the table.

Energy price ~2012 2013

Summer Season

Due to changes in electricity tariffs rising cost of energy use in buildings

Analysis of the building's energy use patterns destination

After application of the ESS destination building operational analysis

The resulting value of destination property derived


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Spring, Fall Season

Winter Season

4. ANALYSIS OF THE BUILDING'S ENERGY USE PATTERNS DESTINATION

4.1 Analysis

Location: Daejeon, 139 West seonsaro Completion date: 12/10/1997

< Land area > (Unit: ㎡)

Total Construction area Green area Other areas

518,338 28,703 259,604 230,031

Building Structure: Steel Reinforced Concrete

Building Size: 2 underground floors / ground 20 floors

Maximum height: 91.9m, Above is: 36.22N, The floor and: Typical floor 4.2m, up to 5.4m (ground floor)


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4.2 Data

Monthly amount of electrical energy in 2009

(Unit: kWh)

Monthly amount of electrical energy price in 2009

(Unit: Dollars)

0

300,000

600,000

900,000

1,200,000

1,500,000

1,800,000

2,100,000

2,400,000

2,700,000

3,000,000

1 2 3 4 5 6 7 8 9 10 11 12

Total General Power (A) Midnight Power (B) Midnight Power (A)

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

1 2 3 4 5 6 7 8 9 10 11 12

Price General Power (A) Midnight Power (B) Midnight Power (A)


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4.3 Solving the building energy use pattern

According to the data extraction KEPCO contract type sales database of customers to find out the average

hourly power consumption can be seen. In order to calculate the predicted values relative load factor is the

monthly Energy Management Corporation load pattern of educational holiday season working load pattern is

used.

Load forecasting = peak demand × relative factor

24 hours relative load factor set to 1000, the average of each time slot representing a load index. How to

calculate the relative coefficients are as follows. Classification by type of weekday working and living in the

form of electricity usage behavior will be classified by considering the impact. National Day of the week from

Tuesday to Friday, the day of the week, not working day-to-day work was set takes place. Working day by

working day by day to show a different behavior on Sunday, Saturday and Monday were classified. Closed on

Sunday conducted the day of the week as a whole , and performed according to the five-day workweek on

Saturday and the other working day and appear in the form of the load is carried entirely closed on Sundays and

also the load of the different forms of the need for analysis elsewhere there. 24 hours, the average load factor

relative to the respective time slot 1000 is set to represent the low and high load index. Therefore, there is no

unit . In order to forecast electricity usage statistics based on the classification of the contract type classification,

hierarchical classification, one type-specific sorting, classification and utilization peaks were classified by type

of case working days ( not include holidays from Tuesday to Friday) Sunday, Saturday, Monday, and was used.

If the seasonal peaks by use of classification was based on the peak day occurred. 75,684 of these data, the

industry has been created on the basis of the distribution of the Classifieds.

0

200

400

600

800

1000

1200

1400

1600

0~1

1~2

2~3

3~4

4~5

5~6

6~7

7~8

8~9

9~10

10~11

11~12

12~13

13~14

14~15

15~16

16~17

17~18

18~19

19~20

20~21

21~22

22~23

23~24

Average Office


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4.4 Adapting BESS

ESS installed capacity of 90% compared to the average operating efficiency is assumed to keep the amount of

planning time and was discharged afford.

※ 8:00 a.m. to 7:00 p.m. discharge time Average price: 1256.5kW

※ (load values-day average value -1256.5) of the load values: 1736.4 kW

Time Load values (Load values-Daily average values) (Load values-Daily average values-1256.5kw)

0~1 3593.1 -1329.8

1~2 3519.2 -1403.6

2~3 3455.2 -1467.6

3~4 3406 -1516.8

4~5 3420.8 -1502

5~6 3612.8 -1310.1

6~7 4050.8 -872

7~8 4764.5 -158.3

8~9 5817.8 895

9~10 6570.9 1648 391.5

10~11 6580.7 1657.9 401.4

11~12 6472.4 1549.6 293.1

12~13 6147.6 1224.8 -31.7

13~14 6452.7 1529.9 273.4

14~15 6388.8 1465.9 209.4

15~16 6314.9 1392.1 135.6

16~17 6211.6 1288.7 32.2

17~18 5921.2 998.3

18~19 5094.3 171.4

19~20 4523.3 -399.5

20~21 4292 -630.8

21~22 4036 -886.8

22~23 3794.9 -1128

23~24 3706.3 -1216.6

CASE .1

Proper capacity planning: 1MW (taking into account the 90% efficiency usage is described 900kW)

CASE. 2


CASE. 3



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4.4 PROFITABILITY ANALYSIS

DOE's Sandia National Laboratories in the U.S. and launched in December 2012 ES-Select program, which was

used as a database for information on battery storage system is as follows: Looking at the graph data 1kWh

report if the price of $ 600 provided by the DOE, which shows the price of lithium ion in the price of industrial

facilities and container type is determined by the middle of $ 400 was calculated assuming that the payback

period. $ 400 per 1kw converted to the current exchange rate at the price of 440,000 won per 1kW to 2MW

estimate of 880 million won in the case of the configuration was assumed to be costly.

CASE 1 Original A ALT B A - B

Base rate 657,047 630,290 26,757

Using amount 2,602,439 2,496,469 105,970

Reduce amount 14,152 dollars/ year


Base rate 657,047 616,941 40,106

Using amount 2,602,439 2,443,511 158,928



Base rate 657,047 604,431 52,616

Using amount 2,602,439 2,394,132 208,307



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CONCLUSION

Proceed in this study, the largest electric energy for the purpose of attention is focused on the investigation at

this time and through the analysis of BESS actually have any effect on the building knowing about view. In fact,

using the coefficient of relative configuration to look at energy usage and the actual usage is quite similar to the

value estimate was confirmed. This allows the using of the monthly amount of electric energy consumption and

in the process configuration. 3-4 hours in the case of ESS equipment to maximize the efficiency of the product

can have an office building, the M -shaped energy load because it has a tendency of electric discharge by a

particular time in a simple way, that there is a limit and then derives an analysis was . In the case of ESS

equipment prices are falling faster in the state, but I think at this point, when the basis of a longer period of time

had recovered. Future due to the rising cost of energy is electric charge realized the work is ongoing at the time

BESS electricity rates will be rise building is an important element to be operated is obvious. In fact, users using

BESS is to reduce the total amount of electrical energy , but not at the national level and a personal level to

adjust the amount of load that can be used to reduce rates because they can serve as positive role in society

generally we look forward to .

REFERENCES

1. www.mopas.go.kr

2. Ministry of Knowledge Economy (2011),

“Energy storage technology development and industrialization strategy (K-ESS 2020)"

3. An analysis of the End-User electric power consumption trends using the load curve

Korea Energy Management Corporation

4. Power consumption behavior. South Korea National Statistical Office 2012. 9

5. Pike Research Report Energy Storage Systems for Ancillary Services

6. EPRI(Electric Power Research Institute), ARPA-E(Advanced Research Projects Agency for Energy)

7. University of California, Berkeley School of Law, UC LA, UC San Diego(2011),

Strategic Analysis of Energy storage in California.

8. Commercial Reference Buildings. DOE. (March 12, 2010)

9. The Role of Energy Storage in Commercial Building. PNNL-19853. DOE

10. Cost-Effectiveness of Energy Storage in California. EPRI


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Survey on electrical energy use in Asia office facility and … · 2014. 12. 24. · Survey on electrical energy use in Asia office facility and economic analysis through the application