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Information System Development to Support Real Time Energy Management

System Case Study Bangkok University (City Campus)

1* 2 1 1

E-mail: jaguitar1@hotmail.com*

2

Saranyu Satjapoch1* Prawong Maneelertrattana2 Songkran Bangsarantip1 1Department of Industrial Engineering Technology, College of Industrial Technology,

King Mongkut�s University of Technology North Bangkok, Bangkok E-mail: jaguitar1@hotmail.com*

2Department of Maintenance, Buliding and Utilities Administration Office, Bangkok University (City Campus), Bangkok

1 8

2

(Energy Performance Indicators (EnPIs))

Automatic Meter Reading (AMR)

33.96%

Abstract

This research aims to reduce the cost of energy management in Bangkok University (city campus). By focusing on the process of assessing the situation power management is one of the eight basic steps an

organization must take to make a report to the department of energy. In the process the core activities that need to be loss of time and human resources in a number of activities, including number 2. All the

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information gathering power. Assessment and management of primary energy. The research has been to

develop an information system to support the management of time and energy. The system consists of programs to support energy management (Energy Performance Indicators (EnPIs)), which is connected

to the electrical system, Automatic Meter Reading (AMR) or digital meter. Makes it possible to collect data energy-time as well as to compare the ratio of the energy consumption per unit of output or services

can be automated. Result in reducing the cost of activities to collect information on energy consumption. Assessment and management of primary energy of Bangkok University (City campus) to be 33.96%.

Keywords: Energy Management, Automatic Meter Reading (AMR), Real Time Energy Management,

Meter Digital

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[3]

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(Energy Performance Indicators (EnPIs))

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2 ISO 50001 EnPI

(Energy Base Line) (kwh)

(Specific Energy Consumption: SEC) (kwh/m2)

( Energy Intensity) ( kWh

(Air Condition) / Area) Load (Load Forecasting) [4], [5]

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2 (Energy Performance Indicator (EnPI))

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1 12 3.14

6 56 5.22

11 80 6.35

12 102 8.59

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2 130 10.23

8 149 12.44

9 158 14.45

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3 220 20.78

4 340 25.67

5 540 32.34

7 670 45.81

2,457 185.02

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185.02 / 22.00 /

88.11% 300 / ( 8 )

6 x (300/8) x (185.02-22.00)/60 = 611.33 / 183,397.5 / (1

300 ) = 183,397.5 / (6 x 300 x 300) x 100% = 33.96%

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1.Digital Power meter 3 phase 11 4,000 44,000

2.RS232 to RS485 Converter 11 500 5,500

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33.96%

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[1] , .

. 2555. 2525-2555 [ ].

http://www.dede.go.th/dede/images/stories/pdf/table.pdf 15 2556

[2] , . . 2552.

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10 2556 [3] ; . 2550).

[ ]. : http://library.kmutnb.ac.th/projects/ind/

ECT/ect0221t.html 10 2556 [4] . 2552.

(2). 305 ( ): 89-95. [5] Haberl, J., R. Lopez, and R. Sparks. 1992.

Building energy monitoring workbook. ESL Technical Report. ESL-TR-92/06-02. College

Station, TX: Texas A&M University, Energy Systems Laboratory.