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International Journal of Electrical and Computer Engineering (IJECE)
Vol. 9, No. 3, June 2019, pp. 1569~1575
ISSN: 2088-8708, DOI: 10.11591/ijece.v9i3.pp1569-1575  1569
Journal homepage: http://iaescore.com/journals/index.php/IJECE
An analysis of energy saving through delamping method
Mohd Firdaus Mohd Ab Halim1
, Muhamad Faizal Yaakub2
, Mohamad Haniff Harun3
, Khalil Azha
Mohd Annuar4
, Farriz Hj Md Basar5
, Mohd Nazri Omar6
1,2,3,4.5
Center for Robotics and Industrial Automation, Universiti Teknikal Malaysia Melaka, Malaysia
6
Pusat Pengajian Kejuruteraan Pembuatan, Universiti Malaysia Perlis, Malaysia
Article Info ABSTRACT
Article history:
Received Aug 13, 2018
Revised Nov 23, 2018
Accepted Dec 15, 2018
Electrical energy consumption is one of the focus areas in Green and
Sustainable technology in the 21st century. Many energy consultants offers
services to reduce the electricity consumption to the commercial consumer.
Many proposals are focusing on selling their energy management system
product which cost a lot of initial investment. The problem of applying energy
management system is that the building needs major renovation. In this paper,
electricity consumption is reduced through delamping method. The delamping
is strategizing based on energy efficiency audit. This technique complies with
the ASHRAE international standard for office building. The number of light
reduced and electricity consumption from this exercise can translate into
reduction of maintenance and electricity bill. The comparison of payback
period for various energy saving techniques were discussed as well.
Keywords:
Delamping method
Energy Audit
Energy efficiency
Lighting power density
Payback period Copyright © 2019 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Mohd Firdaus Mohd Ab Halim,
Faculty of Engineering Technology,
Universiti Teknikal Malaysia Melaka,
76100 Durian Tunggal Melaka, Malaysia.
Email: mohd.firdaus@utem.edu.my
1. INTRODUCTION
In the latest united nation conference on climate change, 195 nations gathered in Paris to show their
commitment on reducing greenhouse gas emission [1]. Many countries had set out specific measures to reduce
the energy generation from the conventional power plant as it is the main causes of the world environmental
impact. One of the measures planned by many countries was to reduce the energy consumption of all buildings
through country’s energy policy and regulation. The efficient management of electrical energy regulation 2008
is one of the tools to show Malaysia’s pledge to contribute to a greener world by reducing the carbon emission
intensity by 40% by the year 2020. One of the key initiatives by Malaysia’s government is to implement energy
audit in building and industries [2]. Energy represents nearly 30% of total expenditures for the typical
administrative building, which is a significant operational cost deserving of management attention [3]. Tackling
these expenses would not only reduce the operational cost but also in line with the pledge made by the authority.
Average electricity consumption breakdown (%) is shown in Figure 1. The potential energy saving can come
from any of the load. There are many ways to reduce the electricity bills in administrative building such as
through energy awareness campaign, replacing low efficiency appliance with a better efficiency, increase the
set-point of the HVAC system and etcetera.
Lighting system contributes about 20% of the total energy expenses in commercial building. In this
paper, the delamping method is proposed to reduce electricity bill in office building. There are many research
article discuss about the possibility of managing the light efficiently through the use of sensor, timer, and the
use of LED. Intelligent lighting system in [5] clarified that the problem of implementing the intelligent lighting
system is the actual wiring of the building is complex. Hence, adopting the same system to other office building
is not possible unless the wiring configuration is identical. Furthermore, the sensing module to provide input
to the controller is not cheap.
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 3, June 2019 : 1569 - 1575
1570
Figure 1. Electricity consumption breakdown in 2013 [4]
Lighting system energy efficiency can be achieved also by replacing the lamp type according to the
human visual condition. The study in [6] focuses on the street lighting system as it represents the condition of
photopic and scotopic. The study found that the Metal Halide (MH) lamp has the lowest implementation cost
over 10 years. However, MH lamp lost 50% of its light output at 20,000 hours. Considering this fact, LED is
still cost effective over 5 year’s period and above. Another study made by [7] used DIALux simulation software
to evaluate the efficient lighting scheme for the office buildings through the use of different types of lamps.
Based on the simulation result, LED gives the most energy efficient lighting system type for office building.
In [8], the study compares the conventional lighting system design of office building versus the Thailand
Energy Ministry standard and regulation. Three different sizes of office building were chose to simulate the
power of lighting system by various cases, according to illumination standard, and the performance index in
term of w/m2
. The simulation result shows that the conventional design does not meet the minimum
requirement of the Energy Conservation, Act B.E.2552. In [9], delamping method was used to remove a lamp
from a total of 6 lamp in a 46.84m2
area.
2. RESEARCH METHODOLOGY
2.1. Location
The lighting system energy audit was performed at Level 1 west wing administration block of the
technology campus Universiti Teknikal Malaysia Melaka. We selected this building because it is easy to access
and we have many information about building layout, number of tenant and average working hour. The building
owner had renovated the building as requested by the faculty to become the lecturer offices.
2.2. Research data
A comprehensive room data survey should include other data collection such as temperature, number
of appliances connected to the same kilowatt meter and relevant electrical parameters. Figure 2 shows the room
data survey during annual energy audit.
Figure 2. Room data survey of level 1 west wing administration block of the technology campus Universiti Teknikal
Malaysia Melaka
No. Room Function
Area
(m2
)
Temp
eratur
e (⁰C)
Number of
users
Type
Power
(Watt)
Quantity
Usage
hours)
No. Name
Power
(Watt)
Quantity
Usage
hours)
1300 25 62 T8 36W 296 9 1 Socket 124
1 Lecturer Room Area T8 36W 51 PC 62
AVR 62
Mesin Fotostat 1
E/L 16
EXIT 4
2 Surau (L) T8 36W 1
3 Pantry T8 36W 6 Socket 13
4 Bilik AHU T8 36W 3
5 Toilet (p) T8 36W 5 Socket 1
6 Toilet (L) D/L 6 Socket 1
7 Bilik Housekeeping T8 36W 2 Socket 4
8 Bilik Seminar T8 36W 93 1 Projector 1
Other EquipmentLamp
Level 1 Left Wing
Int J Elec & Comp Eng ISSN: 2088-8708 
An analysis of energy saving through delamping method (Mohd Firdaus Mohd Ab Halim)
1571
2.3. Lighting layout
The way the lighting system installed in this building is shown in Figure 3(a). Each square represent
the ceiling size, 4 m x 2 m. The lamp fixtures were fitted on the ceiling. Figure 3(b) is the light distribution
curve of the simulated luminaire and Figure 4 shows the distribution of the lamp across the office building.
The yellow square represent the lamp fixture consist of two T8 lamps of 36W.
(a) (b)
Figure 3. (a) Lighting system fitted a t the ceiling (b) Light distribution curve for selected luminaire
Figure 4. Lamp distribution at the focus location drawn in Dialux
2.4. Energy auditing
The lighting power density, (LPD) for this location is equals to 0.956 W/m2
. The actual value confirms
that the office building lighting system is energy efficient. The energy audit data is reconfirmed with DIALux
simulation result. The illuminance level for this area is shown in Figure 5. The illuminance level were high at
some area and low at other area. The smallest lux level registered is 220 lux while the highest is 550 lux.
The average lux for this area is 358 lux. The light fixture is arranged according to the real layout of the office.
The luminaire used in this simulation is summarized in Table 1. The room geometry is in Table 2.
Table 1. Luminaire Selection
Variable Luminaire Parameters
Brand Panasonic 2 x FL36W
Article No FAC42781ENHE
Quantity 115 units
Wattage 72 W
Luminous flux 3060 lm
Fitting 2 x YZ36RN (Correction Factor 1.000)
Table 2. Room Geometry
Variable Geometry /Values
Room Height 2.800 m
Mounting Height 2.875 m
Maintenance Factor 0.80
Ground Area 791.7 m²
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 3, June 2019 : 1569 - 1575
1572
Figure 5. Illumination level of the office area
2.5. Delamping Strategy
Energy commission in many countries imposes limits on the amount of lighting power installed in the
building to promote efficient technology and design. Table 3 shows the LPD limit for different type of
building [10]. An office area should not exceed the LPD of 0.9 W/m2
. We obtained 0.887 W/m2
but the lower
the LPD the higher the saving we could get. To calculate the number of lamps to be removed, the extra lumens
is divided with the the lumens per lamp which yield 4.37 lamps.
𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑙𝑎𝑚𝑝𝑠 𝑡𝑜 𝑏𝑒 𝑟𝑒𝑚𝑜𝑣𝑒𝑑 =
𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝐿𝑎𝑚𝑝 𝑖𝑛𝑠𝑡𝑎𝑙𝑙𝑒𝑑 × 𝑙𝑢𝑚𝑒𝑛𝑠 − 𝑅𝑒𝑞𝑢𝑖𝑟𝑒𝑑 𝑙𝑢𝑚𝑒𝑛𝑠
𝑙𝑢𝑚𝑒𝑛𝑠
(1)
Table 3. LPD Limits for Different Type of Building
Building Type
Maximum Lighting Power Density (W/ft2
) Allowed Version of the
ASHRAE/IES 90.1 Standard in 2010
Dormitory 0.61
Hospital 1.21
Manufacturing Facility 1.11
Office 0.90
Retail 1.40
School/University 0.99
3. RESULTS AND ANALYSIS
To further improve the lighting system efficiency, the office location can be divided into two zones,
the zone where it involves working on computer, 400-500 lux and passageways between office cubicles
100-150 lux. By rearranging the light according to the task, we could reduce the lighting set thus the NPD
values. Figure 6 shows the proposed lamp reduction denoted by green circle area (green isolines labelled in
green circle) where the illuminance level is above 500 lux. By considering the task for the given spot, we
propose to remove one lamp at every passageways that register illumination values of 400-500 lux. The new
NPD after the lamp reduction activities is 0.8447. Annual utility bill saving A is
𝐴 = 𝑛𝑃𝑈 × 𝑇 (2)
where n is the number of lamp reduced=5 units, P is lamp power rating=72 W, U is the annual usage=2080
hours and P is the average Tariff=$ 0.15 (USD). Substituting the values yield a saving of $ 111.43 or 5%
electricity bill reduction. The tariff is assumed to be $ 0.15. Besides the bill reduction, the carbon footprint
220220
220
220
220
220
220
220
220
220
330
330
330
330
330
330330
330
330
330
330
330
330
330
330
330330
330 330
330
330
330330
330
330
330
330
330
330
330
330
330
330
330 330 330 330
330
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440
440 440
440
440
440
440
440
440
440
440
440440
440
440
440
440
550
550 550
550
550
550
36.58 m0.00
21.77 m
0.00
Int J Elec & Comp Eng ISSN: 2088-8708 
An analysis of energy saving through delamping method (Mohd Firdaus Mohd Ab Halim)
1573
would also reduce by the same percentage. The saving can further increased if different luminaire and mounting
type is applied at specific location. The natural daylight is not accounted because not all tenant raised the
window curtain to allow sunlight to support the internal lighting system. Nevertheless, it can be included in
future investigation combining probability study. The bigger the area, the higher the benefits to the building
owner. The labour cost for each lamp relocation is $ 6.00. Hence within 3 months the investment has recovered.
Table 4 compares the investment cost and saving for the area size 8571m2
(similar area and layout as in
Figure 4). Figure 7 shows the projection of saving for 3 different lighting system.
Figure 6. Proposed lamp reduction denoted by green circle
Table 4. Yearly Saving and Investment for Different Lighting System
Method of lighting system *Motion sensor control switch
in the corridor (4 hours)
**Retrofit 196 units of
CFL to LED
Delamping – relocate lamp and
remove redundancy
Saving (USD) 202 792.5 111.43
Investment (USD) 540 5880 30
Payback period (years) 2.6 7 0.3
*18 units of lamp at the main corridor consumption reduced to 50% when motion sensor are installed in that area. Motion sensor cost per
light $15
**72 Watt CFL equivalent to 26 Watt LED. 98 units of CFL bulb is replaced with 98 units of LED bulb. T8 LED bulb is 4 times more
expensive than normal CFL.
Figure 7. Projection of saving for 3 different lighting system
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 3, June 2019 : 1569 - 1575
1574
4. CONCLUSION
The measures in reducing greenhouse gas emission shown by the Malaysian government is
unarguably one of the best measures in the region. Commercial and business building should take the
opportunity to utilize all the measures not only to show their togetherness in creating healthier environment
but also benefits them in overall operational cost through utility expenses. Nevertheless getting to the goal of
reducing the utility bill requires some knowledge in energy efficiency. A simple method to realize the saving
is through employee awareness talk of how switching off the light when not in use or closing the window when
air conditioning is in operation can help the company. Even by replacing or planning the electric lighting
installation with energy-efficient T5 fluorescent lamps-luminaires and CFL for task lighting can contribute to
cost efficient lighting system [11]. Another method discussed in this paper also provides general rules of
optimizing the illumination of lighting system in an office area without investing in LED's or energy
management system product. However reducing the lamp through this activities should not compromise the
minimum illumination level required by the office area. Same rule applies to the initiative to change the set-
point of air-conditioning. If the employee become uncomfortable while implementing energy saving activities,
then it is called scarifying a little comfort zone for the benefits of the company. If this kind of direction is
shown to the employee, the company may faces low employee productivity in the future. Investing in energy
efficiency system can be expensive but the payback period is within 2-7 years. If the company has the capital
to proceed with such initiative, then it would give high good impression of the company's reputation in
contributing towards clean and greener community. As for the conclusion, Delamping method helps small
company to save electricity bills and contribute to the environment with minimum investment.
ACKNOWLEDGEMENTS
I would like to thanks to Universiti Teknikal Malaysia Melaka through the Research and Innovation
Centre and Fakulti Teknologi Kejuruteraan for its financial support in this research. This paper financed under
UTeM matching grant GLUAR/CARVELLO/2017/FTK-CERIA/I00023. Special thanks to Kementerian
Pendidikan Tinggi Malaysia for offering various research grants opportunity to our research.
REFERENCES
[1] Ab Halim M.F.M., Azlan U.A.-A., Harun M.H., Annuar K.A.M., Mustafa M., Johari S.H., Abdullah A.R., Hushim
M.F., “Lighting Retrofit Scheme Economic Evaluation,” Indonesian Journal of Electrical Engineering and Computer
Science., vol. 5, no. 3, pp. 496-501, 2017.
[2] Ministry of Energy, Green Technologies and Water National: “Energy Efficiency Action Plan Draft Final Report
2014”, 2014.
[3] Amory Lovins and Rocky Mountain Institute: “Bold Business Solutions for the New Energy Era. Major Commercial
Building Category Expense by Building Type for Commercial Sector,” Reinventing Fire, 2011.
[4] U.S. Energy Information Administration: “Electricity Consumption by Sector,” Annual Energy Outlook 2014 Early
Release, 2014.
[5] Yoshihiro Kasahara, Mitsunori Miki and Masato Yoshimi: “Preliminary Evaluation of the Intelligent Lighting
System with Distributed Control Modules,” International Conference on Intelligent Systems Design and
Applications, vol. 11, 2011.
[6] J. Fraytag, M. F. da Silva, N. B. Chagas, R. N. do Prado, and M. A. Dalla Costa: “Lighting Systems Energy Efficiency
based on Different Human Visual Conditions,” IEEE/IAS International Conference on Industry Applications, vol.9,
2010.
[7] Prashant Kumar Soori, Safaa Alzubaidi: “Study on Improving the Energy Efficiency of Office Building’s Lighting
System Design,” IEEE GCC Conference Exhibition Dubai, 2011.
[8] Surasak Panj Avaranont, Pornrapeepat Bhasaputra, Woraratana Pattaraprakorn, Kitti Tirawannavit, Chaiyapat
Kumpeerakupt, Somkuan Rimsmutchai, Natapongkorn Pawanawichien: “The Optimal Design of Lighting Systems
for Designated Office Building in Thailand According to Ministerial, the Type or Size of Building Standards and
Rules and Procedures, Building Design for Energy Conservation, Act B.E.2552,” International Conference and
Utility Exhibition on Power and Energy Systems: Issues & Prospects for Asia, 2011.
[9] R. Lakshmanan, A. K. Ramasamy, S. K. Ahmed and R. Sinnadurai, “Efficient illumination design and energy saving
through occupancy control for building,” IEEE Conference on Sustainable Utilization and Development in
Engineering and Technology (CSUDET), Selangor, pp. 80-85, 2013.
[10] American Society of Heating, Refrigerating, and Air-Conditioning Engineers: “Standard 90.1-2013,” Energy
Standard for Buildings Except Low-Rise Residential Buildings, 2010.
[11] M.-C. Dubois, Å. Blomsterberg: “Energy Saving Potential and Strategies for Electric Lighting in Future North
European, Low Energy Office Buildings: A Literature Review,” Energy Buildings, vol.43. no. 10, 2011.
Int J Elec & Comp Eng ISSN: 2088-8708 
An analysis of energy saving through delamping method (Mohd Firdaus Mohd Ab Halim)
1575
BIOGRAPHIES OF AUTHORS
Mohd Firdaus bin Mohd Ab Halim worked in Sony, Intel and Qimonda before joining research
institution in 2012. The preference of his research were mainly on energy efficiency, motor control
and electrical vehicle. Besides that he led more than 5 research grants and contribute to more as
member in 10 research grant. He is now an important member of Faculty of Engineering Technology,
UTeM
Dr.-Ing. Mohd Nazri Bin Omar was awarded Ph.D in Energy Engineering last 2015 from the
Technical University Berlin, Germany. A member of the Energy Insitute of the UK just recently, he is
a Professional Technologist (Ts.) of the Malaysian Board of Technologist (MBOT). He is now
working on a Bio-Diesel Plant (of the National Professors’ Council) as well as several Private-Public
Research Network (PPRN) grants, and teaching Thermodynamics for the School of Manufacturing
Engineering’s students.
Mohamad Haniff bin Harun received his B.Eng degree in Mechatronic Engineering from Universiti
Teknikal Malaysia Melaka (UTeM), in 2010. He received the M. Eng degree in Electrical Engineering
also from Universiti Teknikal Malaysia Melaka (UTeM), in 2013. Currently he is a Lecturer at
Universiti Teknikal Malaysia Melaka (UTeM) and his interests are in machine vision system,
mechatronic system and automation system
Muhamad Faizal bin Yaakub CEng, MIET was born in Johor, Malaysia in 1981. In 2004 he
received his B.Eng (Hons) degree in Electric-Electronic engineering form Universiti Teknologi
Malaysia and in 2013, he received his M.Eng in Electrical Engineering form Universiti Tun Hussein
Onn Malaysia. He has 5 years’ experience in ASIC Test and Development in STMicroelectronics. He
is currently a researcher and lecturer in Universiti Teknikal Malaysia Melaka. He is registered as
Chartered Engineer with UK Engineering Council and a member of Institute of Engineering and
Technology. His research interest includes the field of multilevel inverter, sustainable energy
technology and power quality engineering.
Khalil Azha Mohd Annuar, received his B.Eng degree in Electrical Engineering (Electronic) from
Universiti Teknologi Malaysia (UTM), in 2006. He received the M.Eng degree in Mechatronics and
Automatic Control engineering also from UTM, in 2014. Currently, he is a Lecturer at Universiti
Teknikal Malaysia Melaka (UTeM) and his interests are in control system and artificial intelligent.

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An analysis of energy saving through delamping method

  • 1. International Journal of Electrical and Computer Engineering (IJECE) Vol. 9, No. 3, June 2019, pp. 1569~1575 ISSN: 2088-8708, DOI: 10.11591/ijece.v9i3.pp1569-1575  1569 Journal homepage: http://iaescore.com/journals/index.php/IJECE An analysis of energy saving through delamping method Mohd Firdaus Mohd Ab Halim1 , Muhamad Faizal Yaakub2 , Mohamad Haniff Harun3 , Khalil Azha Mohd Annuar4 , Farriz Hj Md Basar5 , Mohd Nazri Omar6 1,2,3,4.5 Center for Robotics and Industrial Automation, Universiti Teknikal Malaysia Melaka, Malaysia 6 Pusat Pengajian Kejuruteraan Pembuatan, Universiti Malaysia Perlis, Malaysia Article Info ABSTRACT Article history: Received Aug 13, 2018 Revised Nov 23, 2018 Accepted Dec 15, 2018 Electrical energy consumption is one of the focus areas in Green and Sustainable technology in the 21st century. Many energy consultants offers services to reduce the electricity consumption to the commercial consumer. Many proposals are focusing on selling their energy management system product which cost a lot of initial investment. The problem of applying energy management system is that the building needs major renovation. In this paper, electricity consumption is reduced through delamping method. The delamping is strategizing based on energy efficiency audit. This technique complies with the ASHRAE international standard for office building. The number of light reduced and electricity consumption from this exercise can translate into reduction of maintenance and electricity bill. The comparison of payback period for various energy saving techniques were discussed as well. Keywords: Delamping method Energy Audit Energy efficiency Lighting power density Payback period Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Mohd Firdaus Mohd Ab Halim, Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal Melaka, Malaysia. Email: mohd.firdaus@utem.edu.my 1. INTRODUCTION In the latest united nation conference on climate change, 195 nations gathered in Paris to show their commitment on reducing greenhouse gas emission [1]. Many countries had set out specific measures to reduce the energy generation from the conventional power plant as it is the main causes of the world environmental impact. One of the measures planned by many countries was to reduce the energy consumption of all buildings through country’s energy policy and regulation. The efficient management of electrical energy regulation 2008 is one of the tools to show Malaysia’s pledge to contribute to a greener world by reducing the carbon emission intensity by 40% by the year 2020. One of the key initiatives by Malaysia’s government is to implement energy audit in building and industries [2]. Energy represents nearly 30% of total expenditures for the typical administrative building, which is a significant operational cost deserving of management attention [3]. Tackling these expenses would not only reduce the operational cost but also in line with the pledge made by the authority. Average electricity consumption breakdown (%) is shown in Figure 1. The potential energy saving can come from any of the load. There are many ways to reduce the electricity bills in administrative building such as through energy awareness campaign, replacing low efficiency appliance with a better efficiency, increase the set-point of the HVAC system and etcetera. Lighting system contributes about 20% of the total energy expenses in commercial building. In this paper, the delamping method is proposed to reduce electricity bill in office building. There are many research article discuss about the possibility of managing the light efficiently through the use of sensor, timer, and the use of LED. Intelligent lighting system in [5] clarified that the problem of implementing the intelligent lighting system is the actual wiring of the building is complex. Hence, adopting the same system to other office building is not possible unless the wiring configuration is identical. Furthermore, the sensing module to provide input to the controller is not cheap.
  • 2.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 9, No. 3, June 2019 : 1569 - 1575 1570 Figure 1. Electricity consumption breakdown in 2013 [4] Lighting system energy efficiency can be achieved also by replacing the lamp type according to the human visual condition. The study in [6] focuses on the street lighting system as it represents the condition of photopic and scotopic. The study found that the Metal Halide (MH) lamp has the lowest implementation cost over 10 years. However, MH lamp lost 50% of its light output at 20,000 hours. Considering this fact, LED is still cost effective over 5 year’s period and above. Another study made by [7] used DIALux simulation software to evaluate the efficient lighting scheme for the office buildings through the use of different types of lamps. Based on the simulation result, LED gives the most energy efficient lighting system type for office building. In [8], the study compares the conventional lighting system design of office building versus the Thailand Energy Ministry standard and regulation. Three different sizes of office building were chose to simulate the power of lighting system by various cases, according to illumination standard, and the performance index in term of w/m2 . The simulation result shows that the conventional design does not meet the minimum requirement of the Energy Conservation, Act B.E.2552. In [9], delamping method was used to remove a lamp from a total of 6 lamp in a 46.84m2 area. 2. RESEARCH METHODOLOGY 2.1. Location The lighting system energy audit was performed at Level 1 west wing administration block of the technology campus Universiti Teknikal Malaysia Melaka. We selected this building because it is easy to access and we have many information about building layout, number of tenant and average working hour. The building owner had renovated the building as requested by the faculty to become the lecturer offices. 2.2. Research data A comprehensive room data survey should include other data collection such as temperature, number of appliances connected to the same kilowatt meter and relevant electrical parameters. Figure 2 shows the room data survey during annual energy audit. Figure 2. Room data survey of level 1 west wing administration block of the technology campus Universiti Teknikal Malaysia Melaka No. Room Function Area (m2 ) Temp eratur e (⁰C) Number of users Type Power (Watt) Quantity Usage hours) No. Name Power (Watt) Quantity Usage hours) 1300 25 62 T8 36W 296 9 1 Socket 124 1 Lecturer Room Area T8 36W 51 PC 62 AVR 62 Mesin Fotostat 1 E/L 16 EXIT 4 2 Surau (L) T8 36W 1 3 Pantry T8 36W 6 Socket 13 4 Bilik AHU T8 36W 3 5 Toilet (p) T8 36W 5 Socket 1 6 Toilet (L) D/L 6 Socket 1 7 Bilik Housekeeping T8 36W 2 Socket 4 8 Bilik Seminar T8 36W 93 1 Projector 1 Other EquipmentLamp Level 1 Left Wing
  • 3. Int J Elec & Comp Eng ISSN: 2088-8708  An analysis of energy saving through delamping method (Mohd Firdaus Mohd Ab Halim) 1571 2.3. Lighting layout The way the lighting system installed in this building is shown in Figure 3(a). Each square represent the ceiling size, 4 m x 2 m. The lamp fixtures were fitted on the ceiling. Figure 3(b) is the light distribution curve of the simulated luminaire and Figure 4 shows the distribution of the lamp across the office building. The yellow square represent the lamp fixture consist of two T8 lamps of 36W. (a) (b) Figure 3. (a) Lighting system fitted a t the ceiling (b) Light distribution curve for selected luminaire Figure 4. Lamp distribution at the focus location drawn in Dialux 2.4. Energy auditing The lighting power density, (LPD) for this location is equals to 0.956 W/m2 . The actual value confirms that the office building lighting system is energy efficient. The energy audit data is reconfirmed with DIALux simulation result. The illuminance level for this area is shown in Figure 5. The illuminance level were high at some area and low at other area. The smallest lux level registered is 220 lux while the highest is 550 lux. The average lux for this area is 358 lux. The light fixture is arranged according to the real layout of the office. The luminaire used in this simulation is summarized in Table 1. The room geometry is in Table 2. Table 1. Luminaire Selection Variable Luminaire Parameters Brand Panasonic 2 x FL36W Article No FAC42781ENHE Quantity 115 units Wattage 72 W Luminous flux 3060 lm Fitting 2 x YZ36RN (Correction Factor 1.000) Table 2. Room Geometry Variable Geometry /Values Room Height 2.800 m Mounting Height 2.875 m Maintenance Factor 0.80 Ground Area 791.7 m²
  • 4.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 9, No. 3, June 2019 : 1569 - 1575 1572 Figure 5. Illumination level of the office area 2.5. Delamping Strategy Energy commission in many countries imposes limits on the amount of lighting power installed in the building to promote efficient technology and design. Table 3 shows the LPD limit for different type of building [10]. An office area should not exceed the LPD of 0.9 W/m2 . We obtained 0.887 W/m2 but the lower the LPD the higher the saving we could get. To calculate the number of lamps to be removed, the extra lumens is divided with the the lumens per lamp which yield 4.37 lamps. 𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑙𝑎𝑚𝑝𝑠 𝑡𝑜 𝑏𝑒 𝑟𝑒𝑚𝑜𝑣𝑒𝑑 = 𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝐿𝑎𝑚𝑝 𝑖𝑛𝑠𝑡𝑎𝑙𝑙𝑒𝑑 × 𝑙𝑢𝑚𝑒𝑛𝑠 − 𝑅𝑒𝑞𝑢𝑖𝑟𝑒𝑑 𝑙𝑢𝑚𝑒𝑛𝑠 𝑙𝑢𝑚𝑒𝑛𝑠 (1) Table 3. LPD Limits for Different Type of Building Building Type Maximum Lighting Power Density (W/ft2 ) Allowed Version of the ASHRAE/IES 90.1 Standard in 2010 Dormitory 0.61 Hospital 1.21 Manufacturing Facility 1.11 Office 0.90 Retail 1.40 School/University 0.99 3. RESULTS AND ANALYSIS To further improve the lighting system efficiency, the office location can be divided into two zones, the zone where it involves working on computer, 400-500 lux and passageways between office cubicles 100-150 lux. By rearranging the light according to the task, we could reduce the lighting set thus the NPD values. Figure 6 shows the proposed lamp reduction denoted by green circle area (green isolines labelled in green circle) where the illuminance level is above 500 lux. By considering the task for the given spot, we propose to remove one lamp at every passageways that register illumination values of 400-500 lux. The new NPD after the lamp reduction activities is 0.8447. Annual utility bill saving A is 𝐴 = 𝑛𝑃𝑈 × 𝑇 (2) where n is the number of lamp reduced=5 units, P is lamp power rating=72 W, U is the annual usage=2080 hours and P is the average Tariff=$ 0.15 (USD). Substituting the values yield a saving of $ 111.43 or 5% electricity bill reduction. The tariff is assumed to be $ 0.15. Besides the bill reduction, the carbon footprint 220220 220 220 220 220 220 220 220 220 330 330 330 330 330 330330 330 330 330 330 330 330 330 330 330330 330 330 330 330 330330 330 330 330 330 330 330 330 330 330 330 330 330 330 330 330 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440 440440 440 440 440 440 550 550 550 550 550 550 36.58 m0.00 21.77 m 0.00
  • 5. Int J Elec & Comp Eng ISSN: 2088-8708  An analysis of energy saving through delamping method (Mohd Firdaus Mohd Ab Halim) 1573 would also reduce by the same percentage. The saving can further increased if different luminaire and mounting type is applied at specific location. The natural daylight is not accounted because not all tenant raised the window curtain to allow sunlight to support the internal lighting system. Nevertheless, it can be included in future investigation combining probability study. The bigger the area, the higher the benefits to the building owner. The labour cost for each lamp relocation is $ 6.00. Hence within 3 months the investment has recovered. Table 4 compares the investment cost and saving for the area size 8571m2 (similar area and layout as in Figure 4). Figure 7 shows the projection of saving for 3 different lighting system. Figure 6. Proposed lamp reduction denoted by green circle Table 4. Yearly Saving and Investment for Different Lighting System Method of lighting system *Motion sensor control switch in the corridor (4 hours) **Retrofit 196 units of CFL to LED Delamping – relocate lamp and remove redundancy Saving (USD) 202 792.5 111.43 Investment (USD) 540 5880 30 Payback period (years) 2.6 7 0.3 *18 units of lamp at the main corridor consumption reduced to 50% when motion sensor are installed in that area. Motion sensor cost per light $15 **72 Watt CFL equivalent to 26 Watt LED. 98 units of CFL bulb is replaced with 98 units of LED bulb. T8 LED bulb is 4 times more expensive than normal CFL. Figure 7. Projection of saving for 3 different lighting system
  • 6.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 9, No. 3, June 2019 : 1569 - 1575 1574 4. CONCLUSION The measures in reducing greenhouse gas emission shown by the Malaysian government is unarguably one of the best measures in the region. Commercial and business building should take the opportunity to utilize all the measures not only to show their togetherness in creating healthier environment but also benefits them in overall operational cost through utility expenses. Nevertheless getting to the goal of reducing the utility bill requires some knowledge in energy efficiency. A simple method to realize the saving is through employee awareness talk of how switching off the light when not in use or closing the window when air conditioning is in operation can help the company. Even by replacing or planning the electric lighting installation with energy-efficient T5 fluorescent lamps-luminaires and CFL for task lighting can contribute to cost efficient lighting system [11]. Another method discussed in this paper also provides general rules of optimizing the illumination of lighting system in an office area without investing in LED's or energy management system product. However reducing the lamp through this activities should not compromise the minimum illumination level required by the office area. Same rule applies to the initiative to change the set- point of air-conditioning. If the employee become uncomfortable while implementing energy saving activities, then it is called scarifying a little comfort zone for the benefits of the company. If this kind of direction is shown to the employee, the company may faces low employee productivity in the future. Investing in energy efficiency system can be expensive but the payback period is within 2-7 years. If the company has the capital to proceed with such initiative, then it would give high good impression of the company's reputation in contributing towards clean and greener community. As for the conclusion, Delamping method helps small company to save electricity bills and contribute to the environment with minimum investment. ACKNOWLEDGEMENTS I would like to thanks to Universiti Teknikal Malaysia Melaka through the Research and Innovation Centre and Fakulti Teknologi Kejuruteraan for its financial support in this research. This paper financed under UTeM matching grant GLUAR/CARVELLO/2017/FTK-CERIA/I00023. Special thanks to Kementerian Pendidikan Tinggi Malaysia for offering various research grants opportunity to our research. REFERENCES [1] Ab Halim M.F.M., Azlan U.A.-A., Harun M.H., Annuar K.A.M., Mustafa M., Johari S.H., Abdullah A.R., Hushim M.F., “Lighting Retrofit Scheme Economic Evaluation,” Indonesian Journal of Electrical Engineering and Computer Science., vol. 5, no. 3, pp. 496-501, 2017. [2] Ministry of Energy, Green Technologies and Water National: “Energy Efficiency Action Plan Draft Final Report 2014”, 2014. [3] Amory Lovins and Rocky Mountain Institute: “Bold Business Solutions for the New Energy Era. Major Commercial Building Category Expense by Building Type for Commercial Sector,” Reinventing Fire, 2011. [4] U.S. Energy Information Administration: “Electricity Consumption by Sector,” Annual Energy Outlook 2014 Early Release, 2014. [5] Yoshihiro Kasahara, Mitsunori Miki and Masato Yoshimi: “Preliminary Evaluation of the Intelligent Lighting System with Distributed Control Modules,” International Conference on Intelligent Systems Design and Applications, vol. 11, 2011. [6] J. Fraytag, M. F. da Silva, N. B. Chagas, R. N. do Prado, and M. A. Dalla Costa: “Lighting Systems Energy Efficiency based on Different Human Visual Conditions,” IEEE/IAS International Conference on Industry Applications, vol.9, 2010. [7] Prashant Kumar Soori, Safaa Alzubaidi: “Study on Improving the Energy Efficiency of Office Building’s Lighting System Design,” IEEE GCC Conference Exhibition Dubai, 2011. [8] Surasak Panj Avaranont, Pornrapeepat Bhasaputra, Woraratana Pattaraprakorn, Kitti Tirawannavit, Chaiyapat Kumpeerakupt, Somkuan Rimsmutchai, Natapongkorn Pawanawichien: “The Optimal Design of Lighting Systems for Designated Office Building in Thailand According to Ministerial, the Type or Size of Building Standards and Rules and Procedures, Building Design for Energy Conservation, Act B.E.2552,” International Conference and Utility Exhibition on Power and Energy Systems: Issues & Prospects for Asia, 2011. [9] R. Lakshmanan, A. K. Ramasamy, S. K. Ahmed and R. Sinnadurai, “Efficient illumination design and energy saving through occupancy control for building,” IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (CSUDET), Selangor, pp. 80-85, 2013. [10] American Society of Heating, Refrigerating, and Air-Conditioning Engineers: “Standard 90.1-2013,” Energy Standard for Buildings Except Low-Rise Residential Buildings, 2010. [11] M.-C. Dubois, Å. Blomsterberg: “Energy Saving Potential and Strategies for Electric Lighting in Future North European, Low Energy Office Buildings: A Literature Review,” Energy Buildings, vol.43. no. 10, 2011.
  • 7. Int J Elec & Comp Eng ISSN: 2088-8708  An analysis of energy saving through delamping method (Mohd Firdaus Mohd Ab Halim) 1575 BIOGRAPHIES OF AUTHORS Mohd Firdaus bin Mohd Ab Halim worked in Sony, Intel and Qimonda before joining research institution in 2012. The preference of his research were mainly on energy efficiency, motor control and electrical vehicle. Besides that he led more than 5 research grants and contribute to more as member in 10 research grant. He is now an important member of Faculty of Engineering Technology, UTeM Dr.-Ing. Mohd Nazri Bin Omar was awarded Ph.D in Energy Engineering last 2015 from the Technical University Berlin, Germany. A member of the Energy Insitute of the UK just recently, he is a Professional Technologist (Ts.) of the Malaysian Board of Technologist (MBOT). He is now working on a Bio-Diesel Plant (of the National Professors’ Council) as well as several Private-Public Research Network (PPRN) grants, and teaching Thermodynamics for the School of Manufacturing Engineering’s students. Mohamad Haniff bin Harun received his B.Eng degree in Mechatronic Engineering from Universiti Teknikal Malaysia Melaka (UTeM), in 2010. He received the M. Eng degree in Electrical Engineering also from Universiti Teknikal Malaysia Melaka (UTeM), in 2013. Currently he is a Lecturer at Universiti Teknikal Malaysia Melaka (UTeM) and his interests are in machine vision system, mechatronic system and automation system Muhamad Faizal bin Yaakub CEng, MIET was born in Johor, Malaysia in 1981. In 2004 he received his B.Eng (Hons) degree in Electric-Electronic engineering form Universiti Teknologi Malaysia and in 2013, he received his M.Eng in Electrical Engineering form Universiti Tun Hussein Onn Malaysia. He has 5 years’ experience in ASIC Test and Development in STMicroelectronics. He is currently a researcher and lecturer in Universiti Teknikal Malaysia Melaka. He is registered as Chartered Engineer with UK Engineering Council and a member of Institute of Engineering and Technology. His research interest includes the field of multilevel inverter, sustainable energy technology and power quality engineering. Khalil Azha Mohd Annuar, received his B.Eng degree in Electrical Engineering (Electronic) from Universiti Teknologi Malaysia (UTM), in 2006. He received the M.Eng degree in Mechatronics and Automatic Control engineering also from UTM, in 2014. Currently, he is a Lecturer at Universiti Teknikal Malaysia Melaka (UTeM) and his interests are in control system and artificial intelligent.