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OCCUPANT DENSITY AND DAYLIGHT ILLUMINANCE LEVEL
FLUCTUATION FOR OFFICE BUILDING IN MALAYSIA
ELINA BINTI MOHD HUSINI
UNIVERSITI TEKNOLOGI MALAYSIA
iv
OCCUPANT DENSITY AND DAYLIGHT ILLUMINANCE LEVEL
FLUCTUATION FOR OFFICE BUILDING IN MALAYSIA
ELINA BINTI MOHD HUSINI
A thesis submitted in fulfilment of the
requirements for the award of the degree of
Doctor of Philosophy (Architecture)
Faculty of Built Environment
Universiti Teknologi Malaysia
MARCH 2016
iii
Specially dedicated to my husband, children, parents, and family
iv
ACKNOWLEDGEMENT
Part of my tomorrow depends on this achievement as this thesis has not been
possible to produce without the mercy, blessing and help from the greatest Allah.
The work done on this thesis is not been realized without the implicit support and
priceless advise from all people who go through the path together with me. I wish to
express my appreciation to Assoc. Prof. Dr. Mohd Zin Kandar and Ar. Assoc. Prof.
Dr. Dilshan Remaz Ossen for their guidance, support and faith in my abilities to
complete this thesis. Their countless hours, encouragement and passionate to share
their experience in conducting research is inscribed in my memory.
A special thanks to Public Service Department of Malaysia for awarding me
this scholarship namely ‘Hadiah Latihan Persekutuan Session 2011’, Prof. Dr. Mohd
Hamdan Ahmad for your support, En. Zaini (Head of Electrical Department of
Public Works Department, Malaysia) and staff, Ar. Yong Razidah (Head of
Research and Innovative Department of Public Works Department, Malaysia) and
staff LKMD Sdn. Bhd and students of Diploma in Architecture in Razak’s School
Session 2014/2015, Universiti Teknologi Malaysia.
I also wish to express my strongly gratitude and dedicated this thesis to my
beloved husband, Azrin, my daughter, Adriana and son, Amir Razin and Ilham for
your great understanding spiritually, the hardship, the source of strength and
unconditional love. My dedication and thankful also goes to my beloved mother,
Masripah, father, Mohd Husini Tahir, and siblings, Eziany and M. Ainuddin.
Despite all of this help, I would like to especially thank my best friends, Dr.
Haslina Jaafar, Ar. Fadli Arabi, Ar. Wan Norisma Ismail, Azlina Abd. Hamid for the
support and never stop giving me the advice.
v
ABSTRACT
Daylighting has yet to be fully utilised in the office interiors even though
Malaysia has abundant natural light throughout the year and highly dependent on
artificial lighting. However, there is always fluctuation of illuminance in office
spaces and this can cause problems to occupants which affect visual and work
performance. The aim of this study is to investigate fluctuation in daylight
illuminance that affects visual comfort and visual performance. This study also
investigates the effects of occupant density in office space in a typical layout of
office building. In the first phase of the study, a visual test has been conducted
involving seventy two office workers and assessment using a questionnaires survey
on one hundred and eighty one office workers. Experiment through visual test was
conducted in the office space which involved groups of occupants in office
buildings. Furthermore, four groups of office workers numbering five, ten, fifteen
and twenty per group were subsequently assigned to the office to detect fluctuations
by computer simulation using IES<VE> Software. The result of the experiment
evidenced that the level of illuminance in the office was 300 lux to 400 lux while
preferred illuminance level was 280 lux to 350 lux. However, the occupants
performed their tasks well in higher illumination range of 400 lux to 600 lux.
Findings from experiment of visual performance and daylighting simulation showed
there was fluctuation influenced by the number of occupants. When occupancy was
less than 50%, the fluctuation was acceptable for visual comfort. However, when the
occupancy was more than 50%, it would lead to higher fluctuation and the
illumination level of recommended standard (300 lux to 400 lux) was not achievable.
The findings contribute towards the improvement of an acceptable visual comfort
ranges for Malaysian Standard of lighting condition and assist architects and
designers to have better understanding in quality and quantity of daylighting and
strategies on energy saving.
vi
ABSTRAK
Pencahayaan siang masih belum dimanfaatkan sepenuhnya di dalam ruang
pejabat walaupun Malaysia mempunyai pencahayaan yang berlebihan sepanjang
tahun dan amat bergantung kepada pencahayaan tiruan. Namun, sering terdapat
iluminasi pencahayaan yang berubah-ubah di dalam ruang pejabat dan
menimbulkan masalah kepada penghuni kerana mempengaruhi prestasi visual dan
kerja. Tujuan kajian ini adalah untuk mengkaji keadaan berubah-ubah iluminasi
pencahayaan siang yang memberi kesan kepada keselesaan serta prestasi visual.
Kajian ini juga mengkaji kesan kepadatan penghuni pejabat di dalam ruang kerja
terhadap susunatur piawai bangunan pejabat. Pada tahap pertama kajian, melalui
ujian visual yang dijalankan melibatkan tujuh puluh dua orang pekerja pejabat dan
penilaian menggunakan kajian selidik dari seratus lapan puluh satu pekerja pejabat.
Kajian eksperimen melalui ujian visual di ruang pejabat melibatkan kumpulan
penghuni telah dijalankan di bangunan pejabat. Tambahan pula, empat kumpulan
pekerja pejabat yang berjumlah lima, sepuluh, lima belas dan dua puluh
kemudiannya dimasukkan ke dalam pejabat untuk mengesan keadaan berubah-ubah
oleh simulasi komputer dengan menggunakan Perisian IES <VE>. Keputusan
daripada kajian lapangan kaji selidik membuktikan bahawa tahap iluminasi di
dalam pejabat yang diperolehi dalam keadaan sedia ada adalah 300 lux hingga 400
lux sementara tahap iluminasi yang dikehendaki adalah 280 lux hingga 350 lux.
Walaubagaimana pun, pencapaian penghuni adalah lebih baik dalam tugasan pada
tahap iluminasi yang lebih tinggi iaitu 400 lux hingga 600 lux. Penemuan daripada
eksperimen pencapaian visual dan simulasi pencahayaan semulajadi menunjukkan
terdapat keadaan iluminasi yang berubah-ubah dipengaruhi oleh pertambahan
bilangan orang di dalam pejabat. Impak daripada penghunian yang berkurangan
dari 50% menunjukkan tahap keadaan yang berubah-ubah masih boleh diterima
untuk keselesaan visual. Apabila penghunian yang melebihi 50% akan
menyebabkan pertambahan keadaan yang berubah-ubah lebih tinggi dan tidak
mencapai tahap iluminasi piawaian iaitu (300 lux hingga 400 lux). Penemuan ini
menyumbang ke arah penambahbaikan julat keselesaan visual yang boleh diterima
untuk keadaan pencahayaan dalam Piawaian Malaysia dan membantu para arkitek
dan pereka untuk pemahaman yang lebih baik dalam kualiti dan kuantiti
pencahayaan siang serta strategi penjimatan penggunaan tenaga.
vii
TABLE OF CONTENTS
CHAPTER TITLE PAGE
DECLARATION ii
DEDICATION iii
ACKNOWLEDGEMENT iv
ABSTRACT v
ABSTRAK vi
TABLE OF CONTENTS vii
LIST OF TABLES xiii
LIST OF FIGURES xvii
LIST OF ABBREVIATIONS xxiii
LIST OF SYMBOLS xxiv
LIST OF APPENDICES xxv
1 INTRODUCTION 1
1.1 Introduction 1
1.2 Problem Statement 3
1.3 Research Questions 6
1.4 Research Aim and Objectives 6
1.5 Research Gap 7
1.6 Scope of Study and Limitation 10
1.7 Significance of the Study 11
1.8 Thesis Structure 12
1.9 Conclusion 13
2 LITERATURE REVIEW 15
2.1 Introduction 15
2.2 Principle of Lighting 16
2.2.1 Theory of Absorption 17
2.2.2 Transmission, Reflection and Refraction 20
2.2.3 Impact of Light Absorption to Humans 21
2.2.4 Illuminance 22
2.3 Visual Comfort in Office Environment 24
2.3.1 Visual System 26
viii
2.3.2 Visual Quality 28
2.3.3 Assessment of Visual Performance and
Visual Tasks 28
2.3.3.1 Illuminance and Criteria of Task
Illuminance 32
2.3.4 Fluctuation of Illuminance 34
2.4 Effect of Daylight on Humans 36
2.4.1 Daylight Quantity, Lighting Quality and
Energy Saving 39
2.4.2 User Perception, Preferred Illuminance
Level and Human Satisfaction in
Daylighting 40
2.4.3 Daylight Illuminance in Office Buildings 43
2.4.4 Review of the History of Illuminance
Levels 44
2.4.5 Parameters that Influence Visual Comfort 45
2.5 Daylight Zone and Daylight Metric Performance 46
2.5.1 Horizontal Illuminance 50
2.5.2 Daylight Factor 50
2.5.3 Illuminance Ratio 52
2.6 Daylight in Office Design 52
2.6.1 Review of Existing Office Buildings in
Malaysia 54
2.6.1.1 Sky Conditions in Malaysia 56
2.6.2 Daylight Illuminance Level in Office
Buildings 57
2.6.3 Window Design 57
2.6.4 Room Layout and Room Size 59
2.6.5 Occupant Density And Room Index 62
2.6.6 Building Organization 64
2.6.6.1 Density 64
2.6.7 Fluctuation of Illuminance in Offices 66
2.6.7.1 Effect of Illuminance Change
under Daylight 67
2.6.7.2 Effect of Illuminance Change
under Different Sky Conditions 68
2.6.7.3 Effect of Illuminance Change on
Fatigue and Mood 68
2.6.7.4 Effect of Illuminance Change
under Window and Building
Facade 69
2.6.8 The Computer Simulation Approach 69
2.6.8.1 Simulation Setting 69
2.7 Recommendation of Lighting Level 70
2.7.1 Local Regulations and Lighting Guidelines 73
2.8 Summary 75
ix
3 RESEARCH METHODOLOGY 76
3.1 Introduction 76
3.2 Research Purpose and Framework 76
3.3 Research Methodology 78
3.3.1 Limitation 79
3.4 Research Procedure 81
3.5 Research Phase and Working Planning 81
3.5.1 Survey 84
3.5.2 Experiment 2 89
3.6 Data Collection 91
3.6.1 Field Investigation 91
3.6.1.1 Data Collection Procedure 92
3.6.1.2 Field Measurement Procedure 97
3.6.1.3 Data Analysis 99
3.6.2 Questionnaire 99
3.6.2.1 Data Collection Procedure 100
3.6.2.2 Data Analysis 107
3.6.3 Visual Performance Test 108
3.6.3.1 Data Collection Procedure 110
3.6.3.2 Experiment Set-Up 110
3.6.3.3 Data Analysis 116
3.6.4 Computer Simulation 119
3.6.4.1 Limitations 119
3.6.4.2 Simulation Procedure 120
3.6.4.3 Modeling Approach: Base Case 121
3.6.4.4 Observation 124
3.7 Summary 124
4 ANALYSIS AND RESULT 125
4.0 Introduction 125
4.1 Analysis and Result 1 : Introduction 125
4.1.1 Survey : Preferred Lighting Condition
( Objective 1) 127
4.1.1.1 Preferred Lighting Condition by
Occupants for Office Buildings in
Malaysia 127
4.1.1.2 Findings from Questionnaires of
Six Office Buildings in Malaysia 134
4.1.2 Survey : Preferred Illuminance Level by
Occupants in Daylight Condition for Office
Buildings 134
4.1.3 Factors Influencing Preferred Daylight
Level by Occupants 138
4.1.4 Summary 143
4.2 Analysis and Result 2 : Introduction 143
x
4.2.1 Experiment 1 : Illuminance Level and
Visual Performance (Objective 2) 145
4.2.1.1 Factors Influencing Illuminance
Level and Visual Performance 149
4.2.1.2 Findings 158
4.2.2 Experiment 2 : Fluctuation Of Daylight
Illuminance Level (Objective 3) : 160
4.2.2.1 Optimum Fluctuation Discomfort
Based on Occupant Density 161
4.2.2.1.1 Result of UTM MJIIT
Office Building 161
4.2.2.1.2 Result of TIMA
Building 170
4.3 Analysis and Result 3: Introduction 185
4.3.1 Acceptable Range of Daylight Fluctuation
of Different Room Configurations
(Objective 4) 185
4.3.1.1 Prediction Model of Illuminance
Fluctuation by Different Room
Size 185
4.3.1.2 Results of Five Rooms were
Based on Occupancy Number,
Percentage of Fluctuation
Distance of Daylight Zone and
Daylight Factor 188
4.3.2 Overall Results 206
4.3.3 Summary 211
5 Conclusion 212
5.1 Introduction 212
5.2 Main Research Findings 213
5.3 Contribution of he Research 215
5.4 Recommendation 216
5.5 Summary 217
REFERENCES 218
Appendices A1 - D4 235-257
xi
LIST OF TABLES
TABLE NO. TITLE PAGE
1.1 Past studies on lighting and illuminance level 9
2.1 Current visual comfort criteria 25
2.2 Glare criteria based on glare index 30
2.3 Performance indicators and their interpretations 39
2.4 Lighting quantity and lighting quality 40
2.5 Metrics used to assess daylight quality in the offices of
the’ Caisse de Depot et Placement’ 49
2.6 Summarizes the average daylight factor required in an
interior to give a satisfactory daylit environment 51
2.7 Distribution of energy consumption in Malaysian
buildings (%) 55
2.8 Factors that captured in the study of building energy
efficiency technical guideline for passive design 58
2.9 Standard room size according to hierarchy 60
2.10 Open-plan office density and environmental satisfaction 65
2.11 Recommendation from various countries 73
2.12 Recommended average illuminance levels 74
2.13 Comparison of recommendation in various lighting
performance indicators for office cultural habits, such as
spending part of the day outside 74
2.14 Indoor daylight illuminants 75
3.1 Summary of data collection and analysis for field
investigation techniques
85
xii
3.2 Procedure for survey 88
3.3 Procedure for experiment 1 88
3.4 Study variables 91
3.5 Occupancy pattern and optimum performance zone on
visual test 113
3.6 Occupancy pattern 114
3.7 Procedure of realizing visual test program 115
3.8 Average daylight measurements on each work surface
and its visual field 117
4.1 Descriptive statistic: mean rated distribution of daylight
in workplace 129
4.2 Do you consider daylighting when arranging your
office? 130
4.3 Window in the office 131
4.4 The importance of side window in office 132
4.5 The percentage of comfortable level in daylighting 136
4.6 Percentage of subjects feeling natural daylight distracts
from visible ability 137
4.7 The illuminance ranges of preferred and performed 138
4.8 Mean of preferred in quality of daylighting 140
4.9 The advantages of window 141
4.10 Mean of variables used for experiment for office room
in Mid Valley 141
4.11 Mean of variables used for experiment for office room
in MJIIT 142
4.12 Mean of variables used for experiment for office room
in TIMA 142
4.13 The ranges of preferred illuminance level and
performance level achievement 146
4.14 Mean score and standard deviation 147
4.15 Anova table of visual test 147
xiii
4.16 Comparison of scores and speed and ranges of
illuminance level 148
4.17 The effect of illuminance change at daylight zone of
three office buildings 150
4.18 The effect of illuminance change at window-to-wall
ratio of 70% 151
4.19 Mean response in the room with less than 300 lux 156
4.20 Mean response in the room based on 300-400 lux 156
4.21 Mean rated in the room based on more than 400 lux
(401-600 lux) 157
4.22 Summary of mean rated in the experimental room in
three ranges of illuminance level 157
4.23 Pearson correlation between illuminance level (lux) and
occupant 162
4.24 Pearson correlation and occupant density, range of lux,
performance mark and room distance in MJIIT office
building 162
4.25 The percentage of fluctuation in zone A 167
4.26 Average DF at zone A, B and C at MJIIT building based
on three points 168
4.27 Percentage of fluctuation 168
4.28 Occupancy density of MJIIT office 170
4.29 Correlation between illuminance level and occupancy 171
4.30 Correlation between illuminance level ( lux) and
performance 171
4.31 Summary of average illuminance level at zones A, B
and C at TIMA Building 172
4.32 Summary of illuminance level at zones A, B and C 172
4.33 Comparison of correlation between rooms at MJIIT and
TIMA office buildings 174
4.34 Comparative of significant of R square between rooms
at MJIIT and TIMA buildings 175
4.35 Average fluctuation measured in daylight factor (DF)
for MJIIT and TIMA buildings from 1100 to 1300 with
xiv
15-minute time intervals 176
4.36 Percentage of fluctuation and illuminance level for
rooms at MJIIT and TIMA buildings 176
4.37 Numbers of occupants and variables for computer
simulation 179
4.38 Room A: percentage fluctuation based on occupancy 190
4.39 Fluctuation based on occupancy and time 192
4.40 Percentage of fluctuation based on occupancy density 195
4.41 Percentage of fluctuation 198
4.42 Percentage of fluctuation and distance 201
4.43 Fluctuation based on the distance and occupant density 204
4.44 Highest percentage of fluctuation in five room
configurations 206
4.45 Daylight factor and distance in five rooms
configurations 208
4.46 Acceptable range of daylight fluctuation of different
room configurations 209
xv
LIST OF FIGURES
FIGURE NO. TITLE PAGE
1.1 Summary of thesis structure 14
2.1 The visible spectrum 16
2.2 Concept of absorption 17
2.3 Lambert’s law of absorption 17
2.4 Heat balance mechanisms for the human body 19
2.5 Transmission and refraction 20
2.6 The visible spectrum and specular vs. diffuse 21
2.7 The skin, hypodermis and chromophores 21
2.8 Influence of daylight on visual comfort. 23
2.9 The semi-lattice relationship of environmental
parameters of indoor comfort 24
2.10 Section of the human eye 26
2.11 A conceptual framework setting out the routes that can
influence human performance 29
2.12 Letter test with higher luminance and low luminance 30
2.13 An example of pseudo text displayed as a block of
characters 31
2.14 Different angular positioning of The Landolt C Gap 32
2.15 Diagram of subjects under study 33
2.16 Variables used in the analysis that influence the
decision of preferred illuminance level
42
2.17 Rule of thumb of daylit zone for windows without
shading devices 47
xvi
2.18 Rule of thumb of daylit zone for windows with
shading devices 47
2.19 Task zoning according to Malaysian context, which
calculated WPI for optimum case during overcast day
with 20,000 lux external illuminance 47
2.20 Private office layout with modulation: single loaded
and double loaded 59
2.21 Possible layouts for individual room and open-plan
offices according to EPU standards and JKR structural
grid standards for office buildings 60
2.22 Isometric view showing the five room ratios 61
3.1 Conceptual framework of the study 78
3.2 Flow chart of the process 80
3.3 Research phase 83
3.4 Selected office buildings for survey (questionnaires) 87
3.5 The three different illuminance ranges were used to
conduct field measurement, visual test and
questionnaires 89
3.6 Malaysia-Japan International Institute of Technology
(MJIIT) 90
3.7 The Lutron digital light meter LX100 94
3.8 Data logger 94
3.9 Light meter (OHM LP-PHOT 01) with data loggers for
indoor illuminance 94
3.10 Menara TIMA office tower 95
3.11 Mid Valley office tower (a) a front view and (b) Floor
plan 96
3.12 Malaysia-Japan International Institute of Technology,
Universiti Teknologi Malaysia (MJIIT - survey and
experiment) 97
3.13 Flow chart of section 1 to achieve Objective 2 99
3.14 Flow chart of how to derive results from experiment 1
and experiment 2
109
xvii
3.15 The design process of the experiment 111
3.16 Room size for experimental in MJIIT 112
3.17 (i) An experimental set-up room within sun patch (ii)
Experimental set-up for the research 113
3.18 Seating facing the window 118
3.19 Simulation Procedure 120
3.20 Flow chart of base model 121
3.21 Five types of room modeling 121
3.22 Office base model configuration 122
3.23 Tool modeling and rendering: rendering of scene for
lighting analysis process 123
4.1 Flow chart of work process in Chapter 4 126
4.2 Percentages of lighting preference in offices 127
4.3 Percentage of occupants that found lighting was
distributed evenly in the office room 128
4.4 Are you comfortable with the daylighting that
penetrates through the window of your office room 130
4.5 Percentage of occupants’ responses in regards to items
that need to be improved in current condition in the
office 133
4.6 Room configuration and respondents from deep room,
linear room and center of the building 133
4.7 Mean rating based three factors in daylighting 139
4.8 Flow chart of work process 144
4.9 Percentage of performance by subjects from crosstab
tabulation
148
4.10 Occupants setting during visual test performance
starting at point A (1500 meters from window)
150
4.11 Examined window size of 70% window-to-wall ratio 151
4.12 Range of performed lux at three office buildings 152
4.13 Occupancy density and lux level 153
xviii
4.14 Percentage of daylight distraction by 5 occupants
based on lux level 0-299 lux
154
4.15 Percentage of daylight distraction by 10 occupants
based on lux level 0-299 lux
154
4.16 Percentage of daylight distraction by 15 occupants
based on lux level 0-299 lux
155
4.17 Percentage of daylight distraction by 20 occupants
based on lux level 0-299 lux
155
4.18 The optimal performance zone in A room 159
4.19 Work process 160
4.20 Occupants in the experiment room 163
4.21 Experiment room with occupants 163
4.22 Group A and Group B in the test room 163
4.23 Setting of the experimental room without subjects 164
4.24 Subjects in the daylight zone at a range of 400 lux to
600 lux
164
4.25 (i) False color (ii) Average illuminance level based on
three points
165
4.26 Percentage Score Of Visual Test Performance 165
4.27 Average global illuminance (outdoor lux - 13554 lux) 166
4.28 Fluctuation of illuminance level during increasing
number of occupants
167
4.29 Percentages of fluctuation and occupant density 169
4.30 (i) False color at maximum occupancy in MJIIT office
room (ii) 3D modelling
170
4.31 Fluctuation of illuminance and occupant density 173
4.32 Position of subjects at zones A, B and C for
experiment room in TIMA Building
174
4.33 Pattern of daylight factor (DF) with time 175
4.34 Coefficient of determination on fluctuation based on
distance (meters)
177
xix
4.35 Daylight illuminance fluctuation based on distance at
zone A
178
4.36 Daylight illuminance fluctuation at zone B 178
4.37 Daylight illuminance fluctuation at zone C 178
4.38 Daylight illuminance fluctuation at zone D 179
4.39 False image in empty room 180
4.40 The first group of five subjects inserted in a room 180
4.41 Increased number of occupants to ten subjects 181
4.42 Increased number of occupants to fifteen subjects 181
4.43 Increased number of occupants to twenty subjects 182
4.44 Fluctuation of illuminance for MJIIT office building
based on simulation
183
4.45 (i) Minimum occupancy and (ii) maximum occupancy 183
4.46 Daylight factor measurement based on occupant
density
184
4.47 Simulation procedure 186
4.48 The program of modeling and rendering based on
occupant density
187
4.49 Room A: distance of daylight zone and occupancy 189
4.50 Room A: percentage of daylight factor when 0
occupant in the experiment room
191
4.51 Room A: percentage of daylight factor when 36
subjects in the experiment room
192
4.52 Fluctuation based on distance and occupancy density 194
4.53 Room B: percentage of daylight factor when 0 subjects
in the experiment room
196
4.54 Room B: percentage of daylight factor 28 subjects in
the experiment room
196
4.55 Fluctuation based on distance and occupant density 197
4.56 Room C: percentage of daylight factor when 0 subjects 199
xx
in the experiment room
4.57 Room C: percentage of daylight factor when 15
subjects in the experiment room
199
4.58 Fluctuation based on distance and occupancy density 200
4.59 Room D: Percentage of daylight factor 2% was
achieved at distance 3.0 meter when 0 occupant
202
4.60 Daylight factor 2% was achieved at distance 3.0 meter
when 30 occupants in room D
202
4.61 Fluctuation based on the distance and occupancy
density
203
4.62 Room E: daylight factor when 0 occupants in the
experimental room
205
4.63 Daylight factor in room E 205
4.64 Significant R Squared for room A to room E 207
4.65 Comparison between measured and simulated data on
overcast sky conditions in selected office buildings
210
4.66 Comparison of fluctuation indoors between overcast
and intermediate sky
210
xxi
LIST OF ABBREVIATIONS
ANOVA - Analysis Of Variance
ASEAN - Association of South East Asian Nations
ASHRAE - American Society of Heating Refrigeration and Air
Conditioning Engineers
BOCA - Building Officials and Code Administrators
International
BPS - Building Performance Simulation tools
CIBSE - Chartered Institute of Building Service Engineers
CIE - Commission Internationale de L’eclairage
DF - Daylight Factor
DGI 22 - Daylight Glare Index
EPU - Economic Planning Unit
IES - Illuminating Engineering Society
IESNA - Illuminating Engineering Society of North America
IES<VE> - Integrated Environmental Solutions <Virtual
Environment>
JKR - Jabatan Kerja Raya
MJIIT - Malaysia-Japan International Institute of Technology
NRC - National Research Council of Canada
PWD - Public Works Department
SPSS - Statistical Package for the Social Sciences
TIMA - Tun Ismail Mohamad Ali Office
UBBL - Uniform Building By Law
UDI - Useful Daylight Illuminance
VC - Visual Comfort
VDT - Visual Display Unit
VP - Visual Performance
WWR - Window to Wall Ratio
xxii
LIST OF SYMBOLS
Dv/Ev - Diffuse to extraterrestrial illuminance ratio
Ei - Interior illuminance (lux)
Ex - Exterior illuminance (lux)
L - Luminance of the light source
WWR - Window to Wall Ratio
xxiii
LIST OF APPENDICES
APPENDIX TITLE PAGE
A1 Various Lighting Indicators for Offices 235
A2 Schematic of Relationship of Stimuli to the Visual
System 237
A3 Guide Ergonomic Design Recommendation 237
B1 Calibration between Measured di: Experiment
Room at Menara TIMA Office 238
B2 Example of Case Study Questionnaires Form 239
B3 Result from Questionnaires 243
B4 Example of Visual Test Form 245
C1 Summary of Selected Office Building on Field
Measurement 246
C2 Experiment Room at Mid Valley Office 248
C3 Summary of Visual Test for Experiment 2 (MJIIT) 250
D1 Daylight Simulation Experiment: Mid Valley
Office 252
D2 Daylight Simulation Experiment (Example Room
C) 254
D3 Fluctuation for Room A 255
D4 Fluctuation for Room B 257
1
CHAPTER 1
INTRODUCTION
1.1 Introduction
Sustainable development strategies are an essential part of preserving the
natural environment, and need to be incorporated in standard or recommended forms
in order to achieve a balanced impact on the environment. The growth in awareness
of sustainable energy consumption and its impacts in Malaysia have been reviewed
to demonstrate energy efficient strategies. Starting with demand and the energy crisis
of the 1990s, the application of energy efficiency focuses on energy consumption,
especially in office buildings. Investigations from Kannan (1999) found offices and
shopping complexes used more than 90% of total energy for lighting and air
conditioning, while residences used less. A study from Zain Ahmed et al. (2008)
found that overall energy consumption for Malaysia was 269 kWh/m2/yr. This shows
that energy consumption in Malaysia, especially in office buildings, has increased
over the years. The standard in Malaysia, named as Malaysia Standard 1525:2014,
was renewed to incorporate improvements for achieving sustainability in all
buildings. Studies from local researchers, institutes and higher learning institutions
on lighting efficiency are rising in order to fulfill the National Goal of Malaysia’s
10th plan - 12
th plan. The purpose is to encourage new buildings to be built with
energy-efficient strategies without compromising human comfort. The current
2
Malaysian Standards and recommendations on lighting levels are regarded as an
effective method of saving electricity and reducing energy consumption in office
buildings. There is a need to clearly define these terms, particularly with regard to
the effects of acceptable lighting conditions on occupants’ visual comfort and
performance in daylit office buildings. Awareness of the importance of indoor
lighting research in office environments needs to be emphasized.
Aries et al. (2010) stressed the importance of lighting quality in indoor
spaces, and examined how office lighting is influenced by architecture, which can be
traced to studies by Chung et al. (2000) and Veitch et al. (1998) on light, the
psychological effects thereof, and how it can affect work quality, levels of comfort,
and satisfaction of office workers. Several studies have proved that demand for
natural lighting is increasing when it affects human performance and comfort in
indoor spaces (Heschong et al., 2003). Based on the International Energy Agency
(IEA) Solar and Heating Cooling Program, Task 31; Daylighting Building in the 21st
century, the building research community must understand the present occupant’s
needs and preferences in daylit spaces, and has an agenda to recognize user
perspectives and requirements.
Nowadays, many office buildings in Malaysia have taken on a more
cosmopolitan feel, with high-rise blocks constructed close to each other. They have
adapted the sustainable approach in designing buildings, but the application of
energy-efficient buildings and occupants’ visual comfort still need to be clearly
addressed. Many researchers have studied adjusting lighting conditions in offices to
reflect occupants’ requirements, since people spend most of their working time in
office buildings (Aries et al., 2010; Schweitzer et al., 2007; Boyce et al., 2003;
Leech et al., 2002). In Malaysia, efforts from local researchers have provided
strategies to increase the availability of daylight and maximize the benefits of natural
lighting in indoor areas, (Zain-Ahmed et al., 2002; Ossen et al., 2005; Loutzenhiser
et al., 2007). However, estimates of the preferred levels and occupants’ satisfaction
of lighting quality need to be standardized in order to tally with the standards and
recommendations in Malaysia. According to Kandar et al. (2011) office buildings in
Malaysia must not only comply with the Malaysia Standard 1525, but must also
3
search for solutions to improve lighting recommendations based on climate factors
and office space requirements.
Previous designers have tended to neglect or overestimate the proportion of
daylight and daylight availability in working areas, which is influenced by window
size, people’s preferences, and satisfaction. Recommended settings of lighting have
not yet reached the needed levels for occupants. A range of illuminance levels is
necessary for occupants to enhance visual performance. Efficient lighting is
important, and under such lighting environments, especially in indoor spaces,
adequate illuminance levels are needed. However, lighting conditions for offices
during preliminary design and in post-occupancy evaluations reveal different levels.
This scenario is only realized when the occupant feels visual discomfort, and more
retrofitting work is needed for a more sustainable working environment. This is also
due to daylight fluctuation in office buildings, which can cause unconscious visual
discomfort due to absorption of lighting in components, which is transmitted to the
interior surface.
This study identifies current office buildings in Malaysia with the integration
of occupant density and daylighting performance, which both affect visual comfort.
The research will begin with an investigation of current condition in daylighting and
illuminance in offices where changes in daylight illuminance levels in a room affect
visual comfort and performance. To accomplish the objective as specified above, the
study will be conducted using four techniques: surveys, field measurements, visual
test performance, and computer simulation. The findings of the study will be inserted
in the lighting requirement, which can also be regarded as part of the criteria in the
recommendation of lighting levels in Malaysia.
4
1.2 Problem Statement
Various sources on lighting conditions have been taken into consideration
when developing current office buildings, by applying the Malaysian Standards and
Recommendations on Lighting Levels. Even though several researchers have found
that there is efficient tropical daylight in offices in Malaysia (Mohd Hamdan, 1996;
Kandar et al., 2011), daylighting designs are still not effective for occupants when
global illuminance, being from a tropical sky, changes rapidly and results in
unpredictable levels of indoor daylight (Ossen et al., 2005; Lim et al., 2012). Most of
the research has concentrated on external solar shading and fenestration design (Lim
et al., 2010; Mansour et al., 2006; Ossen, D.R. et al., 2005), and the study to
illuminate the internal spaces for visual comfort in Malaysia had also conducted
based on the parameters shading devices, floor depth, ceiling height, opening ratio,
glass transmittance and material reflectance (Sadin et al., 2014). Therefore,
occupants’ visual comfort parameter still lacked in the investigation (Kim and Kim,
2007) and various studies on systems has been introduced to decreased daylight
penetration and adding additional light absorption (Fontoynont, 2014). This means
that a simple system is more needed in most buildings to maximize daylight and
provide an external view.
Studies carried out on a number of existing office buildings in Malaysia
found that the existing daylighting condition in office building did not comply with
Malaysian Standards 1525; 2014 (Lim et al,. 2012). The recommended illuminance
level is still referring to 300-400 lux for office building, and this only concentrates on
artificial illuminance levels to provide maximum energy consumption. The focus on
illuminance level need to be further explored as this will contribute the office
workers’ productivity. Recently, solutions have been sought to satisfy the needs of
occupants and contribute to energy saving by considering the illuminance of the
working plane, windows, and automatically control systems using sensors. However,
no study has yet been published focusing on the illuminance changes which affect
the preferred illuminance level and acceptable level by occupants due to fluctuation
illuminance in Malaysia.
5
When most of the office buildings especially government office buildings
were found over illuminate or lack of illumination, it shows the designer should
identify the significant parameter in lighting design during schematic layout till
occupancy. This consideration and awareness can meet the acceptable illuminance
level for occupants during performing the task less work for retrofitting such as de-
lamping artificial lighting. Therefore, complaint by occupants on lighting distraction
and too bright the illuminance level shows fluctuation of illuminance level occur
frequently in indoor spaces. In addition, these may reduce visual comfort and
performance. Furthermore, the fluctuation of daylight illuminance level which affects
the acceptable indoor daylighting level is not highlighted in any visual comfort issue
where it significantly changes the quantity of daylight levels. This unpredictable
change in illuminance level happens more severely when the room is fully occupied,
and it is also reported that dimming control systems may be affected due to this
condition. Clarification is needed on whether lighting guidelines over or
underestimate the preferred amount of light. Factors that influence illuminance
changes in offices are not identified during the measurement of quantity of
illuminance level. The occupants are not aware of the illuminance change, and this
illuminance variation may contribute to visual discomfort and visual annoyance. (Lee
et al., 2013).
Based on the history of illuminance, recommendations from different
countries at different times are evaluated for different activities in offices (Mills and
Borg, 1999). Observations and investigations are undertaken to identify fluctuation
ranges that meet the occupants’ visual comfort and performance, which may
contribute to the effectiveness of dimming controls on high productivity in the office.
Currently, the Malaysian government is trying to refine assessment methods in
daylighting conditions in order to retrofit existing government office buildings and
achieve sustainable architecture building without compromising on visual comfort.
The problem of daylighting and its potential in Malaysia is related to the adequacy of
daylight in an interior space, which faces criticism when illuminance levels in
existing offices in Malaysia do not meet the standards and recommendations. Due to
this condition, a study on illuminance change in daylight conditions must be
implemented in order to clarify the effect between daylight illuminance fluctuation
and occupant density in the workplace.
6
The above description shows the obvious impact that lighting problems have
in relation to visual comfort in an office space. It also reveals a need to improve
recommendations on Malaysian Standard on Lighting Practice to provide an ideal
design for office space without jeopardizing visual comfort for the occupants, as well
as incorporating energy-saving strategies. This scenario can be improved through the
stages of identifying the preferred illuminance level in daylight conditions,
fluctuation based on occupant density of a room, and maximum occupancy density,
which affects visual comfort. Subsequently, it is necessary to verify the acceptable
range of daylight fluctuation based on the window to wall ratio, occupant density and
distance in daylit office room.
1.3 Research Questions
1. What is the range of preferred daylight illuminance level for occupants in
office buildings?
2. What are the parameters influencing the fluctuation in illuminance in office
buildings?
3. Is the fluctuation of illuminance level affects visual performance and visual
comfort?
4. What is the maximum occupant density among the selected variables by using
simulation?
1.4 Research Aim and Objectives
This study aims to recommend an acceptable range of daylighting
fluctuations for office occupants’ visual comfort based on occupant density. To
achieve this aim, the following objectives have been derived:-
7
1. To investigate the preferred illuminance level for office buildings in
Malaysia.
2. To determine the effect of the illuminance level and visual performance due
to occupancy density.
3. To examine the optimum fluctuation discomfort based on occupancy density.
4. To recommend the acceptable range of daylight fluctuations of different room
configurations and occupant density.
1.5 Research Gap
Over the years, lighting level research has only focused on illuminance levels
in artificial lighting environments, rather than on daylighting. The variables affecting
daylight strategies indoors have been identified by several researchers, who consider
the design criteria for windows, ceilings, workstation position, technology on skin
façade, and shading. Brightness and illuminance is detected by the daylight
availability through reflectance and transmittance from room furniture, office
material, and layout settings (Ochoa et al., 2012; Rahmani et al., 2012: Kandar et al.,
2011; Lim et al., 2011; Freewan et al., 2009; Denan, 2004). Although many previous
researchers have investigated indoor lighting and the characteristics of the
architectural element, investigation of the factors that influence change in daylight
illuminance needs to be conducted. The control system and window design of an
office building will be more functional and practical when there is consideration of
fluctuation in illumination in the workplace. It is believed that the estimation of lux
level would fully benefit daylighting strategies and lighting conditions in the
workplace. By knowing the occupancy’s preferred illuminance levels and ranges of
illuminance levels when performing tasks, we can improve in designing an efficient
typical office space in Malaysia. In order to determine the illuminance levels needed
according to Malaysian Standard Lighting Practice, the estimation of lux level in
occupied rooms needs to be identified. Previously, researchers have only
8
concentrated on occupancy studies with fire escape routes through occupancy load,
and determining spatial layout with occupancy pattern. Determining the appropriate
illuminance levels according to occupancy density has never been factored into room
design. Consideration of the maximum number of people in the workplace is a
potential strategy for reducing fluctuation in illuminance levels and maintaining the
recommended illuminance level.
It is necessary to investigate the reduction in illuminance levels, which can
influence the illuminance range of visual discomfort. This situation changes the
illuminance level, and also causes visual disruption. Araji (2008) assessed various
lighting conditions alongside behavioral experiments, while Veitch et al. (2008)
reviewed how human behavior contributes to higher tolerance, compared to the
values indicated in guidelines and lighting standards or norms. The latest study only
assesses occupants’ preferences and satisfaction towards changes in illuminance, but
there has been no study examining the occurrence of fluctuation of illuminance level
due to the occupant density. In this study, a more detailed occupant density
parameter will be used to determine that fluctuation of illuminance level affect visual
performance.
The overview in Table 1.1 shows the trend of research which carried out from
the 1980’s to the present period. In the 1980’s, preference and satisfaction in
daylighting condition were investigated by Heerwagen and Orians (1986), Dubois
(2001), Boubekri (1991), while in the 2000’s Boyce (2003), Aries (2005), Araji
(2008), Wang (2009), Lee et al. (2013), studied the illuminance level in daylighting
condition. From the beginning of 2000 to date, the issue of fluctuation in illuminance
comes in to place which was studied by Lee, J.H. Yoon et al. (2012). A few research
works were carried out on room configuration and physical variables like window
and distance which relate to the daylight penetration to indoors. (Ghisi, 2005; Aries,
2010). The research on recommendation of lighting condition were carried out by
Kandar et al. (2011) and Lim et al. (2011) which emphasized on daylighting,
distance and WWR. The summary of previous research on daylighting, illuminance,
fluctuation and visual comfort that are related to issue of present study is presented in
Table 1.1.
9
Table 1.1: Past studies on lighting and illuminance level
Design
Per
cep
tion
En
vir
on
men
t
Meth
od
Auth
or
and Y
ear
Occ
upant
Den
sity
Illu
min
ance
Tas
k p
erfo
rman
ce c
rite
ria
Work
Pla
in I
llum
inan
ce
Contr
ol
Syst
em
Ori
enta
tion
Win
dow
Wal
l R
atio
/Win
dow
Room
Lay
out
Dis
tance
Sta
ndar
d/R
ecom
men
dat
ion
Ener
gy E
ffic
iency
Art
ific
ial
Lig
hti
ng
Pre
fere
nce
and S
atis
fact
ion
Gla
re
Day
lighti
ng
Flu
ctuat
ion o
f Il
lum
inan
ce
Sim
ula
tion
Rem
arks
Boyce, P. et
al. (2003) √ √ √ √ √ √
Offices
Gala Siu,
A.D. et al.
(2006) √ √ √
Open plan
office
(experiment)
Kim, S.Y. et
al. (2007) √ √ √ √
Common
Spaces
(experiment)
Van Den
Wymelenbe
rg, K.
G.,(2012).
√ √ √ √
Office
(survey
/questionnaire)
Aries et al.,
(2010) √ √ √ √ √ √
Offices
(survey
/questionnaire)
Kandar et
al., (2011) √ √ √ √ √
Offices
(survey)
Fontoynont,
(2014) √ √ √
Office
Lee, J.H. Yoon et al.
(2013) √ √ √ √ √ √ √ √
Offices
Ochoa, C.E
et al. (2012) √ √ √ √ √
Offices
Wang,
N. (2009) √ √ √ √ √
Offices
Ghisi, E et.
al (2005) √ √ √ √ Office
Araji, M.T
(2008) √ √ √ √ √
Al-Tamimi
et al. (2009) √ √ √
Fadzil and
F.S.F.S..
(2004)
√ √
Ahmed, A.Z. et al.
(2007) √ √
Offices
10
Dubois,
M.C. et al.
(2001)
√ √ √
Offices
Lim, Y. W
et. al.
(2011)
√ √ √ √ √ √ √
Offices
Boubekri,
Hull and
Boyer
(1991)
√ √ √ √ √
Offices
Heerwagena
nd Orians
(1986)
√ √ √ √
My Study
(2015) √ √ √ √ √ √ √ √ √ √ Office
(experiment)
1.6 Scope of Study and Limitation
This study sets out to investigate illuminance change or fluctuation in
illuminance levels in daylit office buildings and its relation to visual comfort in the
office building. The acceptable illuminance level in daylighting condition and
preferred illuminance level from the occupant in the workplace need to be identified
in order to justify illuminance range in the task working area without jeopardizing
visual comfort. This study integrates the issues and methods from previous
researchers in order to evaluate valid samples and findings. The limitation of this
study are only investigate the effect of fluctuation in illuminance levels in daylit
indoor environments for office building. The investigation includes the variables of
illuminance level in daylighting condition, windows to wall ratio which representing
70% of the wall opening, occupant density, distance and two types of room layouts ;
deep and narror layout (as these are related to Malaysian Standard 1525; 2014
[recommended illuminance 300-400 lux] and the EPU standard). The focus is also
only on quantity of illuminance level, work plane illuminance in office buildings,
and assessing visual comfort in daylight conditions in Malaysia. The related
variables that measure visual comfort and illuminance are based on window opening
(WWR) 70, with typical room layout matching EPU standards and within the
recommended illuminance level of Malaysian Standard 1525:2007. The study will
not look at office arrangements, orientation of the room, control systems, control
devices, color, glazing types, views, or privacy.
11
This research was also limited by experiments on visual test performance that
only enhance the reading task in daylighting condition. Occupants spent about two
hours in the selected office building. This research investigated the occupant density
within distance, room distance, room layout, and window size. Daylight factor is also
documented for existing empty room and occupied room. The development of
techniques as part of the methodology which verify the calculation of occupant
density in a room without jeopardize the quantity of illuminance level.
1.7 Significance of the Study
Most of the studies on visual comfort have been focusing on the glare and
view. It is believed that determining the range of illuminance level would fully
benefit daylighting strategies and lighting conditions in the workplace. By knowing
the occupancy’s preferred illuminance levels and ranges of illuminance level during
task performance, energy-saving in lighting design can be achieved. In order to meet
illuminance level according to Malaysian Standard Lighting Practice 1525;2014, the
estimation of lux level in occupied room needs to be identified. The outcome of the
study is to enhance the important of occupant density in the workplace as this will
influence the reduction of the fluctuation in illuminance levels and affect visual
performance. Furthermore, the result of optimum illuminance range of visual
discomfort will provide a strategy to reduce energy consumption and meeting the
target of Malaysian Standard 1525. An ideal number of occupants in workplace
without jeopardizing the illuminance level and visual comfort in a working
environment will enhance a quality space in office building.. This study can also be
used as a supplement to lighting practice recommendations, where estimation of
lighting conditions in a typical office room may be determined during the
preliminary design stage.
12
1.8 Thesis Structure
This thesis is organized as follows:
Chapter One: Introduction. This chapter is made up of discussion on the
introduction to the study, a description to the problem, the objectives of the study, the
scope covered, the significance of the findings, and the organization of the study.
Besides that, the limitations of the research are also reviewed in this chapter.
Chapter Two: Literature Review will briefly explain the theory that relates to this
work, covering past research that has been done in relation to the study. The
theoretical framework is discussed in this chapter to elaborate on and explain the
related variables and parameters of the research. The benefit of daylighting is
discussed in this chapter to elaborate on and explain the relationship of daylight in
office buildings to workers and the environment, both physically and
physiologically.
Chapter Three: Methodology includes a complete account of the research
methodology used in this study. This chapter is divided into two main sections. The
first section reviews the parameters of preferred illuminance levels in daylight office
buildings. The characters of the element that influence the daylight availability are
discussed. The second section reviews the relationship between illuminance changes
with visual comfort of office building occupants by applying a simulation using IES
software. This chapter will also explain the survey and experimental set-up under the
research strategy. Surveys is divided into two main sections. The first section
presents the building environment for conducting a survey by using questionnaires.
The second section reviews the survey on selected office buildings for conducting
visual tests to achieve the objective of the research, which focuses on preferred
illuminance range, fluctuation in illuminance and task performance within the range
of preferred and acceptable illuminance level of the working environment.
Chapter Four: Analysis and discussion 1 gives the results, analyses, and findings of
all the objectives. This chapter gives results from survey and experiment 1 on the
13
ranges of preferred illuminance level, experiment 2 on fluctuation illuminance ranges
based on user response analysis and visual test. The discussion will also presents a
comprehensive study based on two selected office buildings to examine the optimum
fluctuation discomfort based on occupancy density and compares the results of field
measurement and computer simulation using IES<VE> Software. The findings from
objective 3 will be used as a parameter for objective 4 which is using the computer
simulation to examine the variables related to fluctuation based on occupanct density
and recommend the acceptable range of daylight fluctuations.
Chapter Five concludes the acceptable ranges of daylight fluctuations and the
maximum occupant density in typical office buildings, which will influence the
recommended illuminance level for office building in Malaysia. This will be used as
a supplement in determining the lighting indicator for office buildings in Malaysia.
Finally, this chapter also suggests future research to complement the findings.
1.9 Conclusion
This chapter presents briefly the introduction of the study, and the framework
of the research. The next chapter will illustrate the definition of the related theories
and its parameters.
14
Figure 1.1: Summary of thesis structure
Part 1- Background study and
theoretical framework
Chapter 1
Introduction
Chapter 2
Conceptual understanding
of illuminance, occupant density,
visual comfort and lighting
recommendation.
Chapter 3
Research Methodology
Part 3- Conclusion and Recommendation
Part 2- Analysis And Synthesis
Chapter 5
Conclusion and recommendations
Chapter 4
Findings and results on objective 1,2,3,4
Range on preferred illuminance level by occupants.
Evaluation of fluctuation in illuminance levels, occupant density,
and ranges of visual discomfort which also acts as a supplement
to lighting indicator.
207
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