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Foreword
5
Acknowledgements
7
Contents
8
Glossary
10
1 Introduction
28
Abstract
28
2 Occupancy and Occupants’ Actions
33
Abstract
33
2.1 Introduction
34
2.2 Categorization of Occupants’ Actions
36
2.3 Potential Triggers and Contextual Factors Influencing Occupant Behavior in a Building
39
2.4 Literature Review of Relationship Between Action Types and Influencing Factors
41
2.5 Conclusion
57
References
58
3 Designing Research
65
Abstract
65
3.1 Introduction
65
3.2 Why Do the Research (Research Aims and Questions)
67
3.3 Identifying the Concepts to Measure and How They Link Together (Theory)
69
3.3.1 Concepts
71
3.3.2 One to One Relationships (Links)
71
3.3.3 One to Many Relationships (Hierarchies)
72
3.4 Units of Analysis, Populations, and Scope
73
3.4.1 Units of Analysis
73
3.4.2 Population of Interest and Scope
73
3.4.3 Descriptive or Inferential Statistics
74
3.4.4 Required Precision
76
3.5 Sampling and Sample Size
77
3.5.1 Sample Frames
77
3.5.2 Sampling Strategies
77
3.5.3 Spatial Sampling
78
3.5.4 Temporal Sampling
80
3.5.5 Sample Size Calculations
81
3.5.6 External Validity
82
3.5.7 An Illustrative Example of Sample Size Calculations
84
3.5.8 Internal Validity
85
3.5.9 Dropouts and Response Rates
88
3.6 How to Measure Concepts (Methods)
89
3.6.1 Concepts and Constructs
89
3.6.2 Operationalizing Constructs into Measurands
90
3.6.3 Latent Variables
91
3.6.4 Instruments
92
3.6.5 Quantifying Uncertainty
92
3.7 How to Measure Relationships (Research Design)
93
3.7.1 Descriptive (Correlational) Designs
95
3.7.2 Case Studies
95
3.7.3 Cross-Sectional Design
96
3.7.4 Longitudinal Surveys
96
3.7.5 Causative (Experimental) Designs
97
3.8 Pre-analysis Plans
99
3.9 Conclusion
100
References
101
4 Sensing and Data Acquisition
103
Abstract
103
4.1 Introduction
104
4.2 Sensing System Performance Metrics
105
4.3 Occupant Behavior and Presence Sensing
106
4.3.1 State-of-the-Art of Occupant Sensing Technologies
106
4.3.2 Human-in-the-Loop
118
4.3.3 Consumption Sensing
119
4.4 Occupant Data Acquisition
120
4.4.1 Manual Data Storage
121
4.4.2 Wireless Network
122
4.4.3 Gateway or Building Automation System
122
4.4.4 Internet-Enabled Sensors
124
4.5 Other Related Sensing Technologies
125
4.5.1 Indoor Environmental Sensing
125
4.5.2 Outdoor Environmental Sensing
126
4.6 Conclusion
127
References
128
5 Introduction to Occupant Research Approaches
132
Abstract
132
5.1 Introduction
132
5.2 Primary Occupant Research Approaches
134
5.3 Objective Comparison of Approaches
137
5.4 Mixed Methods Research Design
137
5.5 Conclusion
149
References
150
6 In Situ Approaches to Studying Occupants
153
Abstract
153
6.1 Introduction
153
6.2 In Situ Monitoring Approaches
155
6.3 Sensors and Data Acquisition Architecture: Practical Considerations
161
6.3.1 Building Automation Systems
161
6.3.2 Adding Additional Sensors to BASs
164
6.3.3 Obtaining BAS Data
165
6.3.4 New Sensor Networks
165
6.3.5 Distributed Stand-Alone Sensors and Data Loggers
167
6.3.6 Image-Based Sensing for in Situ Occupant Monitoring Studies
168
6.3.7 Virtual Sensors for in Situ Occupant Monitoring Studies
170
6.3.8 Future Sensing Technologies for in Situ Occupant Monitoring Studies
171
6.4 Practical and Methodological in Situ Monitoring Challenges
172
6.4.1 Sensor Placement and Obstruction
172
6.4.2 Ground Truths and Validation of Sensor Readings
178
6.4.3 Limited Access to Spaces
178
6.4.4 Monitoring Spaces with Multiple Occupants
179
6.4.5 Hawthorne Effect
179
6.4.6 Participant Recruitment
180
6.4.7 Ethical Obligations and Implications of Performing in Situ Monitoring
181
6.5 Qualitative Aspects of in Situ Monitoring
182
6.6 Use of Surveys to Complement Monitoring
183
6.7 Conclusion
187
References
188
7 Laboratory Approaches to Studying Occupants
192
Abstract
192
7.1 Laboratories in Indoor Environmental Quality Research
193
7.2 Examples of Typical Laboratory Designs and Their Technical Equipment
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7.2.1 International Centre for Indoor Environment and Energy (ICIEE), Technical University of Denmark, Denmark
196
7.2.2 Controlled Environmental Chamber, Center for the Built Environment (CBE); University of California at Berkeley, USA
198
7.2.3 Indoor Environmental Quality Laboratory (IEQ Lab), University of Sydney, Australia
200
7.2.4 Laboratory for Occupant Behavior, Satisfaction, Thermal Comfort and Environmental Research (LOBSTER), Karlsruhe Institute of Technology (KIT), Germany
201
7.2.5 SinBerBEST Test Bed, CREATE Tower, Berkeley Education Alliance for Research in Singapore (BEARS) Limited, Singapore
203
7.2.6 Respiration Chambers, Metabolic Research Unit Maastricht (MRUM), University of Maastricht, the Netherlands
205
7.2.7 Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center (E.ON ERC), RWTH Aachen University, Germany
206
7.2.8 The ZEB Living Laboratory at the Norwegian University of Science and Technology (NTNU) and SINTEF, Norway
208
7.2.9 Indoor Environmental Laboratories at the Fraunhofer Institute for Building Physics (IBP), Germany
210
7.2.10 Flight Test Facilities, Fraunhofer Institute for Building Physics (IBP) and Institute for Energy Efficient Buildings and Indoor Climate, RWTH Aachen University; Germany
212
7.3 Indoor Climate in Labs—Technical Services, Control, Sensors
213
7.3.1 Conditioning of Labs
213
7.3.2 Solar Incident, Daylight and Acoustics in Test Chambers
215
7.3.3 Temperature Control in the Experimental Environment
217
7.3.4 Data Acquisition and Sensing Indoor Environmental Quantities
219
7.4 Sensors for Personalized Monitoring
221
7.4.1 Measuring Skin and Body Temperature
222
7.4.2 Measuring the Skin Wettedness
223
7.4.3 View Tracking, Measuring Hormone Levels and Monitoring Movements
223
7.5 Lab Studies on Occupant Behavior and Considerations with Regard to Lab Design and Equipment
224
7.5.1 Options for Experimental Settings
225
7.5.2 Recommendations for Lab Design
226
7.6 Influencing Factors Driving Occupant’s Behavior and Their Impact on Experimental Design
228
7.7 Conclusion
230
References
232
8 Survey and Interview Approaches to Studying Occupants
236
Abstract
236
8.1 Introduction
236
8.2 Constructing the Survey
238
8.2.1 Before Designing the Survey
238
8.3 Developing Questions and Constructing the Survey Tool
239
8.3.1 Writing Survey Questions
241
8.3.2 Types of Questions
241
8.3.3 Criteria for Examining Each Survey Question
242
8.3.4 Questionnaire Structure
242
8.3.5 Ordering Questions
243
8.4 Survey Instrument Assessment
243
8.4.1 Reliability & Validity
244
8.4.2 Types of Survey Errors
245
8.4.3 Pre-testing and Pilot Studies
247
8.5 Participant Selection and Sample Design
247
8.5.1 Alternative Sampling Strategies in Building Research
248
8.5.2 Sample Size
249
8.6 Available Tools for Survey Delivery
249
8.7 Interviews
250
8.7.1 Interview Formats
250
8.7.2 Types of Interviews
251
8.7.3 Conducting the Interview
251
8.8 Survey Stories and Lessons Learned in Occupant Behavioral Research
252
8.8.1 Field Study of Thermal Comfort and Occupant Satisfaction in Canadian Condominiums
252
8.8.2 Energy Consumption in Residential Buildings and Occupants’ Behavior. An Investigation in Mediterranean Climatic Conditions
253
8.8.3 On the Behavioral Effects of Residential Electricity Submetering in a Heating Season
254
8.8.4 A Norwegian Survey Story: The Use of Qualitative Methods
256
8.8.5 Occupants’ Behavior Patterns for Air-Conditioning, Windows, and Lighting
256
8.9 Additional Considerations for Occupant Behavior-Related Surveys
257
8.9.1 Informed Consent for Online Surveys
257
8.9.2 Example of Informed Consent Statement for Survey Study (Day 2014)
258
8.10 Conclusion
259
References
260
9 Validation and Ground Truths
262
Abstract
262
9.1 Introduction
262
9.2 Basic Concepts of Measurement Quality
263
9.2.1 Basic Terms of Measurement Quality Performance
263
9.2.2 Validation and Verification of Measurement Methods
265
9.2.3 Ground Truth in Measurements
266
9.3 Measurement of Occupancy and Occupant Behavior
267
9.3.1 Physically Sensed Variables
268
9.3.2 Reported Variables
271
9.4 Verification and Validation of Measurement Methods
273
9.4.1 Verification of Measurement Methods
273
9.4.2 Validation of Measurement Methods
274
9.4.3 Measurement Uncertainties
275
9.5 Constructing Ground Truth Datasets
278
9.5.1 Validation of Occupant Behavior Measurement
278
9.5.2 Appropriateness, Robustness, and Openness
280
9.6 Conclusion
281
References
282
10 Structured Building Data Management: Ontologies, Queries, and Platforms
284
Abstract
284
10.1 Introduction
285
10.2 Outline of an Ontology for Building Monitoring
286
10.2.1 General Categories
286
10.2.1.1 Occupants
287
10.2.1.2 Indoor Environmental Conditions
287
10.2.1.3 External Environmental Conditions
287
10.2.1.4 Control Systems and Devices
288
10.2.1.5 Equipment
288
10.2.1.6 Energy
289
10.2.2 The Structure of Monitored Data
289
10.2.2.1 Values
289
10.2.2.2 Actors
291
10.2.2.3 Data Sources
291
10.2.3 Expressions of the Ontology for Multiple Data Categories
292
10.3 Data Processing and Typical Queries
294
10.3.1 Periodic Raw Data
295
10.3.2 Event Related Raw Data
296
10.3.3 Interval Data from BAS (Building Automation System)-Integrated Sensors or Data Loggers
296
10.3.4 Practical Examples of Building Monitored Data Processing
297
10.3.4.1 Generation of Occupancy Data from PIR-Motion Raw Sensor Data
297
10.3.4.2 Generation of Presence Probability Profiles
298
10.3.4.3 Generation of Boolean Daily Occupancy Profiles
299
10.3.4.4 Use of Electric Energy Meter Data to Determine Usage Profiles
299
10.4 Building Monitoring Repositories and Prototypical Implementations
300
10.4.1 System Design
301
10.4.2 Data Repositories
302
10.4.2.1 MySQL Data Repository
302
10.4.2.2 Cassandra Data Repository
304
10.4.3 Prototypical Implementation—Monitoring System Toolkit (MOST)
305
10.4.4 Module Overview
306
10.4.5 Virtual Sensor Implementation
306
10.5 Conclusion
307
References
307
11 Ethics and Privacy
310
Abstract
310
11.1 Introduction
310
11.2 Institutions Involved in Ethical Review Processes
312
11.3 Review Categories
313
11.3.1 Exemption
313
11.3.2 Expedited Review
314
11.4 Recruitment of Participants
314
11.4.1 Selection of Participants
314
11.4.2 Vulnerable Populations
315
11.5 Risks and Anticipated Benefits
315
11.5.1 Identification of Risks
315
11.5.2 Minimal Risk
316
11.5.3 Hard and Soft Impacts
316
11.5.4 Risk Issues Specific to Occupant Behavior Research
316
11.5.5 Anticipated Benefits
319
11.6 Privacy and Confidentiality
320
11.6.1 Anonymous Data
320
11.6.2 Privacy in the Use of Personally Identifiable Records
321
11.6.3 Potential Steps to Protect Participants’ Privacy
321
11.6.4 Data Storage, Processing, and Sharing
322
11.7 Informed Consent
323
11.8 Submission Procedures for Ethics
324
11.9 Debriefing
325
11.10 Multiple-Site and Cross-Country Studies
325
11.11 Tips for Improving Interactions with Ethics Committee
326
11.12 Internet Research Ethics
327
11.13 Conclusion
327
References
328
12 Concluding Remarks and Future Outlook
330
Abstract
330
12.1 Research Needs
331
12.2 Future Outlook
332
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