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Exploring Occupant Behavior in Buildings - Methods and Challenges

of: Andreas Wagner, William O'Brien, Bing Dong

Springer-Verlag, 2017

ISBN: 9783319614649 , 333 Pages

Format: PDF, Read online

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Exploring Occupant Behavior in Buildings - Methods and Challenges


 

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

194

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