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Title: IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings

Abstract

Here, more than 30% of the total primary energy in the world is consumed in buildings. It is crucial to reduce building energy consumption in order to preserve energy resources and mitigate global climate change. Building performance simulations have been widely used for the estimation and optimization of building performance, providing reference values for the assessment of building energy consumption and the effects of energy-saving technologies. Among the various factors influencing building energy consumption, occupant behavior has drawn increasing attention. Occupant behavior includes occupant presence, movement, and interaction with building energy devices and systems. However, there are gaps in occupant behavior modeling as different energy modelers have employed varied data and tools to simulate occupant behavior, therefore producing different and incomparable results. Aiming to address these gaps, the International Energy Agency (IEA) Energy in Buildings and Community (EBC) Programme Annex 66 has established a scientific methodological framework for occupant behavior research, including data collection, behavior model representation, modeling and evaluation approaches, and the integration of behavior modeling tools with building performance simulation programs. Annex 66 also includes case studies and application guidelines to assist in building design, operation, and policymaking, using interdisciplinary approaches to reduce energy use in buildings andmore » improve occupant comfort and productivity. This paper highlights the key research issues, methods, and outcomes pertaining to Annex 66, and offers perspectives on future research needs to integrate occupant behavior with the building life cycle.« less

Authors:
 [1];  [2];  [3];  [4];  [2];  [5];  [1]
  1. Tsinghua Univ. (China)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Univ. of Texas, San Antonio, TX (United States)
  4. Vienna Univ. of Technology (Austria)
  5. Technische Univ. Eindhoven (Netherlands)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office
OSTI Identifier:
1436656
Alternate Identifier(s):
OSTI ID: 1549277
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Energy and Buildings
Additional Journal Information:
Journal Volume: 156; Journal Issue: C; Journal ID: ISSN 0378-7788
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Occupant behavior; Energy modeling; Interdisciplinary approach; Energy use; IEA EBC Annex 66; Building performance

Citation Formats

Yan, Da, Hong, Tianzhen, Dong, Bing, Mahdavi, Ardeshir, D'Oca, Simona, Gaetani, Isabella, and Feng, Xiaohang. IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings. United States: N. p., 2017. Web. https://doi.org/10.1016/j.enbuild.2017.09.084.
Yan, Da, Hong, Tianzhen, Dong, Bing, Mahdavi, Ardeshir, D'Oca, Simona, Gaetani, Isabella, & Feng, Xiaohang. IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings. United States. https://doi.org/10.1016/j.enbuild.2017.09.084
Yan, Da, Hong, Tianzhen, Dong, Bing, Mahdavi, Ardeshir, D'Oca, Simona, Gaetani, Isabella, and Feng, Xiaohang. Thu . "IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings". United States. https://doi.org/10.1016/j.enbuild.2017.09.084. https://www.osti.gov/servlets/purl/1436656.
@article{osti_1436656,
title = {IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings},
author = {Yan, Da and Hong, Tianzhen and Dong, Bing and Mahdavi, Ardeshir and D'Oca, Simona and Gaetani, Isabella and Feng, Xiaohang},
abstractNote = {Here, more than 30% of the total primary energy in the world is consumed in buildings. It is crucial to reduce building energy consumption in order to preserve energy resources and mitigate global climate change. Building performance simulations have been widely used for the estimation and optimization of building performance, providing reference values for the assessment of building energy consumption and the effects of energy-saving technologies. Among the various factors influencing building energy consumption, occupant behavior has drawn increasing attention. Occupant behavior includes occupant presence, movement, and interaction with building energy devices and systems. However, there are gaps in occupant behavior modeling as different energy modelers have employed varied data and tools to simulate occupant behavior, therefore producing different and incomparable results. Aiming to address these gaps, the International Energy Agency (IEA) Energy in Buildings and Community (EBC) Programme Annex 66 has established a scientific methodological framework for occupant behavior research, including data collection, behavior model representation, modeling and evaluation approaches, and the integration of behavior modeling tools with building performance simulation programs. Annex 66 also includes case studies and application guidelines to assist in building design, operation, and policymaking, using interdisciplinary approaches to reduce energy use in buildings and improve occupant comfort and productivity. This paper highlights the key research issues, methods, and outcomes pertaining to Annex 66, and offers perspectives on future research needs to integrate occupant behavior with the building life cycle.},
doi = {10.1016/j.enbuild.2017.09.084},
journal = {Energy and Buildings},
number = C,
volume = 156,
place = {United States},
year = {2017},
month = {9}
}

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Cited by: 32 works
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Works referenced in this record:

The effect of window shading design on occupant use of blinds and electric lighting
journal, June 2013


Daylight availability assessment and its potential energy saving estimation –A literature review
journal, December 2015


Exploring the Implications of Different Occupancy Modelling Approaches for Building Performance Simulation Results
journal, November 2015


Energy-saving strategies with personalized ventilation in cold climates
journal, May 2009


Attitude-behavior relations: A theoretical analysis and review of empirical research.
journal, January 1977


Occupancy data analytics and prediction: A case study
journal, June 2016


The deployment-dependence of occupancy-related models in building performance simulation
journal, April 2016


Predicted versus observed heat consumption of a low energy multifamily complex in Switzerland based on long-term experimental data
journal, June 2004


The Hawthorne Effect: a randomised, controlled trial
journal, July 2007

  • McCarney, Rob; Warner, James; Iliffe, Steve
  • BMC Medical Research Methodology, Vol. 7, Issue 1
  • DOI: 10.1186/1471-2288-7-30

See through walls with WiFi!
journal, September 2013

  • Adib, Fadel; Katabi, Dina
  • ACM SIGCOMM Computer Communication Review, Vol. 43, Issue 4
  • DOI: 10.1145/2534169.2486039

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