Occupants Behavior Research Bibliography

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T. Ryan and Vipperman, J. S., Incorporation of scheduling and adaptive historical data in the Sensor-Utility-Network method for occupancy estimation, Energy and Buildings, vol. 61, pp. 88-92, 2013.
A. J. Ruiz, Blunck, H., Prentow, T. S., Stisen, A., and Kjærgaard, M. B., Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning., in PerCom, 2014.
F. Rubinstein, Colak, N., Jennings, J., and Neils, D., Analyzing occupancy profiles from a lighting controls field study, Lawrence Berkeley National Laboratory, 2003.
D. M. Rowe, Activity rates and thermal comfort of office occupants in Sydney, Journal of Thermal Biology , vol. 26, pp. 415-418, 2001.
M. Rowe, Lane, S., and Phipps, C., CareWatch: A home monitoring system for use in homes of persons with cognitive impairment, Topics in geriatric rehabilitation, vol. 23, p. 3, 2007.
C. - A. Roulet, Johner, N., Foradini, F., Bluyssen, P., Cox, C., De, E., Fernandes, O., Müller, B., and Aizlewood, C., Perceived health and comfort in relation to energy use
and building characteristics
, Building Research & Information, vol. 34, pp. 467-474, 2006.
S. Rosiek and Batlles, F. J., Reducing a solar-assisted air-conditioning system’s energy consumption by applying real-time occupancy sensors and chilled water storage tanks throughout the summer: A case study, Energy Conversion and Management, vol. 76, pp. 1029-1042, 2013.
F. H. Rohles, Temperature and temperment: A psychologist looks at comfort , ASHRAE Journal, vol. 49, 2007.
A. Roetzel, Tsangrassoulis, A., Dietrich, U., and Busching, S., On the influence of building design, occupants and heat waves on comfort and greenhouse gas emissions in naturally ventilated offices. A study based on the EN 15251 adaptive thermal comfort model in Athens, Greece, Building Simulation: An International Journal, vol. 3, no. 2, pp. 87-103, 2010.
A. Roetzel, Tsangrassoulis, A., Dietrich, U., and Busching, S., A review of occupant control on natural ventilation, Renewable and Sustainable Energy Reviews, vol. 14, pp. 1001-1013, 2010.
A. Roetzel, Occupant behaviour simulation for cellular offices in early design stages—Architectural and modelling considerations, Building Simulation, vol. 8, no. 2, pp. 211-224, 2015.
A. Roetzel, Tsangrassoulis, A., Dietrich, U., and Busching, S., Balancing buildings and occupants - a holistic approach to thermal comfort and greenhouse gas emissions in mixed mode offices, in Adapting to Change: New Thinking on Comfort, Windsor, UK, 2010.
A. Roetzel, Tsangrassoulis, A., and Dietrich, U., Impact of building design and occupancy on office comfort and energy performance in different climates, Building and Environment, vol. 71, pp. 165-175, 2014.
A. Roetzel, Evaluation of thermal and visual comfort in offices considering realistic input data and user behaviour in building simulation, in Air Conditioning and the Low Carbon Cooling Challenge, Windsor, UK, 2008.
A. Roetzel, Tsangrassoulis, A., Dietrich, U., and Busching, S., Context dependency of comfort and energy performance in mixed mode offices, Journal of Building Performance Simulation, Special Issue: Modelling Occupants' Presence and Behaviour – Part , vol. 4, no. 4, pp. 303-322, 2011.
A. Roetzel, Variability of building simulation results depending on selected weather files and conditioning set points–a case study for a residential building in Victoria, Australia, Journal of Green Building, vol. 11, no. 4, pp. 91-108, 2016.
A. Roetzel and Tsangrassoulis, A., Impact of climate change on comfort and energy performance in offices, Building and Environment, vol. 57, pp. 349-361, 2012.
E. Rodriguez-Ubinas, Rodriguez, S., Voss, K., and Todorovic, M. S., Energy efficiency evaluation of zero energy houses, ENERG BUILDINGS, vol. 83, pp. 23-35, 2014.
D. Robinson, Some trends and research needs in energy and comfort prediction, Windsor conference. 2006.
S. Roaf, Nicol, F., Humphreys, M., Tuohy, P., and Boerstra, A., Twentieth century standards for thermal comfort: promoting high energy buildings, Architectural Science Review, vol. 53, pp. 65-77, 2010.
H. B. Rijal, Tuohy, P., Nicol, F., Humphreys, M. A., Samuel, A., and Clarke, J., Development of an adaptive window-opening algorithm to predict the thermal comfort, energy use and overheating in buildings, Journal of Building Performance Simulation, vol. 1, pp. 17-30, 2008.
H. B. Rijal, Tuohy, P., Humphreys, M. A., Nicol, J. F., Samuel, A., Raja, I. A., and Clarke, J., Development of adaptive algorithms for the operation of windows, fans, and doors to predict thermal comfort and energy use in Pakistani buildings, ASHRAE Transactions, vol. 114, p. 555, 2009.
H. B. Rijal, Tuohy, P., Humphreys, M. A., Nicol, J. F., Samuel, A., and Clarke, J., Using results from field surveys to predict the effect of open windows on thermal comfort and energy use in buildings, Energy and Buildings, vol. 39, pp. 823-836, 2007.
H. B. Rijal, Humphreys, M. A., and Nicol, J. F., Understanding occupant behaviour: the use of controls in mixed-mode office buildings, Building Research & Information, vol. 37, pp. 381-396, 2009.
I. Richardson, Thomson, M., and Infield, D., A high-resolution domestic building occupancy model for energy demand simulations, Energy and Buildings, vol. 40, pp. 1560-1566, 2008.
M. Ribo and Pinz, A., A comparison of three uncertainty calculi for building sonar-based occupancy grids, Robotics and Autonomous Systems, vol. 35, pp. 201-209, 2001.
X. Ren, Yan, D., and Wang, C., Air-conditioning usage conditional probability model for residential buildings, Building and Environment, vol. 81, pp. 172-182, 2014.
X. Ren, Yan, D., and Hong, T., Data mining of space heating system performance in affordable housing, Building and Environment, vol. 89, pp. 1-13, 2015.
C. F. Reinhart and Walkenhorst, O., Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds, Energy and Buildings, vol. 33, pp. 683-697, 2001.
C. F. Reinhart, Mardaljevic, J., and Rogers, Z., Dynamic daylight performance metrics for sustainable building design, Leukos, vol. 3, pp. 7-31, 2006.
C. F. Reinhart, Lightswitch-2002: A model for manual and automated control of electric lighting and blinds, Solar Energy, vol. 77, pp. 15-28, 2004.
C. F. Reinhart and Wienold, J., The daylighting dashboard - A simulation-based design analysis for daylit spaces, Building and Environment, vol. 46, pp. 386-396, 2011.
M. S. Rea, Window blind occlusion- A pilot study, Building and Environment, vol. 19, pp. 133-137, 1984.
C. Ratti, Baker, N., and Steemers, K., Energy consumption and urban texture, Energy and Buildings, vol. 37, pp. 762-776, 2005.
K. Rathouse and Young, B., Use of domestic heating controls. 2004.
I. A. Raja, Nicol, J. F., McCartney, K. J., and Humphreys, M. A., Thermal comfort: use of controls in naturally ventilated buildings, Energy and Buildings, vol. 33, pp. 235-244, 2001.