A literature review on driving factors and contextual events influencing occupants' behaviours in buildings
暂无分享,去创建一个
[1] Konstantinos Papakostas,et al. Occupational and energy behaviour patterns in Greek residences , 1997 .
[2] Peter Barrett,et al. Factors influencing occupants’ blind-control behaviour in a naturally ventilated office building , 2012 .
[3] Tianzhen Hong,et al. Advances in research and applications of energy-related occupant behavior in buildings ☆ , 2016 .
[4] Tianzhen Hong,et al. A simulation approach to estimate energy savings potential of occupant behavior measures , 2017 .
[5] Jian Yao,et al. Occupants’ impact on indoor thermal comfort: a co-simulation study on stochastic control of solar shades , 2016 .
[6] Ali Malkawi,et al. Simulating multiple occupant behaviors in buildings: An agent-based modeling approach , 2014 .
[7] Astrid Roetzel,et al. A review of occupant control on natural ventilation , 2010 .
[8] M. Shukuya,et al. Comparison of theoretical and statistical models of air-conditioning-unit usage behaviour in a residential setting under Japanese climatic conditions , 2009 .
[9] Christoph F. Reinhart,et al. Monitoring manual control of electric lighting and blinds , 2003 .
[10] Ravi S. Srinivasan,et al. From occupancy to occupant behavior: An analytical survey of data acquisition technologies, modeling methodologies and simulation coupling mechanisms for building energy efficiency , 2017 .
[11] Rui Neves-Silva,et al. Stochastic models for building energy prediction based on occupant behavior assessment , 2012 .
[12] Stefano Paolo Corgnati,et al. Accounting for the uncertainty related to building occupants with regards to visual comfort: A literature survey on drivers and models , 2016 .
[13] Kevin Van Den Wymelenberg,et al. Patterns of occupant interaction with window blinds: A literature review , 2012 .
[14] H. Burak Gunay,et al. The contextual factors contributing to occupants' adaptive comfort behaviors in offices – A review and proposed modeling framework , 2014 .
[15] Hongsan Sun,et al. An occupant behavior modeling tool for co-simulation , 2016 .
[16] Arno Schlueter,et al. Occupant centered lighting control for comfort and energy efficient building operation , 2015 .
[17] M. Togeby,et al. Demand for space heating in apartment blocks: measuring effects of policy measures aiming at reducing energy consumption , 2001 .
[18] Young-Jun Son,et al. Modeling human operator decision-making in manufacturing systems using BDI agent paradigm , 2005 .
[19] Willett Kempton,et al. «I always turn it on super» : user decisions about when and how to operate room air conditioners , 1992 .
[20] Birgit Müller,et al. Simple or complicated agent-based models? A complicated issue , 2016, Environ. Model. Softw..
[21] P. Gurian,et al. Tracking the human-building interaction: A longitudinal field study of occupant behavior in air-conditioned offices , 2015 .
[22] Yoshiyuki Shimoda,et al. Survey On The Occupant Behavior Relating To Window And Air Conditioner Operation In The Residential Buildings , 2013, Building Simulation Conference Proceedings.
[23] Stefano Paolo Corgnati,et al. On modelling and simulation of occupant models , 2015 .
[24] Francesca Stazi,et al. Indoor air quality and thermal comfort optimization in classrooms developing an automatic system for windows opening and closing , 2017 .
[25] Valentina Fabi,et al. Effect of thermostat and window opening occupant behavior models on energy use in homes , 2014 .
[26] Jacek Tejchman,et al. Comparison of physical performances of the ventilation systems in low-energy residential houses , 2009 .
[27] Weiming Shen,et al. Leveraging existing occupancy-related data for optimal control of commercial office buildings: A review , 2017, Adv. Eng. Informatics.
[28] Gregor P. Henze,et al. Building occupancy detection through sensor belief networks , 2006 .
[29] Vítor Leal,et al. Influence of shading control patterns on the energy assessment of office spaces , 2012 .
[30] David Infield,et al. Domestic lighting: A high-resolution energy demand model , 2009 .
[31] Jeong Tai Kim,et al. Effects of occupancy and lighting use patterns on lighting energy consumption , 2012 .
[32] D.R.G. Hunt,et al. The use of artificial lighting in relation to daylight levels and occupancy , 1979 .
[33] Darren Robinson,et al. Adaptive actions on shading devices in response to local visual stimuli , 2010 .
[34] K. Steemers,et al. Time-dependent occupant behaviour models of window control in summer , 2008 .
[35] J. F. Nicol,et al. Thermal comfort: use of controls in naturally ventilated buildings , 2001 .
[36] Paul Torcellini,et al. Simulation of Energy Management Systems in EnergyPlus , 2008 .
[37] Rui Zhang,et al. An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network , 2010 .
[38] P. R. Warren,et al. Window-opening behaviour in office buildings , 1984 .
[39] L. Wallace,et al. Continuous measurements of air change rates in an occupied house for 1 year: The effect of temperature, wind, fans, and windows* , 2002, Journal of Exposure Analysis and Environmental Epidemiology.
[40] Andreas Wagner,et al. Does the occupant behavior match the energy concept of the building? - Analysis of a German naturally ventilated office building , 2015 .
[41] Christoph F. Reinhart,et al. Lightswitch-2002: a model for manual and automated control of electric lighting and blinds , 2004 .
[42] T. Inoue,et al. The development of an optimal control system for window shading devices based on investigations in office buildings , 1988 .
[43] Jae-Weon Jeong,et al. Occupant behavior regarding the manual control of windows in residential buildings , 2016 .
[44] Darren Robinson,et al. On the behaviour and adaptation of office occupants , 2008 .
[45] Nan Li,et al. Probability of occupant operation of windows during transition seasons in office buildings , 2015 .
[46] Darren Robinson,et al. Interactions with window openings by office occupants , 2009 .
[47] Ian Beausoleil-Morrison,et al. Development and implementation of an adaptive lighting and blinds control algorithm , 2017 .
[48] A. Carlsson-kanyama,et al. Efficient and inefficient aspects of residential energy behaviour: What are the policy instruments for change? , 2006 .
[49] Zhenghua Chen,et al. Comparing occupancy models and data mining approaches for regular occupancy prediction in commercial buildings , 2017 .
[50] Jin Wen,et al. Quantifying the human–building interaction: Considering the active, adaptive occupant in building performance simulation , 2016 .
[51] Francesco Asdrubali,et al. Human-based energy retrofits in residential buildings: A cost-effective alternative to traditional physical strategies , 2014 .
[52] Siew Eang Lee,et al. Review of occupancy sensing systems and occupancy modeling methodologies for the application in institutional buildings , 2016 .
[53] Darren Robinson,et al. A comprehensive stochastic model of blind usage: Theory and validation , 2009 .
[54] Tianzhen Hong,et al. Occupant behavior modeling for building performance simulation: Current state and future challenges , 2015 .
[55] Chuang Wang,et al. A generalized probabilistic formula relating occupant behavior to environmental conditions , 2016 .
[56] Xuemei Guo,et al. Compressive classification of human motion using pyroelectric infrared sensors , 2014, Pattern Recognit. Lett..
[57] Dennis L. Loveday,et al. Factors affecting ‘end-of-day’ window position in a non-air-conditioned office building , 2013 .
[58] Dj Carter,et al. Long-term patterns of use of occupant controlled office lighting , 2003 .
[59] Anna Laura Pisello,et al. How peers’ personal attitudes affect indoor microclimate and energy need in an institutional building: Results from a continuous monitoring campaign in summer and winter conditions , 2016 .
[60] Sanae Chraibi,et al. Lighting preference profiles of users in an open office environment , 2017 .
[61] Tianzhen Hong,et al. Statistical analysis and modeling of occupancy patterns in open-plan offices using measured lighting-switch data , 2013 .
[62] Stuart Barlow,et al. Occupant comfort in UK offices—How adaptive comfort theories might influence future low energy office refurbishment strategies , 2007 .
[63] Giuliano Dall'O',et al. Comparison between predicted and actual energy performance for summer cooling in high-performance residential buildings in the Lombardy region (Italy) , 2012 .
[64] Marc Fontoynont,et al. The use of shading systems in VDU task offices: A pilot study , 2006 .
[65] J. F. Nicol,et al. Development of an adaptive window-opening algorithm to predict the thermal comfort, energy use and overheating in buildings , 2008 .
[66] Tianzhen Hong,et al. An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework , 2015 .
[67] K. Pavlou,et al. Experimental investigation of the air flow and indoor carbon dioxide concentration in classrooms with intermittent natural ventilation , 2008 .
[68] Aya Hagishima,et al. State transition probability for the Markov Model dealing with on/off cooling schedule in dwellings , 2005 .
[69] Clinton J. Andrews,et al. Designing Buildings for Real Occupants: An Agent-Based Approach , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[70] Yi Jiang,et al. Influence of household air-conditioning use modes on the energy performance of residential district cooling systems , 2016 .
[71] Yixing Chen,et al. EnergyPlus and CHAMPS-Multizone co-simulation for energy and indoor air quality analysis , 2015 .
[72] K. K. Andersen,et al. Survey of occupant behaviour and control of indoor environment in Danish dwellings , 2007 .
[73] Sheikh Tahir Bakhsh,et al. Indoor positioning in Bluetooth networks using fingerprinting and lateration approach , 2011, 2011 International Conference on Information Science and Applications.
[74] Emile H. L. Aarts,et al. Impact of Blinds Usage on Energy Consumption: Automatic Versus Manual Control , 2014, AmI.
[75] James A. Love. Manual switching patterns in private offices , 1998 .
[76] Dirk Müller,et al. Analysis of occupants' behavior related to the use of windows in German households , 2016 .
[77] Therese Peffer,et al. How people use thermostats in homes: A review , 2011, Building and Environment.
[78] Aris Tsangrassoulis,et al. Dynamic operation of daylighting and shading systems: A literature review , 2016 .
[79] Nicolas Morel,et al. A field investigation of the intermediate light switching by users , 2006 .
[80] Tom Long,et al. Determining the frequency of open windows in residences: a pilot study in Durham, North Carolina during varying temperature conditions , 2005, Journal of Exposure Analysis and Environmental Epidemiology.
[81] Zhenghua Chen,et al. A fusion framework for occupancy estimation in office buildings based on environmental sensor data , 2016 .
[82] Xuan Luo,et al. Performance evaluation of an agent-based occupancy simulation model , 2017 .
[83] Kristian Fabbri,et al. Energy performance building evaluation in Mediterranean countries: Comparison between software simulations and operating rating simulation , 2008 .
[84] Ardeshir Mahdavi,et al. An inquiry into the reliability of window operation models in building performance simulation , 2016 .
[85] Tianzhen Hong,et al. Ten questions concerning occupant behavior in buildings: The big picture , 2017 .
[86] Halina Koczyk,et al. „IEA EBC Annex 66: definition and simulation of occupant behavior in buildings” – aktualne metody modelowania zachowania użytkowników budynku , 2015 .
[87] Lin Fu,et al. Field investigation on consumer behavior and hydraulic performance of a district heating system in Tianjin, China , 2009 .
[88] Da Yan,et al. Quantitative description and simulation of human behavior in residential buildings , 2012 .
[89] Li Shao,et al. Understanding occupancy pattern and improving building energy efficiency through Wi-Fi based indoor positioning , 2017 .
[90] Andreas K. Athienitis,et al. Manually-operated window shade patterns in office buildings: A critical review , 2013 .
[91] Ian Beausoleil-Morrison,et al. A critical review of observation studies, modeling, and simulation of adaptive occupant behaviors in offices , 2013 .
[92] Henk Visscher,et al. Theoretical vs. actual energy consumption of labelled dwellings in the Netherlands: Discrepancies and policy implications , 2013 .
[93] Françoise Thellier,et al. Impact of occupant's actions on energy building performance and thermal sensation , 2014 .
[94] Steve Greenberg,et al. Window operation and impacts on building energy consumption , 2015 .
[95] Tianzhen Hong,et al. An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema , 2015 .
[96] P Pieter-Jan Hoes,et al. Occupant behavior in building energy simulation: towards a fit-for-purpose modeling strategy , 2016 .
[97] Ardeshir Mahdavi,et al. Predicting people's presence in buildings: An empirically based model performance analysis , 2015 .
[98] Robert Clear,et al. Office Worker Response to an Automated Venetian Blind and Electric Lighting System: A Pilot Study , 1998 .
[99] Anca D. Galasiu,et al. Occupant preferences and satisfaction with the luminous environment and control systems in daylit offices: a literature review , 2006 .
[100] Hom B. Rijal,et al. An algorithm to represent occupant use of windows and fans including situation-specific motivations and constraints , 2011 .
[101] Ardeshir Mahdavi,et al. IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings , 2017 .
[102] Jeong Tai Kim,et al. A field survey of visual comfort and lighting energy consumption in open plan offices , 2012 .
[103] G. R. Newsham. Manual Control of Window Blinds and Electric Lighting: Implications for Comfort and Energy Consumption , 1994 .
[104] Pieter de Wilde,et al. The gap between predicted and measured energy performance of buildings: A framework for investigation , 2014 .
[105] Peter Boyce,et al. Occupant use of switching and dimming controls in offices , 2006 .
[106] Joseph Andrew Clarke,et al. Development of adaptive algorithms for the operation of windows, fans, and doors to predict thermal comfort and energy use in Pakistani buildings , 2008 .
[107] Mark Rylatt,et al. A simple model of domestic lighting demand , 2004 .
[108] W. T. Powers. Behavior, the control of perception , 1973 .
[109] Hiroshi Yoshino,et al. Definition of occupant behavior in residential buildings and its application to behavior analysis in case studies , 2015 .
[110] Sebastian Herkel,et al. Towards a model of user behaviour regarding the manual control of windows in office buildings , 2008 .
[111] Luis de la Ossa,et al. Design and simulation of a thermal comfort adaptive system based on fuzzy logic and on-line learning , 2012 .
[112] Borong Lin,et al. Investigation of winter indoor thermal environment and heating demand of urban residential buildings in China's hot summer – Cold winter climate region , 2016 .
[113] Chuang Wang,et al. Air-conditioning usage conditional probability model for residential buildings , 2014 .
[114] Tadj Oreszczyn,et al. Occupant control of passive systems: the use of Venetian blinds , 2001 .
[115] Tianzhen Hong,et al. A data-mining approach to discover patterns of window opening and closing behavior in offices , 2014 .
[116] Belinda L Collins,et al. Window blinds as a potential energy saver: a case study. Building science series (final). [Effects of building orientation] , 1978 .
[117] Jian Yao,et al. Determining the energy performance of manually controlled solar shades: A stochastic model based co-simulation analysis , 2014 .
[118] J. F. Nicol. Characterising occupant behaviour in buildings : towards a stochastic model of occupant use of windows, lights, blinds, heaters and fans , 2001 .
[119] Chungyoon Chun,et al. Research on seasonal indoor thermal environment and residents' control behavior of cooling and heating systems in Korea , 2009 .
[120] Chuang Wang,et al. Modeling Individual's Light Switching Behavior to Understand Lighting Energy Use of Office Building , 2016 .
[121] R. Fritsch,et al. A stochastic model of user behaviour regarding ventilation , 1990 .
[122] Darren Robinson,et al. A generalised stochastic model for the simulation of occupant presence , 2008 .
[123] Bjarne W. Olesen,et al. Window opening behaviour modelled from measurements in Danish dwellings , 2013 .
[124] Francesca Stazi,et al. Modelling window status in school classrooms. Results from a case study in Italy , 2017 .
[125] D.R.G. Hunt,et al. Predicting artificial lighting use - a method based upon observed patterns of behaviour , 1980 .
[126] Yufan Zhang,et al. Factors influencing the occupants’ window opening behaviour in a naturally ventilated office building , 2012 .
[127] Vorpat Inkarojrit,et al. Balancing comfort: occupants' control of window blinds in private offices , 2005 .
[128] Ardeshir Mahdavi,et al. Prediction of plug loads in office buildings: Simplified and probabilistic methods , 2016 .
[129] F. Nicol,et al. Using field measurements of desktop illuminance in european offices to investigate its dependence on outdoor conditions and its effect on occupant satisfaction, and the use of lights and blinds , 2006 .
[130] M S. Rea,et al. Window blind occlusion: a pilot study , 1984 .
[131] Ewa Wäckelgård,et al. A combined Markov-chain and bottom-up approach to modelling of domestic lighting demand , 2009 .
[132] Thierry S. Nouidui,et al. Functional Mock-up Unit Import In Energyplus For Co-simulation , 2013, Building Simulation Conference Proceedings.
[133] Tianzhen Hong,et al. Introduction to an occupant behavior motivation survey framework , 2016 .
[134] Omar Khattab,et al. Occupants’ behavior and activity patterns influencing the energy consumption in the Kuwaiti residences , 2003 .
[135] Joseph Andrew Clarke,et al. Using results from field surveys to predict the effect of open windows on thermal comfort and energy use in buildings , 2007 .
[136] Mark S. Rea,et al. Occupant Use of Manual Lighting Controls in Private Offices , 1999 .
[137] Darren Robinson,et al. Verification of stochastic models of window opening behaviour for residential buildings , 2012 .
[138] Tianzhen Hong,et al. Occupancy schedules learning process through a data mining framework , 2015 .
[139] Koen Steemers,et al. Thermal performance of a naturally ventilated building using a combined algorithm of probabilistic occupant behaviour and deterministic heat and mass balance models , 2009 .
[140] P. O. Fanger,et al. Thermal comfort: analysis and applications in environmental engineering, , 1972 .
[141] Athanasios Tzempelikos. The impact of manual light switching on lighting energy consumption for a typical office building , 2010 .
[142] Rune Vinther Andersen,et al. Window opening behaviour: simulations of occupant behaviour in residential buildings using models based on a field survey , 2012 .
[143] Bjarne W. Olesen,et al. Occupants' window opening behaviour: A literature review of factors influencing occupant behaviour and models , 2012 .
[144] Dino Bouchlaghem,et al. Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap , 2012 .
[145] Vítor Leal,et al. Occupants interaction with electric lighting and shading systems in real single-occupied offices: Results from a monitoring campaign , 2013 .
[146] Yi Jiang,et al. A novel approach for building occupancy simulation , 2011 .
[147] Tianzhen Hong,et al. Simulation of occupancy in buildings , 2015 .
[148] Jin Wen,et al. Simulating the human-building interaction: Development and validation of an agent-based model of office occupant behaviors , 2015 .