Night-time naturally ventilated offices: Statistical simulations of window-use patterns from field monitoring

Solar Energy

Volumn 84, Issue 7, 2010, Pages 1216-1231

  Yun, Geun Young ^a   Steemers, Koen ^b  

^a Kyung Hee University   (South Korea)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Behavioural algorithm; Natural ventilation; Night time natural ventilation; Occupant behaviour; Window use

Indexed keywords

BUILDING DESIGN; CAMBRIDGE; FIELD MONITORING; FIELD STUDIES; INDOOR ENVIRONMENT; LOGISTIC MODELS; LONGITUDINAL FIELD STUDY; MARKOV CHAIN; MAXIMUM TEMPERATURE; NATURAL VENTILATION; NIGHT-TIME VENTILATION; OBSERVATIONAL DATA; OCCUPANT BEHAVIOUR; PREDICTIVE MODELS; STATISTICAL SIMULATION; THERMAL CONDITION; THERMAL PERFORMANCE; TIME OF DAY;

ALGORITHMS; MARKOV PROCESSES; MONTE CARLO METHODS; PROBABILITY DENSITY FUNCTION;

VENTILATION;

ALGORITHM; ENERGY CONSERVATION; INDOOR AIR; MARKOV CHAIN; MONTE CARLO ANALYSIS; NUMERICAL MODEL; VENTILATION;

EID: 77953138699     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2010.03.029     Document Type: Article

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