Using results from field surveys to predict the effect of open windows on thermal comfort and energy use in buildings

By H. Rijal, P. Tuohy, M. Humphreys, J. Nicol, A. Samuel, J. Clarke. 2007

596 citations recorded by the source corpus.

Subfields: Building and Construction, Environmental Engineering, Speech and Hearing

View Paper: https://www.semanticscholar.org/paper/a662a7f27b5cd58d62b731a56ba7b54bed56f972

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. F. Haldi
2. Darren Robinson

Citations in the corpus

• On the behaviour and adaptation of office occupants (2008, methodology): “Ac ce pt ed m an us cr ip t In order to infer a probability distribution for the whole range of temperatures (both indoor and outdoor), a theoretically justified statistical method already used for such purposes by Nicol et al [9] and Rijal et al [17] is the logistic regression.”
• Determination of Optimum Window to External Wall Ratio for Offices in a Hot and Humid Climate (2016, background): “Moreover, natural ventilation will improve indoor air quality [8,9].”