A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV)
By R. Yao, Baizhan Li, Jing Liu. 2009
698 citations recorded by the source corpus.
Subfields: Building and Construction, Environmental Engineering, Speech and Hearing
View Paper: https://www.semanticscholar.org/paper/fd0bdff2970693b5db92461a137c5aba21d64815
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- S. Zhang
- Zhang Lin
- Yong Cheng
- Federica Rosso
- René Tchinda
- F. De Giorgio
- A. Pisello
- Yuxin Wu
Citations in the corpus
- How subjective and non-physical parameters affect occupants’ environmental comfort perception (2018, result): “Also the analysis of the subjective thermal perception was consistent with ISO 10551 [29-33].”
- Thermal comfort: A review paper (2010, background): “[6] presented a theoretical adaptive model of thermal comfort based on the Black Box theory, taking into account factors such as culture, climate, social, psychological and behavioural adaptations, which have an impact on the senses used to detect thermal comfort.”
- Improving predicted mean vote with inversely determined metabolic rate (2020, background): “, the extended PMV [5] and the adaptive PMV [59].”