Results 151 to 160 of about 201,572 (190)
Some of the next articles are maybe not open access.

The approximation between thermal sensation votes (TSV) and predicted mean vote (PMV): A comparative analysis

International Journal of Industrial Ergonomics, 2019
Abstract The Fanger's predicted mean vote (PMV) model is used to evaluate thermal comfort. However, when PMV is compared to people's real thermal sensations, collected in field studies, some discrepancies are verified. One of the components for the calculation of PMV is clothing surface temperature (tcl), which can be a factor that contributes ...
Evandro Eduardo Broday   +3 more
openaire   +3 more sources

Predicted Mean Vote with skin temperature from standard effective temperature model

Building and Environment, 2020
Abstract The accurate prediction of thermal comfort is crucial for optimally designing buildings with thermal comfort and energy efficiency. Predicted Mean Vote (PMV) is widely recognized by national and international standards for the prediction of thermal comfort.
Sheng Zhang, Zhang Lin
openaire   +3 more sources

Improved algorithm for adaptive coefficient of adaptive Predicted Mean Vote (aPMV)

Building and Environment, 2019
Abstract Accurate prediction of thermal comfort is the premise of proper management of the indoor environment to avoid overcooling/overheating discomfort with energy saving. Adaptive Predicted Mean Vote (aPMV) has been verified for the thermal comfort prediction in both free-running and air-conditioned buildings, and has been stipulated in the ...
Sheng Zhang   +3 more
openaire   +3 more sources

A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV)

Building and Environment, 2009
This paper presents in detail 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. The model is called the Adaptive Predicted Mean Vote (aPMV) model.
Runming Yao, Baizhan Li, Jing Liu
openaire   +3 more sources

Adaptive‐rational thermal comfort model: Adaptive predicted mean vote with variable adaptive coefficient

Indoor Air, 2020
Thermal adaptations, as feedbacks of occupants to physical stimuli, extend thermal comfort zone thereby reducing building energy consumption effectively. The rational approach models thermal comfort from the perspective of the body's heat balance, but is limited in explaining the thermal adaptations.
Sheng Zhang, Zhang Lin
openaire   +4 more sources

Dynamic Predicted Mean Vote: An IoT-BIM integrated approach for indoor thermal comfort optimization

Automation in Construction, 2021
Abstract The building sector is a major source of energy consumption mainly due to the use of Heat Ventilation and Air Conditioning (HVAC) systems, to achieve the indoor thermal comfort of occupants. To reach the optimal energy-efficient indoor temperature that satisfies thermal comfort, this paper describes an optimization approach named ‘DynamicPMV’
Hamza Zahid   +2 more
openaire   +3 more sources

Analysis of predicted mean vote-based model predictive control for residential HVAC systems

Building and Environment, 2023
Junke Wang   +3 more
openaire   +3 more sources

Extended predicted mean vote of thermal adaptations reinforced around thermal neutrality

Indoor Air, 2021
Predicted mean vote (PMV) is a prevailing thermal comfort model adopted by thermal comfort standards. To extend its ability in explaining thermal adaptations, the PMV is multiplied by an extension factor. However, the original extended PMV (ePMV) cannot account for thermal adaptations around thermal neutrality, resulting in deviation around thermal ...
Sheng Zhang, Zhang Lin
openaire   +2 more sources

An adaptive Predicted Mean Vote (aPMV) model in office

2010 International Conference on Mechanic Automation and Control Engineering, 2010
An adaptive Predicted Mean Vote model of thermal comfort based on “Black Box” theory is proposed, which takes into account factors such as culture, indoor climate, social, physiological, psychological and behavioral adaptations, which have an impact on the senses used to detect thermal comfort.
null Xu Wei   +2 more
openaire   +1 more source

On predicted mean vote optimization in building climate control

2012 20th Mediterranean Conference on Control & Automation (MED), 2012
Low energy buildings have been attracting much attention lately. Most of the research is focused on the building construction or alternative energy sources. Recently, there has been an intense research in the area of Model Predictive Control (MPC) for buildings.
Jiri Cigler   +4 more
openaire   +1 more source

Home - About - Disclaimer - Privacy