Renewable energy is increasingly preferred over fossil fuels, but its unpredictable nature,
especially in the case of wind power, makes consistent electricity generation difficult. To …

Today, buildings consume more than 40% of primary energy in and produce more than 36%
of CO2. So, an intelligent controller applied to the buildings for energy and comfort …

The predicted mean vote (PMV) and its several revised models are widely used for the
prediction of thermal comfort. This study aims to assess their performances using the …

Abstract The Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD)
are the most used indices for the assessment of thermal conditions in indoor environments …

In most countries, PMV is the reference index for the assessment of thermal comfort
conditions in mechanically conditioned environments. It is also the basis to settle input …

Inaccurate thermal comfort prediction would lead to thermal discomfort and energy wastage
of overcooling/overheating. Predicted Mean Vote (PMV) is widely used for thermal comfort …

Mean radiant temperature is one of the four physical quantities required for the objective
assessment of thermal environments. Due to its simplicity and relatively good accuracy, the …

This paper is aimed at quantifying the effects of the well-known criticalities related to the use
of small globes in the assessment of extreme hot thermal environments. Based on the …

Floor radiant cooling (FRC) systems are widely used in large space buildings due to
excellent heat dissipation capabilities. However, existing engineering cases and studies …

The assessment of bioclimatic conditions at the national scale remains a highly relevant
task. It might be one of the main parts of the national strategy for the sustainable …