Analyzing the range of thermal requirements (Psychometric model) by preparation and validation the typical meteorological year (TMY) based on climatic data (case study: Iran, Kermanshah city)

In this research, Sandia method, which is a statistical method, produces climatic sample data as a climatic file of real measured data for a period of ten years (2015 to 2005) for the synoptic meteorological station at Kermanshah Airport. Is. Then for validation another climatic file was created and compared with the literature software for Kermanshah. The results were compared with the average real data of the three main parameters of relative humidity and relative humidity, and the wind direction was compared and the climatic file was validated. The results show that the Sandia method is better compatible with the actual data of the synoptic meteorological station at Kermanshah Airport. Also, the analysis of the analysis of the temperature range (psychometric) analysis of the city of Kermanshah, the output of the software of Climate Consultant, which is depicted using the Sandia prepared climatic file, shows that in more than 17% of the year, the thermal comfort conditions in the city Kermanshah has been shown to indicate an increase in its range from previous studies, which generally indicates the warming of the city's climate.