DwpGen: uma plataforma para geração de dados de projeto para climatização

Abstract

More accurate weather data enables to reduce safety factors in heating, ventilating and air conditioning (HVAC) designs, resulting in better HVAC dimensioning and consequently reducing operational costs and saving energy, being that, one of the main priorities in the building sector. This dissertation aims to develop a web system named DwpGen for weather data processing to HVAC design, following the criteria established by the American Society of Heating, Ventilating, Refrigerating and Air Conditioning Engineers (ASHRAE). Design data for twenty meteorological station, from cities non-listed in the Brazilian air conditioning standard (NBR-16401-1), were obtained and the typical design days were compared with NBR 16401-1 recommendations. For the stations located in Santos Dumont and Galeão airports, both in Rio de Janeiro City, the design parameters were calculated and compared to the ones provided by ASHRAE (2017) and NBR-16401-1 recommended data. The obtained results in this work have concluded that Brazilian Standard is strict for all cooling and humidification projects evaluated and, hence, we believe that NBR-16401-1 should enlarge the lists cities and update design climatic data for all existing related cities in order to avoid under or oversizing of HVAC installations.