Paulo Abreu, T. Andrade, R. Tavares, Fernando Carneiro, M. T. Restivo, Vasco Peixoto Freitas
{"title":"VENTI: Experimental controller for inline duct fan","authors":"Paulo Abreu, T. Andrade, R. Tavares, Fernando Carneiro, M. T. Restivo, Vasco Peixoto Freitas","doi":"10.1109/EXPAT.2017.7984393","DOIUrl":null,"url":null,"abstract":"This demo exemplifies the use of a special built controller for an inline duct fan. This controller uses the temperature and humidity data, from the interior and exterior environment to implement programmable control strategies based on differential vapor pressure. The controller is able to operate the fan with variable velocity. The data from the sensors and the implemented control action are stored in a database so that it can be remotely accessed through the internet. This controller is an experimental platform to support current studies on demand-controlled ventilation and on control strategies with impact on indoor air quality and comfort.","PeriodicalId":283954,"journal":{"name":"2017 4th Experiment@International Conference (exp.at'17)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 4th Experiment@International Conference (exp.at'17)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EXPAT.2017.7984393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This demo exemplifies the use of a special built controller for an inline duct fan. This controller uses the temperature and humidity data, from the interior and exterior environment to implement programmable control strategies based on differential vapor pressure. The controller is able to operate the fan with variable velocity. The data from the sensors and the implemented control action are stored in a database so that it can be remotely accessed through the internet. This controller is an experimental platform to support current studies on demand-controlled ventilation and on control strategies with impact on indoor air quality and comfort.