یک تکنیک از راه دور برای ارزیابی اثربخشی عایق های حرارتی در خانواده ها در غرب ویرجینیا
Abstract: Physical energy audits and interventional methods cannot sustain the increasing demand of assessing the effectiveness of existing thermal insulation in households. As for now, there does not exist a sufficiently accurate remote technology or method to assess the efficiency of a thermal envelope. Usually, the energy bills and the age of the furnace are good indicators of the performance of insulation in houses. To overcome the lack of availability of a proper framework to calculate the effectiveness of the thermal envelope, a standard methodology using multiple linear regression and temperature data acquired from a house has been developed. The major aim of the experiment was to develop a model equation which will assess the effectiveness of insulation in a house in West Virginia. If developed futher, the model will be a very useful tool for energy auditors and consultants to help house owners understand the behavior of thermal insulation in their house. The model requires four variables for input which are: 1) area of the house, 2) number of people in the house, 3) temperature difference (inside and ambient) and 4) air changes per hour inside the house. Extensive data acquisition was performed to develop a robust model. The model can now be used with minimum understanding of underlying concepts and can assess the effectiveness of thermal barrier which otherwise is very difficult to determine.
Keywords: Applied sciences, Education, Insulation, Multiple Linear Regression, Predictors, Response