发明名称 Computer-Implemented System And Method For Externally Assessing A Building's Susceptibility To Heat Loads
摘要 Usage data of an indoor climate control system for a building is obtained. To determine system susceptibility to infiltration, the infiltration parameter per unit effective leak area is determined. To determine system exposure to insolation, an insolation parameter per unit area is determined. To determine thermal isolation of the building, ambient temperature data is obtained for a time period of interest. A fit of the relevant data is performed. A large positive infiltration regression coefficient with minimal error is interpreted as indication of a significant infiltration load. Either a large positive insolation regression coefficient with minimal error for cooling or a large negative insolation regression coefficient with minimal error for heating is interpreted as indications of significant heat load due to insolation. For thermal isolation, a large positive temperature coefficient is interpreted as poor insulation or isolation against temperature-driven thermal loads.
申请公布号 US2015330923(A1) 申请公布日期 2015.11.19
申请号 US201414278266 申请日期 2014.05.15
申请人 Palo Alto Research Center Incorporated 发明人 Smullin Sylvia
分类号 G01N25/20 主分类号 G01N25/20
代理机构 代理人
主权项 1. A computer-implemented method for externally assessing susceptibility of a building to heat load from infiltration, comprising the steps of: obtaining a usage time series that reflects usage of an indoor climate control system in a building over a plurality of operational cycles over a plurality of time periods, the running time comprising the time necessary to bring the building's interior temperature into a temperature range defined about a desired indoor temperature for the building; assessing an infiltration parameter per unit effective leak area of the building on the indoor climate control system from ambient weather conditions as measured over the same time periods; and performing a linear regression of the usage time series against the infiltration parameter, wherein a large positive regression coefficient of the infiltration parameter with minimal error are interpreted as indications of significant infiltration load into and ineffective sealing of the building, wherein the steps are performed on a suitably-programmed computer.
地址 Palo Alto CA US