Paper Conference

Proceedings of eSim 2014: 8th Conference of IBPSA-Canada


A Linear Data-Driven System Identification Methodology for an ActivePassive Solar Thermal Storage System and Application to a Solar House

Amélie Allard, Andreas K. Athienitis

Abstract: This paper presents a methodology developed to identify a parametric model of a thermally-activated building system (TABS) using a system identification (SI) tool. The model was identified with collected data from an energy efficient solar single-family residential building. The TABS is a ventilated concrete slab (VCS) serving as an energy storage medium for active and passive solar gains in the basement. A data-driven system identification approach is used. Identifying a linear model and obtaining a low-order polynomial model were the main identification criteria. The paper addresses the issues of the monitoring sensor accuracy on the model parameters and how physical knowledge of the VCS dynamic system can be considered during its validation. This paper also demonstrates that the identified linear polynomial model is an efficient tool to carry out redesign studies and possible control studies. An improved building integrated photovoltaic/thermal (BIPV/T) roof design is compared based on increased solar energy utilization potential and potential increase of collected thermal energy stored into the VCS.
Pages: 42 - 55