Conference Paper

Proceedings of BauSim Conference 2020: 8th Conference of IBPSA-Germany and Austria

     

DEVELOPMENT OF A CONCEPTUAL DATA MODEL FOR THE DIGITAL DESCRIPTION OF FAULTS IN THE BUILDING SYSTEMS´ OPERATION

P. Alfonso, T. Rist, T. Müller-Eping, N. Réhault, Both P. von

DOI: https://doi.org/10.3217/978-3-85125-786-1-62
Abstract: Malfunctioning of Heating, Ventilation and Air Conditioning (HVAC) systems causes user discomfort and increases energy consumption. Fault detection and diagnostics (FDD) methods can contribute reducing energy losses by early detecting faulty operations of HVAC systems and thus supporting corrective actions. However, Model-based FDD methods require a vast amount of data for set-up, such as time-series data from sensors and actuators and semantic data documenting technical properties of the supervised systems. This paper presents the conceptual data model for a database, in which we aim to collect, describe, and classify semantic information about operational faults of HVAC systems, the buildings, the HVAC systems themselves including their data points (sensors/actuators). The main objective is to provide a semantically unified structure for the documentation of faults in HVAC systems to enable developers and engineers training, testing and comparing FDD methods.
Pages: 520 - 526
Paper: