Paper Conference

Proceedings of Building Simulation 2017: 15th Conference of IBPSA

     

A ‘Big Data’ Approach to the Application of Building Performance Simulation to Improve the Operational Performance of Large Estates

Joe Clarke, Daniel Costola, Andrew Cowie, Jon Hand, Nick Kelly, Filippo Monari
Energy Systems Research Unit, University of Strathclyde Glasgow, Scotland

DOI: https://doi.org/10.26868/25222708.2017.683
Abstract: This paper derives from the ‘Hit2Gap’ project as funded under the European Union’s Horizon 2020 R&D programme (Hit2Gap 2015). The aim of this project is to reduce the gap between design intent and the operational performance of large building estates. To this end, a data exchange platform is being established that is able to collect and store data from disparate sources, and deliver subsets of these data to a range of applications (services) intended to support facilities management. The ultimate aim is to identify physical interventions that will alleviate operational problems and so reduce the performance gap. This paper addresses the role of building performance simulation (BPS) within the Hit2Gap project, specifically: the fetching of an input model, its automated calibration, and its use in scripted applications for HVAC system fault detection and diagnosis, upgrade options appraisal, indoor environment quality improvement, energy demand reduction, renewable energy systems integration and control system refinement. The paper summarises the Hit2Gap architecture, the procedure for the automatic calibration of BPS models, and the invocation of cloud-based performance assessments in response to observed problems.
Pages: 2430 - 2438
Paper:
BS2017_683