Controls 01: Predictive Control
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This is a recording of a Building Simulation 2017 session presentation, held on August 7, 2017. Building Simulation 2017 brought together practitioners and researchers from around the world to share information about the state of the art in simulation tools and applications and to discuss new developments. The conference featured updates and insights regarding new research to improve simulation capabilities for advanced low-energy building systems, case studies from successful projects that demonstrate the key role that simulation plays, and ongoing efforts to enable compliance and building rating software to support radiant and other energy efficient systems.
Session Title: Controls 01: Predictive Control
Chair: Paul Raftery
Forecasting of Cooling Coil Load using On-Site Measurements of Outdoor Air Conditions versus Measurements from Closest Airport
Radu Zmeureanu, Concordia University, Canada
MPCPy: An Open-Source Software Platform for Model Predictive Control in Buildings
David Henry Blum, Lawrence Berkeley National Laboratory, USA
A Tool for Evaluating the Performance of Simplified Models for Predictive Control Applications
Trent Hilliard, Dalhousie University, Canada
Towards a Cross-Disciplinary Control Approach for Building Simulations: An Integration of Semantic Rule-Based and Model Predictive Control
Parastoo Delgoshaei, University of Maryland, USA
Generalization Approach for Models of Thermal Buffer Storages in Predictive Control Strategies
Julian Buderus, Technische Hochschule Nürnberg Georg Simon Ohm, Germany