Paper Conference

Proceedings of Building Simulation 2017: 15th Conference of IBPSA


Towards a Semantically-enabled Control Strategy for Building Simulations: Integration of Semantic Technologies and Model Predictive Control

Delgoshaei P.1, Austin M.A.1, Pertzborn A.J.2, Heidarinejad M.1, Chandan V.3
1University of Maryland, College Park, MD, USA
2National Institute of Standards and Technology, Gaithersburg, MD, USA

Abstract: State-of-the-art building simulation control methods incorporate physical constraints into their mathematical models, but omit implicit constraints associated with policies of operation and dependency relationships among rules representing those constraints. To overcome these shortcomings, there is a recent trend in enabling the control strategies with semanticallyenabled rule checking capabilities. One solution is to exploit Semantic Web technologies in building simulation control. Such approaches provide the tools for semantic modeling of domains, and the ability to deduce new information based on the models through use of Description Logic (DL) implemented by inference-based rules. In a step toward enabling this capability, this paper presents a semanticallyenabled control strategy for building energy management simulations that integrate semantic modeling and formal rule checking mechanisms into a Model Predictive Control (MPC) formulation. The approach addresses the high sensitivity of MPC to the selection of initial conditions by deriving the initial conditions from inference-based rules.
Pages: 965 - 974