Abstract
This paper proposes a model transformation ap-proach for model-based energy management in buildings. Indeed, energy management is a large area that covers a wide range of applications such as simulation, mixed integer linear pro-gramming optimization, simulated annealing optimization, model parameter estimation, diagnostic analysis,. . . Each application re-quires a model but in a specific formalism with specific additional information. Up to now, application models are rewritten for each application. In building energy management, because the optimization problems may be dynamically generated, model transformation should be done dynamically, depending on the problem to solve. For this purpose, a model driven engineering approach combined with the use of a computer algebra system is proposed. This paper presents the core specifications of the transformation of a so-called high level pivot model into applica-tion specific models. As an example, transformations of a pivot model into both an acausal linear model for mixed integer linear programming optimization and a causal non-linear model for simulated annealing optimization are presented. These models are used for energy management of a smart building platform named Monitoring and Habitat Intelligent located at PREDIS/ENSE3 in Grenoble, France.
Highlights
Nowadays, the building sector represents about 38% of the total energy consumption in Europe and 63% in France [1, 10]
Modern building systems may be complex in terms of number of appliances, including production and storage means and in terms of applications, which may cover functionalities like monitoring and state estimation, model parameter estimation, simulation synchronized with measurements for replays and model based energy management using optimization algorithms
In order to fit the building energy management system (BEMS) needs for automatic transformation between application models, a Model Driven Engineering (MDE) [4] approach combined with a computer algebra system (CAS) is proposed
Summary
The building sector represents about 38% of the total energy consumption in Europe and 63% in France [1, 10]. These approaches are based on a superset high level language, they are not able to change the nature of a model: a causal model cannot become acausal, a nonlinear model cannot be linearized, a causal model for simulation cannot be transformed into a causal model for parameter estimation. To handle such transformations, models have to be deeply modified using a computer algebra system to reformulate and transform constraints. In order to fit the building energy management system (BEMS) needs for automatic transformation between application models, a Model Driven Engineering (MDE) [4] approach combined with a computer algebra system (CAS) is proposed. An application to the PREDIS Monitoring and Habitat Intelligent platform is presented in the fourth section and the last section is dedicated to analysis of two model transformation results dedicated to model based energy management
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