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In embedded software development, model-driven design is well recognized. In this article we describe a compositional model-driven approach for auto-generating embedded code for improving the energy efficiency of building automation applications. We show how we can use a component-based hybrid-systems modelling framework to generate models for simulation and verification. Then, we auto-generate embeddable code from these models. We empirically demonstrate this approach using the hybrid-systems tool Charon, for the domain of energy-efficient lighting control for smart buildings. The paper provides a detailed description of the code generation steps and outlines some results obtained through a simple lighting example.

We propose a methodology for overcoming the current approach of writing diagnostics code for industrial automation applications after the system is designed, which results in significant extra effort/cost, and potential discrepancies between design and diagnostics output. We show how we can automatically generate diagnostics from a more complex simulation model. We show how a model-transformation framework can transform a hybrid-systems simulation model into a propositional-logic diagnostics model with appropriate transformation rules. We illustrate our approach with an example from the domain of control for building lighting systems.