A Model-Driven Approach for Carbon Emission Assessment in Healthcare Facilities

Most current research on healthcare facilities carbon emissions focuses on the dynamic data generated by the building entity and systems without considering human activities and built environment as an integrated system. This paper presents a model-driven approach for carbon emission assessment in healthcare facilities that can: (i) support convergence of carbon emissions impact factors analysis from human activities in building systems, (ii) integrate spatial computing and Internet of Things technologies for real-time performance assessment of carbon emissions in healthcare facilities, (iii) enable continuous optimization of carbon emission performance. Recognizing the gap, this paper presents the model-driven framework for energy efficiency optimization and prediction in hospital buildings including three layers: schematical model, data collection and assessment model, adaptive and predictive model. An illustrative case is presented to state how the model-driven paradigm applied in a real-world hospital energy management platform.