An Integrated Hybrid Thermal Dynamics Model and Energy Aware Optimization Framework for Grid-Interactive Residential Building Management

This article focuses on developing an integrated hybrid model for studying the thermal dynamic operations of passive buildings considering active power management. For this, the following methodology is designed. First, the hybrid model, including a procedure for identifying model parameters, is established. Second, the model is simulated and results compared with EnergyPlus
^TM
counterparts for validation using three different climatic zones. Third, the energy optimization framework considering all the active energy sources in the building is illustrated. Finally, the model is utilized within Model Predictive Control (MPC) and optimization framework across multiple prediction horizons to demonstrate its capability for extensive applications in complex demand management programs and advanced transactive operations. The results show that the model has an average of 4% error compared with EnergyPlus
^TM
results, and the formulated framework has an intuitive interpretation of prioritizing natural ventilation operation while effectively coordinating building energy resources for a 65% reduction in peak electricity usage in the evaluated zone.