Design and procurement of multi-input multi-output (MIMO) control algorithms in commercial heat, ventilation and air conditioning systems (HVAC) include extensive testing and comfort compromises. Model-based control simulators are being employed to reduce the effort and cost for building control design and deployment. In particular, Modelica-based simulation and optimization workflows utilize dynamic white-box models to test the effectiveness and deployability of different MIMO control algorithms. In this paper, a Modelica price-based control workflow based on Function Mockup Interface and well-established signal processing and hardware control deployment tools is presented. From the white-box Modelica model of the Oslo demonstration site in Norway (as a part of the EU project ARV), the paper proposes a way to digitalize and procure price-based control of a school building HVAC system. The central part of the heating system is a geothermal CO2 heat pump that serves both the building and a thermal storage tank operated flexibility though price-based and set-point controllers. A standard efficiency-based model with a single condenser from IDEAS library was implemented and implementation of the model in the operational environment by deploying them on a micro-controller is demonstrated. The “toy” deployment model allows us to demonstrate how electrification of commercial HVAC can be fast prototyped with the use of microcontrollers and standard software tools. This approach is applied to simulation that interfaces heat pumps with onsite renewable energy production thereby reducing operation costs.