Abstract

This paper presents a system-level modeling and control framework for a small-scale power-to-X (P-t-X) facility coupled with a dynamic building model. The considered system configuration and parameterization are based on a real-world energy research facility at the Technische Hochschule Ulm. A forecast-based model predictive control (MPC) strategy is compared to a conventional rule-based approach. The MPC is formulated as a mixed-integer linear program (MILP), integrates time series forecasts, and limits daily start events of key conversion units via an ε-constraint. Results indicate the potential of predictive operation to improve self-sufficiency and self-consumption while respecting operational and building comfort constraints.