Käyttöasteeseen perustuva energianhallinta risteilyalusten hyteissä

This thesis investigates occupancy-aware energy management in cruise ship cabins to temporarily reduce HVAC power demand during high electrical load periods and avoid unnecessary auxiliary engine activation while maintaining passenger comfort. Experimental measurements from a laboratory mock-up were used to validate an Apros simulation model of cabin thermal dynamics. Occupancy was predicted using Linear Discriminant Analysis based on temperature setpoint and FCU power consumption, achieving 93.9% accuracy with perfect detection of empty cabins. Regression-based setpoint optimization enabled an average demand reduction of 15.9%, with savings up to 26.2% in unoccupied cabins. Optimized setpoints were re-evaluated in the validated Apros model to confirm physical consistency. The results demonstrate the feasibility of cabin-level peak-load mitigation in cruise ships.