Designing an energy efficient deckhouse for icebreakers using dynamic simulation and multi-objective optimization

In this study, the most cost effective solutions for insulation thickness, types of windows, wall panels and the ventilation heat recovery are found using a dynamic IDA-ICE-simulation program and a genetic algorithm, with the aim at maximizing the thermal comfort in the deckhouse of an icebreaker. The final result is a design concept that provides recommendations and guidelines for energy effective superstructure in cold circumstances. The results suggest that 38% energy saving potential (101kWh/m2) in overall thermal consumption, 39% emission reduction and 26% decrease in predicted percentage dissatisfied (PPD) can be obtained in deckhouse areas.