  The increasing significance of energy efficiency in the building sector
necessitates innovative planning to reduce energy consumption while maintaining
occupant comfort. With the rise in mechanically ventilated buildings,
traditional sequential planning methods, which first ensure outdoor air supply
before addressing acoustics, are being reassessed due to their risk for
suboptimal solutions. This study introduces a holistic algorithmic methodology
for ventilation system design to minimise life-cycle costs while ensuring
acoustically feasible solutions. Utilising discrete mathematics, the approach
models components' impact on airflow, acoustics, power consumption, and costs,
across multiple load cases, culminating in a 2-stage stochastic Mixed-Integer
Nonlinear Program. A case study demonstrates the methodology's applicability
and the trade-off between energy efficiency and noise levels, highlighting its
potential for more complex buildings. This integrated approach marks a
significant advancement in ventilation system optimisation, promoting more
holistic and efficient building designs while allowing for a more transparent
decision-making.
