Description
A comprehensive systems-based approach, along with an optimisation model is presented in this study. The tunnel ventilation system is designed with the goal of using an optimal quantity of jet fans, as well as the ventilation facility’s capacity, within intricate urban tunnels. The object of the optimisation is to minimise the overall power consumption while accommodating a range of site-specific requirements and air quality control constraints.
The aerodynamic and emission transport aspects are obtained using IDA tunnel Software. This model is coupled with a Genetic Algorithm (GA) to conduct the optimisation process. This problem is structured as a bi-objective optimisation challenge, involving the minimisation of power consumption for both the axial fans within the tunnel ventilation facility and the jet fans. The outcome of the optimisation is a Pareto-front, from which the designer must make an informed decision about which optimal solution to implement.
This approach exhibits the potential to create an optimal layout for the tunnel ventilation system in the early stages of the project, offering promising prospects for enhanced project efficiency and cost-effectiveness.
