Multi-Plenum Fan Array Coupled with Double Skin Facades Integrating Microalgae Photobioreactors Towards Advanced Carbon Bio-fixation and Thermal Energy Preservation

Growing energy demand in buildings has driven research towards efficient techniques and sustainable sources. Double-skin façades reduce energy consumption, improve thermal comfort, and enable bioenergy generation via microalgae photobioreactors. While recent research has focused on optimizing thermal and bioenergy generation from such systems, it often neglects the impact of heat gain by the occupied space on energy performance. To address this, this project upgraded an existing double-skin façade system by integrating a multi-plenum fan array to reduce heat build-up. The impact on microalgae growth will be monitored to ensure improved temperature stability increases photobioreactor’s productivity. The fan integration will be optimized by determining the the proper selection of fan speed, configuration, and placement. An economic feasibility study will evaluate the cost effectiveness of the fan, while noise and vibration analysis will measure the impact on building occupants and develop mitigation strategies. Machine learning models will optimize key variables like fan speed, flow direction, and vent area, using algorithms such as Gradient Boosting Machines, Convolutional Neural Networks, and Long Short-Term Memory Networks. These algorithms will be integrated into a control system with reinforcement learning to adaptively adjust parameters in real-time and create a proactive building façade system that optimizes performance over time.

Faculty Supervisor:

Mohamad Araji

Student:

Partner:

ASHRAE Hamilton

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program: