Researchers and students from the School of Mechanical Engineering are taking their ‘neural network’ BMS theory to the campus with impressive results. The innovative approach to building optimization adapts to the uncertainties of weather changes, and plans for thermal interactions between HVAC zones of a building, thus maintaining thermal comfort, improving energy efficiency and reducing electricity costs. The application of this research has resulted in a sound business case for the technology and students have been able to test new knowledge in a real-world setting. The success of this project has resulted in the expansion to other buildings on campus.
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