Paper Conference

Proceedings of Building Simulation 2021: 17th Conference of IBPSA


Optimizing VAV Terminal Box Minimum Positions using Dynamic Simulations to Improve Energy and Ventilation Performance

Kevin Cant, Ralph Evins
University of Victoria, Canada

Abstract: Variable air volume (VAV) systems have historically been designed following methods that result in excess energy consumption and inadequate ventilation. Designing VAV systems using heating and cooling design days and following the ASHRAE 62.1-2010 Ventilation Rate Procedure is shown to be inadequate for its intended purposes. A method for quantifying energy and ventilation performance using dynamic energy simulations is coupled with a genetic algorithm to optimize VAV terminal box minimum positions and central outside air damper minimum position. The genetic algorithm results in improved energy performance while simultaneously addressing concerns for underventilation, as shown in a case study medium office archetype energy simulation. The method provides an opportunity to improve energy consumption and indoor air quality in the existing building stock without requiring extensive capital retrofits or complex controls algorithms.
Keywords: VAV, optimization, ventilation, energy, retuning
Pages: 2507 - 2514