Optimized damper control of pressure and airflow in ventilation systems

Chrysanthi Sofia Koulani, Christian Anker Hviid, Søren Terkildsen

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Conventional control strategies in variable air volume (VAV) ventilation systems do not take fully into advantage the potential energy savings since the system operation is based on maintaining a constant static pressure (CSP) set point in the main duct irrespective of the actual pressure demand. The static pressure reset (SPR) control strategy can optimize the operation of the supply air fans by adjusting the pressure set point to be just enough to deliver the required airflow to the most critical zone.
This study investigated the operation and energy savings potential of an SPR control algorithm by using the Simulink programming tool which is addon
software to MATLAB mathematical programming language. A model of a VAV ventilation system was created in Simulink based on the International Building Physics Toolbox (IBPT); the IBPT thermal zone was remodelled in order to
calculate dynamically the airflow demand according to the zone air temperature. The performance of the Simulink model was evaluated based on the experimental setup of the ventilation system. The SPR control method established stable system operation and was proven efficient to maintain comfortable space conditions while reducing by 14 % the fan energy used in a typical working day.
Original languageEnglish
Title of host publicationProceedings of the 10th Nordic Symposium on Building Physics
EditorsJesper Arfvidsson, Lars-Erik Harderup, Anders Kumlin, Bitte Rosencrantz
Number of pages8
PublisherLund University
Publication date2014
Article number102
ISBN (Electronic)978-91-88722-53-9
Publication statusPublished - 2014
Event10th Nordic Symposium on Building Physics - Lund, Sweden
Duration: 15 Jun 201419 Jun 2014
Conference number: 10


Conference10th Nordic Symposium on Building Physics
Internet address


  • Ventilation system
  • HVAC control strategy
  • Variable air volume
  • Static pressure reset
  • Modelling
  • Simulink
  • Energy savings


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