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Demand Controlled Ventilation (DCV) is automatic adjustment of ventilation equipment to meet occupant demand. DCV is a control method used to modulate the volume of fresh air taken into a building or other occupied space by mechanical air conditioning equipment. Sensors or time schedules are used to estimate ventilation need and automated control loops are used to meet a set point determined by a design engineer. The design engineer references a codified standard when determining ventilation set points.
Demand Controlled Ventilation (DCV) is automatic adjustment of ventilation equipment to meet occupant demand. DCV is a control method used to modulate the volume of fresh air taken into a building or other occupied space by mechanical air conditioning equipment. Sensors or time schedules are used to estimate ventilation need and automated control loops are used to meet a set point determined by a design engineer. The design engineer references a codified standard when determining ventilation set points.


There is a significant energy saving potential in rigorous outdoor air control.<ref>Federal Energy Management Program. (2004). Demand-controlled Ventilation Using CO<sub>2</sub> Sensors. Federal Energy management Program. Retrieved from http://www1.eere.energy.gov/femp/pdfs/fta_co2.pdf</ref><ref>American Society of Heating, Refrigerating and Air-Conditioning Engineers, The American Institute of Architects, Illuminating Engineering Society of North America, U.S. Green Building council & U.S. Department of Energy. (2011). Advanced Energy Design Guide for K-12 School Buildings.
There is a significant energy saving potential in rigorous outdoor air control. http://www1.eere.energy.gov/femp/pdfs/fta_co2.pdf


Common reference standards for ventilation:
Common reference standards for ventilation:
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* Motion sensors (various technologies including: Audible sound, inaudible sound, infared)<ref>KMC Controls. (2013). Demand Control Ventilation Benefits for Your Building. Retrieved 25 March 2013, from http://www.kmccontrols.com/docs/DCV_Benefits_White_Paper_KMC_RevB.pdf</ref>
* Motion sensors (various technologies including: Audible sound, inaudible sound, infared)<ref>KMC Controls. (2013). Demand Control Ventilation Benefits for Your Building. Retrieved 25 March 2013, from http://www.kmccontrols.com/docs/DCV_Benefits_White_Paper_KMC_RevB.pdf</ref>
* Gas detection (CO2)</ref> In a survey on Norwegian schools, using CO<sub>2</sub> sensors for DCV was found to reduce energy consumption by 62% when compared with a constant air volume (CAV) ventilation system.<ref>Mysen, M., Berntsen, S., Nafstad, P. & Schild, P. G. (2005). Occupancy Density and Benefits of Demand-controlled Ventilation in Norwegian Primary Schools. Energy and Buildings, 37(12), 1234–1240. Retrieved October 9, 2012.</ref>
* Gas detection (CO2)</ref> In a survey on Norwegian schools, using CO<sub>2</sub> sensors for DCV was found to reduce energy consumption by 62% when compared with a constant air volume (CAV) ventilation system.<ref>Mysen, M., Berntsen, S., Nafstad, P. & Schild, P. G. (2005). Occupancy Density and Benefits of Demand-controlled Ventilation in Norwegian Primary Schools. Energy and Buildings, 37(12), 1234–1240. Retrieved October 9, 2012.</ref>
* positive control gates
* Positive control gates
* ticketing sales
* Ticket sales
* Security equipment data share (including people counting video software)<ref>{{cite web|last=University of California, Merced|title=Occupancy Measurement, Modeling and Prediction for Energy Efficient Buildings|url=http://andes.ucmerced.edu/research/occupancy.html|accessdate=26 March 2013}}</ref><ref>{{cite web|last=Lawrence Berkeley National Laboratory|title=Carbon Dioxide Measurement & People Counting for Demand Controlled Ventilation|url=http://www.demandcontrolledventilation.lbl.gov|accessdate=26 March 2013}}</ref>
* Security equipment data share (including people counting video software)<ref>{{cite web|last=University of California, Merced|title=Occupancy Measurement, Modeling and Prediction for Energy Efficient Buildings|url=http://andes.ucmerced.edu/research/occupancy.html|accessdate=26 March 2013}}</ref><ref>{{cite web|last=Lawrence Berkeley National Laboratory|title=Carbon Dioxide Measurement & People Counting for Demand Controlled Ventilation|url=http://www.demandcontrolledventilation.lbl.gov|accessdate=26 March 2013}}</ref>
* Inference from other system sensors/equipment
* Inference from other system sensors/equipment

Revision as of 10:40, 18 March 2015

Demand Controlled Ventilation (DCV) is automatic adjustment of ventilation equipment to meet occupant demand. DCV is a control method used to modulate the volume of fresh air taken into a building or other occupied space by mechanical air conditioning equipment. Sensors or time schedules are used to estimate ventilation need and automated control loops are used to meet a set point determined by a design engineer. The design engineer references a codified standard when determining ventilation set points.

There is a significant energy saving potential in rigorous outdoor air control. http://www1.eere.energy.gov/femp/pdfs/fta_co2.pdf

Common reference standards for ventilation:

  • ISO ICS 91.140.30: Ventilation and air-conditioning systems
  • ASHRAE 62.1 & 62.2: The standards for Ventilation and Indoor Air Quality

Examples of estimating occupancy

  • Timed schedules
  • Motion sensors (various technologies including: Audible sound, inaudible sound, infared)[1]
  • Gas detection (CO2)</ref> In a survey on Norwegian schools, using CO2 sensors for DCV was found to reduce energy consumption by 62% when compared with a constant air volume (CAV) ventilation system.[2]
  • Positive control gates
  • Ticket sales
  • Security equipment data share (including people counting video software)[3][4]
  • Inference from other system sensors/equipment


References

  1. ^ KMC Controls. (2013). Demand Control Ventilation Benefits for Your Building. Retrieved 25 March 2013, from http://www.kmccontrols.com/docs/DCV_Benefits_White_Paper_KMC_RevB.pdf
  2. ^ Mysen, M., Berntsen, S., Nafstad, P. & Schild, P. G. (2005). Occupancy Density and Benefits of Demand-controlled Ventilation in Norwegian Primary Schools. Energy and Buildings, 37(12), 1234–1240. Retrieved October 9, 2012.
  3. ^ University of California, Merced. "Occupancy Measurement, Modeling and Prediction for Energy Efficient Buildings". Retrieved 26 March 2013.
  4. ^ Lawrence Berkeley National Laboratory. "Carbon Dioxide Measurement & People Counting for Demand Controlled Ventilation". Retrieved 26 March 2013.
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