Sensor-based demand-controlled ventilation: a review

TLDR: In this paper, the authors proposed a sensor-based demand-controlled ventilation (SBDCV) system for better control of indoor pollutant concentrations, and lower energy use and peak energy demand.

About: This article is published in Energy and Buildings.The article was published on 1998-12-01 and is currently open access. It has received 171 citations till now. The article focuses on the topics: Demand controlled ventilation & Ventilation (architecture).

Figures

Fig. 3. Predicted time history of pollutant concentration after ventilation rate is from 1 hK’ to 2 h-l (curve 1) or 1 h-’ to 3 h-l (curve 2).

Fig. 1. Equilibrium relationship between indoor carbon dioxide concentration and ventilation rate on Eq. (2). A carbon dioxide generation rate of 0.30 1 min ’ per person and an outdoor concentration of 350 ppm were assumed.

Fig. 1. Equilibrium relationship between indoor carbon dioxide concentration and ventilation rate on Eq. (2). A carbon dioxide generation rate of 0.30 1 min ’ per person and an outdoor concentration of 350 ppm were assumed.

Frequently asked questions

Q1. What have the authors contributed in "Sensor-based demand-controlled ventilation: a review" ?

Based on theoretical considerations and on a review of literature, SBDCV has the highest potential to be cost-effective in applications with the following characteristics: ( a ) a single or small number of pollutants dominate so that ventilation sufficient to control the concentration of the dominant pollutants provides effective control of all other pollutants ; ( b ) large buildings or rooms with unpredictable temporally variable occupancy or pollutant emission ; and ( c ) climates with high heating or cooling loads or locations with expensive energy. The case studies reviewed suggest that in appropriate applications, SBDCV produces significant energy savings with a payback period typically of a few years.