Abstract
Against the background of global warming and climate change, unprecedented effort is required in the building sector for energy conservation. Energy recovery ventilator (ERV) with carbon dioxide (CO_2) demand-controlled algorithm has potential for contributing to energy saving in buildings and also to indoor air quality (IAQ) control. Concerning the development of ERV with CO_2-DCV system, optimization of CO_2 sensor layout, feedback algorithm and time between CO_2 sensing and air flow rate operation are critically important issues. In this paper, we focus on the field measurement and numerical prediction of time delay of CO_2 sensing from local CO_2 generation point to sensor location. In order to measure the residual life time of CO_2 in a real residential space, instantaneous and point CO_2 generator was originally developed. The residual life time of CO_2 were also numerically analyzed by adopting the ventilation effectiveness concept SVE6 (Scale for ventilation effectiveness No.6) proposed by Kobayashi and Kato et al. In this study, four cases were investigated to estimate the profiles of residual life time of CO_2 in a real residential space. The results were reasonably consistent with CFD predictions. Because SVE6 distribution is an essential IAQ indicator, it can contribute to the development of feedback algorithm of demand-controlled ventilation systems.
