Abstract
Indoor air quality (IAQ) inside educational institutions is an important topic in the field of building and health research. School absenteeism and educational performance have been linked to poor air quality inside classrooms. A numerical simulation software has been used to test 5 different scenarios of natural ventilation during summer and winter. CO2 levels, air relative humidity, operative temperature and PMV were used as indoor air quality and thermal comfort indicators. Results have shown high CO2 and humidity levels when all windows are closed, and a variable improvement when different natural ventilations strategies are employed. A detailed procedure for the numerical simulation has been presented.
Highlights
Since the energy crises of the 1970s, many of the leading industrial countries have been focusing on improving the energy efficiency strategies to reduce the overall energy consumption
The current paper focuses on developing a numerical simulation procedure that can be used to evaluate the efficiency of a natural ventilation strategy by monitoring the carbon dioxide (CO2) evolution inside a high school classroom full of students
For each of the ventilation scenarios the thermal comfort, air humidity and energy consumption were taken into consideration by extracting the variation of the operative temperature (TOP), relative indoor air humidity (RH), PMV, PPD, and heat load
Summary
Since the energy crises of the 1970s, many of the leading industrial countries have been focusing on improving the energy efficiency strategies to reduce the overall energy consumption. All these variables make it very difficult to propose a general guideline on how to achieve a healthy indoor environment without doing some in-situ measurements to verify the IAQ level. For each of the ventilation scenarios the thermal comfort, air humidity and energy consumption were taken into consideration by extracting the variation of the operative temperature (TOP), relative indoor air humidity (RH), PMV, PPD, and heat load The inclusion of these parameters allows to achieve a holistic view of the efficiency of the ventilation method which, correlated with the costs, can offer important information regarding the viability of the solution before implementing into practice. The results have been extracted using the “Design Builder Results Viewer” extension and the post processing of the data has been realized with Microsoft Excel
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