<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The paper presents the results of modelling airflow for ventilation of a single-family house with an area of 180 m<sup>2</sup>. The building was equipped with mechanical ventilation with the possibility of varying the airflow. The airflow was calculated as a function of carbon dioxide concentration. The presence of people in selected rooms was an internal source of carbon dioxide. In order to properly design of a ventilation system and then model the contamination level, ContamW software was used. The year-long cost analysis was carried out for the installation working with variable airflow (day, night). The analysis took into account the price of the electricity used by the fans of Air Handling Unit and meteorological data to estimate the power input to the heater of the Unit. Different scenarios of system operation were included as an input data in order to find a difference in energy consumption. The calculations were to answer the question of whether it is necessary to apply expensive and advanced system that enables individual control of the airflow in every room or use the simple control of the central unit to vary the airflow in the ventilation system of single-family houses. The difference in operating cost between the system that maintains 800 and 600 ppm reaches 100 % and demonstrates the need of simple demand controlled ventilation system.</p></abstract>

The paper presents the results of modelling airflow for ventilation of a single-family house with an area of 180 m2. The building was equipped with mechanical ventilation with the possibility of varying the airflow. The airflow was calculated as a function of carbon dioxide concentration. The presence of people in selected rooms was an internal source of carbon dioxide. In order to properly design of a ventilation system and then model the contamination level, ContamW software was used. The year-long cost analysis was carried out for the installation working with variable airflow (day, night). The analysis took into account the price of the electricity used by the fans of Air Handling Unit and meteorological data to estimate the power input to the heater of the Unit. Different scenarios of system operation were included as an input data in order to find a difference in energy consumption. The calculations were to answer the question of whether it is necessary to apply expensive and advanced system that enables individual control of the airflow in every room or use the simple control of the central unit to vary the airflow in the ventilation system of single-family houses. The difference in operating cost between the system that maintains 800 and 600 ppm reaches 100 % and demonstrates the need of simple demand controlled ventilation system.

Indoor Air Quality Assessment in a Single-Family House Equipped with Demand Controlled Mechanical Ventilation

Laboratory of Heating, Ventilation, Air Conditioning and Refrigeration

Ecological Chemistry and Engineering S

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The paper presents the results of modelling airflow for ventilation of a single-family house with an area of 180 m2. The building was equipped with mechanical...

Indoor Air Quality Assessment in a Single-Family House Equipped with Demand Controlled Mechanical Ventilation

Data publikacji: 14 paź 2020

Zakres stron: 387 - 402

DOI: https://doi.org/10.2478/eces-2020-0025

Słowa kluczowe
airflow modelling, carbon dioxide concentration, energy demand, operating cost, variable airflow

© 2020 Jarosław Müller et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Indoor Air Quality Assessment in a Single-Family House Equipped with Demand Controlled Mechanical Ventilation

Data publikacji: 14 paź 2020

Zakres stron: 387 - 402

DOI: https://doi.org/10.2478/eces-2020-0025

Słowa kluczoweairflow modelling, carbon dioxide concentration, energy demand, operating cost, variable airflow

© 2020 Jarosław Müller et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
airflow modelling, carbon dioxide concentration, energy demand, operating cost, variable airflow