| Issue |
E3S Web Conf.
Volume 689, 2026
14th International Symposium on Heating, Ventilation, and Air Conditioning (ISHVAC 2025)
|
|
|---|---|---|
| Article Number | 08006 | |
| Number of page(s) | 7 | |
| Section | HVAC System Modelling, Simulation, and Evaluation | |
| DOI | https://doi.org/10.1051/e3sconf/202668908006 | |
| Published online | 21 January 2026 | |
Performance of demand-controlled heat recovery ventilation systems with central and zonal control in a single-family house
1 Department of Civil Engineering and Architecture, Tallinn University of Technology, Tallinn, Estonia
2 Department of Civil Engineering, Aalto University, Espoo, Finland
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Improving ventilation efficiency in residential buildings is crucial to reducing energy consumption while maintaining indoor air quality. This study investigates three demand-controlled ventilation (DCV) strategies compared to a traditional constant airflow (CAV) system in a single-family house. The DCV strategies evaluated include central CO₂ control using a sensor in the exhaust duct, central CO₂ control using the highest reading from individual rooms, zonal CO₂ control with two zones prioritized by the highest CO₂ level in each, and constant airflow as the baseline system. Dynamic energy simulations were performed using a calibrated model based on Estonian climate conditions and a typical residential occupancy profile. Each control strategy was simulated in combination with three types of heat recovery ventilation units: rotary heat exchanger (RHE), energy recovery ventilator (ERV), and heat recovery ventilator (HRV). Results show that energy saving of demand-controlled system with dual-zone control was 33% while maintaining indoor air quality, but central control with exhaust sensor resulted in negligible saving. Notably, the dual-zone strategy with enthalpy recovery plate achieved the lowest overall energy consumption, reducing both space heating and fan electricity demand. The findings highlight the importance of sensor placement, control logic, and heat recovery selection in optimizing ventilation energy performance in residential buildings.
Publisher note: A typographic mistake in the DOI has been corrected in the PDF article on January 26, 2026.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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