Performance of fixed, air-side economizer, and neural network demand-controlled ventilation in CAV systems
- Univ. of Kansas, Lawrence, KS (United States). Architectural Engineering Dept.
- Univ. of Colorado, Boulder, CO (United States)
The performance of four popular ventilation strategies in ten different US cities for a typical small office building with a single-zone constant-air-volume (CAV) HVAC system is presented in this paper. These ventilation strategies include fixed-rate ventilation, sensible and enthalpy-based air-side economizers, and CO{sub 2}-based demand-controlled ventilation using an artificial neural network control algorithm. A commercial version of DOE 2.1E (Acrosoft 1994) is used to determine the hour-by-hour non-ventilation loads for a sample office building and the supply airflow rate for its constant air-volume rooftop unit. The weather data and computer models of the different ventilation strategies are then used to find the annual heating and cooling energy consumption in each of the ten cities. Conclusions are drawn on the relative performance of the ventilation strategies in the various climates. Recommendations are made for further study including experimental work and studies of variable air volume with neural network control of outdoor air admission.
- OSTI ID:
- 687594
- Report Number(s):
- CONF-980650-; TRN: IM9944%%259
- Resource Relation:
- Conference: 1998 ASHRAE summer annual meeting, Toronto (Canada), 20 Jun 1998; Other Information: PBD: 1998; Related Information: Is Part Of ASHRAE transactions 1998: Technical and symposium papers. Volume 104, Part 2; PB: 1511 p.
- Country of Publication:
- United States
- Language:
- English
Similar Records
The impact of demand-controlled and economizer ventilation strategies on energy use in buildings
Computer simulation of ventilation strategies for maintaining an acceptable indoor air quality in office buildings