performance assessment

A smart ventilation system is able to continually adjust itself to provide the desired indoor air quality (IAQ) while minimizing energy use, utility bills, thermal discomfort and noise. A smart ventilation system is also responsive to e.g. occupancy, outdoor conditions, direct sensing of contaminants and can provide information about e.g. IAQ, energy use and the need for maintenance or repair. Technically, all components for such systems are available in the market.  

The work reported in this paper extends previous work on the feasibility to characterise air leakage and mechanical ventilation avoiding intrusiveness of traditional measurement techniques. The feasibility to obtain the air renovation rate itself, as well as the possibilities to express it as function of other variables (such as wind speed, atmospheric pressure, etc.), are studied. Tracer gas measurements based on N2O have been used as reference.

The airtight window system adopted in highrise residential buildings or residential-commercial complexes recently in Korea gives rise to poor ventilation, deterioration of Indoor Air Quality (IAQ) and the overloading of cooling systems during the summer season. To address these problems, a slittype ventilation system has been developed. This study is to investigate the performance of the slit-type ventilation system using computer simulation. A thermal model coupled with an air flow network model which represents an apartment with an underfloor heating system was created.

When low carbon and renewable energy (RE) systems are adopted in a building, matching the outputs from RE systems (e.g. photovoltaic, solar collectors, small scale wind turbines and heat pumps) to demand has to be taken into account to fully realise the potential of the hybrid energy system.

Normally, the design of a ventilation system in a dwelling is based on national regulations, related design rules, building tradition and general knowledge about healthy indoor air quality, ventilation and air handling units. In practice, the actual performance of ventilation systems is determined by ventilation components, building properties, outdoor environment and occupant behavior. Unspecified items in the design rules and uncontrollable items in the design stage will bring uncertainties which may cause the actual performance deviating from the designed performance.

We investigate optimal supervisory control of a building energy system with cogeneration of heat and power (CHP). The system consists of a Stirling engine and a supplementary burner, space heating and a domestic hot water (DHW) storage tank. Cost and primary energy (PE)-optimal operation are considered.
The best theoretically possible operating strategy is found using the following assumptions: