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Bibliographic database Airbase

AIRBASE is the Bibliographic Database of the AIVC. It contains publications and abstracts of articles related to energy efficient ventilation. Where possible, sufficient detail is supplied in the bibliographic details for users to trace and order the material via their own libraries. Topics include: ventilation strategies, design and retrofit methods, calculation techniques, standards and regulations, measurement methods, indoor air quality and energy implications etc. Entries are based on articles and reports published in journals, internal publications and research reports, produced both by university departments and by building research institutions throughout the world. AIRBASE has grown and evolved over many years (1979 to present day, over 22000 references and 16000 documents available online). For most of the references, the full document is also available online.

Access to the publications is free of charge.

The relation between the concentration and particle size of the human breathing and the way in which these particles are dispersed in hospital indoor environments are studied in this research.

Inés Olmedo, Fernando Peci, José Luis Sanchez-Jimenez, Manuel Ruiz de Adana
2_C9.pdf (1.07 MB)

Particulate matter (PM) is one of the most critical pollutants affecting indoor air quality (IAQ). Hence, reducing the exposure of occupants to indoor PM pollution is critical.

Jesús Marval, Luis Medina, Juan Vallejo, Paolo Tronville
2_C10.pdf (2 MB)

The importance of moisture control in indoor environments is increasingly recognized Air humidity affects buman bealth and comfort, and it is also connected to the durability of

Stefano Zanon, Rossano Albatici
2_C11.pdf (1.16 MB)

This paper focuses on a thermal simulation model of office rooms and experiments necessary to adequately estimate the required model parameters.

Felix Nienaber, Alexander Kümpel, Kai Rewitz, Dirk Müller
2_C12.pdf (1.13 MB)

Data from mechanical extract ventilation units of Renson Ventilation nv installed in Belgium is utilized to detect space occupancy through machine learning.

Sundaravelpandian Singaravel, Steven Delrue, Ivan Pollet, Steven Vandekerckhove
2_C13.pdf (1.08 MB)