Computational predictions of buildings' indoor-environmental conditions and energy performance would presumably benefit from the inclusion of models that could reliably capture occupants' window op
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.
Computational predictions of buildings' indoor-environmental conditions and energy performance would presumably benefit from the inclusion of models that could reliably capture occupants' window op
One proposed mitigation to reduce transmission of the SARS-CoV-2 virus and other airborne pathogens is to increase ventilation in buildings.
Monitoring and regulating the air quality inside critical infrastructure is essential for protecting occupants from external and internal airborne threats, such as pollutants, toxic chemicals, and
Most current building materials are industrially processed, resulting in increased carbon emissions.
The quality of indoor air in buildings depends on many factors. Some of these factors have internal sources, and some have external sources.