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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.

Domestic heating systems often work with too high supply temperatures. This means that heat genera-tors and especially heat pumps work with a lower effi-ciency than possible.

Kristian Huchtemann, Rita Streblow, Dirk Muller

Three versions (type 1, 2 and 3) of untypical climate data based on the Weather Year for Energy Calculations 2 (WYEC2) methodology were calculated.

Piotr Narowski, Marcin Janicki, Dariusz Heim

This paper presents our research and development of system interfaces between Building Information Modeling (BIM) and Building Energy Modeling (BEM), for supporting integrated architectural design

Wei Yan, Mark Clayton, Jeff Haberl, WoonSeong Jeong, Jong Bum Kim, Sandeep Kota, Jose Luis Bermudez Alcocer, Manish Dixit

To successfully meet emissions targets and reduce energy demand in the built environment, high targets have been set for building fabric performance.

Samuel Stamp, Robert Lowe, Hector Altamirano-Medina

          

Akomeno Omu, Ruchi Choudhary, Alasdair Young

This paper consists in the presentation of a new simulation tool aimed at the detailed prediction of HVAC systems, developed by the authors in order to fulfill specific needs derived from particula

Luigi Schibuola, Massimiliano Scarpa, Chiara Tambani
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