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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.

This paper describes the transient ventilation of two interconnected rooms.

R. Tovar and C.A. Campo Garrido

The governing equations in duct system flow analyses are nonlinear, and iterative solution methods must be used.

Eero-Matti Salonen and Rauno Holopainen

Annex 5 – the Air Infiltration and Ventilation Centre annual report 2010.

AIVC

This research, based on Computational Fluid Dynamics (CFD) analysis, focuses on the wind characteristics and the ventilation performance in the consecutive street canyons produced by various buildi

Byoungchull Oh, Ryozo Ooka, Takeaki Katsuki and Hideki Kikumoto

A field survey in a natural ventilated school building was carried out.

K. Kami, H. Kotani, T. Yamanaka, Y. Momoi, K. Sagara, T. Sakaguchi, and K. Tanaka

For patients, the sickroom is a place where they receive medical treatment and also a living space where they spend most of time in a day.

T. Inagaki, T. Yamanaka, K. Sagara, H. Kotani, Y. Momoi, T. Yamashita and N. Choi

In this paper, we created the CFD parts of four-way cassette type outlets for predicting easily the thermal environment of an office with packaged unit air-conditioning systems.

Hidekazu Tanaka, Masashi Imano, Yuzo Sakamoto

This study tested the feasibility of employing artificial neural network (ANN)-based predictive and adaptive control logics to improve thermal comfort and energy efficiency through a decrease in ov

Jin Woo Moon and Jae D. Chang
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