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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 reports on research that uses building performance simulation and uncertainty analysis to assess the risks that projected climate change poses to the thermal performance of buildings, an

Pieter de Wilde and Wei Tian

We designed a new air supply window system to ventilate indoors through the air space of a double pane window and evaluated its insulation efficiency and probability of moisture condensation in ord

Sihwan Lee, Tanaka Miho, Shinsuke Kato

This paper presents a Simulation Domain Model (SimModel) - a new interoperable XML-based data model for the building simulation domain.

James O'Donnell, Richard See, Cody Rose, Tobias Maile, Vladimir Bazjanac and Phil Haves

For the surface temperature of clothing, body surface temperature, and detailed temperatures and heat flow phenomena of soles contacting the floor, results of measurement experiments using human su

Ryoichi Kajiya, Kodai Hiruta, Koji Sakai, Hiroki Ono, Toshihiko Sudo

This paper proposes an approach to identify the coefficients of the chiller model used by the EnergyPlus program.

Danielle Monfet, Radu Zmeureanu

This study presents optimal control strategies of the system using a Generalized Pattern Search and Genetic Algorithm.

Young-Jin Kim, Kyung-Soo Yoon, Cheol-Soo Park, Won-Jun Suh, Keon-Ho Lee

The aim of this work is to model the energy consumption and the on-site production of an existing building, the Leaf House (LH), that was designed in order to be a Net Zero CO2 emission home.

Maurizio Cellura, Lucia Campanella, Giuseppina Ciulla, Francesco Guarino

A combined simulation of the building envelope and the plant equipment is more realistic than simulating both separately and has the advantage that the modeler can use one software environment inst

Sebastian Burhenne, Jan Radon, Matthias Pazold, Sebastian Herkel and Florian Antretter
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