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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.

Multi-objective optimization algorithms are used in the building design process to find optimal solutions for design problems.

P. Hoes, M. Trcka, J.L.M. Hensen and B. Hoekstra Bonnema

This paper introduces a newly developed multi-criteria decision making tool called RR-PARETO and its application to HVAC design.

Tham, K.W., Raphael, B. and Pantelic, J.

This report describes the utility of coupling an energy simulation tool and computational fluid dynamics (CFD) for modelling a heating, ventilation and air-conditioning (HVAC) system, and demonstra

Gyuyoung Yoon, Junya Kondo, Yuka Sakai, Takeshi Watanabe, Satoru Iizuka, Masaya Okumiya

Excess energy consumption of HVAC system is not usually noticed without the dissatisfaction to thermal environment.

Kuniaki Mihara, Katsuhiro Miura, Yoshinobu Arai, Satoshi Togari

The need to reduce radically the energy used by buildings is leading to new design practices.

Robina Hetherington, Robin Laney, Stephen Peake and David Oldham

This paper outlines a methodology for the calibration of detailed building energy simulation (BES) models using an analytical optimisation approach.

Daniel Coakley, Paul Raftery, Padraig Molloy and Gearóid White

This paper describes the development of a modelling approach which combines the energy use in industrial production, with the energy flows relating to the building.

Michael.R.Oates, Andrew Wright, Richard Greenough, Li Shao

With the rising individual demand for energy as well as the diminishing fossil energy resources, new opti-mized concepts for energy supply and usage are re-quired for future buildings.

Torsten Schwan, Bernhard Bäker, René Unger, B. Mikoleit, Christian Kehrer
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