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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.

The UK Government strategy for all new homes to be built to zero carbon standards by 2016 is based upon a “fabric first” approach to design.

Tim Taylor, John Counsell, Andrew Geens, Steve Gill and Gerraint Oakley

In order to get more effective natural ventilation into a room with a single sided opening or large depth, two new window types have been developed in the laboratory.

Fang Ruan and Nianping Li

With the rapid development of urbanization, the economy and number of vehicles, the urban climate has worsened in recent years, causing serious urban problem

Qihong Deng, Guangxing He, Chan Lu and Weiwei Liu

This study presents an optimization method of sensor layout to improve identification accuracy of indoor contaminant sources.

Hao Cai Xianting Li, Lingjuan Kong and Xiaoliang Shao

Based on the theoretical and experimental studies of natural ventilation, the performance of natural ventilators has been analysed.

Jinhua Chen, Yunlin Peng and Shuxia Wu

The built environment in China is required to achieve a 50% reduction in carbon emissions by 2020 against the 1980 design standard.

C. Alan Short, Runming Yao, Guozhi Luo and Baizhan Li

This paper presents a method for predicting occupants’ indoor thermal sensation in naturally-ventilated environments, based on real thermal sensation samples, using a GA-BP neural network model.

Nan Li, Wei Yu and Baizhan Li

To study the thermal effects on airflow in a street canyon under real heating conditions (due to diurnal solar radiation), a one-way static approach combining an urban canopy model and CFD is propo

Jing Liu, Zhiwen Luo, Jianing Zhao and Taoyao Shui
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