LoginBibliographic 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.
During the last years, the modeling language Modelica became increasingly used in building performance simulation. Several Modelica libraries for building components and HVAC equipment exist and many research groups use the language.
The potential for utilization of the building mass thermal capacity for demand side management in the residential sector is addressed.
This research proposes a Bayesian approach to include uncertainty that arises from modeling process and input values when predicting cooling and heating consumption in existing buildings. Our approach features Gaussian Process modeling.
Given the dominating impact of the built environment on global carbon emissions, reducing operational energy use in buildings has long been considered a key strategy towards more sustainable urban development.
This paper presents a method using a spectral approach to simulate a hybrid ground-coupled heat pump system.
High-order models of building performance are the preferred tool, but their complexity and time requirements can cause difficulties when attempting to create large sets of models or when used by non-experts.
Towards the achievement of Nearly-Zero Energy Buildings (nZEB), the call for high performance Building Systems (BS) is undeniable.
This paper describes the development and uses of a new software program called cMap that calculates and visualizes thermal comfort parameters throughout a space and over time.
Building performance simulation often fails to predict accurately the real energy performance, mostly due to great uncertainties in the input data.
The current paper is concerned with a case study of a residential house, located in Ireland, which has been recently retrofitted from a conventional mixed fuel dwelling to a smart grid enabled all-electric dwelling.
This paper presents a building energy simulation study of the impact of electrical peak demand reduction strategies in a large office tower in New York that has extensive use of daylight responsive dimmable ballasts, and under floor air distributi
Many building energy prediction models have been developed during the past decades. While popular tools such as Energy Star target single-use buildings, few have focused on mixed-use buildings due to its complexity.
We present a case study of the bioclimatic design of a passively-ventilated office building in a hot and humid region. A novel adaptive, locally-orientated comfort criterion, the UTCI, was used as a key metric.
With the present drive to add renewable generation capacity to existing electrical networks, utility providers are seeking ways to store electrical energy as a means of prioritising renewable sources against an unfavourable load profile.
The Flemish EPB calculation method, in accordance with the EU EPBD, determines an insulation label and an energy performance label as an assessment method for the theoretical energy performance of buildings.
Design principles in Net-ZEB consider the local en-ergy infrastructure as the virtual storage. Thus a large amount of energy exchange occurs with the grid and these buildings rely heavily on the grid to reach an-nual zero balance.
The analysis of innovative designs that tightly inte-grate architectural and energy systems presents a chal-lenge for existing building performance simulation (BPS) tools.
The paper focuses on parameter estimation processes for physically meaningful models tuned online and de-fine a process to determine whether a model is rele-vant or not for GMBA-BEMS tuning purpose.