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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5i4djr4tgnbobnjegejzpw7nny" style="color: black;">Procedia Engineering</a>
Simulations enable detailed studies about the behavior of the building for optimizing the energy-efficiency. While this is an absolute advantage there are also problems regarding the daily work of experts because the simulations costs much time and before simulations can be done the configuration can be very huge and the pre-processing erroneous. To overcome these problems an eeBIM-ontology-based (Energy Enhanced BIM) framework is proposed applying inference rules to pre-check the input data<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.proeng.2014.10.554">doi:10.1016/j.proeng.2014.10.554</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wxt7ld6xivc6rphory666knvga">fatcat:wxt7ld6xivc6rphory666knvga</a> </span>
more »... to pre-analyse the energy performance on a lower detail level, before the simulation phase will start. The ontology specification provides the concepts and relations to describe the building, the external data like the climate data as well as the linking between the BIM-concepts and the external data. Furthermore, constraints and calculation methods are transferred as far as possible into logical rules. The surrounding ontology platform enables the integrating of the input data and manages the process of the calculation methods. It also defines certain external connection points for calculating methods, which cannot appropriate represented in rules. The ontology framework helps to identify building designs which have problems to fulfil energy performance requirements even at a very early stage of the design phase. So, the ontology follows the idea of typical engineering regulations including simplified methods for easy and practical use.
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