Sensitivity of exhaust-air façade performance prediction to modelling approaches in IDA ICE

dc.contributor.authorGelesz, A.
dc.contributor.statusnemhu_HU
dc.date.accessioned2021-04-07T13:01:29Z
dc.date.available2021-04-07T13:01:29Z
dc.date.issued2019-12-01
dc.description.abstractDouble skin façades are façade technologies that have the perspective of reducing energy use and improving comfort in buildings due to their adaptable nature. Exhaust-air façades offer the possibility to utilize solar energy by recovering heat from the façade cavity. However, the cavity overheating can be detrimental on the summer performance. Predicting performance and optimizing the system during the design phase is a challenge, especially when the cavity-air is integrated into the HVAC system. Whole-building energy simulation (BES) software tools are an adequate tool for calculating whole building performance, although these can have limitations in the accurate replication of complex building elements. The paper analyses the available and applied modelling approaches within a BES tool, and compares the outputs in terms of cavity temperature, horizontal and vertical temperature profiles, and heat flux through the façade. The sensitivity of the results on the modelling approach is evaluated. Results can serve as a guide for practitioners on the selection of the modelling approach for a given task.hu_HU
dc.identifier.doi10.1556/1848.2019.0028hu_HU
dc.identifier.issn2062-0810
dc.identifier.issue3hu_HU
dc.identifier.jtitleInternational Review of Applied Sciences and Engineering
dc.identifier.urihttp://hdl.handle.net/2437/305317
dc.identifier.urlhttps://akjournals.com/view/journals/1848/10/3/article-p241.xmlhu_HU
dc.identifier.volume10hu_HU
dc.language.isoenhu_HU
dc.publisherAkadémiai Kiadóhu_HU
dc.subjectdouble skin façadeshu_HU
dc.subjectexhaust-air façadehu_HU
dc.subjectbuilding energy simulationhu_HU
dc.subjectair-fl ow networkhu_HU
dc.subjectcomparative modellinghu_HU
dc.titleSensitivity of exhaust-air façade performance prediction to modelling approaches in IDA ICEhu_HU
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