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EnglishThe energy efficiency of existing buildings is one of the challenges launched by the EPBD recast. The RWTH Aachen University accepted this challenge and started the project EnEff: Campus - Roadmap aiming at reducing the specific primary energy consumption of the university campus building stock (about 300 buildings) by 50 % until 2025. For the estimation of refurbishments for this kind of big data, data mining techniques can be used like the CART method (Classification and Regression Tree). In this investigation, the method applied on the RWTH Aachen buildings stock and the estimated results will be compared to results from a simple data mining technique, called visual method. The comparison is performed by using low-order dynamic building model (LOM) performance simulation through the Modelica AixLib. The determined results of the recommendation of the CART method will be discussed and evaluated in this paper.
Case Study for Energy Efficiency Measures of Buildings on an Urban Scale / Dirutigliano, Domenico.; Brüntjen, Mark Alexander; Fliegner, Christian; Frisch, Jérôme; Corrado, Vincenzo; VAN TREECK, Christoph. - ELETTRONICO. - (2018), pp. 403-410. ((Intervento presentato al convegno Building Simulation Applications - BSA 2017 - 3rd IBPSA-Italy conference tenutosi a Bozen-Bolzano nel 8th–10th February 2017.
| Titolo: | Case Study for Energy Efficiency Measures of Buildings on an Urban Scale |
| Autori: | |
| Data di pubblicazione: | 2018 |
| Serie: | |
| Abstract: | The energy efficiency of existing buildings is one of the challenges launched by the EPBD recast.... The RWTH Aachen University accepted this challenge and started the project EnEff: Campus - Roadmap aiming at reducing the specific primary energy consumption of the university campus building stock (about 300 buildings) by 50 % until 2025. For the estimation of refurbishments for this kind of big data, data mining techniques can be used like the CART method (Classification and Regression Tree). In this investigation, the method applied on the RWTH Aachen buildings stock and the estimated results will be compared to results from a simple data mining technique, called visual method. The comparison is performed by using low-order dynamic building model (LOM) performance simulation through the Modelica AixLib. The determined results of the recommendation of the CART method will be discussed and evaluated in this paper. |
| ISBN: | 978-886046136-0 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| BSA 2017_Dirutigliano et al.pdf | Memoria | 2a Post-print versione editoriale / Version of Record |  | Visibile a tuttiVisualizza/Apri |
http://hdl.handle.net/11583/2713501
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