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Die universellen Energiekennzahlen für Deutschland beinhalten bis dato über eine viertel Million Energieverbrauchskennzahlen von durch die BRUNATA-METRONA-Gruppe betreuten Mehrfamilienhäusern aus den vergangenen sechs Jahren. Ergänzt werden diese durch Energiekennzahlen aus dem privaten Einfamilienhausbereich, die das Institut für Gebäude- und Solartechnik der Technischen Universität Braunschweig erhoben hat. Die einheitliche Datenaufbereitung umfasst die rückwirkende Revision bzw. Normierung aller Energiekennzahlen anhand neuer ortsgenauer Klimafaktoren des Deutschen Wetterdienstes. Eine Auswahl von etwa 70.000 Energiekennzahlen gas- und ölbeheizter kleiner Wohngebäude bis typisch 280 m2 Nutzfläche werden gemäß ihrer Kennzahlenentwicklung nach Gebäudegröße und Nutzung als Mehrfamilienhaus oder Einfamilienhaus aufgeschlüsselt. Die Ergebnisse sollen u. a. dazu beitragen, den Heizenergieverbrauch und die Energiekennzahlverteilung des gesamten bundesdeutschen Wohnungsbestandes belastbar hochzurechnen.

Universal Energy Ratings for Germany - Part 4: Specific heating-energy consumption of small houses and consumption projection for the total housing stock.
To date, the universal energy ratings for Germany contain more than a quarter of a million energy-consumption ratings from the apartment buildings serviced by the BRUNATA-METRONA Group over the past six years. These are supplemented by energy ratings from the private detached i.e. one-family house sector, which have been compiled by the Institute for Building and Solar Technology at the Technical University of Braunschweig. The standard data processing includes the retroactive revision or normalisation of all the energy ratings using new, localised climate factors from the German Weather Service. A subset of some 70,000 energy ratings for small, gas- or oil-heated residential buildings up to typically 280 m2 floor area is broken down by change in energy rating as a function of building size and of their use as apartment houses or detached, one-family houses. Among other uses, the results will help to extrapolate the heating-energy consumption and the energy-rating distribution of the entire German housing stock in a robust and resilient manner.
 
Source:     Bauphysik 33 (2011), No. 4
 
Page/s:     243-253
 
Language of Publication:     German



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