Next Article in Journal
Automatic Type Recognition and Mapping of Global Tropical Cyclone Disaster Chains (TDC)
Next Article in Special Issue
Introduction of Behavioral Parameterization in the EPC Calculation Method and Assessment of Five Typical Urban Houses in Wallonia, Belgium
Previous Article in Journal
Identifying Potential Area and Financial Prospects of Rooftop Solar Photovoltaics (PV)
Previous Article in Special Issue
Measurement of Heat-Flux of New Type Façade Walls
Open AccessArticle

A Bottom-Up Building Stock Model for Tracking Regional Energy Targets—A Case Study of Kočevje

1
Building and Civil Engineering Institute ZRMK, Dimičeva 12, 1000 Ljubljana, Slovenia
2
European Faculty of Law, Cankarjevo nabrežje 11, 1000 Ljubljana, Slovenia
3
Centre for Systems and Information Technologies, University of Nova Gorica, Vipavska 13, 5000 Nova Gorica, Slovenia
*
Author to whom correspondence should be addressed.
Academic Editor: Joanne Patterson
Sustainability 2016, 8(10), 1063; https://doi.org/10.3390/su8101063
Received: 30 July 2016 / Revised: 8 September 2016 / Accepted: 14 September 2016 / Published: 21 October 2016
The paper addresses the development of a bottom-up building stock energy model (BuilS) for identification of the building stock renovation potential by considering energy performance of individual buildings through cross-linked data from various public available databases. The model enables integration of various EE and RES measures on the building stock to demonstrate long-term economic and environmental effects of different building stock refurbishment strategies. In the presented case study, the BuilS model was applied in the Kočevje city area and validated using the measured energy consumption of the buildings connected to the city district heating system. Three strategies for improving the building stock in Kočevje towards a more sustainable one are presented with their impact on energy use and CO2 emission projections up to 2030. It is demonstrated that the BuilS bottom-up model enables the setting of a correct baseline regarding energy use of the existing building stock and that such a model is a powerful tool for design and validation of the building stock renovation strategies. It is also shown that the accuracy of the model depends on available information on local resources and local needs, therefore acceleration of the building stock monitoring on the level of each building and continually upgrading of databases with building renovation information is of the utmost importance. View Full-Text
Keywords: bottom-up modelling; renovation scenarios; building stock; regional energy policy bottom-up modelling; renovation scenarios; building stock; regional energy policy
Show Figures

Figure 1

MDPI and ACS Style

Šijanec Zavrl, M.; Stegnar, G.; Rakušček, A.; Gjerkeš, H. A Bottom-Up Building Stock Model for Tracking Regional Energy Targets—A Case Study of Kočevje. Sustainability 2016, 8, 1063.

AMA Style

Šijanec Zavrl M, Stegnar G, Rakušček A, Gjerkeš H. A Bottom-Up Building Stock Model for Tracking Regional Energy Targets—A Case Study of Kočevje. Sustainability. 2016; 8(10):1063.

Chicago/Turabian Style

Šijanec Zavrl, Marjana; Stegnar, Gašper; Rakušček, Andraž; Gjerkeš, Henrik. 2016. "A Bottom-Up Building Stock Model for Tracking Regional Energy Targets—A Case Study of Kočevje" Sustainability 8, no. 10: 1063.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop