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1.
A Bottom-Up Building Stock Model for Tracking Regional Energy Targets—A Case Study of Kočevje
Marjana Šijanec-Zavrl, Gašper Stegnar, Andraž Rakušček, Henrik Gjerkeš, 2016, izvirni znanstveni članek

Opis: 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.
Ključne besede: bottom-up modelling, renovation scenarios, building stock, regional energy policy
Objavljeno v RUNG: 25.10.2016; Ogledov: 5309; Prenosov: 239
.pdf Celotno besedilo (5,27 MB)

2.
Bottom-up modelling of continuous renovation and energy balance of existing building stock: case study Kočevje
Marjana Šijanec Zavrl, Gašper Stegnar, Andraž Rakušček, Henrik Gjerkeš, 2016, objavljeni znanstveni prispevek na konferenci

Opis: A dynamic bottom-up model of the building stock is developed and implemented in a case study of Kočevje urban region. In the model, national register of real estate is cross-linked to data from other registers, e.g. the energy performance certificates (EPC) and the subsidized energy renovation measures. Regular updates of the data in registers enable continual improvement of the model. Therenovation potential is determined with respect to the age of building components after the last renovation, while the energy performance of the building stock is based either on the EPC for a particular building if available or on the energy indicators of corresponding building type from IEE EPISCOPE building typology and IEE RePublic_ZEB. Thus, the bottom-up model of the building stock (BuilS) enable a profound overview of the total heat demand, final energy use and CO2 emissions of the entire stock. In the case study Kočevje, various strategies for improving the buildings towards more sustainable ones are presented with projections to 2030. The strategies, reference and intensive renovation scenario, are compared with more ambitious strategy that the municipality is looking towards in the frame of Covenant of Mayors commitment. The bottom-up model was validated against the metered energy use of buildings connected to district heating. In the case study the model shows how the implementation of various strategies lead to different impacts and how the ambitious municipal plans are going to produce independence from fossil fuels by fostering the use of wood biomass as a locally available sustainable energy supply. The Kočevje case study analysis demonstrates, at the local level how a concept of increasing renewable energy sources utilisation and building energy efficiency stimulated by progressive measures can respond to low carbon society and sustainable energy selfsupply challenges.
Ključne besede: modelling, renovation scenarios, building stock, region policies
Objavljeno v RUNG: 12.04.2016; Ogledov: 5786; Prenosov: 0
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