The paper presents a spatially explicit and “bottom-up”methodology for the building stock analysis of the residential sector. It integrates different input data in a Geographical Information System (GIS), with- out using the “archetypes approach”and simulation tools. In particular, the energy balance at the build- ing level (BL) for the whole Valle d’Aosta region (Italy) is addressed, using the Italian Ministerial De- cree 26/06/2009 and the UNI/TS 11300-1:2014 standard. Main outputs are the estimation of the geo- referenced heating demand of the residential buildings for the case study area (almost 42,0 0 0 buildings), and the development of a methodology that can be applied at different scales. The application of the methodology to the case study slightly overestimates the total thermal demand of the residential build- ing stock, especially referring to the more energy demanding buildings. However, being the method in- fluenced by data availability, the quality is expected to improve with newly available data. The proposed GIS-based methodology is designed to be part of a broader Spatial Decision Support System (SDSS) for sustainable energy plans that integrate renewable sources in the building stock energy renovation.

A bottom-up spatially explicit methodology to estimate the space heating demand of the building stock at regional scale / D'Alonzo, Valentina; Novelli, Antonio; Vaccaro, Roberto; Vettorato, Daniele; Albatici, Rossano; Diamantini, Corrado; Zambelli, Pietro. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - ELETTRONICO. - 206:(2019), p. 109581. [10.1016/j.enbuild.2019.109581]

A bottom-up spatially explicit methodology to estimate the space heating demand of the building stock at regional scale

D'Alonzo, Valentina;Vettorato, Daniele;Albatici, Rossano;Diamantini, Corrado;Zambelli, Pietro
2019

Abstract

The paper presents a spatially explicit and “bottom-up”methodology for the building stock analysis of the residential sector. It integrates different input data in a Geographical Information System (GIS), with- out using the “archetypes approach”and simulation tools. In particular, the energy balance at the build- ing level (BL) for the whole Valle d’Aosta region (Italy) is addressed, using the Italian Ministerial De- cree 26/06/2009 and the UNI/TS 11300-1:2014 standard. Main outputs are the estimation of the geo- referenced heating demand of the residential buildings for the case study area (almost 42,0 0 0 buildings), and the development of a methodology that can be applied at different scales. The application of the methodology to the case study slightly overestimates the total thermal demand of the residential build- ing stock, especially referring to the more energy demanding buildings. However, being the method in- fluenced by data availability, the quality is expected to improve with newly available data. The proposed GIS-based methodology is designed to be part of a broader Spatial Decision Support System (SDSS) for sustainable energy plans that integrate renewable sources in the building stock energy renovation.
D'Alonzo, Valentina; Novelli, Antonio; Vaccaro, Roberto; Vettorato, Daniele; Albatici, Rossano; Diamantini, Corrado; Zambelli, Pietro
A bottom-up spatially explicit methodology to estimate the space heating demand of the building stock at regional scale / D'Alonzo, Valentina; Novelli, Antonio; Vaccaro, Roberto; Vettorato, Daniele; Albatici, Rossano; Diamantini, Corrado; Zambelli, Pietro. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - ELETTRONICO. - 206:(2019), p. 109581. [10.1016/j.enbuild.2019.109581]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/244884
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