In Europe, among the major contributors to GHG emissions, buildings occupy a key place with high savings potential. Energy planning is an effective solution towards sustainability: instruments useful to understand how existing and planned policies influence the energy consumption are fundamental for decision makers. This paper describes a methodology able to asses, in a mid-long term, the buildings energy consumption of a municipality by means of a simulation approach and of a geo-referenced characterization of the stock. The tool is able to identify the success of different policy actions by the exploration of significant scenarios. Starting from consumption data, a model to evaluate heating demand is defined as different savings opportunities. Furthermore, from the geo-referenced representation of networks, through the integrated procedure, it is possible to perform the optimization of the district heating network layout. A case study application in Turin is presented. The result highlights the advantages of coupling a GIS application and an energy demand forecasting model to build up a tool aimed at supporting decision making. Main results are the evaluation of consumptions, total costs and the release of policy suggestions. Geo-referenced maps are the important second result, allowing to put in evidence criticalities and policy effects through thematic maps.
Urban energy planning: a GIS-based model for the evaluation of buildings energy consumption and for the optimization of district heating networks / Delmastro, Chiara; Mutani, Guglielmina; Schranz, Laura. - STAMPA. - 1:(2014), pp. 113-118. (Intervento presentato al convegno VIII CONGRESSO NAZIONALE AIGE tenutosi a Reggio Emilia nel 9-10 Giugno 2014).
Urban energy planning: a GIS-based model for the evaluation of buildings energy consumption and for the optimization of district heating networks
DELMASTRO, CHIARA;MUTANI, GUGLIELMINA;SCHRANZ, LAURA
2014
Abstract
In Europe, among the major contributors to GHG emissions, buildings occupy a key place with high savings potential. Energy planning is an effective solution towards sustainability: instruments useful to understand how existing and planned policies influence the energy consumption are fundamental for decision makers. This paper describes a methodology able to asses, in a mid-long term, the buildings energy consumption of a municipality by means of a simulation approach and of a geo-referenced characterization of the stock. The tool is able to identify the success of different policy actions by the exploration of significant scenarios. Starting from consumption data, a model to evaluate heating demand is defined as different savings opportunities. Furthermore, from the geo-referenced representation of networks, through the integrated procedure, it is possible to perform the optimization of the district heating network layout. A case study application in Turin is presented. The result highlights the advantages of coupling a GIS application and an energy demand forecasting model to build up a tool aimed at supporting decision making. Main results are the evaluation of consumptions, total costs and the release of policy suggestions. Geo-referenced maps are the important second result, allowing to put in evidence criticalities and policy effects through thematic maps.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2548340
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