Multidimensional procedure for mapping and monitoring urban energy vulnerability at regional level using public data: Proposal and implementation into a case study in Spain

被引:12
|
作者
Teres-Zubiaga, Jon [1 ]
Gonzalez-Pino, Iker [1 ]
Alvarez-Gonzalez, Irantzu [2 ]
Campos-Celador, Alvaro [3 ]
机构
[1] Univ Basque Country, Fac Engn Bilbao, Energy Engn Dept, ENEDI Res Grp,UPV EHU, Plaza Ingeniero Torres Quevedo 1, Bilbao 48013, Spain
[2] Univ Basque Country, Fac Engn Bilbao, Dept Graph Express & Engn Projects, SAREN Res Grp,UPV EHU, Rafael Moreno Pitxitxi 2, Bilbao 48013, Spain
[3] Univ Basque Country, Fac Engn Gipuzkoa, Energy Engn Dept, ENEDI Res Grp,UPV EHU,Eibar Sect, Av Otaola 29, Eibar 20600, Spain
关键词
Energy vulnerability; Energy poverty; Fuel poverty; Open data; Energy performance certificates; Cadastral data; FUEL POVERTY; POLICY; PERSPECTIVE; DEMAND; IMPACT; CITY;
D O I
10.1016/j.scs.2022.104301
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Energy poverty is nowadays one of the biggest challenges to be tackled in the European Union, so identifying the number of households in a situation of energy vulnerability and taking the necessary measures to protect vulnerable and energy poor customers is considered to be essential. In this study, a simple methodology for identifying and monitoring energy vulnerable areas based on information available in public databases is pre-sented. This paper brings to light the potential of existing public data for evaluating energy vulnerability, and the nature of these data also enables the evolution of vulnerability levels and the effect of potential measures implemented to be evaluated. The proposed method allows energy vulnerability to be mapped and diagnosed, at census section level, by means of a three-dimensional index that takes into account building features and energy expenses and two socio-economic indicators, giving rise to a vulnerability traffic-light. The method is then illustrated with the evaluation of the energy vulnerability of a region located in northern Spain (Greater Bilbao), where 13% of the census sections or 93,000 inhabitants reside (11% of the total population analysed), have been identified as suffering different levels of energy vulnerability. A geographical pattern has also been clearly recognised.
引用
收藏
页数:21
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