TY - UNPB

T1 - Energy-Smart Cities-DK

T2 - Benchmarking the energy situation of Danish municipalities. Background Report

AU - Fertner, Christian

AU - Groth, Niels Boje

PY - 2015

Y1 - 2015

N2 - In this report we present some overall results and the methodology behind the Energy-Smart Cities-DK model, a benchmark of the energy situation of Danish municipalities. The analysis was conducted by researchers at the University of Copenhagen, based on work by researchers at the Vienna University of Technology and further partners in the ongoing EU-FP7 project PLEEC (Giffinger, Hemis, Weninger, & Haindlmaier, 2014) .This particular project on benchmarking Danish municipalities is financed by the Danish energy service company NRGi and their affiliated company Kuben Management, who have an interest in exploring the operationalization of the smart city, a term which is widely used in current city development strategies. There are various definitions for that concept – we think the most important characteristic of a smart city is that it can activate and use the resources and capital available in a most efficient way – also in the long run, that means in a sustainable way.A key issue for smart city development is energy, mainly related to two future urban challenges: Climate change and resource scarcity (Droege, 2011; European Commission, 2010). At this background, the University of Copenhagen, Department for Geosciences and Natural Resource Management, Section for Landscape Architecture and Planning is involved in the European project PLEEC, which studies ways for more energy efficient urban planning, focusing on six case cities. To measure the energy situation in these cities, project partners from Vienna developed a benchmarking tool called “Energy-Smart City” (Giffinger et al., 2014). The model forms the basis for the benchmarking approach presented in this report, called “Energy-Smart City-DK”.This report presents the methodology of the benchmarking and some overall results related to a couple of typologies, but no detailed results for particular municipalities.

AB - In this report we present some overall results and the methodology behind the Energy-Smart Cities-DK model, a benchmark of the energy situation of Danish municipalities. The analysis was conducted by researchers at the University of Copenhagen, based on work by researchers at the Vienna University of Technology and further partners in the ongoing EU-FP7 project PLEEC (Giffinger, Hemis, Weninger, & Haindlmaier, 2014) .This particular project on benchmarking Danish municipalities is financed by the Danish energy service company NRGi and their affiliated company Kuben Management, who have an interest in exploring the operationalization of the smart city, a term which is widely used in current city development strategies. There are various definitions for that concept – we think the most important characteristic of a smart city is that it can activate and use the resources and capital available in a most efficient way – also in the long run, that means in a sustainable way.A key issue for smart city development is energy, mainly related to two future urban challenges: Climate change and resource scarcity (Droege, 2011; European Commission, 2010). At this background, the University of Copenhagen, Department for Geosciences and Natural Resource Management, Section for Landscape Architecture and Planning is involved in the European project PLEEC, which studies ways for more energy efficient urban planning, focusing on six case cities. To measure the energy situation in these cities, project partners from Vienna developed a benchmarking tool called “Energy-Smart City” (Giffinger et al., 2014). The model forms the basis for the benchmarking approach presented in this report, called “Energy-Smart City-DK”.This report presents the methodology of the benchmarking and some overall results related to a couple of typologies, but no detailed results for particular municipalities.

M3 - Working paper

T3 - Working paper

BT - Energy-Smart Cities-DK

PB - Centre for Strategic Urban Research

ER -