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</script>Smart energy cities in a 100% renewable energy context
The transition towards renewable energy will operate on different geographical scales. Many of the concrete steps will address the local level; however, these have to align with the broader energy perspective. It is therefore necessary to develop methods to enable cities to assess if their strategies are compatible with the surrounding energy systems. This paper presents a methodology to design Smart Energy Cities within the context of 100% renewable energy at a national level. Cities and municipalities should act locally what concerns local demands, but acknowledge the national context when addressing resources, industry and transport. The method is applied to the case of transitioning the municipality of Aalborg to a 100% renewable Smart Energy System within the context of a Danish and European energy system. The case demonstrates how it is possible to transition to a Smart Energy City that fits within a 100% renewable energy context of Denmark and Europe.
Renewable energy, 4th generation district heating, Energy storage, Smart Energy Systems, Smart energy systems, EnergyPLAN, Local energy systems, 100% renewable energy, Smart cities
Renewable energy, 4th generation district heating, Energy storage, Smart Energy Systems, Smart energy systems, EnergyPLAN, Local energy systems, 100% renewable energy, Smart cities
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).215 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
