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Integrating residential energy efficiency measures into optimizing urban energy system models

Mainzer, Kai; McKenna, Russell; Fichtner, Wolf

Due to the complexity and importance of energy-political decisions, optimization models, which are able to capture the many interactions between different energy carriers and technologies, have become common tools for decision support.
Especially for regional energy systems, i.e. for the scope of single municipalities, demand side residential efficiency measures, like domestic retrofitting or the installation of efficient lighting and white goods, are vital tools for reducing and shaping the future energy demand.
These measures, however, are commonly not integrated well in optimization models – or not at all. This paper proposes a new method for the integration of residential efficiency measures in optimizing urban energy system models, which seeks to remedy with these issues. Efficiency measures are modelled as technologies which are able to convert energy between carriers with given conversion rates, e.g. in the case of LEDs from electricity to luminous energy and heat. In order to achieve this, demand is fed into the model as an energy services demand. This allows the model to choose from a range of available technologies which are able to satisfy this demand.
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Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2015
Sprache Englisch
Identifikator ISBN: 978-91-980482-6-1
ISSN: 1653-7025
KITopen-ID: 1000052547
Erschienen in ECEEE 2015 Summer Study Proceedings "First Fuel Now", Toulon/Hyères, France, 1 - 6 June 2015
Verlag ECEEE, Stockholm (Schweden)
Seiten 3-427-15
Serie Proceedings from ECEEE Summer Studies
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