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Other literature type . 2021
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2021
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2021
License: CC BY
Data sources: Datacite
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Development of Scenarios for Modelling of Districts' Energy Supply and Analysis of Interdependencies between Energy and ICT

Authors: Penaherrera, Fernando;

Development of Scenarios for Modelling of Districts' Energy Supply and Analysis of Interdependencies between Energy and ICT

Abstract

The increasing digital transformation in energy supply systems allowsgreater control and possibilities for performance optimization and efficiency.This is accompanied by increasing complexity of the system, and thus requiresthe evaluation of interactions between energy and information andcommunication technologies (ICT) involved. One of the goals of the project“Zukunftslabor Energie” (Future Laboratory “Digitalization Energy”) is toanalyze these interactions in highly integrated digitalized systems for districtenergy supply. For this, simulation studies must be conducted to configureflexibilities. A first step is to define appropriate analysis scenarios. Requirementsfor these scenarios, the related models, and one of the considered scenarios aredescribed in this paper. This allows to discuss the system, its boundaries, itscomponents, and their interactions. Future research requires an analysis anddiscussion of requirement specifications, data collection and treatment, modelconstruction, model implementation, and model validation.

Keywords

Energy Supply Scenarios; District Energy Supply; Smart-Grids; Digital Transformation of Energy Systems

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green