LAPSE:2023.19655
Published Article

LAPSE:2023.19655
County Clustering with Bioenergy as Flexible Power Unit in a Renewable Energy System
March 9, 2023
Abstract
The pressure on the energy sector to reduce greenhouse gas emissions is increasing. In the light of current greenhouse gas emissions in the energy sector, further expansion of renewable energy sources (RES) is inevitable to reduce emissions and reach the climate goals. This study aims at investigating structural characteristics of German counties regarding advantages for self-sufficient power systems based on RES. The modelling of the power sector based on RES is coupled with a cluster analysis in order to draw a large-scale conclusion on structural characteristics beneficial or obstructive for municipal energy systems. Ten clusters are identified with the Ward algorithm in a hierarchical-agglomerative method. The results underline a further need for RES expansion projects in order to close the gap between supply and demand. Only then, bioenergy can effectively balance the offset and support a truly self-sufficient local energy system. While the model results indicate that the majority of the counties are suitable for further expansion, this suitability is to be questioned in cluster 10. High population density is a critical characteristic, because with it come both a high demand and limited sites for further RES expansion projects.
The pressure on the energy sector to reduce greenhouse gas emissions is increasing. In the light of current greenhouse gas emissions in the energy sector, further expansion of renewable energy sources (RES) is inevitable to reduce emissions and reach the climate goals. This study aims at investigating structural characteristics of German counties regarding advantages for self-sufficient power systems based on RES. The modelling of the power sector based on RES is coupled with a cluster analysis in order to draw a large-scale conclusion on structural characteristics beneficial or obstructive for municipal energy systems. Ten clusters are identified with the Ward algorithm in a hierarchical-agglomerative method. The results underline a further need for RES expansion projects in order to close the gap between supply and demand. Only then, bioenergy can effectively balance the offset and support a truly self-sufficient local energy system. While the model results indicate that the majority of the counties are suitable for further expansion, this suitability is to be questioned in cluster 10. High population density is a critical characteristic, because with it come both a high demand and limited sites for further RES expansion projects.
Record ID
Keywords
bioenergy, energy system model, energy systems analysis, energy transition, power demand, renewable energy potentials
Subject
Suggested Citation
Stößel L, Poddie L, Spratte T, Schelenz R, Jacobs G. County Clustering with Bioenergy as Flexible Power Unit in a Renewable Energy System. (2023). LAPSE:2023.19655
Author Affiliations
Stößel L: Chair for Wind Power Drives, RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany [ORCID]
Poddie L: Chair for Wind Power Drives, RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany
Spratte T: Chair for Wind Power Drives, RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany
Schelenz R: Chair for Wind Power Drives, RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany
Jacobs G: Institute for Machine Elements and System Engineering, RWTH Aachen University, Schinkelstraße 10, 52062 Aachen, Germany [ORCID]
Poddie L: Chair for Wind Power Drives, RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany
Spratte T: Chair for Wind Power Drives, RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany
Schelenz R: Chair for Wind Power Drives, RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany
Jacobs G: Institute for Machine Elements and System Engineering, RWTH Aachen University, Schinkelstraße 10, 52062 Aachen, Germany [ORCID]
Journal Name
Energies
Volume
14
Issue
17
First Page
5227
Year
2021
Publication Date
2021-08-24
ISSN
1996-1073
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Original Submission
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PII: en14175227, Publication Type: Journal Article
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LAPSE:2023.19655
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https://doi.org/10.3390/en14175227
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Mar 9, 2023
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