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A data processing approach with built-in spatial resolution reduction methods to construct energy system models.

Open research Europe·2023
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Using the max-p regions problem algorithm to define regions for energy system modelling.

Christian Etienne Fleischer1

  • 1Europa-Universität Flensburg Germany.

Methodsx
|August 26, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new method using spatial data to define energy regions, improving energy system models. It helps group areas by electricity consumption, production, and storage for better analysis.

Keywords:
Max-p-regionsRenewablesSpatial aggregation

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Area of Science:

  • Energy Systems Analysis
  • Spatial Data Science
  • Geographic Information Systems

Background:

  • Energy system models often rely on aggregated data, limiting regional specificity.
  • Defining appropriate spatial regions is crucial for accurate energy system modeling.
  • Existing methods may not adequately capture energy-related spatial heterogeneities.

Purpose of the Study:

  • To present a novel method for defining energy regions using spatial data.
  • To improve the spatial resolution and accuracy of energy system models.
  • To assign administrative areas to regions based on electricity consumption, production, and storage similarities.

Main Methods:

  • Utilizing energy-related spatial datasets of administrative areas across 30 European countries.
  • Applying the max-p regions method, a heuristic approach for spatial clustering.
  • Integrating electricity consumption, production, and storage data into the region definition process.

Main Results:

  • A method for defining energy regions based on spatial data and the max-p regions problem is demonstrated.
  • The proposed method effectively assigns areas to regions with similar electricity system characteristics.
  • A spatial dataset for 30 European countries is presented and utilized for method application.

Conclusions:

  • Energy-related spatial data can be effectively used to define regions for energy system models.
  • The max-p regions method offers a viable approach to reduce spatial resolution in energy system modeling.
  • This methodology enhances the representation of regional energy dynamics in modeling frameworks.