IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i7p1534-d1362387.html
   My bibliography  Save this article

Assessment of Grid and System Supportability Based on Spatio-Temporal Conditions—Novel Key Performance Indicators for Energy System Evaluation

Author

Listed:
  • Heiko Waurisch

    (Institute for the Transformation of the Energy System (ITE), Fachhochschule Westküste—University of Applied Sciences, Markt 18, D-25746 Heide, Germany)

  • Nick von Bargen

    (Institute for the Transformation of the Energy System (ITE), Fachhochschule Westküste—University of Applied Sciences, Markt 18, D-25746 Heide, Germany)

  • Nico Ploczicki

    (Institute for the Transformation of the Energy System (ITE), Fachhochschule Westküste—University of Applied Sciences, Markt 18, D-25746 Heide, Germany)

  • Bente Ralfs

    (Institute for the Transformation of the Energy System (ITE), Fachhochschule Westküste—University of Applied Sciences, Markt 18, D-25746 Heide, Germany)

  • Berit Elsner

    (Institute for the Transformation of the Energy System (ITE), Fachhochschule Westküste—University of Applied Sciences, Markt 18, D-25746 Heide, Germany)

  • Reiner Schütt

    (Institute for the Transformation of the Energy System (ITE), Fachhochschule Westküste—University of Applied Sciences, Markt 18, D-25746 Heide, Germany)

  • Nassipkul Dyussembekova

    (Institute for the Transformation of the Energy System (ITE), Fachhochschule Westküste—University of Applied Sciences, Markt 18, D-25746 Heide, Germany)

Abstract

The energy transition introduces new technical standards, laws and regulations regarding the stability and reliability of energy grids and systems. Due to the non-existence of a measuring standard, key performance indicators (KPIs) were developed to enable the measurement and comparison of individual energy grid (namely electricity, heat and gas grid) and system supportabilities while also promoting well-founded decision-making and optimization efforts. Inconsistencies in definitions concerning fundamental energy terms and the correlations between them inhibit the effective usage of the KPIs. Therefore, the overarching issue of the security of energy supply and its related subjects were also approached. The primary subject of this paper is the development of two new KPIs to measure and compare the energy grid and system supportability. These KPIs are based on spatio-temporal conditions in their respective grids. The usage and benefits of the developed KPIs are exemplarily highlighted by analyzing the impact of a scenario with the integration of a large-scale heat pump into the electricity and heat grid. The energy grid supportability is determined for each grid, whereas the energy system supportability takes the interactions of the electricity and heat grid into account. The developed KPIs are intended to enable stakeholders to identify areas with optimization potential in energy grids and systems. Moreover, the KPIs can be used to create a standardized evaluation method for regulatory requirements.

Suggested Citation

  • Heiko Waurisch & Nick von Bargen & Nico Ploczicki & Bente Ralfs & Berit Elsner & Reiner Schütt & Nassipkul Dyussembekova, 2024. "Assessment of Grid and System Supportability Based on Spatio-Temporal Conditions—Novel Key Performance Indicators for Energy System Evaluation," Energies, MDPI, vol. 17(7), pages 1-19, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:7:p:1534-:d:1362387
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/7/1534/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/7/1534/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nikolaos Efkarpidis & Andrija Goranović & Chen-Wei Yang & Martin Geidl & Ingo Herbst & Stefan Wilker & Thilo Sauter, 2022. "A Generic Framework for the Definition of Key Performance Indicators for Smart Energy Systems at Different Scales," Energies, MDPI, vol. 15(4), pages 1-30, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eleonora Desogus & Ettore Bompard & Daniele Grosso, 2024. "A Composite Index for Tracking the Evolution towards Energy Transition at Urban Scale: The Turin Case Study," Energies, MDPI, vol. 17(6), pages 1-20, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:7:p:1534-:d:1362387. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.