EconPapers    
Economics at your fingertips  
 

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

Heiko Waurisch (waurisch@fh-westkueste.de), Nick von Bargen, Nico Ploczicki, Bente Ralfs, Berit Elsner, Reiner Schütt and Nassipkul Dyussembekova
Additional contact information
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

Energies, 2024, vol. 17, issue 7, 1-19

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.

Keywords: key performance indicator (KPI); KPIs in the energy sector; grid supportability; system supportability; energy systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/7/1534/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/7/1534/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:7:p:1534-:d:1362387

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager (indexing@mdpi.com).

 
Page updated 2024-12-28
Handle: RePEc:gam:jeners:v:17:y:2024:i:7:p:1534-:d:1362387