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A Generic Framework for the Definition of Key Performance Indicators for Smart Energy Systems at Different Scales
Institute of Electric Power Systems, University of Applied Sciences and Arts Northwestern Switzerland, (FHNW), Klosterzelgstrasse 2, CH-5210 Windisch, Switzerland.
Institute of Computer Technology, TU Wien, Gusshaus Str. 27-29/e384, AT-1040 Vienna, Austria.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0003-0075-1608
Institute of Electric Power Systems, University of Applied Sciences and Arts Northwestern Switzerland, (FHNW), Klosterzelgstrasse 2, CH-5210 Windisch, Switzerland.
Vise andre og tillknytning
2022 (engelsk)Inngår i: Energies, E-ISSN 1996-1073, Vol. 15, nr 4, artikkel-id 1289Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The growing integration of intermittent renewable energy sources (RESs) and the increasing trend of shutting down fossil-fuel-based power plants has brought about the need for additional flexibility in energy systems. This flexibility can be provided in various forms, including controllable generation and consumption, storage, conversions, and exchanges with interconnected systems. In this context, an increasing focus is placed on the development of smart energy systems (SESs) that combine different types of distributed energy resources (DERs), information and communication technologies (ICTs), demand side management (DSM), and energy conversion technologies. The utilization of SESs can lead to multiple benefits for the stakeholders involved; therefore, the assessment of their performance is a primary concern. Due to their multidisciplinary nature, there are no known or universally accepted standards for assessing the performance of SESs. Previous efforts only define key performance indicators (KPIs) for individual homogeneous subsystems, focusing on a specific SES type and application area. This paper focuses on the development of a novel comprehensive KPI framework that can be applied to any type of SES, regardless of the application area. The proposed framework consists of four layers that specify the application area, the main SES requirements, and the involved stakeholders’ objectives. Next, the KPIs are identified for each of the stakeholders’ objectives. The proposed KPI framework is applied to the use case of a European research project with different application areas, to demonstrate its features. Finally, a repository of KPIs is identified for each use case with respect to the aforementioned SES requirements.

sted, utgiver, år, opplag, sider
MDPI, 2022. Vol. 15, nr 4, artikkel-id 1289
Emneord [en]
application area, KPI framework, region, SES requirements, stakeholder objectives
HSV kategori
Forskningsprogram
Kommunikations- och beräkningssystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-89215DOI: 10.3390/en15041289ISI: 000778147800001Scopus ID: 2-s2.0-85124624944OAI: oai:DiVA.org:ltu-89215DiVA, id: diva2:1636857
Forskningsfinansiär
EU, Horizon 2020, 775970
Merknad

Validerad;2022;Nivå 2;2022-02-23 (hanlid);

Funder: ERA-Net Smart Energy Systems; Swiss Federal Office of Energy (SFOE)

Tilgjengelig fra: 2022-02-11 Laget: 2022-02-11 Sist oppdatert: 2025-10-21bibliografisk kontrollert

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Yang, Chen-Wei

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