<div class="csl-bib-body">
<div class="csl-entry">Efkarpidis, N., Goranovic, A., Yang, C.-W., Geidl, M., Herbst, I., Wilker, S., & Sauter, T. (2022). A Generic Framework for the Definition of Key Performance Indicators for Smart Energy Systems at Different Scales. <i>Energies</i>, <i>15</i>(4), 1–30. https://doi.org/10.3390/en15041289</div>
</div>
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dc.identifier.issn
1996-1073
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/139470
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dc.description.abstract
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.
en
dc.description.sponsorship
European Commission
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dc.language.iso
en
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dc.publisher
MDPI
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dc.relation.ispartof
Energies
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dc.subject
application area
en
dc.subject
KPI framework
en
dc.subject
region
en
dc.subject
SES requirements
en
dc.subject
stakeholder objectives
en
dc.title
A Generic Framework for the Definition of Key Performance Indicators for Smart Energy Systems at Different Scales
en
dc.type
Article
en
dc.type
Artikel
de
dc.contributor.affiliation
University of Applied Sciences and Arts Northwestern Switzerland, Switzerland
-
dc.contributor.affiliation
Luleå University of Technology, Sweden
-
dc.contributor.affiliation
University of Applied Sciences and Arts Northwestern Switzerland, Switzerland
-
dc.contributor.affiliation
Siemens (Switzerland), Switzerland
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dc.description.startpage
1
-
dc.description.endpage
30
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dc.relation.grantno
872282
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dcterms.dateSubmitted
2022-01-17
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dc.rights.holder
MDPI / Oppen Access
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dc.type.category
Original Research Article
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tuw.container.volume
15
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tuw.container.issue
4
-
tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
wb.publication.intCoWork
International Co-publication
-
tuw.project.title
Service Optimization of Novel Distributed Energy Regions
-
tuw.researchTopic.id
I4a
-
tuw.researchTopic.id
E3
-
tuw.researchTopic.name
Information Systems Engineering
-
tuw.researchTopic.name
Climate Neutral, Renewable and Conventional Energy Supply Systems
-
tuw.researchTopic.value
50
-
tuw.researchTopic.value
50
-
dcterms.isPartOf.title
Energies
-
tuw.publication.orgunit
E384-01 - Forschungsbereich Software-intensive Systems
-
tuw.publisher.doi
10.3390/en15041289
-
dc.date.onlinefirst
2022-02-10
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dc.identifier.eissn
1996-1073
-
dc.description.numberOfPages
30
-
tuw.author.orcid
0000-0001-8487-6824
-
tuw.author.orcid
0000-0003-0075-1608
-
tuw.author.orcid
0000-0002-9873-0751
-
wb.sci
true
-
wb.sciencebranch
Elektrotechnik, Elektronik, Informationstechnik
-
wb.sciencebranch.oefos
2020
-
wb.sciencebranch.value
100
-
item.grantfulltext
none
-
item.cerifentitytype
Publications
-
item.fulltext
no Fulltext
-
item.openairetype
research article
-
item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
-
item.languageiso639-1
en
-
crisitem.author.dept
FHNW University of Applied Sciences and Arts
-
crisitem.author.dept
E384-01 - Forschungsbereich Software-intensive Systems
-
crisitem.author.dept
Luleå University of Technology
-
crisitem.author.dept
FHNW University of Applied Sciences and Arts
-
crisitem.author.dept
Siemens (Switzerland)
-
crisitem.author.dept
E384-01 - Forschungsbereich Software-intensive Systems
-
crisitem.author.dept
E384 - Institut für Computertechnik
-
crisitem.author.orcid
0000-0001-8487-6824
-
crisitem.author.orcid
0000-0002-9873-0751
-
crisitem.author.orcid
0000-0003-1559-8394
-
crisitem.author.parentorg
E384 - Institut für Computertechnik
-
crisitem.author.parentorg
E384 - Institut für Computertechnik
-
crisitem.author.parentorg
E350 - Fakultät für Elektrotechnik und Informationstechnik