Title Smart readiness indicator (SRI) as a decision-making tool for low carbon buildings /
Authors Chatzikonstantinidis, Konstantinos ; Giama, Effrosyni ; Fokaides, Paris A ; Papadopoulos, Agis M
DOI 10.3390/en17061406
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Is Part of Energies.. Basel : MDPI. 2024, vol. 17, iss. 6, art. no. 1406, p. 1-23.. ISSN 1996-1073
Keywords [eng] climate change mitigation policies ; low-carbon economy ; circular economy ; energy technology plan ; smart readiness indicator ; smart buildings ; energy flexibility ; low carbon society ; IoT
Abstract [eng] According to the European Energy Efficiency Directive for Buildings, member states are required to develop long-term strategies to adopt more sustainable, secure, and decarbonized energy systems in buildings by 2050. In this line of approach, an optional common regime has been established to define and calculate the smart readiness of buildings and assess their ability to adapt their operation to the needs of the occupants and the network. Thus, the smart readiness indicator (SRI) emerged, which assesses technological readiness by examining the presence and evaluation of the functionality level of various smart services, aiming at energy savings, the ability of the building to respond to users’ needs, and energy flexibility. This paper focuses on examining the SRI calculation methodology’s application to an office building, which is currently being deeply renovated. Initially, there is an analysis of the SRI, its calculation methodology, and its goals. This is followed by the practical calculation part of the SRI for a typical office building located in Greece and belonging to the climate zone of southern Europe. The results indicate that the SRIs application is not a straightforward issue since parameters that need to be considered are not regulated to the same degree. On the other hand, SRI can provide a stimulus for exploiting the renovation potential of buildings, precisely by integrating the various aspects and linking those to the use of innovative technologies.
Published Basel : MDPI
Type Journal article
Language English
Publication date 2024
CC license CC license description