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Long-Term Evaluation of Comfort, Indoor Air Quality and Energy Performance in Buildings: The Case of the KTH Live-In Lab Testbeds
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Applied Thermodynamics and Refrigeration.ORCID iD: 0000-0003-4387-806x
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Applied Thermodynamics and Refrigeration.ORCID iD: 0000-0002-9120-8637
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Applied Thermodynamics and Refrigeration.ORCID iD: 0000-0002-2300-2581
2022 (English)In: Energies, E-ISSN 1996-1073, ISSN 1996-1073, Vol. 15, no 14, p. 4955-Article in journal (Refereed) Published
Abstract [en]

Digitalization offers new, unprecedented possibilities to increase the energy efficiencyand improve the indoor conditions in buildings in a cost-efficient way. Smart buildings are seen bymany stakeholders as the way forward. Smart buildings feature advanced monitoring and controlsystems that allow a better control of the buildings’ indoor spaces, but it is becoming evident that themassive amount of data produced in smart buildings is rarely used. This work presents a long-termevaluation of a smart building testbed for one year; the building features state-of-the-art monitoringcapability and local energy generation (PV). The analysis shows room for improving energy efficiencyand indoor comfort due to non-optimal control settings; for instance, average indoor temperaturesin all winter months were above 24 ◦C. The analysis of electricity and domestic hot water use hasshown a relevant spread in average use, with single users consuming approximately four times morethan the average users. The combination of CO2 and temperature sensor was sufficient to pinpointthe anomalous operation of windows in wintertime, which has an impact on energy use for spaceheating. Although the quantification of the impact of users on the overall energy performance ofthe building was beyond the scope of this paper, this study showcases that modern commercialmonitoring systems for buildings have the potential to identify anomalies. The evidence collectedin the paper suggests that this data could be used to promote energy-efficient behaviors amongbuilding occupants and shows that cost-effective actions could be carried out if data generated by themonitoring and control systems were used more extensively.

Place, publisher, year, edition, pages
MDPI AG , 2022. Vol. 15, no 14, p. 4955-
Keywords [en]
building energy performance; indoor environmental quality; monitoring system; building system control; smart building
National Category
Building Technologies Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-315447DOI: 10.3390/en15144955ISI: 000831565000001Scopus ID: 2-s2.0-85134022043OAI: oai:DiVA.org:kth-315447DiVA, id: diva2:1681639
Projects
Cost- and Energy-Efficient Control Systems for Buildings, E2B2 programmeCLAS—Cybersäkra lärande reglersystem, Swedish Foundation for Strategic Research-SSFHiSS—Humanizing the Sustainable Smart City, Digital Futures
Funder
Swedish Energy Agency, project number 47859-1Swedish Foundation for Strategic Research, RIT17-0046
Note

QC 20220728

Available from: 2022-07-07 Created: 2022-07-07 Last updated: 2023-08-28Bibliographically approved

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Rolando, DavideMazzotti, WillemMolinari, Marco

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