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Dynamic use-phase variability in iot-enabled systems : a simulation-based case study of smart thermostats

  • In this study, we demonstrate that static estimates are inadequate for characterizing the use-phase performance of IoT-enabled systems. We present a case study based on a simulation that evaluates the thermal behavior of a room over one year using real 2023 outdoor temperature data from Konstanz (Germany). The simulation integrates a conventional heating source with a smart thermostat that adjusts the heating based on occupancy and time of day preferences. By varying key parameters such as wall thickness and temperature setpoints, we reveal significant variations in predicted energy savings. The savings distributions are irregular, often fat-tailed or multi-modal. This shows the complexity of the use phase and the need for dynamic modeling when assessing the environmental impact of such systems.

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Metadaten
Author:Mohamed RamadaneORCiD, Doris BohnetORCiDGND
URL:https://www.scs-europe.net/dlib/2025/2025-0711.html
DOI:https://doi.org/10.7148/2025-0711
ISBN:978-3-937436-86-9
ISSN:2522-2422
Parent Title (English):Communications of the ECMS : Proceedings of the 39th ECMS International Conference on Modelling and Simulation, ECMS 2025 June 24th – June 27th, 2025, Catania, Italy
Volume:39
Publisher:Digitaldruck Pirrot GmbH
Place of publication:Saarbrücken-Dudweiler
Document Type:Conference Proceeding
Language:English
Year of Publication:2025
Contributing Corporation / Conference:European Council for Modelling and Simulation (39. : 2025 : Catania)
Release Date:2025/07/16
Tag:Use-Phase Variability; Smart Thermostats; Environmental Impact; IoT
Issue:1
First Page:711
Last Page:717
Institutes:Institut für Optische Systeme - IOS
DDC functional group:500 Naturwissenschaften und Mathematik
Open Access?:Ja
Relevance:Konferenzbeitrag: h5-Index < 30, Fachrepositorien ohne Preprints, nicht ICORE
Licence (German):License LogoUrheberrechtlich geschützt