Contribution to a conference proceedings/Contribution to a book FZJ-2021-04383

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Data-driven occupant-centric rules of automated shade adjustments: Luxembourg case study

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2021

Carbon-neutral cities - energy efficiency and renewables in the digital era, CISBAT 2021, EPFL LausanneEPFL Lausanne, Switzerland, 8 Sep 2021 - 10 Sep 20212021-09-082021-09-10 Journal of Physics: Conference Series 2042(1), 1-6 () [10.1088/1742-6596/2042/1/012126]

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Abstract: This study presents key findings of observed datasets in a nearly zero-energy office building for over 66 working days from June to mid-September in 2019, Luxembourg. Measurements of indoor and outdoor environmental parameters as well as user-shade override adjustments were extracted from the KNX-based building management system (BMS) in 47 office rooms located in three typical floor levels. Relative frequency and "rate of change" of blind use were analysed in terms of window orientation, occupancy level, and the time of the day. Logistic regression and data mining techniques were used to identify potentially useful and understandable occupant behaviour patterns and reveal the main triggers behind blind adjustments. The well-designed automation system together with the inner glare protection formed the base of very low user-shade interactions. A mean of 0.184 manual blind adjustments per day per office. Eight regression sub-models were developed and all were incapable of predicting user-shade lowering and raising events. Alternatively, two user profiles were mined based on 20 rules gained from clustering analysis: user (ß) was representing the passive user, and user (μ) the medium user. Overall, we conclude that the automated shading system in this building is satisfactory, user-friendly, and a robust control system.


Contributing Institute(s):
  1. Zivile Sicherheitsforschung (IAS-7)
Research Program(s):
  1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
  2. Pilotprojekt zur Entwicklung eines palästinensisch-deutschen Forschungs- und Promotionsprogramms 'Palestinian-German Science Bridge' (01DH16027) (01DH16027)

Appears in the scientific report 2021
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Creative Commons Attribution CC BY 3.0 ; OpenAccess
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Dokumenttypen > Ereignisse > Beiträge zu Proceedings
Dokumenttypen > Bücher > Buchbeitrag
Institutssammlungen > IAS > IAS-7
Workflowsammlungen > Öffentliche Einträge
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 Datensatz erzeugt am 2021-11-21, letzte Änderung am 2022-05-02


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