Die Bedeutung von Nutzerzentrierung in automatisierten Beleuchtungssystemen

Hammes, Sascha; Weninger, Johannes; Canazei, Markus; Pfluger, Rainer; Pohl, W

doi:10.1002/bapi.202000010

Cited by 6 publications

(3 citation statements)

References 37 publications

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“…The walls consist of approximately 30 cm thick reinforced concrete. Details of the lighting and control concept of the study object are described in the studies [4] and [8] . The core working hours in this office building are Monday to Thursday from 09:00-12:00 and 14:00-17:00 and Fridays from 09:00-12:00.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“…For the minimum and maximum values, the first detection is listed (multiple values possible). Daytime period: 06:00-20:00, nighttime period 20:00-06:00, based on the period of typical space use of the study object (see [4] ). Month Temperature, inside (averaged over all sensors) Relative humidity, inside (averaged over all sensors) Temperature, outside Jan. Min: 19.75°C, Jan 24, 2021 05:22 Max: 26.75°C, Jan 30, 2022 15:45 Avg.…”

Section: Data Descriptionmentioning

confidence: 99%

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Measurement data on the window opening behavior and climate in a strongly daylit office building

Hammes

Weninger

2023

Data in Brief

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Section: Data Descriptionmentioning

confidence: 99%

Measurement data on the window opening behavior and climate in a strongly daylit office building

Hammes

Weninger

2023

Data in Brief

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“…Consequently, there has been a surge in research and development efforts aimed at improving the interplay between architectural design, lighting systems, and control strategies. Until now, many studies have investigated the individual merits of daylight harvesting and advanced artificial lighting control [4][5][6][7], but a comprehensive exploration of their integration and the status of this integration within the BIM planning process is a subject of growing interest and relevance.…”

Section: Introduction 1the Aspect Of Integral Control Strategiesmentioning

confidence: 99%

Integrating Digital Twins with BIM for Enhanced Building Control Strategies: A Systematic Literature Review Focusing on Daylight and Artificial Lighting Systems

Hauer,

Hammes,

Zech

et al. 2024

Buildings

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In the architecture, engineering, and construction industries, the integration of Building Information Modeling (BIM) has become instrumental in shaping the design and commissioning of smart buildings. At the center of this development is the pursuit of more intelligent, efficient, and sustainable built environments. The emergence of smart buildings equipped with advanced sensor networks and automation systems increasingly requires the implementation of Digital Twins (DT) for the direct coupling of BIM methods for integral building planning, commissioning, and operational monitoring. While simulation tools and methods exist in the design phase of developing advanced controls, their mapping to construction or post-construction models is less well developed. Through systematic, keyword-based literature research on publisher-independent databases, this review paper gives a comprehensive overview of the state of the research on BIM integration of building control systems with a primary focus on combined controls for daylight and artificial lighting systems. The review, supported by a bibliometric literature analysis, highlights major development fields in HVAC controls, failure detection, and fire-detection systems, while the integration of daylight and artificial lighting controls in Digital Twins is still at an early stage of development. In addition to already existing reviews in the context of BIM and Digital planning methods, this review particularly intends to build the necessary knowledge base to further motivate research activities to integrate simulation-based control methods in the BIM planning process and to further close the gap between planning, implementation, and commissioning.

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Reduzierung des Kunstlichteinsatzes durch Anpassung der Nachlaufzeit an individuelle Anwesenheitsmuster

et al. 2021

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Gegenwärtig sind präsenzgesteuerte Beleuchtungssysteme meist an konstante und relativ lange Ausschaltverzögerungen gekoppelt, um die Systemakzeptanz gegenüber fehlerhafter Abwesenheitsdetektion sicherzustellen. Die dabei zur Anwendung kommenden, generalisierten und für alle Arbeitsplätze und Gebäudenutzenden gleichen Abschaltzeiten werden meist bereits vor der Erstinbetriebnahme entschieden. Eine Berücksichtigung von Nutzerindividualitäten, welche durch Tätigkeitsprofil und Unternehmenskultur maßgeblich beeinflusst werden, bleibt dabei außen vor. Dabei nehmen Nutzerindividualitäten eine entscheidende Rolle bei der Umsetzung von Konzepten ein, die die energetische Systemperformanz steigern. Die im Folgenden vorgestellte Studie untersucht daher auf Basis von Belegungsdaten die Auswirkungen des Verhaltens von Gebäudenutzenden auf den Energiebedarf. Die identifizierten Anwesenheitsmuster dienen dazu, die Beleuchtungssteuerung auf individueller Ebene zuzuschneiden. Die Ergebnisse führen auf, dass eine signifikante Reduktion der Ausschaltverzögerung und des damit verbundenen Energiebedarfs ohne negative Auswirkungen auf Systemakzeptanzraten oder Nutzerkomfort möglich ist. Eine hohe räumliche Sensorauflösung erweist sich dabei jedoch als Ausgleich zu potenziell erhöhten Falsch‐Aus‐Raten als erforderlich. In diesem Zusammenhang wird die Bedeutung der Sensorpositionierung und ‐anzahl herausgestellt.

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Die Bedeutung von Nutzerzentrierung in automatisierten Beleuchtungssystemen

Cited by 6 publications

References 37 publications

Measurement data on the window opening behavior and climate in a strongly daylit office building

Measurement data on the window opening behavior and climate in a strongly daylit office building

Integrating Digital Twins with BIM for Enhanced Building Control Strategies: A Systematic Literature Review Focusing on Daylight and Artificial Lighting Systems

Reduzierung des Kunstlichteinsatzes durch Anpassung der Nachlaufzeit an individuelle Anwesenheitsmuster

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