An energy-efficient controller for shading devices self-adapting to the user wishes

Guillemin, Antoine; Molteni, Simone

doi:10.1016/s0360-1323(01)00113-5

Cited by 71 publications

(31 citation statements)

References 5 publications

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“…Because, such a controller would progressively learn to adapt to building and environmental characteristics. However, from the literatures (Guillemin and Molteni 2002;Bauer et al 1996;Guillemin and Morel 2001), it is found that most of the researches have devoted the application of artificial intelligence and adaptive predictive techniques to window blind controllers to control heating, cooling, and occupant comfort. For the dimming control of artificial light, a photo-sensor based technology is still being used.…”

Section: Daylight Responsive Dimming Systemsmentioning

confidence: 98%

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Prospective techniques of effective daylight harvesting in commercial buildings by employing window glazing, dynamic shading devices and dimming control—a literature review

et al. 2008

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Over a few decades, daylighting has been perceived to possess good potential for energy conservation. In this perspective, there have been significant advances in research methodologies and technologies for optimizing energy consumption through daylight harvesting in commercial buildings. In light of this, a thorough understanding of the application of available technology is very important for daylighting practices for building energy management. The objective of this paper is to examine the status of published research on three key building parameters: window glazing area, dynamic shading devices, and daylighting controls playing a rule on energy conservation. This article may serve as a coherent literature survey that would provide better understanding of the subjacent issues and possibly rejuvenate research interest in this immensely potential field of energy engineering.

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Section: Daylight Responsive Dimming Systemsmentioning

confidence: 98%

“…The flexibility and intuitive use for constantly responding and adapting to dynamic variation in daylight are the chief reasons for regarding SCTs as superior over classical controllers (Dounis et al 1995;Lah et al 2006;Guillemin and Molteni 2002).…”

Section: Dynamic Window Shading Devicesmentioning

confidence: 98%

Prospective techniques of effective daylight harvesting in commercial buildings by employing window glazing, dynamic shading devices and dimming control—a literature review

et al. 2008

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“…Researchers were able to conclude that the ACA has potential to save up to 30% of the cooling load without compromising the perceived thermal comfort [28]. Another algorithm developed was the genetic algorithm (GA), which allowed for the study an automatic shading-device controller that learned the preferences of occupants regarding blind position and took into account the complex and unpredictable occupant behaviour on a long-term basis [29].…”

Section: Developed Algorithmsmentioning

confidence: 99%

Energy-Related Occupant Behaviour and Its Implications in Energy Use: A Chronological Review

2018

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Abstract:It is essential to understand how significantly occupants' actions impact the performance of a building, as a whole, in terms of energy use. Consequently, this paper reviews the available resources on energy-related occupant behaviour and its implications in energy use in a building. A chronological review on energy-related occupant behaviour and its implications in energy use has been conducted. As a main existing gap, it was identified by researchers the difference between real energy performance and the one that is predicted during the design stage of a building. The energy predicted during the design stage of a building may be over twice the energy used in the operation stage. Buildings are one of the most energy intensive features in a country. They are affected by the interaction and correlation of several different variables, such as: its physical characteristics, technical systems, equipment, occupants, etc. Therefore, buildings are considered to be complex systems that require a careful and intensive analysis. Moreover, one of the key variables impacting real building energy use is occupant behaviour. The way occupants behave and their motivations are some of the main aspects that need to be considered in a building life-cycle.

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“…Kim and Park [4] used EnergyPlus as a modelbased predictor for optimal slat angles within a 24 hr time horizon, with high computational effort. Thorough work on blind controllers with multi-objective optimization processes [5][6] provide promising solutions. Very few studies directly associated glare indices with shading controls.…”

Section: Introductionmentioning

confidence: 99%

Model-based shading and lighting controls considering visual comfort and energy use

Xiong

Tzempelikos

2016

Solar Energy

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Dynamic facades with high performance glazing and automated shading have the potential to balance daylighting, comfort and energy use, when integrated with lighting and thermal control systems. This paper presents the development and implementation of a model-based control algorithm for automated shading and lighting operation, aiming at minimizing energy use while reducing the risk of glare. A detailed validated lighting-glare model is used to compute real-time interior lighting conditions, lighting energy use and DGP, based on the readings of two sensors on every building facade. The model-based operation ensures optimal shade position and light dimming levels that minimize energy use while satisfying glare constraints at each time step. The developed algorithm is demonstrated in a full-scale office space, controlling shades and electric lighting in real-time, using simple sensor readings as inputs. Finally, a comparison between control strategies and control intervals is discussed.

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An energy-efficient controller for shading devices self-adapting to the user wishes

Cited by 71 publications

References 5 publications

Prospective techniques of effective daylight harvesting in commercial buildings by employing window glazing, dynamic shading devices and dimming control—a literature review

Prospective techniques of effective daylight harvesting in commercial buildings by employing window glazing, dynamic shading devices and dimming control—a literature review

Energy-Related Occupant Behaviour and Its Implications in Energy Use: A Chronological Review

Model-based shading and lighting controls considering visual comfort and energy use

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