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Charlotte Goovaerts

Charlotte Goovaerts

Ir. arch. Charlotte Goovaerts is a PhD researcher at the Department of Architectural Engineering of the Vrije Universiteit Brussel (VUB). She obtained the degree of “Master of Sciences in Architectural Engineering” at the VUB in 2013. She started her research under the supervision of prof. dr. ir. arch Filip Descamps in August 2013. She has worked on the European project Smartblind for two years, until September 2015. Her research focuses on the development of a control system to optimize the individual visual comfort and at the same time reduce (within the comfort limits) the energy consumption for heating, cooling and the electricity use for artificial lighting.

Projects

PhD research

Strategy for visual comfort control - through HDR luminance mapping by a low-cost controller system

Date2013 - 2018
SupervisorsFilip Descamps and Valry Ann Jacobs

Daylighting in offices creates a comfortable and healthy working environment for its users. Additionally, it can decrease the electricity consumption for artificial lighting. However, maximizing the amount of daylight can cause some issues. In Northern European climates, visual discomfort is the most negative side effect from windows. Also, excessive short-wave directly-transmitted solar radiation and long-wave indirectly-transmitted energy can cause thermal discomfort and an increased energy demand for cooling. To counterbalance these problems, designers implement shading systems, which control the transmitted solar and visual radiation. Different control strategies exist, but researchers evaluate their performance merely by checking the impact on the energy need, without considering the visual comfort of the user. Furthermore, the acceptance and satisfaction of the user regarding these strategies remains quite low.

Therefore, we developed a control strategy that is based on the comfort requirements of the users. The control strategy aims at avoiding visual discomfort for the user, while optimizing for daylight availability and improving user satisfaction. This is the first study where a shading device is controlled by a controller system with a low-resolution camera. The controller system captures luminance maps and evaluates a visual comfort parameter, namely the ’Daylight Glare Probability’. The system controls the actuator of the shading device based on the assessed level of comfort. The user can override the automated control and the controller system will adapt itself to the preferred user set-point.

This thesis uses numerical simulations of an indoor environment to check the performance of the control strategy in terms of the impact on the energy consumption and the visual and thermal comfort. Next, the thesis demonstrates two experimental case studies where the low-cost controller system and the control strategy are implemented. The controller system keeps the discomfort glare below the predefined limit and reduces the cooling demand, while sufficient daylight can still enter the office room.