A simulation-based study for implementation of an integrated artificial and daylight control strategy on DTU library office area




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The rate of IoT (Internet of Things) or smart technologies in buildings are expected to increase from 1,500 million devices in 2018 to 3,600 million devices in 2021. Devices range from sensors and meters to tracking devices, elevators, alarming systems, HVAC units and components; these devices can monitor performance and provide insight on their operation, surroundings or provide feedback in control strategies. These technologies can have the potential of improving buildings regarding energy-efficiency and to create higher user satisfaction, comfort and security. As lighting technology has advanced from fluorescent light sources to LEDs, the ability to control and optimize the lighting regarding energy-efficiency has changed from inefficient use of lighting, to adaptive control strategies integrating dimming and daylighting for energy savings to new smart adaptive controls suited for LEDs with embedded hardware and internet connection, with the intension of improving user-experience, comfort and quality.  Daylight and lighting quality can relate visual benefits as well as non-visual effects related to photoreceptors in the eye, which regulates the hormone levels controlling the circadian rhythm. To understand the potential of these smart technologies in appropriate (day) lighting control strategies, this project looks deeper into the aspect of daylight and artificial lighting in office buildings regarding energy-efficiency and visual comfort.

Research objective: The success criterion of this project is to be able to develop and implement a prototype of an integrated artificial and daylight control strategy by considering energy-efficiency and visual comfort.The following objective steps have to be considered:

1)      Perform a literature survey to map the state of the art of integrated lighting control strategies, sensor technologies etc.

2)     Define an integrated artificial and daylight control strategy that can be deployed on DTU Library office area for reliable and high-resolution continues measurement of lighting quantity (illuminance and luminance) and quality (glare and color temperature). The control strategy should be defined with the human aspect in mind and with consideration to energy-efficiency.

3)     Based on the steps above, develop a prototype of an integrated artificial and daylight control strategy with sensing, processing and actuating capability:

o   The sensing capability is enabled by a hardware device that can continuously measure lighting quantity and quality.

o   The processing capability is enabled by algorithms that apply measurement to calculate control actions, which are used to control artificial lighting level and solar shading devices.

o   The actuating capability is enabled by devices that control lighting quantity and quality, which are artificial lighting and solar shading devices.     

4)  Implement the suggested integrated artificial and daylight control strategy on DTU Library and consider how this performs regarding occupant satisfaction, comfort and energy-efficiency.

Prerequisites and requirements: Knowledge about: Buildings, building science and indoor environmental quality. Interest in: Artificial lighting design, daylight, programming (coding and mathematics in e.g. Matlab) and hardware development (e.g. development-kits Arduino and Raspberry-Pi).

Required level: Bachelor’s degree, good English language skills.

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DTU er et teknisk eliteuniversitet med international rækkevidde og standard. Vores mission er at udvikle og nyttiggøre naturvidenskab og teknisk videnskab til gavn for samfundet. 10.000 studerende uddanner sig her til fremtiden, og 5.700 medarbejdere har hver dag fokus på uddannelse, forskning, myndighedsrådgivning og innovation, som bidrager til øget vækst og velfærd.

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