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:
literature survey to map the state of the art of integrated lighting control
strategies, sensor technologies etc.
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.
the steps above, develop a prototype of an integrated artificial and daylight
control strategy with sensing, processing and actuating capability:
capability is enabled by a hardware device that can continuously measure
lighting quantity and quality.
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.
actuating capability is enabled by devices that control lighting quantity and
quality, which are artificial lighting and solar shading devices.
suggested integrated artificial and daylight control strategy on DTU Library
and consider how this performs regarding occupant satisfaction, comfort and
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