Assessing the energy use of occupancy-based lighting control strategies in open-plan offices: a simulation tool

C. de Bakker, Tom van de Voort, J. van Duijnhoven, A.L.P. Rosemann

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

Occupancy-based lighting control can be applied at
several resolution levels. To aid lighting designers in choosing the
appropriate solution for a specific open-plan office case, this paper
presents a simulation tool which enables calculating the lighting
energy use for the different control strategies. By using a stochastic
modelling approach and input parameters as users’ function type,
the office’s policy and special absences, the model could reflect the
actual occupancy behaviour in the office at hand. The results of
the model were validated with occupancy data from several studies
and found to be similar enough to conclude that the model can be
trusted and applied. A convergence analysis showed that 1000
iterations are required to produce these reliable results. This
paper discusses the development of the tool, its performance as
well as the deviations found between its output and measurements
on the average occupancy of the different occupancy types.
Further research on occupancy patterns of different job function
types would improve the model as well as extend its applicability.
Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017
EditorsAntonio Guerrieri, Giancarlo Fortino, Athanasios V. Vasilakos, MengChu Zhou, Zofia Lukszo, Carlos Palau, Antonio Liotta, Andrea Vinci, Francesco Basile, Maria Pia Fanti
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages476-481
Number of pages6
ISBN (Electronic)978-1-5090-4429-0
ISBN (Print)978-1-5090-4430-6
DOIs
Publication statusPublished - 16 May 2017
Event14th IEEE International Conference on Networking, Sensing and Control (ICNSC 2017) - Calabria, Italy
Duration: 16 May 201718 May 2017
Conference number: 14
http://icnsc2017.dimes.unical.it

Conference

Conference14th IEEE International Conference on Networking, Sensing and Control (ICNSC 2017)
Abbreviated titleICNSC 2017
CountryItaly
CityCalabria
Period16/05/1718/05/17
Internet address

Keywords

  • Convergence analysis
  • Energy consumption
  • Occupancy patterns
  • Occupancy spread
  • Stochastic modelling

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