Occupancy-based adaptive dimmable lighting energy management scheme combined with cyber physical system

Changmin Lee, Duckhee Lee, Jaiyong Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Research is continuing to increase the efficiency of energy used by buildings due to environmental problems such as greenhouse effect. The need for minimizing the energy used by the lighting is becoming more and more important because lighting energy is responsible for a large portion of the energy used by buildings. In addition, a method of applying a Cyber Physical System(CPS) to existing buildings is being studied in order to efficiently maintain the buildings. In this paper, we utilize the CPS infrastructure to be built in a building to optimize the energy of the lighting used by the building. We propose a Self-error correction Occupancy Counting Algorithm(SOCA) by applying a self-error correction algorithm to the existing occupancy measurement algorithm in order to measure the occupancy of accurate buildings by utilizing the building IoT(Internet of Things) infrastructure called CPS. In addition, we propose an Adaptive Dimmable Lighting Energy Management Scheme(ADLS) to maximize the user's satisfaction and to optimize the lighting energy of the building by using the accurately measured occupancy. We applied the proposed algorithms to the space to evaluate the energy conservation performance of buildings. As a result of applying it to various spaces, energy saving performance up to 70% was obtained. The effectiveness of the proposed algorithm is evaluated by modeling several spaces and simulating the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publication32nd International Conference on Information Networking, ICOIN 2018
PublisherIEEE Computer Society
Pages605-610
Number of pages6
ISBN (Electronic)9781538622896
DOIs
Publication statusPublished - 2018 Apr 19
Event32nd International Conference on Information Networking, ICOIN 2018 - Chiang Mai, Thailand
Duration: 2018 Jan 102018 Jan 12

Publication series

NameInternational Conference on Information Networking
Volume2018-January
ISSN (Print)1976-7684

Conference

Conference32nd International Conference on Information Networking, ICOIN 2018
CountryThailand
CityChiang Mai
Period18/1/1018/1/12

Bibliographical note

Funding Information:
This work was supported by the ICT R&D program of MSIP/IITP [B0101-16-1276, Access Network Control Techniques for Various IoT Services] and NST [CRC-16-02-KICT, Integrated CPS for disaster / disaster response to high-rise and complex facilities based on open platforms]

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

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