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Smart Lighting Environments: Sensing and Control

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A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (15 January 2018) | Viewed by 20042

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Special Issue Editors

Prof. Dr. Antonio Liotta

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Guest Editor

1. Intelligent Lighting Institute, Technische Universiteit Eindhoven, Eindhoven, The Netherlands
2. Department of Electrical Engineering, Technische Universiteit Eindhoven, Eindhoven, The Netherlands
Interests: smart lighting; smart sensing; urban informatics; network science; internet of things; machine learning; cognitive networks; network efficiency; energy efficiency
Special Issues, Collections and Topics in MDPI journals

Dr. Tanir Ozcelebi

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Guest Editor

Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands
Interests: lifecycles of resource-constrained embedded networks; architectures for resource management; QoS management and data analytics; intelligent environments (smart spaces); Internet of Things (IoT); IoT intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As we step into the era of the Internet of Things (IoT), where devices communicate with other devices in order to support tasks of humans, ubiquitous interaction, as was envisioned by Mark Weiser, is becoming a reality. The concept of a smart space is used as a key phrase to refer to such personal interactions in a technologically-enhanced space with networked electronic devices producing and consuming information. Smartness, here, refers to a (collective) behavior of a large number of devices perceived as advanced and useful in some sense.

Smart space implementations that are specialized in a particular application domain are common in practice. Among various types of smart spaces that are available, Smart Lighting infrastructures have a unique position since lighting (and thus a dense lighting infrastructure) is omnipresent inside all buildings and in cities. As a smart space, Smart Lighting goes beyond the typical functionality of just providing sufficient illumination in the environment. The research in this field envisions a tradeoff between user control, sensing and intelligence, resulting in an interactive user experience with networked, context aware, personalized lighting services. This is a major paradigm shift that will potentially change the way we use lighting.

The goal of this Special Issue is to bring together members of the industrial and scientific communities that contribute to the development of Smart Lighting solutions and to provide an overview via knowledge exchange. This overview will provide further insights into the problems solved at this stage, a comparison of the various approaches used, and lessons learned. The topics of interest for contributions to this Special Issue include, but are not limited to:

Context detection and adaptation
Human perception and interaction with light
Energy efficient sensing and control
Network efficiency
Cognitive methods
Data mining methods
Modeling of users and environment
Smart lighting in building and cities
Smart lighting system architectures
Smart lighting applications, services, performance metrics
Internet of Things technologies and solutions for smart lighting

Prof. Dr. Antonio Liotta
Dr. Tanir Ozcelebi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

smart lighting
smart sensing
smart buildings
smart cities
urban informatics
Internet of things
energy efficiency
context detection
context adaptation

Published Papers (3 papers)

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Research

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4877 KiB

Open AccessFeature PaperArticle

The Energy Saving Potential of Occupancy-Based Lighting Control Strategies in Open-Plan Offices: The Influence of Occupancy Patterns

by Christel De Bakker, Tom Van de Voort and Alexander Rosemann

Energies 2018, 11(1), 2; https://doi.org/10.3390/en11010002 - 21 Dec 2017

Cited by 29 | Viewed by 6114

Abstract

Occupancy-based lighting control strategies have been proven to be effective in diminishing offices’ energy consumption. These strategies have typically worked by controlling lighting at the room level but, recently, lighting systems have begun to be equipped with sensors on a more fine-grained level, enabling lighting control at the desk level. For some office cases, however, the savings gained using this strategy may not outweigh the costs and design efforts compared to room control. This is because, in some offices, individual occupancy patterns are similar, hence the difference in savings between desk and room control would be minimal. This study examined the influence of occupancy pattern variance within an office space on the relative energy savings of control strategies with different control zone sizes. We applied stochastic modeling to estimate the occupancy patterns, as this method can account for uncertainty. To validate our model, simulation results were compared to earlier studies and real measurements, which demonstrated that our simulations provided realistic occupancy patterns. Next, office cases varying in both job-function type distribution and office policy were investigated on energy savings potential to determine the influence of occupancy pattern variance. The relative energy savings potential of the different control strategies differed minimally for the test cases, suggesting that variations in individual occupancy patterns negligibly influence energy savings. In all cases, lighting control at the desk level showed a significantly higher energy savings potential than strategies with lower control zone granularity, suggesting that it is useful to implement occupancy-based lighting at the desk level in all office cases. This strategy should, thus, receive more attention from both researchers and lighting designers. Full article

(This article belongs to the Special Issue Smart Lighting Environments: Sensing and Control)

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2471 KiB

Open AccessArticle

An Energy Efficient Lighting Design Strategy to Enhance Visual Comfort in Offices with Windows

by Mehdi Amirkhani, Veronica Garcia-Hansen, Gillian Isoardi and Alicia Allan

Energies 2017, 10(8), 1126; https://doi.org/10.3390/en10081126 - 01 Aug 2017

Cited by 13 | Viewed by 7059

Abstract

A high luminance contrast between windows and surrounding surfaces can increase the risk of discomfort glare, which can diminish office workers’ satisfaction and productivity. Accordingly, it can lead to occupant interventions, such as drawing window blinds or increasing electric light levels, which are intended to enhance indoor visual comfort but counterproductively act to increase energy consumption. Increasing the luminance of the areas surrounding the windows using a supplementary lighting system, such as wall-washing with light emitting diode (LED) linear luminaires, could reduce discomfort glare arising from windowed walls. This paper reports on the results of a study in a typical office room in Brisbane, Australia. The outcomes of this study indicate that creating a luminance contrast of between 11:1 and 12:1 on the window wall in an office room with a 45% window-to-exterior-wall ratio using a supplementary LED system leads to improved subjective assessments of window appearance. The results suggest that such an enhancement could significantly reduce discomfort glare from windows, as well as diminishing the likelihood of the users intending to turn on the ceiling lights or to move the blinds. Full article

(This article belongs to the Special Issue Smart Lighting Environments: Sensing and Control)

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Review

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2973 KiB

Open AccessReview

The Internet of Lights: An Open Reference Architecture and Implementation for Intelligent Solid State Lighting Systems

by Emi Mathews, Salih Serdar Guclu, Qingzhi Liu, Tanir Ozcelebi and Johan J. Lukkien

Energies 2017, 10(8), 1187; https://doi.org/10.3390/en10081187 - 11 Aug 2017

Cited by 14 | Viewed by 6139

Abstract

The Internet of Things (IoT) is opening up new services and is stimulating changes in industries. The lighting industry is also embracing this change by establishing an Internet of Lights (IoL). This article highlights the main benefits and the challenges to face while going towards IoL. To address these challenges and cater to the specific requirements of lighting networks, an IoL reference architecture, Open Architecture for Intelligent Solid State Lighting Systems (OpenAIS), has been proposed. This article provides an overview of the OpenAIS architecture and explains how one can design specific systems based on this architecture. It also zooms into the configurations and design choices made in a pilot system in a real office building showing the validity of the architecture. A comparison of the OpenAIS system with a state-of-the-art commercial solution shows that IoL systems can exceed proprietary systems in several key performance indicators, such as security, interoperability, extensibility and openness. Full article

(This article belongs to the Special Issue Smart Lighting Environments: Sensing and Control)

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