Comprehensive Assessment of Context-Adaptive Street Lighting: Technical Aspects, Economic Insights, and Measurements from Large-Scale, Long-Term Implementations

Author:

Pasolini Gianni12ORCID,Toppan Paolo3,Toppan Andrea3,Bandiera Rudy3,Mirabella Mirko4,Zabini Flavio12ORCID,Bonata Diego5,Andrisano Oreste12ORCID

Affiliation:

1. Department of Electrical, Electronic and Information Engineering “G. Marconi”, University of Bologna, 40126 Bologna, Italy

2. Wireless Communications Laboratory (WiLab) of the National Inter-University Consortium for Telecommunications (CNIT), 40133 Bologna, Italy

3. Wi4B s.r.l., 40127 Bologna, Italy

4. Department of Architecture, University of Bologna, 40126 Bologna, Italy

5. AstroLight Studio, 24053 Brignano Gera d’Adda, Italy

Abstract

This paper addresses the growing importance of efficient street lighting management, driven by rising electricity costs and the need for municipalities to implement cost-effective solutions. Central to this study is the UNI 11248 Italian regulation, which extends the European EN 13201-1 standard introduced in 2016. These standards provide guidelines for designing, installing, operating, and maintaining lighting systems in pedestrian and vehicular traffic areas. Specifically, the UNI 11248 standard introduces the possibility to dynamically adjust light intensity through two alternative operating modes: (a) Traffic Adaptive Installation (TAI), which dims the light based solely on real-time traffic flow measurements; and (b) Full Adaptive Installation (FAI), which, in addition to traffic measurements, also requires evaluating road surface luminance and meteorological conditions. In this paper, we first present the general architecture and operation of an FAI-enabled lighting infrastructure, which relies on environmental sensors and a heterogeneous wireless communication network to connect intelligent, remotely controlled streetlights. Subsequently, we examine large-scale, in-field FAI infrastructures deployed in Vietnam and Italy as case studies, providing substantial measurement data. The paper offers insights into the measured energy consumption of these infrastructures, comparing them to that of conventional light-control strategies used in traditional installations. The measurements demonstrate the superiority of FAI as the most efficient solution.

Publisher

MDPI AG

Reference86 articles.

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2. Copenhagen Centre on Energy Efficiency (2024, July 26). Public Lighting Toolbox for Municipal Energy Efficiency Implementation. Available online: https://c2e2.unepccc.org/collection/public-lighting-toolbox-for-municipal-energy-efficiency-implementation/.

3. Cacciatore, G., Fiandrino, C., Kliazovich, D., Granelli, F., and Bouvry, P. (2017, January 21–25). Cost analysis of smart lighting solutions for smart cities. Proceedings of the 2017 IEEE International Conference on Communications (ICC), Paris, France.

4. Ortiz, J.H. (2012). A Testbed About Priority-Based Dynamic Connection Profiles in QoS Wireless Multimedia Networks. Telecommunications Networks, IntechOpen. Chapter 4.

5. Pasolini, G., Toppan, P., Zabini, F., De Castro, C., and Andrisano, O. (2019). Design, Deployment and Evolution of Heterogeneous Smart Public Lighting Systems. Appl. Sci., 9.

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