Harmonic analysis of lighting technology application – case study in distribution network: smart city Buzios

This paper presents the evaluation of usersХ experiences in three intelligent lighting pilots in Finland. Two of the case studies are related to the use of intelligent lighting in different kinds of traffic areas, having emphasis on aspects of visibility, traffic and movement safety, and sense of security. The last case study presents a more complex view to the experience of intelligent lighting in smart city contexts. The evaluation methods, tailored to each pilot context, include questionnaires, an urban dashboard, in-situ interviews and observations, evaluation probes, and system data analyses. The applicability of the selected and tested methods is discussed reflecting the process and achieved results.

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A case study of distribution network reliability evaluation with parameter uncertainty

Electrical Engineering and Information Technology ◽

10.2495/ceeit140031 ◽

2014 ◽

Author(s):

Jianlin Yang ◽

Yijiang Wang ◽

Yingjun Wu ◽

Haibo Hu ◽

Shiyan Zuo

Keyword(s):

Parameter Uncertainty ◽

Network Reliability ◽

Distribution Network ◽

Reliability Evaluation

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Analysis of the System of Controlling Paid Parking Zones

Sustainability ◽

10.3390/su13084211 ◽

2021 ◽

Vol 13 (8) ◽

pp. 4211

Author(s):

Maciej Kozłowski ◽

Andrzej Czerepicki ◽

Piotr Jaskowski ◽

Kamil Aniszewski

Keyword(s):

Control System ◽

Smart City ◽

Measurement Errors ◽

Fundamental Problem ◽

Urban Traffic ◽

Statistical Dependence ◽

Actual State ◽

Event Time ◽

Operational Data

Urban traffic can be curbed in various ways, for instance, by introducing paid unguarded parking zones (PUPZ). The operational functionality of this system depends on whether or not the various system features used to document parking cases function properly, including those which enable positioning of vehicles parked in the PUPZ, recognition of plate numbers, event time recording, and the correct anonymisation of persons and other vehicles. The most fundamental problem of this system is its reliability, understood as the conformity of control results with the actual state of matters. This characteristic can be studied empirically, and this article addresses the methodology proposed for such an examination, discussed against a case study. The authors have analysed the statistical dependence of the e-control system’s measurement errors based on operational data. The results of this analysis confirm the rationale behind the deployment of the e-control system under the implementation of the smart city concept in Warsaw.

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A hybrid of six soft models based on ANFIS for pipe failure rate forecasting and uncertainty analysis: a case study of Gorgan city water distribution network

Soft Computing ◽

10.1007/s00500-021-05706-4 ◽

2021 ◽

Author(s):

Seyed Mehran Jafari ◽

Abdol Reza Zahiri ◽

Omid Bozorg Hadad ◽

Mahmoud Mohammad Rezapour Tabari

Keyword(s):

Uncertainty Analysis ◽

Failure Rate ◽

Water Distribution ◽

Distribution Network ◽

Water Distribution Network ◽

Pipe Failure ◽

City Water

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Challenges and Barriers for Net‐Zero/Positive Energy Buildings and Districts—Empirical Evidence from the Smart City Project SPARCS

Buildings ◽

10.3390/buildings11020078 ◽

2021 ◽

Vol 11 (2) ◽

pp. 78

Author(s):

Daria Uspenskaia ◽

Karl Specht ◽

Hendrik Kondziella ◽

Thomas Bruckner

Keyword(s):

Smart City ◽

Urban Areas ◽

Smart Cities ◽

Scale Up ◽

Practical Experience ◽

Positive Energy ◽

Low Carbon ◽

Net Zero ◽

Multidimensional Representation

Without decarbonizing cities energy and climate objectives cannot be achieved as cities account for approximately two thirds of energy consumption and emissions. This goal of decarbonizing cities has to be facilitated by promoting net-zero/positive energy buildings and districts and replicating them, driving cities towards sustainability goals. Many projects in smart cities demonstrate novel and groundbreaking low-carbon solutions in demonstration and lighthouse projects. However, as the historical, geographic, political, social and economic context of urban areas vary greatly, it is not always easy to repeat the solution in another city or even district. It is therefore important to look for the opportunities to scale up or repeat successful pilots. The purpose of this paper is to explore common trends in technologies and replication strategies for positive energy buildings or districts in smart city projects, based on the practical experience from a case study in Leipzig—one of the lighthouse cities in the project SPARCS. One of the key findings the paper has proven is the necessity of a profound replication modelling to deepen the understanding of upscaling processes. Three models analyzed in this article are able to provide a multidimensional representation of the solution to be replicated.

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