A review of energy efficiency label of street lighting systems

Gutierrez-Escolar, Alberto; Castillo-Martinez, Ana; Pulido, José Manuel Gómez; Gutierrez-Martinez, Jose-Maria; González-Seco, Esteban Patricio Domínguez; Stapić, Zlatko

doi:10.1007/s12053-016-9454-7

Cited by 18 publications

(9 citation statements)

References 28 publications

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“…The main difference between the proposals was the number of parameters evaluated. However, the current evaluation system evaluates only one parameter (energy efficiency index), and the study's proposals recommend five parameters: lamps, energy efficiency index, light pollution, renewable energy contribution, and light dimming [64].…”

Section: Discussionmentioning

confidence: 99%

Classifying the Level of Energy-Environmental Efficiency Rating of Brazilian Ethanol

et al. 2020

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The present study aimed to assess and classify energy-environmental efficiency levels to reduce greenhouse gas emissions in the production, commercialization, and use of biofuels certified by the Brazilian National Biofuel Policy (RenovaBio). The parameters of the level of energy-environmental efficiency were standardized and categorized according to the Energy-Environmental Efficiency Rating (E-EER). The rating scale varied between lower efficiency (D) and high efficiency + (highest efficiency A+). The classification method with the J48 decision tree and naive Bayes algorithms was used to predict the models. The classification of the E-EER scores using a decision tree using the J48 algorithm and Bayesian classifiers using the naive Bayes algorithm produced decision tree models efficient at estimating the efficiency level of Brazilian ethanol producers and importers certified by the RenovaBio. The rules generated by the models can assess the level classes (efficiency scores) according to the scale discretized into high efficiency (Classification A), average efficiency (Classification B), and standard efficiency (Classification C). These results might generate an ethanol energy-environmental efficiency label for the end consumers and resellers of the product, to assist in making a purchase decision concerning its performance. The best classification model was naive Bayes, compared to the J48 decision tree. The classification of the Energy Efficiency Note levels using the naive Bayes algorithm produced a model capable of estimating the efficiency level of Brazilian ethanol to create labels.The production of biofuel from sugarcane is supported by the National Agency of Petroleum, Natural Gas and Biofuels' (ANP) sustainable development programs to achieve goals to reduce greenhouse gas emissions. Therefore, annual national targets were developed by the Brazilian National Biofuel Policy (RenovaBio) [12,15]. These goals are established in units of Decarbonization Credits (CBios) calculated from annual mandatory targets defined individually for each producer and distributor according to their participation in the fossil fuel market [12,16,[18][19][20][21].The certification of biofuel production assigns different marks to each biofuel producer and importer, in a value inversely related to the carbon amount of biofuel produced. The note reflects the individual contribution of each producing agent to mitigate a specific amount of GHG concerning its fossil substitute (in tons of CO 2 equivalent). The total emission is compared with that of the equivalent fossil fuel (gasoline, for ethanol), resulting in a final score (Energy-Environmental Efficiency Rating), characterizing the mitigation of emissions. This note generates CBios for biofuel producers and importers; with the decarbonization of the Brazilian energy matrix, there is a mechanism for the commercialization of these CBios linked to the carbon intensity of biofuels [2,12,16,18].The incentive to reduce pollutant emissions in the biofuel chain goes far beyond the use o...

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Section: Discussionmentioning

confidence: 99%

Classifying the Level of Energy-Environmental Efficiency Rating of Brazilian Ethanol

et al. 2020

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“…Resistance of fuse carrier can be determined from Equation (13) and resistance of fuse is calculated as (14).…”

Section: Of 25mentioning

confidence: 99%

“…The energy efficiency improvement of a lighting installation is the focus of many programs funded by the European Commission. Thanks to this, it will be possible to improve the efficiency of an electricity receiver, to reduce the costs of working [13][14][15][16][17][18]. Energy efficiency improvement is possible by using lighting dimming systems [7,8,17].…”

Section: Introductionmentioning

confidence: 99%

The Active Power Losses in the Road Lighting Installation with Dimmable LED Luminaires

Sikora¹,

Markiewicz²,

Pabjańczyk³

2018

Sustainability

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In accordance with the requirements of PN EN 13201-5 standard for road lighting installation, energy performance indicators should be descripted. In order to calculate energy performance indicators, it is necessary to know the active power of the road lighting system. The above standard does not specify whether active power losses should be taken into account in calculations. The main purpose of the article is to estimate the active power losses in the road lighting installation. The article presents methods for calculating active power losses, taking into account losses in all main elements of the installation. The obtained calculation results show the relationship between active power losses and the power of luminaires, their number and spacing between poles. Calculations of active power losses were made for single-phase and three-phase installations. The active power losses in a three-phase system do not exceed 1.5% and in a single-phase installation they may be greater than 7%. Therefore, in order to obtain exact values of energy performance indicators (and also predict electricity consumption), active power losses should be taken into account in calculations. In addition, a comparative analysis of the effect of luminaires dimming and active power losses on annual CO2 emissions was made. Not taking into account the active power losses in the calculation of the lighting installation’s power, for single-phase installations in particular, understates the calculated value of CO2 emissions by more than 6%.

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“…The applied electronically controlled smart ballast is a source of power for HPS lamps. It ensures optimal lamp use parameters throughout the period of its operation, extending the life of the lamp and reducing energy consumption compared to conventional ballasts (Hsieh and Lin 2011;Moo et al 2011;Gutierrez-Escolar et al 2016). The mentioned LonWorks network node module is equipped with a Neuron Chip processor 31xx series and Power Line transceiver (Sutterlin and Downey 1998).…”

Section: The Lamps As Bacs Nodesmentioning

confidence: 99%

Energy saving in the street lighting control system—a new approach based on the EN-15232 standard

Ożadowicz

Grela

2016

Energy Efficiency

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The street lighting is one of major components in total energy consumption in cities. The paper is focused on a concept of street lamp control systems and function organization with remote monitoring, to reduce maintenance costs and energy consumption. A new approach to the definition of functional strategy organization for outdoor lighting systems is introduced in the paper. Proposed functional strategies are based on four efficiency classes of building automation and control systems (BACS) defined in the EN 15323 standard. They have been formulated, analysed and eventually implemented and verified in real experiment street lighting installation. This outdoor lighting system, designed by the authors, based on LonWorks (the ISO/IEC EN 14908) platform with a power line communication aimed to control high-pressure sodium lamps. The street lamps are integrated nodes of a building management system (BMS). The results of experimental tests for the proposed functional strategies, implemented with various control scenarios, show that they provide a great potential in reducing energy consumption by street lighting installations. In particular, the energy use can be reduced even by 45 % in comparison to conventional street lighting system, especially without the use of monitoring and control.

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A review of energy efficiency label of street lighting systems

Cited by 18 publications

References 28 publications

Classifying the Level of Energy-Environmental Efficiency Rating of Brazilian Ethanol

Classifying the Level of Energy-Environmental Efficiency Rating of Brazilian Ethanol

The Active Power Losses in the Road Lighting Installation with Dimmable LED Luminaires

Energy saving in the street lighting control system—a new approach based on the EN-15232 standard

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