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MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM
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Industrial Quality Prediction System through Data Mining Algorithm
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Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3

Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3

VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)
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Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2

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Volume - 2 | Issue - 2 | june 2020

Assessment of Environmental and Energy Performance Criteria for Street Lighting Tenders using Decision Support System
Pages: 72-79
Published
01 June, 2020
Abstract

Ineffective policies, missing technical information, large volumes of inappropriate luminaires, malpractice and several such reasons act as a hinderance for the adoption of LEDs in road lighting design despite being the most efficient sources of light. In national roads, the decision makers are sometimes confused by the low efficacy values of the luminaires. The tools for lighting simulation and projects in street lights require several energy performance indicators as described in EN13201-5 which is a novel system. This paper presents an optimal evaluation technique that involves the environmental criteria and can be implemented in the future energy policy. Evaluation of lighting tender and lighting designs is performed using a decision tool while analysing the significance of these factors. The corresponding offers and their ranking is evaluated by the decision tool. Several environmental benefits as well as improved energy saving can be achieved on implementation of this system. Simulation results shows reduced emission of CO2 and 75% energy saving using the best solution

Keywords

Sustainability Street lighting Lighting tender Lighting pollution LED luminaries Environmental criteria Energy efficiency Energy indicators Decision tool Adaptive lighting

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