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Development of a verifiably accurate road lighting calculation application in accordance with EN13021-3:2003

Everist, J; (2006) Development of a verifiably accurate road lighting calculation application in accordance with EN13021-3:2003. Doctoral thesis , UCL (University College London). Green open access

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Abstract

Road lighting installations are required to meet performance figures determined by a region's governing body in order to assure that the scheme will provide adequate lighting for road users after dark. For many countries in Europe including the UK, road lighting standards are dictated by the European Committee for Standardisation (CEN). To establish whether a proposed lighting installation will meet its relevant targets, a method of prediction must be used to ascertain the light distribution over the considered area. This is achieved by using mathematical formulas to calculate the results of the proposed installation. Traditionally luminaire manufacturers would provide charts, tables and graphical tools derived form these formulas so that a conforming scheme could be established without having to perform complex calculations. Today however, these methods of light computation are considered obsolete by the majority of people in the industry as lighting software will generate and present results far quicker than manual processes. The aim of this project was to create a system for verifying the accuracy of road lighting software in accordance with EN 13201-3. This has been addressed by developing an application within Microsoft Excel that follows these conventions exactly and also presents intermediate calculation stages in spreadsheets so that its methods of computation can be understood. This paper details its development and also identifies issues found in the standard as a result of this project.

Type: Thesis (Doctoral)
Title: Development of a verifiably accurate road lighting calculation application in accordance with EN13021-3:2003
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Thesis digitised by ProQuest.
UCL classification:
URI: https://discovery.ucl.ac.uk/id/eprint/1568240
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