Evaluation of coefficient of utilization in interior lighting design from the photometric data of luminaire using artificial neural network

C. S. Adiga, R. S. Aithal

Research output: Contribution to journalArticle

Abstract

In this paper, an effort is made to enlighten the application of Artificial Neural Networks in the field of interior lighting design. The Coefficient of Utilization is an important parameter to be determined before deciding the number, wattage and alignment of lamps fora given application. The approximations and assumptions made in the conventional design procedure may arise ambiguities due to the interpolation of many factors like, zonal multipliers, lower flux utilance, etc. and hence may lead to poor results. The Artificial Neural Network developed not uses any particular mathematical model of the system and also it takes into account. the nonlinearity. Therefore, the results obtained are more accurate, reliable and generates confidence than the conventional methods. Therefore, the customer will be benefited by the reduction of both capital and running costs.

Original languageEnglish
Pages (from-to)14-18
Number of pages5
JournalJournal of the Institution of Engineers (India): Electrical Engineering Division
Volume89
Issue numberDECEMBER
Publication statusPublished - 17-12-2008

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Lighting
Neural networks
Electric lamps
Interpolation
Mathematical models
Fluxes
Costs

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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