OPTIMISASI KINERJA PENCAHAYAAN BUATAN UNTUK EFISIENSI PEMAKAIAN ENERGI LISTRIK PADA RUANGAN DENGAN METODE ALGORITMA GENETIKA

Hadisusanto, Fanny and Warsito, Agung and Juningtyastuti, Juningtyastuti (2012) OPTIMISASI KINERJA PENCAHAYAAN BUATAN UNTUK EFISIENSI PEMAKAIAN ENERGI LISTRIK PADA RUANGAN DENGAN METODE ALGORITMA GENETIKA. Undergraduate thesis, Universitas Diponegoro.

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Abstract

The electrical energy is so essential for human being, yet it could be harmful for human safety. One of utilization of eletrical energy is for artificial lighting. The excessive lighting would not be be fine for human vision, if it is just concern on the quantity. The good lighting must concern on the quantity and quality of lighting which is determined by the light reflection level and lighting rasio in a room. Besides, efficiency of the electrical energy consumption must be noted. Therefore, the artificial lighting perfomance optimization would be discussed here, in order to get the intensity of the artificial light illumination (lux) and the power efficiency in the test room according to the existing standard by genetic algorithm method and Delphi as the software that support this. The genetic algorithm is optimization method based on genetic principles which is representation of the parameter that is optimized, thus it would get the best individuals among the individuals within a population. The test was perfomed an laboratory room using four types of lamps: TL lamps, incadecent lamps, compact fluorecent lamps, and halogen lamps. The simulation results were obtained value of the best (optimum) power efficiency 3,1289 watt/m 2 by using 16 pieces lamps of TL lamps with the illumination intensity 250,132 lux. Keywords : artificial lighting, lighting intesity, power efficiency, genetic algorithm method, best indiviual

Item Type:Thesis (Undergraduate)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Faculty of Engineering > Department of Electrical Engineering
Faculty of Engineering > Department of Electrical Engineering
ID Code:35709
Deposited By:Mr. Sudjadi Pranoto
Deposited On:04 Jul 2012 18:50
Last Modified:04 Jul 2012 18:50

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