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Implementation of Fuzzy Sugeno Method for Power Efficiency
( Vol-4,Issue-9,September 2017 )
Author(s):

Riza Alfita, Durrotul Mamluah, Miftachul Ulum, Rosida Vivin Nahari

Keywords:

Electrical Power, Efficiency, Fuzzy Sugeno, ECI, SEC

Abstract:

Energy is one of the basic needs for human being. One of the most vital energy sources is electricity. Electricity is a type of energy that sustains survival of human being, more particularly in industrial sector. Efficiency in industrial sector refers to a state where electricity is used to as little as possible to produce the same amount of product. The case study was conducted in marine commodity sector, anchovy and jellyfish supplier. The supplier was classified as SME that installed 33,000 VA electric powers (B2). The data were in the form of energy consumption intensity (ECI) and specific energy consumption (SEC) to determine the energy efficiency level. The objective of the study was to classify the efficiency level of electricity consumption using Sugeno Fuzzy method. The findings of the study were 1) the average ECI between January, 2016 and April, 2017 was 1,949 kWh/m2; it was classified as efficient; 2) the average SEC at the same period was 126,108 kWh/ton; it was classified as excessive. Sugeno Fuzzy logic was implemented to determine efficiency level of electricity in this company. Based on the average ECI and SEC, the electricity consumption of the company was categorized as excessive with FIS Sugeno output of 0.803.

ijaers doi crossref DOI:

10.22161/ijaers.4.9.1

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References:

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