A model of energy management analysis, case study of a sugar factory in Turkey View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-03

AUTHORS

Tolga Taner, Mecit Sivrioğlu, Hüseyin Topal, Ahmet Selim Dalkılıç, Somchai Wongwises

ABSTRACT

This study presents a case study of energy management in a sugar factory in Turkey. The main idea of the study is to analyse energy consumption, the quantity of material production, and figure out a suitable energy efficiency for the case study of a sugar factory subsequently. Firstly, a material production and energy consumption audit were performed for the sugar factory. Secondly, energy efficiency was calculated from the energy data. The SPSS (Statistical Package for the Social Sciences) statistical software was used to ensure the accuracy of the data. The factory’s energy consumption was calculated as 43,590.25 toe (tons of oil equivalent) over the last year. These results were used for CUSUM (Cumulative Sum Deviation Method) graphics. This research poses the consumption of energy, cost of energy and the relationship between energy usage and material production of sugar. The unit of energy cost was 688.22 [$/toe] for the last year. This result showed that the factory decreased the unit of energy by optimisation. The results indicated that the investigated sugar factory should pay attention to the energy management issue in order to comply with the Energy Efficiency of Turkish Law and Directives. More... »

PAGES

42

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12046-018-0793-2

DOI

http://dx.doi.org/10.1007/s12046-018-0793-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101625113


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Download the RDF metadata as:  json-ld nt turtle xml License info

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12046-018-0793-2'


 

This table displays all metadata directly associated to this object as RDF triples.

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