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The 9th International Energy Conference
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:: Volume 20, Issue 4 (3-2018) ::
IJE 2018, 20(4): 79-100 Back to browse issues page
Energy Saving in Kiln Unit of of ABYEK CEMENT CO: Data Clustering Approach
Abolfazl Kazemi * , Bagher Doosti
Qazvin Branch, Islamic Azad University , abkaazemi@gmail.com
Abstract:   (2353 Views)

Cost of cement producing all over the world depends on to the level of wages, energy cost and availability of raw materials. By investigating financial statements of various companies at the stock market, the share of electrical and fuel costs are nearly 27 percent of total costs and this plays the important role in right management of energy consumption. In this regard mathematics modeling and finding optimum points based on effective factors is very important. According to data recording equipment operation and energy consumption and corresponding database, using data mining techniques to create models of energy consumption is possible. In this paper, using clustering as a data mining techniques, to create a descriptive model has been paid to finding the best way through which the Department of kiln operation, to optimize energy consumption. With the implementation of the strategy obtained from the descriptive model, nearly 5 percent on average, electrical energy per ton of product (Kwh / ton) and average thermal energy (kcal / kgcli) at the rate of 4.57 percent as both will be reduced.

Keywords: Data mining, Clustering, Energy consumption optimization, Cement.
Full-Text [PDF 672 kb]   (1133 Downloads)    
Type of Study: Research | Subject: Energy Management, Conservation and Rational Use of Energy
Received: 2016/12/26 | Accepted: 2017/08/7 | Published: 2018/03/15
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Kazemi A, Doosti B. Energy Saving in Kiln Unit of of ABYEK CEMENT CO: Data Clustering Approach. IJE 2018; 20 (4) :79-100
URL: http://necjournals.ir/article-1-1183-en.html


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Volume 20, Issue 4 (3-2018) Back to browse issues page
نشریه انرژی ایران Iranian Journal of Energy
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