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    Energy Management Techniques for Small- and Medium-Sized Companies (ESDA2006-95808)

    Source: Journal of Energy Resources Technology:;2008:;volume( 130 ):;issue: 001::page 12002
    Author:
    Elena Giacone
    ,
    Pietro Gabriele
    ,
    Salvatore Mancò
    DOI: 10.1115/1.2835614
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Energy management in the industrial context is an important factor to attain energy savings as well as environmental efficiency. Often, linear regression models quite well represent the consumption of energy carriers and statistical process control (SPC) techniques, such as the cumulative sum (CUSUM) plot and Shewhart-like control charts, are currently applied to identify when a system changes the way energy is consumed. Despite the fact that SPC is widely applied in many fields, there is a lack of published material in energy management. The purpose of this paper is to widen the SPC techniques to be applied to energy management. Particular emphasis is given to small- and medium-sized enterprises since energy data are limited and generally known at system level. The CUSUM of the recursive residuals is proposed as the main tool for the analysis of energy consumption data, both for the historical and the monitoring phases. In addition, tabular CUSUM and EWMA control charts are also included.
    keyword(s): Quality control charts , Energy consumption , Statistical process control , Regression analysis , Regression models AND Signals ,
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      Energy Management Techniques for Small- and Medium-Sized Companies (ESDA2006-95808)

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    https://yetl.yabesh.ir/yetl1/handle/yetl/137830
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    contributor authorElena Giacone
    contributor authorPietro Gabriele
    contributor authorSalvatore Mancò
    date accessioned2017-05-09T00:27:44Z
    date available2017-05-09T00:27:44Z
    date copyrightMarch, 2008
    date issued2008
    identifier issn0195-0738
    identifier otherJERTD2-26551#012002_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/137830
    description abstractEnergy management in the industrial context is an important factor to attain energy savings as well as environmental efficiency. Often, linear regression models quite well represent the consumption of energy carriers and statistical process control (SPC) techniques, such as the cumulative sum (CUSUM) plot and Shewhart-like control charts, are currently applied to identify when a system changes the way energy is consumed. Despite the fact that SPC is widely applied in many fields, there is a lack of published material in energy management. The purpose of this paper is to widen the SPC techniques to be applied to energy management. Particular emphasis is given to small- and medium-sized enterprises since energy data are limited and generally known at system level. The CUSUM of the recursive residuals is proposed as the main tool for the analysis of energy consumption data, both for the historical and the monitoring phases. In addition, tabular CUSUM and EWMA control charts are also included.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEnergy Management Techniques for Small- and Medium-Sized Companies (ESDA2006-95808)
    typeJournal Paper
    journal volume130
    journal issue1
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.2835614
    journal fristpage12002
    identifier eissn1528-8994
    keywordsQuality control charts
    keywordsEnergy consumption
    keywordsStatistical process control
    keywordsRegression analysis
    keywordsRegression models AND Signals
    treeJournal of Energy Resources Technology:;2008:;volume( 130 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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