Modelling the Energy Intensity of an Overhead Crane in a Specified Work Cycle.

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Title: Modelling the Energy Intensity of an Overhead Crane in a Specified Work Cycle.
Authors: Zając, Paweł1 (AUTHOR)
Source: Energies (19961073). Dec2025, Vol. 18 Issue 24, p6550. 37p.
Subjects: Energy consumption, Simulink (Computer software), Cranes (Machinery), Warehouses, Energy harvesting, Simulation software, MatLab (Computer software)
Abstract: This paper presents an original method for modelling the energy intensity of an overhead crane using MATLAB–Simulink and MSC Adams software. The analysis focused on an overhead crane used in warehouses handling bundled goods, which are placed on pallets. The study examined the energy intensity of the crane in two reference, predefined work cycles: goods reception and order picking. During the development phase, data from logistics centres and the FLEXSIM system were used to define the test cycles. The author's experience in implementing and developing standards was also applied. Reference measurements of the crane, necessary for validating the computer model, were carried out in real operating conditions at a logistics centre. The integration of the author's proprietary approach—combining computer-based energy intensity modelling with test cycles for the crane—helped overcome barriers in supporting the concept of "green warehouses" (passive or energy-positive), making it possible to estimate and compare the energy intensity of intralogistics facilities. A high level of agreement was achieved between the measured and modelled data using the author's proprietary EPI. The described methodology was verified using a double-girder overhead crane handling bundled load units in a warehouse. The test results determined the potential for energy recovery within the crane's drive system. [ABSTRACT FROM AUTHOR]
Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Modelling the Energy Intensity of an Overhead Crane in a Specified Work Cycle.
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Dec2025, Vol. 18 Issue 24, p6550. 37p.
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  Data: <searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Simulink+%28Computer+software%29%22">Simulink (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Cranes+%28Machinery%29%22">Cranes (Machinery)</searchLink><br /><searchLink fieldCode="DE" term="%22Warehouses%22">Warehouses</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+harvesting%22">Energy harvesting</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+software%22">Simulation software</searchLink><br /><searchLink fieldCode="DE" term="%22MatLab+%28Computer+software%29%22">MatLab (Computer software)</searchLink>
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  Label: Abstract
  Group: Ab
  Data: This paper presents an original method for modelling the energy intensity of an overhead crane using MATLAB–Simulink and MSC Adams software. The analysis focused on an overhead crane used in warehouses handling bundled goods, which are placed on pallets. The study examined the energy intensity of the crane in two reference, predefined work cycles: goods reception and order picking. During the development phase, data from logistics centres and the FLEXSIM system were used to define the test cycles. The author's experience in implementing and developing standards was also applied. Reference measurements of the crane, necessary for validating the computer model, were carried out in real operating conditions at a logistics centre. The integration of the author's proprietary approach—combining computer-based energy intensity modelling with test cycles for the crane—helped overcome barriers in supporting the concept of "green warehouses" (passive or energy-positive), making it possible to estimate and compare the energy intensity of intralogistics facilities. A high level of agreement was achieved between the measured and modelled data using the author's proprietary EPI. The described methodology was verified using a double-girder overhead crane handling bundled load units in a warehouse. The test results determined the potential for energy recovery within the crane's drive system. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/en18246550
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      – Code: eng
        Text: English
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        PageCount: 37
        StartPage: 6550
    Subjects:
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Simulink (Computer software)
        Type: general
      – SubjectFull: Cranes (Machinery)
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      – SubjectFull: Warehouses
        Type: general
      – SubjectFull: Energy harvesting
        Type: general
      – SubjectFull: Simulation software
        Type: general
      – SubjectFull: MatLab (Computer software)
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      – TitleFull: Modelling the Energy Intensity of an Overhead Crane in a Specified Work Cycle.
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              Text: Dec2025
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              Y: 2025
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