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Research on energy efficiency evaluation for overhead crane

Yifei Tong (School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China)
Ruiwen Zhao (School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China)
Wei Ye (School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China)
Dongbo Li (School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China)

Kybernetes

ISSN: 0368-492X

Article publication date: 3 May 2016

341

Abstract

Purpose

Crane plays a very important role in national economy with greatly reduced labor intensity, improved production efficiency and promoted social development as an indispensable auxiliary tool and process equipment. Therefore, its energy consumption becomes an unavoidable topic and in fact, energy consumption of crane is very huge. It has been proved to be the most cost-effective way for reducing energy consumption to establish and implement new energy efficiency standard. Thus, it is necessary to analyze and evaluate the energy efficiency for overhead crane so as to propose a new energy efficiency standard. The paper aims to discuss these issues.

Design/methodology/approach

In this paper, four kinds of energy consumption sources of overhead crane is considered, based on which, an energy efficiency grading model for overhead crane based on BP neural network is proposed. Second, DS evidential theory is analyzed and based on it, an energy efficiency evaluation model based on BP neural network and DS evidential theory is proposed. The evaluation procedure is discussed in detail. Then, a case is demonstrated how the evaluation is carried out.

Findings

If overhead cranes with different energy consumptions need to be graded according to energy efficiency, the criterions to establish the energy efficiency labels for overhead cranes is proposed in this paper.

Practical implications

The research results can provide energy efficiency standard proposal of overhead crane for relative departments to monitor the design, manufacturing and use of overhead crane.

Originality/value

An energy efficiency grading model for overhead crane based on BP neural network is proposed. An energy efficiency evaluation model based on BP neural network and DS evidential theory is proposed.

Keywords

Acknowledgements

This work was financially supported by National Foundation of General Administration of Quality Supervision and Inspection (2012QK178), Program of Science Foundation of General Administration of Quality Supervision and Inspection of Jiangsu Province (KJ103708), the Priority Academic Program Development of Jiangsu Higher Education Institutions and “excellence plans-zijin star” Foundation of Nanjing University of Science and Technology. The supports are gratefully acknowledged.

Citation

Tong, Y., Zhao, R., Ye, W. and Li, D. (2016), "Research on energy efficiency evaluation for overhead crane", Kybernetes, Vol. 45 No. 5, pp. 788-797. https://doi.org/10.1108/K-09-2015-0225

Publisher

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Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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