A multi-attribute decision model for portfolio selection aiming to replace technologies in industrial motor systems

► We propose a multicriteria decision model for technology replacement. ► We prioritize induction motors in order to improve the energy efficiency. ► The best portfolio of options is selected based on decision maker’s utilities. ► The model contribute to surpass some organizational barriers. The ene...

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Bibliographic Details
Published in:Energy conversion and management Vol. 57; pp. 97 - 106
Main Authors: Sola, Antonio Vanderley Herrero, Mota, Caroline Maria de Miranda
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01-05-2012
Elsevier
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Summary:► We propose a multicriteria decision model for technology replacement. ► We prioritize induction motors in order to improve the energy efficiency. ► The best portfolio of options is selected based on decision maker’s utilities. ► The model contribute to surpass some organizational barriers. The energy efficient technologies offered by the market are in constant evolution, but their insertion in the productive sector comes up against organizational barriers, which obstruct decision making in firms. This paper proposes a multicriteria decision model in order to replace technologies in industrial energy systems, regarding organizational barriers for energy efficiency. The proposed model is applied in industrial motor systems, using Multi-Attribute Utility Theory (MAUT), in order to select the best portfolio of options based on the decision maker’s utilities. Portfolios of options from the prioritized set of motors compiled by the operational area of the studied industry are analyzed, including diverse suppliers and different classes of motors. The results show that it is essential to structure the proposed model in two steps, beginning with the operational level, to ensure that important technologies for the production system are prioritized, thus preserving the interests of the organization and improving the efficiency of industrial energy systems.
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content type line 23
ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2011.12.013