Evaluation of Energy Efficiency Measures in Compressed Air Systems: A PROMETHEE Approach for Groups Facing Uncertainty

Simon Hirzel () and Grit Walther ()
Additional contact information
Simon Hirzel: Fraunhofer Institute for Systems and Innovation Research ISI
Grit Walther: RWTH Aachen, Chair of Operations Management

A chapter in Operations Research Proceedings 2012, 2014, pp 57-62 from Springer

Abstract: Abstract Industrial compressed air systems are important contributors to energy demand and energy costs. Thus, numerous measures to increase their energy efficiency have been proposed. Yet it often remains difficult for decision-makers to evaluate the different conceivable measures. Difficulties arise among others from uncertainties related to the evaluation of relevant criteria and from diverging interests within a company. As a mean to facilitate the decision-making processes for evaluating energy-efficiency measures, this paper suggests a fuzzy version of the PROMETHEE method which allows explicitly dealing both with multiple decision-makers and evaluations under uncertainty.

Keywords: Preference Function; Trapezoidal Fuzzy Number; Energy Efficiency Measure; Fuzzy Version; PROMETHEE Method (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-00795-3_9

Ordering information: This item can be ordered from
http://www.springer.com/9783319007953

DOI: 10.1007/978-3-319-00795-3_9

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().