Fuzzy decision support methodology for sustainable energy crop selection

Ligita Baležentienė, Dalia Štreimikienė, Tomas Baležentis

Research output: Contribution to journalArticle

65 Citations (Scopus)

Abstract

Both strategic and environmental factors make biomass an important energy source and element of sustainable energy policy. The establishment of a reasonable energy crop-mix, indeed, involves various uncertain data. This paper, therefore, offers a multi-criteria decision making framework for prioritization of energy crops based on fuzzy MULTIMOORA method which enables to tackle imprecise information. Given the appropriate energy crop-mix should exhibit both climatic suitability and low environmental pressure, we have defined the indicator set covering respective linguistic and numeric indicators. Accordingly, the set of alternatives were constructed from energy crops suitable for the Lithuanian climate. The fuzzy MULTIMOORA method was employed for data fusion and prioritization. As a result, the prospective species for energy crop-mix were suggested.

Original languageEnglish
Pages (from-to)83-93
Number of pages11
JournalRenewable and Sustainable Energy Reviews
Volume17
DOIs
Publication statusPublished - Jan 2013

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Crops
Energy policy
Data fusion
Linguistics
Biomass
Decision making

Keywords

  • Biomass production
  • Energy crop mix
  • Fuzzy logics
  • Multi-criteria decision making
  • Sustainable energy

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

Fuzzy decision support methodology for sustainable energy crop selection. / Baležentienė, Ligita; Štreimikienė, Dalia; Baležentis, Tomas.

In: Renewable and Sustainable Energy Reviews, Vol. 17, 01.2013, p. 83-93.

Research output: Contribution to journalArticle

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