Multi criteria analysis to evaluate the best location of plants for renewable energy by forest biomass: a case study in central Italy

Fabio Recanatesi, Michela Tolli, Richard Lord

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper presents preliminary results of a multi-criteria analysis (MCA) process in GIS environment for the identifications of sites suitable for building biomass plants. Today, environmental assessment needs of Decision Support Systems (DSSs) able to consider several aspects in a unique analysis framework. Biomass to energy projects are highly geographically dependent and the plant’s profitability can be strongly influenced by its location. The complexity of interaction among ecological, economic and political variables and a widespread lack of data availability lead to difficulty in bringing together large-scale analysis and local planning systems. This gap can be solved through flexible tools able to relate large scale environmental assessment with medium and small scale DSS, useful for local decisions makers.
LanguageEnglish
Pages6447-6458
Number of pages12
JournalApplied Mathematical Sciences
Volume8
Issue number129
DOIs
Publication statusPublished - 2014

Fingerprint

Multi Criteria Analysis
Renewable Energy
environmental assessment
renewable energy sources
decision support systems
Biomass
decision support system
Decision Support Systems
Decision support systems
Italy
case studies
local planning
ecological economics
Profitability
Evaluate
biomass
planning system
profitability
Geographic information systems
energy

Keywords

  • forest bio-energy
  • multi criteria analysis
  • renewable energy

Cite this

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Multi criteria analysis to evaluate the best location of plants for renewable energy by forest biomass : a case study in central Italy. / Recanatesi, Fabio; Tolli, Michela; Lord, Richard.

In: Applied Mathematical Sciences, Vol. 8, No. 129, 2014, p. 6447-6458.

Research output: Contribution to journalArticle

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