Open AccessAnalysis of multivariate assessment methods for effective location of renewable energy facilities
Author(s) -
Anna Kirichenko,
E. V. Kirichenko
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/488/1/012022
Subject(s) - renewable energy , multivariate statistics , fuzzy logic , key (lock) , environmental economics , computer science , multivariate analysis , operations research , risk analysis (engineering) , engineering , business , economics , artificial intelligence , machine learning , computer security , electrical engineering
The article emphasizes the importance of a method for assessing the efficiency of power plants based on renewable energy sources. The key criteria of the main multivariate models were analyzed and prioritized. The main current methods including those using fuzzy logic were studied. The technical, economic and legal characteristics that maximize the choice of the optimal methodology for assessing the effectiveness were identified. The method was selected on the example of Krasnodar Territory.