Fluid Selection of Organic Rankine Cycle Using Decision Making Approach | Zendy

Aditya Chauhan | Zendy; Rahul Vaish | Zendy

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Fluid Selection of Organic Rankine Cycle Using Decision Making Approach

Author(s) -

Aditya Chauhan,

Rahul Vaish

Publication year - 2013

Publication title -

journal of computational engineering

Language(s) - English

Resource type - Journals

eISSN - 2356-7260

pISSN - 2314-6443

DOI - 10.1155/2013/105825

Subject(s) - similarity (geometry) , topsis , correlation coefficient , rank (graph theory) , organic rankine cycle , mathematics , cluster analysis , selection (genetic algorithm) , ideal solution , preference , computer science , statistics , data mining , artificial intelligence , power (physics) , thermodynamics , operations research , physics , electricity generation , combinatorics , image (mathematics)

An attempt has been made to rank and classify potential fluids for power production through organic rankine cycle (ORC) using technique for order preference by similarity to ideal solution (TOPSIS) method. In order to calculate subjective weights for the attributes under study, the modified digital logic (MDL) method has been used. It has been observed under two different case studies that R601 (pentane) shows promising results. These fluids are further classified using dendrogram, a hierarchical clustering technique. Finally Pearson's correlation coefficient is calculated for the attributes to find out the nature and degree of correlation between different attributes under study

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