MULTI - CRITERIA DECISION MODEL FOR BIODIESEL SELECTION IN AN ELECTRICAL POWER GENERATOR BASED ON FAHP-GRA-TOPSIS

Autor:	B. Thyalan, K. S. Rangasamy, M. RamManohar, K. Sathiya Sekar, S. Durairaj, E. Yuvaraj, M. Ilangkumaran, S. Ramesh
Rok vydání:	2014
Předmět:	Engineering Electricity generation Operations research business.industry TOPSIS Ideal solution Diesel generator Electric power Multiple-criteria decision analysis business Selection (genetic algorithm) Renewable energy
Zdroj:	International Journal of Research in Engineering and Technology. :226-233
ISSN:	2319-1163 2321-7308
DOI:	10.15623/ijret.2014.0323050
Popis:	Energy has become a crucial factor for humanity to continue the economic growth and maintain high standard of living especially after the inauguration of the industrial revolution in the late 18th and early 19th century. In power generation an efficient alternative renewable sources is required to meet present power crisis. Bio fuels are one of the solutions for the power challenge. The power generation in a diesel generator depends on the fuel used in it. The selection of alternate fuel (Bio fuel) is a Multi Criteria Decision Making [MCDM] problem based on many qualitative and conflicting criteria. This paper presents a hybrid MCDM model for fuel selection. The Grey Relation Analysis integrated with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to analyze the various criteria of each fuel and rank them. This study focuses on seven alternatives with seven evaluation criteria.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c2b2da3aebdd2a1134b455703556a400 https://doi.org/10.15623/ijret.2014.0323050 Zobrazit plný text záznamu