Authors: Saikat Ranjan Maity; Shankar Chakraborty
Addresses: Department of Production Engineering, Haldia Institute of Technology, Haldia – 721657, East Midnapur, India. ' Department of Production Engineering, Jadavpur University, Kolkata – 700 032, West Bengal, India
Abstract: In the present era, maximum amount of energy consumed is produced by non-renewable sources, which are constrained in their amounts. Eventually, these limited resources would be depleted and new energy sources would have to replace the fossil fuels. Wind energy and oscillating water column wave energy can help alleviate this dependency on non-renewable sources. This kind of sustainable energy is generated by wind turbines and wave energy extraction impulse turbines. The efficiency of a turbine greatly depends on material, shape and angle of its blade. Given the intricacy of turbine blade material selection problem with various alternative choices and numerous criteria having interactions and dependencies, this paper applies a fuzzy analytic network process (FANP)-based approach to select the most appropriate materials for wind energy and wave energy extraction impulse turbine blades. The applicability of FANP method is demonstrated with two examples to prove its adaptability to solve industrial decision-making problems.
Keywords: turbine blade materials; fuzzy ANP; analytic network process; FANP; supermatrix; priority vector; materials selection; turbine blades; impulse turbines; wind energy; wave energy; wind power; wave power.
International Journal of Materials and Structural Integrity, 2012 Vol.6 No.2/3/4, pp.169 - 189
Published online: 18 Sep 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article