Design and performance evaluation of vertical axis wind turbine for wind energy harvesting at railway

Hashwini Lalchand Thadani, Fadia Dyni Zaaba, Muhammad Raimi Mohammad Shahrizal, Arjun Singh Jaj A. Jaspal Singh Jaj, Yun Ii Go

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


This paper aims to design an optimum vertical axis wind turbine (VAWT) and assess its techno-economic performance for wind energy harvesting at high-speed railway in Malaysia.

This project adopted AutoCAD and ANSYS modeling tools to design and optimize the blade of the turbine. The site selected has a railway of 30 km with six stops. The vertical turbines are placed 1 m apart from each other considering the optimum tip speed ratio. The power produced and net present value had been analyzed to evaluate its techno-economic viability.

Computational fluid dynamics (CFD) analysis of National Advisory Committee for Aeronautics (NACA) 0020 blade has been carried out. For a turbine with wind speed of 50 m/s and swept area of 8 m2, the power generated is 245 kW. For eight trains that operate for 19 h/day with an interval of 30 min in nonpeak hours and 15 min in peak hours, total energy generated is 66 MWh/day. The average cost saved by the train stations is RM 16.7 mil/year with battery charging capacity of 12 h/day.

Wind energy harvesting is not commonly used in Malaysia due to its low wind speed ranging from 1.5 to 4.5 m/s. Conventional wind turbine requires a minimum cut-in wind speed of 11 m/s to overcome the inertia and starts generating power. Hence, this paper proposes an optimum design of VAWT to harvest an unconventional untapped wind sources from railway. The research finding complements the alternate energy harvesting technologies which can serve as reference for countries which experienced similar geographic constraints.
Original languageEnglish
Pages (from-to)190-217
Number of pages28
JournalWorld Journal of Science, Technology and Sustainable Development
Issue number2
Early online date12 Mar 2021
Publication statusPublished - 7 May 2021


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