Abstract
This paper analyses the effect of best position blade pitching on the power coefficient of vertical axis wind turbine (VAWT) at different tip speed ratios (TSRs). Single Stream Tube (SST) and Double Multiple Stream Tube (DMST) models are used for present analysis. The results indicate that the best pitch position blade method improves the self-starting capacity and power coefficient of turbine. The best position blade pitching curve-1 with 45° pitch angles gives maximum power coefficient for TSRs of 0.5 and the best position blade pitching curve-5 with 15° pitch angle gives maximum coefficient of power about 0.49 for TSR 2.5. The results of SST model are compared with DMST model and presented at the end of this paper.
Highlights
Rapid increase in global energy requirement resulted in considerable attention towards renewable energy sources as there are shortages of fossil fuels
In this research paper mathematical modelling and Matlab programming based on Single Stream Tube (SST) and Double Multiple Stream Tube (DMST) model is carried out to understand the power coefficient of the turbine.The following conclusions can be drawn from this research paper
The maximum power coefficient can be obtained for variation of tip speed ratios (TSRs) from 0.5 to 3 by using the six best position blade pitching curves with varying the pitch angle of the blades
Summary
Rapid increase in global energy requirement resulted in considerable attention towards renewable energy sources as there are shortages of fossil fuels. Some of the researcher proposed VAWTs with individual blade pitching and claimed 25% higher power coefficient than of collective pitch control It is learnt from the literature survey that most of the referred pitch control methods are under develop and require more efforts to improve its performance [23,24,25]. The methods used for pitching blades are still required more attention and investigation in order to enhance the overall performance of the turbine under different TSRs. The main objective of this research paper is to present the effect of different best position blade pitching curves on overall performance of the turbine to self-start at low wind speed and increase its power coefficient at various TSRs. In this paper SST and DMST mathematical models are developed and numerical analysis of the turbine and its comparison between SST and DMST is carried out to predict the performance of the turbine
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