Computational optimization of adaptive hybrid Darrieus turbine : part 1

Darrieus-type Vertical Axis Wind Turbines (VAWT) are promising for small scale decentralized power generation because of their unique advantages such as simple design, insensitive to wind direction, reliability, and ease of maintenance. Despite these positive aspects, poor self-starting capability a...

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Main Authors: Kumar, Palanisamy Mohan, Surya, Mohan Ram, Sivalingam, Krishnamoorthi, Lim, Teik-Cheng, Ramakrishna, Seeram, Wei, He
Other Authors: NTUitive
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/144121
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1441212021-01-07T03:16:26Z Computational optimization of adaptive hybrid Darrieus turbine : part 1 Kumar, Palanisamy Mohan Surya, Mohan Ram Sivalingam, Krishnamoorthi Lim, Teik-Cheng Ramakrishna, Seeram Wei, He NTUitive Energy Research Institute @ NTU (ERI@N) Science::General Wind Turbine Savonius Darrieus-type Vertical Axis Wind Turbines (VAWT) are promising for small scale decentralized power generation because of their unique advantages such as simple design, insensitive to wind direction, reliability, and ease of maintenance. Despite these positive aspects, poor self-starting capability and low efficiency in weak and unsteady winds deteriorate further development. Adaptive Hybrid Darrieus Turbine (AHDT) was proposed by the author in the past study as a potential solution to enhance low wind speed characteristics. The objective of the current research is to optimize the parameters of AHDT. AHDT integrates a dynamically varying Savonius rotor with a Darrieus rotor. A fully detailed 2D numerical study employing Reynold-Averaged Navier Stokes (RANS) is carried out to investigate the impact of the Darrieus rotor diameter (DR) on the Savonius rotor (DT) with regard to hybrid turbine performance. The power coefficient of the Darrieus rotor is evaluated when the Savonius rotor is in the closed condition (cylinder) of various diameters. The influence of Reynolds number (Re) on the torque coefficient is examined. Power loss of 58.3% and 25% is reported for DR/DT ratio of 1.5 and 2 respectively for AHDT with solidity 0.5 at 9 m/s. The flow interaction between the Savonius rotor in closed configuration reveals the formation of von Karman vortices that interact with Darrieus blades resulting in flow detachment. An optimum diametrical ratio (DR/DT) of 3 is found to yield the maximum power coefficient of the Darrieus rotor. Agency for Science, Technology and Research (A*STAR) Published version This research was funded by 2016 ASTAR AME IRG Grant. 2020-10-14T04:15:08Z 2020-10-14T04:15:08Z 2019 Journal Article Kumar, P. M., Surya, M. R., Sivalingam, K., Lim, T.-C., Ramakrishna, S., & Wei, H. (2019). Computational optimization of adaptive hybrid Darrieus turbine : part 1. Fluids, 4(2), 90-. doi:10.3390/fluids4020090 2311-5521 https://hdl.handle.net/10356/144121 10.3390/fluids4020090 2 4 en Fluids © 2019 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::General
Wind Turbine
Savonius
spellingShingle Science::General
Wind Turbine
Savonius
Kumar, Palanisamy Mohan
Surya, Mohan Ram
Sivalingam, Krishnamoorthi
Lim, Teik-Cheng
Ramakrishna, Seeram
Wei, He
Computational optimization of adaptive hybrid Darrieus turbine : part 1
description Darrieus-type Vertical Axis Wind Turbines (VAWT) are promising for small scale decentralized power generation because of their unique advantages such as simple design, insensitive to wind direction, reliability, and ease of maintenance. Despite these positive aspects, poor self-starting capability and low efficiency in weak and unsteady winds deteriorate further development. Adaptive Hybrid Darrieus Turbine (AHDT) was proposed by the author in the past study as a potential solution to enhance low wind speed characteristics. The objective of the current research is to optimize the parameters of AHDT. AHDT integrates a dynamically varying Savonius rotor with a Darrieus rotor. A fully detailed 2D numerical study employing Reynold-Averaged Navier Stokes (RANS) is carried out to investigate the impact of the Darrieus rotor diameter (DR) on the Savonius rotor (DT) with regard to hybrid turbine performance. The power coefficient of the Darrieus rotor is evaluated when the Savonius rotor is in the closed condition (cylinder) of various diameters. The influence of Reynolds number (Re) on the torque coefficient is examined. Power loss of 58.3% and 25% is reported for DR/DT ratio of 1.5 and 2 respectively for AHDT with solidity 0.5 at 9 m/s. The flow interaction between the Savonius rotor in closed configuration reveals the formation of von Karman vortices that interact with Darrieus blades resulting in flow detachment. An optimum diametrical ratio (DR/DT) of 3 is found to yield the maximum power coefficient of the Darrieus rotor.
author2 NTUitive
author_facet NTUitive
Kumar, Palanisamy Mohan
Surya, Mohan Ram
Sivalingam, Krishnamoorthi
Lim, Teik-Cheng
Ramakrishna, Seeram
Wei, He
format Article
author Kumar, Palanisamy Mohan
Surya, Mohan Ram
Sivalingam, Krishnamoorthi
Lim, Teik-Cheng
Ramakrishna, Seeram
Wei, He
author_sort Kumar, Palanisamy Mohan
title Computational optimization of adaptive hybrid Darrieus turbine : part 1
title_short Computational optimization of adaptive hybrid Darrieus turbine : part 1
title_full Computational optimization of adaptive hybrid Darrieus turbine : part 1
title_fullStr Computational optimization of adaptive hybrid Darrieus turbine : part 1
title_full_unstemmed Computational optimization of adaptive hybrid Darrieus turbine : part 1
title_sort computational optimization of adaptive hybrid darrieus turbine : part 1
publishDate 2020
url https://hdl.handle.net/10356/144121
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