Shape optimization of a shrouded Archimedean-spiral type wind turbine for small-scale applications

Hossam S. Abdel Hameed, Islam Hashem, Mohamed A.A. Nawar, Youssef A. Attai and Mohamed H. Mohamed

Energy, 2023, vol. 263, issue PB

Abstract: Small-scale wind turbines are increasingly gaining importance despite they are still in the shadow of the megawatt-sized wind turbine development boom. Areas far removed from the electricity grid pose great potential for small-scale wind turbines. In such instances an Archimedean-spiral type wind turbine (ASWT) which is a new kind of horizontal-axis wind turbine maybe used for small-scale applications including off-grid power. The ASWT performance is improved in this work by designing a shroud with a flange at its inlet during an optimization technique aims to maximize the coefficient of power (Cp). The employed optimizer is an Evolutionary Algorithm over a Kriging interpolative model. A set of straight lines is applied to identify the shape of the shroud. The output power coefficient (Cp) is calculated by solving the Reynolds-averaged Navier-Stokes (RANS) equations with the SST k-Ω turbulence model using the commercial code software ANSYS-FLUENT. The simulation results are verified through GCI and validated with an experimental result. It is proved that the optimal shroud design yielded important enhancements in the Cp when it is applied to an ASWT. The results indicated that the optimal shrouded ASWT introduces a maximum Cp-value of 0.502, which is 2.58 times the Cp-value of the bare ASWT (Cp = 0.195) at λ = 2.5.

Keywords: Archimedean-spiral; Shroud; Wind turbine; Single-objective optimization; Kriging model; Evolutionary algorithm (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222026950
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:263:y:2023:i:pb:s0360544222026950

DOI: 10.1016/j.energy.2022.125809

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().