Computational and experimental optimization of the exhaust air energy recovery wind turbine generator

Seyedsaeed Tabatabaeikia, Nik Nazri Bin Nik Ghazali, Wen Tong Chong, Behzad Shahizare, Nima Izadyar, Alireza Esmaeilzadeh, Ahmad Fazlizan Abdullah

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This paper studies the optimization of an innovative exhaust air recovery wind turbine generator through computational fluid dynamic (CFD) simulations. The optimization strategy aims to optimize the overall system energy generation and simultaneously guarantee that it does not violate the cooling tower performance in terms of decreasing airflow intake and increasing fan motor power consumption. The wind turbine rotor position, modifying diffuser plates, and introducing separator plates to the design are considered as the variable factors for the optimization. The generated power coefficient is selected as optimization objective. Unlike most of previous optimizations in field of wind turbines, in this study, response surface methodology (RSM) as a method of analytical procedures optimization has been utilised by using multivariate statistic techniques. A comprehensive study on CFD parameters including the mesh resolution, the turbulence model and transient time step values is presented. The system is simulated using SST K-ω turbulence model and then both computational and optimization results are validated by experimental data obtained in laboratory. Results show that the optimization strategy can improve the wind turbine generated power by 48.6% compared to baseline design. Meanwhile, it is able to enhance the fan intake airflow rate and decrease fan motor power consumption. The obtained optimization equations are also validated by both CFD and experimental results and a negligible deviation in range of 6–8.5% is observed.

Original languageEnglish
Pages (from-to)862-874
Number of pages13
JournalEnergy Conversion and Management
Volume126
DOIs
Publication statusPublished - 15 Oct 2016

Fingerprint

Turbogenerators
Wind turbines
Recovery
Air
Fans
Computational fluid dynamics
Turbulence models
Electric power utilization
Cooling towers
Separators
Rotors
Statistics
Computer simulation

Keywords

  • Computational fluid dynamic (CFD)
  • Computational optimization
  • Exhaust air recovery systems
  • Noise pollution
  • Response surface methodology (RSM)
  • Wind turbine

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Nuclear Energy and Engineering
  • Fuel Technology
  • Energy Engineering and Power Technology

Cite this

Computational and experimental optimization of the exhaust air energy recovery wind turbine generator. / Tabatabaeikia, Seyedsaeed; Ghazali, Nik Nazri Bin Nik; Chong, Wen Tong; Shahizare, Behzad; Izadyar, Nima; Esmaeilzadeh, Alireza; Abdullah, Ahmad Fazlizan.

In: Energy Conversion and Management, Vol. 126, 15.10.2016, p. 862-874.

Research output: Contribution to journalArticle

Tabatabaeikia, Seyedsaeed ; Ghazali, Nik Nazri Bin Nik ; Chong, Wen Tong ; Shahizare, Behzad ; Izadyar, Nima ; Esmaeilzadeh, Alireza ; Abdullah, Ahmad Fazlizan. / Computational and experimental optimization of the exhaust air energy recovery wind turbine generator. In: Energy Conversion and Management. 2016 ; Vol. 126. pp. 862-874.
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