Alireza Mohammadi, Alireza
Gotvand irrigation & Drainage operational Network Company

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A New Method for Horizontal Axis Wind Turbine (HAWT) Blade Optimization Mohammadi, Mohammadreza; Mohammadi, Alireza; Farahat, Said
International Journal of Renewable Energy Development Vol 5, No 1 (2016): February 2016
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.5.1.1-8

Abstract

Iran has a great potential for wind energy. This paper introduces optimization of 7 wind turbine blades for small and medium scales in a determined wind condition of Zabol site, Iran, where the average wind speed is considered 7 m /s. Considered wind turbines are 3 bladed and radius of 7 case study turbine blades are 4.5 m, 6.5 m, 8 m, 9 m, 10 m, 15.5 m and 20 m. As the first step, an initial design is performed using one airfoil (NACA 63-215) across the blade. In the next step, every blade is divided into three sections, while the 20 % of first part of the blade is considered as root, the 5% of last the part is considered as tip and the rest of the blade as mid part. Providing necessary input data, suitable airfoils for wind turbines including 43 airfoils are extracted and their experimental data are entered in optimization process. Three variables in this optimization problem would be airfoil type, attack angle and chord, where the objective function is maximum output torque. A MATLAB code was written for design and optimization of the blade, which was validated with a previous experimental work. In addition, a comparison was made to show the effect of optimization with two variables (airfoil type and attack angle) versus optimization with three variables (airfoil type, attack angle and chord) on output torque increase. Results of this research shows a dramatic increase in comparison to initial designed blade with one airfoil where two variable optimization causes 7.7% to 22.27 % enhancement and three variable optimization causes 17.91% up to 24.48% rise in output torque .Article History: Received Oct 15, 2015; Received in revised form January 2, 2016; Accepted January 14, 2016; Available online How to Cite This Article: Mohammadi, M., Mohammadi, A. and Farahat, S. (2016) A New Method for Horizontal Axis Wind Turbine (HAWT) Blade Optimization. Int. Journal of Renewable Energy Development, 5(1),1-8. http://dx.doi.org/10.14710/ijred.5.1.1-8
Mapping and the spatial analysis of disability in the Khuzestan Province, Iran Razavian, Mohammad Taghi; Fanni, Zohre; Tavakolinia, Jamileh; Mohammadi, Alireza; Pishgar, Elahe
Indonesian Journal of Disability Studies Vol. 6 No. 1 (2019)
Publisher : The Center for Disability Studies and Services Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1152.812 KB) | DOI: 10.21776/ub.ijds.2019.006.01.14

Abstract

This study aims to mapping and spatial analysing of disability in the Khuzestan Province, Iran by using Geographic Information System. A total of 82, 674 disabled people information were included in the study. The 40 informational fields have been classified into 11 main categories. The Geographically Weighted Regression (GWR) technique were used for mapping and discovering the relationships. The results show that, 68.87% of the disabled people were urban residents. The disability rate of cities ranges from 10.54 to 43.05. As many as 63.43% of the disabled suffered from severe and extremely severe disabilities. About 60.59% of disabled were males 65.17% were married. In terms of educational level, as many as 87.61% of them had educational levels lower than junior high school. In terms of occupational status, about 74.24% of them were unemployed. There was a positive relationship between poverty and disability rate in 70.37% of the counties. Moreover, there was a positive relationship between population and disability ratio. In terms of disability variables, a significant difference was observed between different counties. The output of GWR method indicates that there was a positive and significant relationship between population and poverty level with disability ratio (Std. Dev. ‰¥ 0.05). However, the severity of this relationship varies in different counties.