—This study contains a statistical model for hydrogen production through water electrolysis using wind energy. This is a modeling with experimental validation for the analysis of polynomial by planting ANOVA (Variables) method to Response Surface Methodology (RSM). The practical data for wind energy and electrical power are collected from the literature for this model. The wind turbine capacity has been taken to be 1kW, 3kW and 5 kW which is the low to high actual value and for output power low to high actual value has been taken as 0.7 to 6.2 kW. The ANOVA method will be utilized to see other statistical proper tools as for actual and predicted values, response between residuals and predicted, 3-D surface and contour analysis plot. The statistical analysis shows that the planned model and the experiment results have a good fit.
—Statistical model, wind energy, ANOVA method, hydrogen production.
Md. Shouquat Hossain and Adarsh Kumar Pandey are with the Centre of Research UMPEDAC, Level 4, Wisma R&D, University of Malaya, 59990 Kuala Lumpur, Malaysia (e-mail: email@example.com, firstname.lastname@example.org, email@example.com).
Mohsin Ali Tunio is with the Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia (e-mail: firstname.lastname@example.org).
Jeyraj A/L Selvaraj is with the Department of Educational Management, Planning and Policy, Faculty of Education, University of Malaya, 50603 Kuala Lumpur, Malaysia (e-mail: email@example.com).
Ali Wad Abbas Al-Fatlawi is with the Department of Mechanical Energy, University of Kufa, Najaf street, 00964 Najaf, Iraq (e-mail: firstname.lastname@example.org).
Kazi Enamul Hoque is with Institution of Engineering and Technology, U.K. (e-mail: email@example.com).
Cite: Md. Shouquat Hossain, Adarsh Kumar Pandey, Mohsin Ali Tunio, Jeyraj A/L Selvaraj, Ali Wad Abbas Al-Fatlawi, and Kazi Enamul Hoque, "Statistical Modeling for Hydrogen Production Using Wind Energy," International Journal of Materials, Mechanics and Manufacturing vol. 4, no. 3, pp. 218-222, 2016.