Entity

Time filter

Source Type

Kuala Selangor, Malaysia

Ashour E.S.M.,University Sidi Mohammed Ben Abdellah | Sulaiman M.Y.,Solar Energy Research Institute SERI | Ibrahim Z.,University Sidi Mohammed Ben Abdellah
Journal of Physics: Conference Series | Year: 2013

Vertical aligned silicon nanowires were synthesized using chemical etching of silicon wafer. Influence of a silicon nitride layer on the top of the silicon nanowires solar cell has been investigated. The optical properties of a Si NWs array with and without silicon nitride passivation layer are examined in terms of optical reflection property. In the presence of silicon nitride layer, 1% reflection ratio in the spectral range (250-1000nm) is achieved. In addition, the solar cell characteristics have been significantly improved, which exhibits high short circuit current as well high efficiency. Based on the current-voltage measurements and morphology results, we show that the silicon nitride layer can passivate the defects generated by wet etching processes. Source


Masseran N.,Tech Data | Razali A.M.,Tech Data | Razali A.M.,Solar Energy Research Institute SERI | Ibrahim K.,Tech Data | And 4 more authors.
Research Journal of Applied Sciences, Engineering and Technology | Year: 2013

In almost all research fields, the procedure for handling missing values must be addressed before a detailed analysis can be made. Thus, a suitable method of imputation should be chosen to address the missing value problem. Wind speed has been found in engineering practice to be the most significant parameter in wind power. However, researchers are sometimes faced with the problem of missing wind speed data caused by equipment failure. In this study, we attempt to implement four types of single imputation methods to estimate the wind speed data fromthree adjacent stations in Malaysia. The methods, known as the site-dependent effect method, the hour mean method, the last and next method, and the row mean method, are compared based on the index of agreement to identify the best method for estimating the missing values. The results indicate that the last and next is the best of thethree methods for estimating the missing data for the wind stations considered. © Maxwell Scientific Organization, 2013. Source


Masseran N.,Tech Data | Razali A.M.,Tech Data | Razali A.M.,Solar Energy Research Institute SERI | Ibrahim K.,Tech Data | And 4 more authors.
Research Journal of Applied Sciences, Engineering and Technology | Year: 2013

Many studies have found that wind speed is the most significant parameter of wind power. Thus, an accurate determination of the probability distribution of wind speed is an important parameter to measure before estimating the wind energy potential over a particular region. Utilizing an accurate distribution will minimize the uncertainty in wind resource estimates and improve the site assessment phase of planning. In general, different regions have different wind regimes. Hence, it is reasonable that different wind distributions will be found for different regions. Because it is reasonable to consider that wind regimes vary according to the region of a particular country, nine different statistical distributions have been fitted to the mean hourly wind speed data from 20 wind stations in East Malaysia, for the period from 2000 to 2009. The values from Kolmogorov-Smirnov statistic, Akaike's Information Criteria, Bayesian Information Criteria and R2 correlation coefficient were compared withthe distributions to determine the best fit for describing the observed data. A good fit for most of the stations in East Malaysia was found using the Gamma and Burr distributions, though there was no clear pattern observedfor all regions in East Malaysia. However, the Gamma distribution was a clear fit to the data from all stations in southern Sabah. © Maxwell Scientific Organization, 2013. Source

Discover hidden collaborations