Al Sohar, Oman
Al Sohar, Oman

Sohar University was established in 2001 as the first private university in Oman. It was granted degree awarding powers by the Oman Ministry of Higher Education, with the authority to provide programs and courses whose successful completion leads to academic awards. Wikipedia.


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Kazem H.A.,Sohar University | Chaichan M.T.,University of Technology, Iraq
Renewable and Sustainable Energy Reviews | Year: 2012

Iraq suffers from electricity shortages, and many challenges will have to be overcome to meet future increases in electrical demands. This investigation found that solar, wind and biomass energy are not being utilized sufficiently at present, but these energies could play an important role in the future of Iraq's renewable energy. Additionally, the potential of offshore-wind energy in the Gulf (near Basrah in the southern part of Iraq) needs to be investigated. The Iraqi government's attempts to utilize renewable energy have been discussed. This paper aims to review and discuss the status and future of renewable energy in Iraq. The uses of renewable energy sources, such as solar, wind and biomass, have been reviewed. This paper concludes with recommendations for the utilization of these energy resources. © 2012 Elsevier Ltd.


Al-Mansoori M.H.,Sohar University | Mahdi M.A.,University Putra Malaysia
Optics Express | Year: 2011

We demonstrate a widely tunable L-band multiwavelength Brillouin-erbium fiber laser utilizing a nonlinear amplified fiber loop mirror filter (AFLMF). By manipulating polarization controllers placed in the fiber loop, the erbium peak gain spectrum is able to be shifted. The nonlinear AFLMF induces wavelength-dependent cavity loss and serves as an amplitude equalizer. In addition, it provides flexibility on controlling the amount of light reflected and transmitted into and out of the laser's cavity. By utilizing 100 mW 1480 nm pump and 1.1 mW Brillouin pump power, an average of 24 stable output channels are generated by the proposed structure that could all be tuned over the whole L-band window from 1570 nm to 1610 nm. © 2011 Optical Society of America.


Khatib T.,Sohar University | Sopian K.,National University of Malaysia | Kazem H.A.,Sohar University
Energy Conversion and Management | Year: 2013

This paper presents a field operation experience for a grid connected PV system under tropical climate. The system is consisted of a 5 kWp photovoltaic (PV) array and a 6 kW DC/AC inverter. The operation performance data are recorded in order to develop accurate mathematical models for the system as well as to evaluate the productivity of the system. The experiment results show that, the average PV performance (the ratio of the theoretical performance to the actual performance) is 73.12% while the average inverter performance (the ratio of the theoretical inverter efficiency to the actual inverter efficiency) is 98.56%. Moreover, it is found that the daily yield factor of the PV system is 2.51 kW h/kWp day while, the capacity factor is 10.47%. However, it is concluded that the productivity of the system is below the prospected rate and thus, an inspection of the system must be done in order to diagnose the problem of the system's low productivity. This paper presents worthwhile information for those who are interested in PV system installation in Malaysia and nearby country.


Kazem A.A.,University of Baghdad | Chaichan M.T.,UOT | Kazem H.A.,Sohar University
Renewable and Sustainable Energy Reviews | Year: 2014

The term Dust is called for any substance that spreads in the air which includes soil and dust particles (suspended dust), smoke, fog and particulate matters. It is formed from organic and inorganic substances of terrestrial origin. Such substances are like sand storms, factory smoke, bacteria, pollen, Forrest fires and volcanoes vapors. Also, they include solid atmospheric particles that stay suspended in the air for long periods, and that are able to move with wind movements for long distances. It represents large differences in volume, shape, distribution and concentrations. Dust-storms are an environmental phenomenon that transcends boundaries and their growing intensity and frequency-as a result of increasing desertification and decreasing vegetation coverage-has a tremendous negative impact on national and regional human and socio-economic development. In this study, a review of Iraqi geographical and meteorically characteristics will be made. In addition, a review of the human activities that increased desertification in Iraq areas that reflects on increasing sand and dust storms in the country will also be reviewed. The focus on dust causes, types and specifications was a priority in order to analyze its effects on PV systems. PV systems performance is affected by dust and dust storms highly influence the energy collected. A comprehensive review for the effect of dust on PV in Iraq is represented to researchers; designers and engineers dealing with PV systems in Iraq. © 2014 Elsevier Ltd.


This study seeks to examine to what extent traffic information can improve the prediction of surface ozone levels from mobile sources when coupled with a state of the art air quality monitoring system and the application of data mining tools. For the purpose of the experiment an open-path Deferential Optical Absorption Spectroscopy (DOAS) instrument is used and 10 min video samples obtained from Sohar's main highway (SHW) (Sultanate of Oman). This traffic information is collated to recognize, classify, and count three types of vehicles passenger car; light duty vehicle; and heavy duty vehicle. The DOAS is deployed to measure the following gases; ambient nitrogen dioxide (NO2); ozone (O3); sulfur dioxide (SO2); and BTX (benzene, toluene, xylene) across SHW. The ambient concentrations of these gases are measured in situ at time resolutions that vary from 30 s to 1 min along with simultaneous measurements of meteorological parameters. The Waikato Environment for Knowledge Analysis (WEKA) (Witten and Frank, 2005) software was used for the data mining part of the study. To identify which classifiers in WEKA would be the most suitable in predicting surface O3 levels the following five indexes were used: correlation coefficient (CC); mean absolute error (MAE); root mean square error (RMSE); relative absolute error (RAE); and root relative squared error (RRSE). It was found that the Bagging and M5P classifiers were the most robust when compared to others within the software when measured against the fives indexes. It was identified that with the additions of time and day of the week as well as changing of the parameters as part of the classifiers in WEKA the robustness of the predictions was not enhanced significantly. However, the findings did illustrate that the analysis of traffic information does improve the robustness of the prediction of surface O3 levels. © 2015 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.


Kazem H.A.,Sohar University | Khatib T.,Sohar University | Sopian K.,National University of Malaysia
Energy and Buildings | Year: 2013

This paper presents a method for optimal sizing of a standalone PV system for remote areas in Sohar, Oman. PV array tilt angle as well as the size of the system's energy sources are designed optimally for better performance and lower energy cost. Numerical methods for optimization of the PV module tilt angle, PV array size and storage battery capacity are implemented using MATLAB and hourly meteorological data and load demand. The results show that for Sohar zone the tilt angle of a PV array must be adjusted twice a year. The PV array must be slanted at 49° in the period of 21/09-21/03 (n = 255-81), while it must be horizontal (tilt angle is zero) in the period of 21/03-21/09 (n = 81-255). This adjustment practice gains the energy collected by a PV array by 20.6%. As for the PV system size, the results show that the sizing ration of the PV array for Oman is 1.33 while the sizing ratio for battery is 1.6. However the cost of the energy generated by the proposed system is 0.196 USD/kWh. © 2013 Elsevier B.V.


Nawahda A.,Sohar University
Environmental Monitoring and Assessment | Year: 2015

Ground level ozone (O3) concentrations were measured across Sohar highway in Oman during a four-month period from September to December 2014 by using an open-path deferential optical absorption spectroscopy (DOAS) instrument. The monthly average concentrations of O3 varied from 19.6 to 29.4 ppb. The measurements of O3 are compared with the measurements of a non-open-path UV photometry analyzer (UVP). The percent difference (PD) concept and linear regression methods were used to compare the readings of the two instruments. The findings show high correlation coefficients between the measurements of the DOAS and UVP instruments. The DOAS measurements of O3 are found to be less than those measured by the UVP instrument; the correlation coefficients between absolute PD values and meteorological parameters and PM2.5 were very low indicating a minor effect; therefore, titrations of O3 by traffic emissions and difference in elevation could be the reason for the difference in the measurements of the two instruments. © 2015, Springer International Publishing Switzerland.


Amin N.,Sohar University
Water, Air, and Soil Pollution | Year: 2014

In Japan, all 47 prefectures conduct routine air quality monitoring at 1,145 stations throughout the country to assess the effects on the environment. The current study aims to provide a better understanding of possible estimations of crop yield loss caused by exposure to monitored concentrations of surface ozone in Japan during the key ozone-season months from April to December 2005. The effect of surface ozone on the irrigated rice crop in Japan is evaluated based on the AOT40 index (accumulated exposure over threshold of 40 ppb) during 3-month periods of the growing season. Assuming no changes in land use and field management practices during the period from 2000 to 2005, we find that the estimated average relative yields of the irrigated rice crop is 91 % caused by exposures to monitored surface ozone concentrations. These losses in the relative yield of the irrigated rice crop in Japan in 2005 could cost around 280.4 million (int. /). © Springer Science+Business Media Dordrecht 2013.


Saravanan N.,Sohar University | Ramachandran K.I.,Sohar University
Expert Systems with Applications | Year: 2010

An efficient predictive plan is needed for any industry because it can optimize the resources management and improve the economy plant, by reducing unnecessary costs and increasing the level of safety. A great percentage of breakdowns in the productive processes are caused for gear box, they began its deterioration from early stages, also called incipient level. The extracted features from the DWT are used as inputs in a neural network for classification purposes. The results show that the developed method can reliably diagnose different conditions of the gear box. The wavelet transform is used to represent all possible types of transients in vibration signals generated by faults in a gear box. It is shown that the transform provides a powerful tool for condition monitoring and fault diagnosis. The vibration signal of a spur bevel gear box in different conditions is used to demonstrate the application of various wavelets in feature extraction. In this paper fault diagnostics of spur bevel gear box is treated as a pattern classification problem. The major steps in pattern classification are feature extraction, and classification. This paper investigates the use of discrete wavelets for feature extraction and artificial neural network for classification. © 2009 Elsevier Ltd. All rights reserved.


Kazem H.A.,Sohar University
Renewable and Sustainable Energy Reviews | Year: 2011

This paper attempts to review and discuss the status and future prospects of renewable energy in Oman. Renewable energy sources like solar, wind, hydro, geothermal, and biomass have been revised. The electricity shortages and the challenges to overcome the increase in electrical demands for the near future have been discussed. The investigations found that solar, shore-wind and geothermal could play an important role in the future of renewable energy in country. Also, it is found that there is need to investigate the potential of offshore-wind, biomass, and hydro (tide, wave and ocean thermal energy). The appearance and weight of renewable energy in the higher education programs and the Oman commitment toward renewable energy have been discussed. The paper finishes with some conclusions and recommendations. © 2011 Elsevier Ltd. All rights reserved.

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