Modeling and Simulation of Solar Photovoltaic Cell for the Generation of Electricity in UAE

This paper proposes the implementation of a circuit based simulation for a Solar Photovoltaic (PV) cell in order to get the maximum power output. The model is established based on the mathematical model of the PV module. As the PV cell is used to determine the physical and electrical behavior of the cell corresponding to environmental factors such as temperature and solar irradiance, this paper evaluates thirty years solar irradiation data in United Arab Emirates (UAE), also analyzes the performance parameters of PV cell for several locations. Based on the Shockley diode equation, a solar PV module is presented. However, to analyze the performance parameters, Solarex MSX 120, a typical 120W module is selected. The mathematical model for the chosen module is executed in Matlab. The consequence of this paper reflects the effects of variation of solar irradiation on PV cell within UAE. Conclusively, this paper determines the convenient places for implementing the large scale solar PV modules within UAE.Comment: To be published in 5th International Conference on Advances in Electrical Engineering (ICAEE-2019

Education and Economic Growth: A Case Study of Australia

The purpose of this paper is to measure the contribution of education to growth in per capita real GDP in Australia over the period 1969-2003 using the growth accounting method. Also estimated is the contribution of total factor productivity to growth. Over the period, per capita real GDP in Australia increased by 1.9 percent per annum. Of this, about 31 percent was contributed by education. This finding has important implications for policy makers in Australia. For example, in order to promote economic growth in coming years, access to post compulsory education, particularly vocational education and training and higher education, for all Australians should be made easier and cheaper. This contradicts recent trends at the federal level towards increasing the student share of education costs.Growth Accounding, Education, Economic Growth

Structural health monitoring of Attridge Drive overpass

Vibration-based damage detection (VBDD) comprises a family of non-destructive testing methods in which changes to dynamic characteristics are used to track the condition of a structure. Although VBDD methods have been successfully applied to various mechanical systems and to simple beam-like structures, significant challenges remain in extending this technology to complex, spatially distributed structures such as bridges. In the present study, numerical simulations using a calibrated finite element model were used to investigate the use of VBDD methods to detect small-scale damage on a two-span, integral abutment overpass structure located in Saskatoon, Saskatchewan. The small scale damage was defined in this study as the removal of a concrete element from the top surface of the bridge deck, resembling the spalled clear cover of concrete deck of the overpass. Five different VBDD techniques were evaluated, including the Change in Mode Shape, Change in Flexibility, Change in Mode Shape Curvature, Change in Uniform Flexibility Curvature and Damage index methods. In addition, the influence of the size of damage, the orientation of damage geometry, sensor spacing (3 m, 5 m and 7.5 m), the approach used for mode shape normalization, and uncertainty in the measured mode shapes was investigated. It was found that localized damage could be reliably detected and located if the sensors were located within 3 m of the damage (the distance between adjacent girders) and if uncertainty in the mode shapes was attenuated through the use of a sufficient number of repeated trials. Furthermore, studies using a limited sensor installation that could be achieved without interrupting the flow of traffic indicated that small scale damage could be detected and potentially located using sensors that are placed well away from the damaged area, provided uncertainty in mode shape was attenuated

Symmetries in the time-averaged dynamics of stochastic models of networks dynamics

In recent years a large body of research has investigated the dynamics of complex networks, including percolation [1, 2], epidemics [3, 4], synchronization [5, 6], evolutionary game theory [7, 8], and traffic dynamics [9, 10, 11]. These study apply to technological networks, biological networks, and social networks. In general, it has been shown that the topology of these networks (e.g. the degree distribution [12, 13], degree correlation [14, 15], community structure [16], etc.) plays a significant role in their dynamical time evolution

Remittances and Economic Growth: Empirical Evidence from Bangladesh India and Sri Lanka

In many developing countries, remittance payments from migrant workers are increasingly becoming a significant source of export income. This paper investigates the causal link between remittances and economic growth in three countries, Bangladesh, India and Sri Lanka, by employing the Granger causality test under a VAR framework (Granger 1988). Using time series data over a 25 year period, we found that growth in remittances does lead to economic growth in Bangladesh. In India, there seems to be no causal relationship between growth in remittances and economic growth; but in Sri Lanka, a two-way directional causality is found; namely economic growth influences growth in remittences and vice-versa. The paper also discusses a number of policy issues arising from the results of the analysis in relation to remittances in association with liberalisation of financial institutions, gender issues, regulation and enforcement, investment and savings schemes, and promotion and education.