This paper aims to develop an analytical model for the prediction of the electricity produced in a Photovoltaic Power Station (PVS). In this context, the developed mathematical model is implemented in a Simulink Model. The obtained simulation results are compared to the experimental data, the results obtained from the software Homer-Pro model, and the results given by the online PV calculator (Photovoltaic Geographical Information System), developed by the European commission. The comparison results show the reliability of the developed analytical model for specific months of the year. However, an error of 10% between simulations and experimental results is observed for July and August. This error is mainly due to the effects of humidity and dust that were not considered in the analytical model. Nevertheless, the monthly and yearly produced electricity values show the robustness of the proposed model to predict the PVS generated power. The developed model will be used as a powerful tool for data prediction and the optimization of electricity generation. This permits us to reduce the losses in power generation by optimizing the connected generating power stations to the power grid.

Diesel generators are being used as a source of electricity in different parts of the world. Because of the significant expense in diesels cost and the requirement for a greener domain, such electric generating systems appear not to be efficient and environmentally friendly and should be tended to. This paper explores the attainability of utilizing a sustainable power source based on a cross-breed electric system in the cement factory in Salalah, Oman. The HOMER software that breaks down the system setup was utilized to examine the application and functional limitations of each hybridized plan. The result showed that a renewable-energy (RE)-based system has a lower cost of energy (COE) and net present cost (NPC) compared to diesel generator-based hybrid electric and standalone systems. Although the two pure renewable hybrid energy systems considered in this study displayed evidence of no emissions, lower NPC and COE values are observed in the photovoltaic/battery (PV/B) hybrid energy system compared with photovoltaic/wind turbine/battery (PV/WT/B). The PV/WT/B and PV/B systems have higher electricity production and low NPC and COE values. Moreover, the PV/B has the highest return on investment (ROI) and internal rate of return (IRR), making the system the most economically viable and adjudged to be a better candidate for rural community electrification demands.

Generation of electrical power from renewable energy resources is highly encouraged through different policies established by governmental authorities in Oman. This paper deals with the analysis of the cost of stand-alone and grid connected roof top photovoltaic systems in the south of Oman. This region is characterized by its high solar energy potential. It is well known that the prices of PV panels and batteries have decrease during the last 10 years. The cost of renewable energy projects is remarkably affected by this break down of PV panel’s prices. An optimization is performed using the software Homer to analyze the cost of the optimal PV system required to generate the energy consumed by the load. The sizes of the required PV panels, inverters and batteries are calculated based on the load profile variation and solar irradiations at the site. The optimization results show that the size of the required PV panels is 13 kWp. The total cost of the project is about 16 650 €. The PV system allows producing 25053 kWh per year. The grid connected PV panels system represents the optimum solution. It has the lowest initial cost and the lowest cost of energy.

Diesel generators have long been in use in rural communities despite, the impact of emission caused by these generators to the environment. Due to the need for a greener environment, such electric generating systems seem not to be environmentally friendly and need to be addressed.Connection to the grid can also be expensive. This paper investigates the feasibility of employing hybrid electric system in rural communities. The HOMER software that analyzes system configuration was used to study the application and functional limitation of each hybridised arrangement. The result showed that the solar renewable energy (RE) based system has lower cost of capital cost, replacement cost and O&M cost with higher energy production compared to grid connected system, making the solar RE system most economically viable and a better candidate for the rural community electrification demands.