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This research aims to contribute to ending the electricity crisis in Iraq, as it is country rich in solar energy due to its location close to the equator. Electric power stations, which use traditional fuels, are unable to provide the population's electricity needs throughout the day. Moreover, electricity distribution lines sometimes malfunction due to high temperatures. This paper recommends solar energy as an optimal solution to the electricity problem in Iraq. Because it is renewable and environmentally friendly. The paper also focused on techniques that would improve the efficiency of the solar power system. This was achieved by designing and building a solar tracking system to absorb the largest possible amount of solar energy and increase electrical energy production, in addition to building a cooling system consisting of a small pump and nozzles that pump water in the form of a volatile mist to get rid of excess heat from the solar panels at the temperature It rises to extreme levels. The system is also equipped with a cleaning mechanism to rinse the solar panel once, which is harmful to getting dirt and dust because dust is the negative factor that affects the generation capacity of the solar panels. The solar tracking system and the cleaning system are operated by a control unit made in the local markets that work with the Internet of Things (LOT) system and is programmed in the Python language and depends on data completely on the Internet. As for the cooling system, it supplies energy during the day directly from the solar panel, depending on the temperature sensor. The results reveal that the solar tracking, cooling, and cleaning system has significantly improved the production capacity of the solar system and can achieve an energy gain of 39.68%. [ABSTRACT FROM AUTHOR]

At present, some renewable energy researchers have their attention directed toward the possibilities of harnessing the tornado energy concept by creating an artificial vortex utilizing solar energy for electrical power generation. Given this concept trend, a new Solar Vortex Engine (SVE) was proposed, designed, and simulate at the University of Technology – Iraq (UOT). In this paper, a computational simulation was used in the ANSYS 2020 R1 program to simulate the influence of solar intensity on the vortex updraft velocity generated. Initial boundary parameters have been included for SVE geometry, intake velocity, and different solar radiation (400, 700, and 1000) W/m2, while the outlet parameter is listed as a vortex updraft velocity. The CFD results and validation showed the direct effects of radiation concentration on the air velocity of the ascending vortex, which increased by 37% when the solar intensity went from 400 W/m2 to 1000 W/m2. [ABSTRACT FROM AUTHOR]

Electricity is one of the most important energy resources used for human comfort. Its generation is very expensive, so it must be carefully managed. Energy management is a key to well-used electrical grid, especially in developing countries, including Iraq, which face significant challenges such as frequent outages. The grid's main feature is good management with integration of renewable energies. Photovoltaic (PV) energy systems are widely used in variety of applications. It provides an alternative solution for energy self-sufficiency, and it is also possible to share the surplus with the grid. However, the PV system is temperature and solar radiation dependent, which is regarded as a disadvantage due to weather changes. At demand response (DR), the energy produced by the PV system may have a surplus or a shortfall of electric power resulting in either loss or no energy use or service interruptions. This problem of intermittency is overcome by hybridization. Thus, if the primary source is unable to meet the entire DR, the secondary source will take over the re-possibility of supporting. In this paper, a PV-Battery-Grid system is designed, tested and modelled by MATLAB program to integrate solar energy, bank of batteries, loads and grid. The proposed system pro-vides and manages generated energy by sharing it to loads and grid. Furthermore, the total harmonics distortion values of output inverter current, ac load current, and grid current were 2.16%, 0.18%, and 0.89% respectively. [ABSTRACT FROM AUTHOR]

The solar energy has some kind of effects in many fields connected to the human life as health, electricity generation and industrial, in a lot of countries around the world. Iraq is one of the countries, which has a large amount of the solar radiation throughout a year that can be invested to compensate the shortfall in the electric power particularly. In this paper, the analysis models in the four years from 2017 to 2020 are applied to estimate the amounts of the daily solar radiation using Multiple Linear Regression (Mtp_LR) method in Anbar, Iraq. Furthermore, two climate variables relative humidity (%) and air pressure Pascal unit (Pa) have been implemented as an input dataset to the predictive models. The results are evaluated via two statistical indicators Root Mean Square Error (RMSE) and Relative Root Mean Square Error (RRMSE). The models of the four years acquire remarkable accuracy in solar energy forecasting with RMSE values of the statistical indicators RMSE (0.8915, 1.0827, 0.7757 and 0.5055) kilowatt hours per square meter (kWh/m2) in 2017, 2018, 2019, and 2020 respectively, that determines a strong estimation outcome with the best relationship between the independent variables. [ABSTRACT FROM AUTHOR]