TUHH Open Research (TORE)https://tore.tuhh.deTORE captures, stores, indexes, preserves, and distributes digital research material.Fri, 27 Jan 2023 14:51:25 GMT2023-01-27T14:51:25Z5021Estimating Weibull parameters using Mabchour’s method (MMab) for wind power at RAWA City, Iraqhttp://hdl.handle.net/11420/11703Title: Estimating Weibull parameters using Mabchour’s method (MMab) for wind power at RAWA City, Iraq
Authors: Altmimi, Amani I.; Al-Swaiedi, Safaa J.; Abdullah, Oday Ibraheem
Abstract: Wind power is one of the most important sources of renewable energy. In this research paper, we developed an approach to select the optimum site among four different locations in Iraq (Talafar, Nasiriyah, Baghdad and RAWA) according to wind power density. Based on the optimization process, it was found that the RAWA city is the optimal site. We adopted Mabchour’s Method (MMab) to estimate the Weibull distribution parameters (<i>c, k</i>) for RAWA city at two heights (10 m and 50 m) for the period (2017–2019). It was found that the Mabchour technique (MMab) produced accurate results with minimum consumed time and effort. This was because the values of <i>k</i> and <i>c</i> were close to each other. Additionally, the coefficient values of the results of the Weibull measurements were very close to the average wind speeds that we measured. The values of the correlation coefficients between the Weibull scale parameters and the form were calculated and were equal to <i>R<sup>2</sup></i> = 0.9971. The minimum value of the coefficient of variation (COV) for turbulence intensity was found to be 26% in July 2018, when the wind speeds reached their maximum. The highest error of wind power density between measured data (<i>P<sub>M</sub></i>) and Weibull distribution (<i>P<sub>W</sub></i>) was found to be 4.48%, at a height of 50 m.; Wind power is one of the most important sources of renewable energy. In this research paper, we developed an approach to select the optimum site among four different locations in Iraq (Talafar, Nasiriyah, Baghdad and RAWA) according to wind power density. Based on the optimization process, it was found that the RAWA city is the optimal site. We adopted Mabchour’s Method (MMab) to estimate the Weibull distribution parameters (c, k) for RAWA city at two heights (10 m and 50 m) for the period (2017–2019). It was found that the Mabchour technique (MMab) produced accurate results with minimum consumed time and effort. This was because the values of <i>k</i> and <i>c</i> were close to each other. Additionally, the coefficient values of the results of the Weibull measurements were very close to the average wind speeds that we measured. The values of the correlation coefficients between the Weibull scale parameters and the form were calculated and were equal to R2 = 0.9971. The minimum value of the coefficient of variation (COV) for turbulence intensity was found to be 26% in July 2018, when the wind speeds reached their maximum. The highest error of wind power density between measured data (PM) and Weibull distribution (PW) was found to be 4.48%, at a height of 50 m.
Sat, 22 Jan 2022 00:00:00 GMThttp://hdl.handle.net/11420/117032022-01-22T00:00:00ZAn investigation of design and simulation of horizontal axis wind turbine using QBladehttp://hdl.handle.net/11420/13997Title: An investigation of design and simulation of horizontal axis wind turbine using QBlade
Authors: Altmimi, Amani I.; Aws, Aya; Jweeg, Muhsin Jaber; Abed, Azher M.; Abdullah, Oday I.
Abstract: The wind turbine blade design is important in obtaining an effective wind turbine. In the field of wind energy, it is essential to understand the design and parameters affecting the blades of the wind turbine in order to obtain a successful design. However, most of the parameters are dependent on each other and this makes the design of wind turbines a challenging task. This research paper used the QBlade software to analyze and optimize the behavior of the small horizontal axis wind turbine. The software applies the Blade Element Momentum Theory (BEM) to study the wind turbine blades by calculating the drag and lift coefficients which were achieved by dividing the blades into 10 ascending segments. The twist angle and chord length of the blade are optimized to get the highest performance. Among the various airfoil types, the SG-6041 airfoil type was selected to build the blade structure. The calculated power coefficient was almost 0.4, which is considered high given that it was calculated under 10 m/s average wind speed and 1-meter length blade conditions. Where all the results are logical and reasonable, the software is proven to be reliable. The paper also evaluates the wind characteristics in different locations in Iraq in order to find the most optimal promising locations in Iraq.
Thu, 13 Oct 2022 00:00:00 GMThttp://hdl.handle.net/11420/139972022-10-13T00:00:00Z