Matching the Characteristics of Low Wind Speed Turbines with Candidate Wind Regimes

Mathew, Sathyajith; Lim, Chee Ming; Petra, Mohammad Iskandar; Philip, Geeta Susan; Noorfathin, Maziyyah; Mathew, Manuel S.; Raj, Veena

doi:10.1016/j.egypro.2016.09.071

Cited by 12 publications

(7 citation statements)

References 4 publications

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“…This is caused by the cut-in speed is 3 m/s for Senvion MM100 whilst for other units 3.5 m/s. Since the electric power from the wind turbine is ruled by the design characteristics such as cut-in speed, which is the minimum limit of wind speed required to begin delivering advantageous energy [35].…”

Section: Wind Turbine Productivity To Select the Best Fitmentioning

confidence: 99%

Technical and Economic Feasibility of the First Wind Farm on Egypt's Mediterranean Sea Coast

Ahmed¹

2021

Preprint

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Recently, the utilization of wind turbines in the production of clean energy has been increased to achieve sustainable electricity supply, as planned by the government of Egypt through the use of renewable resources like wind power. This paper purposed to assess the wind power potential for the coastal area in Sidi Barrani province, a meteorological station with mast of 10 m was constructed near the Mediterranean Sea shore in Egypt. The density of wind power was assessed at the level of 100 m monthly and seasonally after taking into account the correction of air density. On the annual basis, the station is rated with high potential 441 kW/m2. This is an ideal location for large-scale wind turbine to generate sustainable electricity. A performance assessment was executed using three commercialized wind generators having capacity of 2000 kW from different manufacturers and were also equal in height and rotor diameter, for choosing the best unit suitable for the target area. The economic analysis of a 200 MW coastal wind farm in the studied area was done using the advanced method of present value costs. The findings prove that the proposed project could produce approximately 988 GWh per year of electrical energy with an economic price of 1.7 US cents per kWh. Consequently, this huge sustainable electrical energy produced from this project can be transferred to Southern European countries along the Mediterranean, because it is relatively more than the Egypt's needs. It also limits the burning of local petroleum products, as well as stopping the emission of thousands of tons of carbon annually.

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Section: Wind Turbine Productivity To Select the Best Fitmentioning

confidence: 99%

Technical and Economic Feasibility of the First Wind Farm on Egypt's Mediterranean Sea Coast

Ahmed¹

2021

Preprint

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“…As mentioned in section 1, the typical model of the wind turbine consists of two main performance regions. The output power of the wind turbine in both performance regions is given by [8,[15][16][17]:…”

Section: Derivation Of Energy Generated By the Wind Turbinementioning

confidence: 99%

“…Practically, several factors affect the n-coefficient. Some of these factors are based on the type of the wind turbine [8,18]. Others are based on the aerodynamic behaviour of the wind turbines [18,19].…”

Section: Derivation Of Energy Generated By the Wind Turbinementioning

confidence: 99%

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Comparative study between measured and estimated wind energy yield

Al-Quraan¹,

Al-Mahmodi²,

Radaideh³

et al. 2020

Turk J Elec Eng & Comp Sci

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This paper proposes a power-speed (P-V) model of the wind turbine by assuming three different functions for the first performance region; cubic, quadratic and uncorrected cubic. These three functions have been compared with the manufacturer models of five different wind turbines which were installed in five different locations in Jordan; Tafila, Hofa, Fujeij, Al Rajef, and Deahan. The wind turbine of these wind farms are considered as large scale HAWT in the range of Mw. The generated P-V models are developed by applying a new method described in this paper which is basically based on generating a multiplier factor x. In this study, the quadratic model shows the highest correlation compared with the other models. The wind energy yield for the selected wind farms has been estimated by a mathematical modelling based on Rayleigh distribution function, derived in this paper. The energy yield using this mathematical model has been compared with the measured energy output of four wind farms, Tafila, Hofa, Al Rajef, and Deahan. The measured energy were provided by the operators of these wind farms which are: Jordan Wind Project Company(JWPC), Central Electricity Generation Company (CEGC), Green Watts Renewable Energy (GWRC)and Korean Southern Power Company(KOSPO). Results show that the estimated energy using the quadratic wind turbine model for all wind farms are very close to the actual output. Accuracy analysis for the quadratic model resulted in an error of less than 10 % between the measured and estimated energy output for all wind farms. The capacity factors for the selected wind farms have been estimated using the quadratic P-V model. Results show that Tafila wind farm has the highest capacity factor which is around 47 % .

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“…Therefore, the BAU scenario is not applicable to offshore turbines in this paper. Onshore turbines are mostly installed on low wind sites and are associated with small generator designs compared to the size of the rotor (Mathew et al 2016). The average size of a wind turbine in 2050 is therefore expected not to exceed the current biggest wind turbine adapted to low wind sites, which is the E-141 EP4 model.…”

Section: Business-as-usual (Bau)mentioning

confidence: 99%

Raw metal needs and supply risks for the development of wind energy in Germany until 2050

Shammugam

Gervais

Schlegl

et al. 2019

Journal of Cleaner Production

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Facilitated by the environmental goals set by the government, wind turbines will be one of the main pillars of the future electricity production in Germany. In this paper, a comprehensive assessment of the future metallic raw material requirements for the development of the German wind energy sector was conducted, which is closely based on the current and future market conditions. Copper and dysprosium are identified as the most critical materials since they face the possibility of supply bottlenecks while being fundamental to the functionality of wind turbines. While the cumulative demand for copper may require 0.2% of the current known reserves, the demand for dysprosium may reach up to 0.6% of the reserve levels. Both metals clearly exceed the allocations for renewable energy technologies in Germany and would face strong competition from other sectors in securing raw materials. Although recycling is able to reduce the bottleneck risks, it does not completely mitigate them. More efforts are therefore required to improve material efficiency by means of alternative turbine designs, efficient production techniques, highly reliable components and material substitution.

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Matching the Characteristics of Low Wind Speed Turbines with Candidate Wind Regimes

Cited by 12 publications

References 4 publications

Technical and Economic Feasibility of the First Wind Farm on Egypt's Mediterranean Sea Coast

Technical and Economic Feasibility of the First Wind Farm on Egypt's Mediterranean Sea Coast

Comparative study between measured and estimated wind energy yield

Raw metal needs and supply risks for the development of wind energy in Germany until 2050

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