A new strategy for wind turbine selection using optimization based on rated wind speed

Sedaghat, Ahmad; Alkhatib, Fadi; Eilaghi, Armin; Sabati, Mohamad; Borvayeh, Leila; Mostafaeipour, Ali

doi:10.1016/j.egypro.2019.02.209

Cited by 29 publications

(20 citation statements)

References 21 publications

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“…Because of the use of a wind machine with lower rated speed would generate more energy yield during the year than a wind machine with greater rated speed [36]. Mean…”

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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“…Because of the use of a wind machine with lower rated speed would generate more energy yield during the year than a wind machine with greater rated speed [36]. Mean…”

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%

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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“…Dinmohammadi and Shafiee [35] developed a hybrid approach combining AHP and TOPSIS while considering bottom fixed, floating, vertical-axis, horizontal-axis, gearbox-operated, and gearless wind turbines. Sedaghat et al [19] proposed a turbine selection model while using the levelized cost of electricity, capacity factor, and normalized annual energy production as the decision criteria. The underlying technique was based on the concept of Pareto ranking to select the best turbine.…”

Section: Literature Reviewmentioning

confidence: 99%

“…These criteria include hub height, wind speed, percentage of zero power, percentage of rated power, and net capacity factor. The importance of these criteria is endorsed by several previous studies [19][20][21][22][23].…”

mentioning

confidence: 94%

“…One more aspect that makes fuzzy logic an attractive choice for the multi-criteria turbine selection problem is computational efficiency of the technique. Many studies [14][15][16][17][18][19] have used algorithms, such as genetic algorithms, differential evolution, and particle swarm optimization, which are promising in producing efficient solution, but at the expense of computational efficiency. In contrast, fuzzy logic is not only effective in producing quality solutions, but is also computationally efficient.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Rule-Based Fuzzy Logic Methodology for Multi-Criteria Selection of Wind Turbines

2020

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The domain of renewable energy has seen tremendous growth in the past many years. This growth has shown optimism for a sustainable future and promises to lead the human race towards a cleaner and healthier environment. Wind energy, which is a vital part of this clean energy revolution, has received significant attention globally. To get benefit from wind energy, wind farms need to be developed with the highest efficiency so that the maximum energy can be harnessed. A key decision in this development process is selection of a turbine type that shows highest compatibility with the geographical and topographical features of the site where the turbines are to be installed. In practical terms, the turbine selection mechanism should consider several decision criteria. In many cases, these criteria are conflicting with each other. Furthermore, the choice and aspirations of the decision-maker who selects these turbines should be considered in the selection process and should be flexible. This paper presents a preliminary study on a rule-based turbine selection methodology which is based on the concepts of fuzzy logic. The proposed methodology analyzes several scenarios in conjunction with the turbine selection model. The applicability of the methodology is demonstrated via two test scenarios. Data from a real potential site in Saudi Arabia were used, and 17 turbines from different manufacturers and with rated capacities in range of 1.5–3 MW were evaluated. The results indicate that the proposed scheme is able to incorporate decision-maker’s aspirations and effectively reflects these aspirations in the turbine selection process.

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A new strategy for wind turbine selection using optimization based on rated wind speed

Cited by 29 publications

References 21 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

A Rule-Based Fuzzy Logic Methodology for Multi-Criteria Selection of Wind Turbines

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