Comparison of Oceansat-2 scatterometer- to buoy-recorded winds and spatial distribution over the Arabian Sea during the monsoon period

Gadad, Sanjeev; Deka, Paresh Chandra

doi:10.1080/01431161.2015.1084436

Cited by 6 publications

(4 citation statements)

References 17 publications

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“…OSCAT wind vectors from November 2009 to December 2010 are compared with RAMA and TRITON buoys data in the Indian Ocean and the Pacific Ocean, and the results show the accuracies of wind speed are within the mission requirement, but the wind direction errors are higher than the mission requirement [10]. OSCAT surface winds for the monsoon period (June-September) of 2011 over the Arabian Sea were compared with two moored buoys, and the results show that the errors of wind speed and direction are less than 2.5 m/s and 20°, respectively [11]. e comparisons between surface wind vectors form OSCAT and global moored buoys during the period from November 1, 2009 to July 31, 2010 show that the RMSE of about 1.5 m/s in wind speed and about 20°in wind direction for the speed range 4-24 m/s [12].…”

Section: Introductionmentioning

confidence: 92%

Comparison of Oceansat-2 Scatterometer Wind Data with Global Moored Buoys and ASCAT Observation

Yang

Zhang

2019

Advances in Meteorology

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The Oceansat-2 satellite was launched on 23 September 2009 by the Indian Space Research Organization (ISRO). In this study, the historic archived OSCAT wind vectors are compared with the global moored buoys’ wind observations, including the U.S. National Data Buoy Center (NDBC), the Tropical Atmosphere Ocean (TAO), the Pilot Research Moored Array in the Tropical Atlantic (PIRATA), the Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA), and Advanced Scatterometer (ASCAT) wind data in the same period of OSCAT by calculating the statistical parameters, namely, the root mean square error (RMSE), bias (mean of residuals), and correlation coefficient (R) between the collocated data. The comparisons with the global moored buoys show that the OSCAT wind vectors are consistent with buoys’ wind measurements. The average errors of the OSCAT wind vectors are 1.20 m/s and 17.7°. The analysis of the OSCAT wind vector errors at different buoy wind speeds in bins of 1 m/s indicates that the accuracy of the OSCAT wind speed first increases and then decreases with the increasing wind speed. The comparisons of OSCAT wind vectors and ASCAT wind vectors show that the average RMSEs of their differences are 1.27 m/s and 20.17°. In general, the accuracies of the OSCAT wind vectors satisfy the general scatterometer’s mission requirement and are consistent with ASCAT wind data. OSCAT wind vectors can be used in the global change study by the combination with other scatterometer data.

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Section: Introductionmentioning

confidence: 92%

Comparison of Oceansat-2 Scatterometer Wind Data with Global Moored Buoys and ASCAT Observation

Yang

Zhang

2019

Advances in Meteorology

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“…9 show the daily radiation, wind speed, and load demand, at a site located in India which has a latitude equal 10.15 N and longitude 72.12 E normalized to their peak value. 31 It is noticed that the wind speed pattern and radiation pattern have its peak during the same period. The wind speed data were measured at a height equal to 3 m above its location and β o = 35 , H o = 30 m. Table 4 shows the results and different design combinations for this location, and Figure 10 shows the resulted power generation of the system.…”

Section: Casementioning

confidence: 97%

“…Figures8 and 9show the daily radiation, wind speed, and load demand, at a site located in India which has a latitude equal 10.15 N and longitude 72.12 E normalized to their peak value 31. It is noticed that the wind…”

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confidence: 99%

Minimum cost‐based design of isolated PV ‐wind hybrid system considering the PV tilt angle and wind turbine hub height as design parameters using genetic algorithm

2021

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The optimal sizing of a hybrid energy system may be a difficult undertaking problem because of the huge number of structure settings and the irregular nature of solar radiation and wind power sources. This issue has a place with the classification of combinatorial enhancement, and its solution dependent on the classical technique may be a waste of time. In the present paper, the generation cost of isolated PV-wind by bird system is minimized by increasing the capacity factor of the system by adjusting both of PV-tilt angle and wind turbine hub height such that the average generated power is as near as possible to the generation peak. By considering the PV-tilt angle and the turbine hub height, the diversity between the two generation patterns increases resulting in lower cost. The objective of the present paper is to find the optimal design of the PV-wind hybrid system based on minimum cost criterion using a genetic algorithm. Also, it studies the effect of considering the PV-tilt angle and wind turbine hub height as design parameters for different diversity levels of wind speed and sun irradiance patterns. K E Y W O R D Sconstraints, cost, design parameters, fitness, genes, PV tilt angle, reliability, wind turbine hub Abbreviations: δ, solar declination angle; α, solar elevation angle; θ, azimuth angle; ;, location latitude; ω, hour angle; β, panel surface tilt angle; ε, roughness ingredient factor; σ, discharge rate; η BC , charging efficiency; η BD , discharging efficiency; C B , battery cost; C Br , battery replacement cost; C d , diesel cost; C dc , diesel capital cost; C fuel , fuel cost; C pvc , capital cost of PV; C pvm , maintenance cost of PV; C wtc , capital cost of wind turbine; C wtm , maintenance cost of wind turbine; C pvw , cost of PV/wind system; CRF, capital recovery factor; D f , hourly fuel consumption; E B (t), battery capacity kWh at time t; E B , battery energy (Wh); f 1, derating factor; f, inflation rate; h d , diesel total operation hours; H wt , wind turbine hub height; i, interest rate; I o , solar insulation at standard conditions; N, project lifetime; nn, day julian number; nb, battery lifetime; N B , number of batteries; N D , number of diesels; N pv

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“…Fig. 8 shows the daily radiation, wind speed, and load demand, at a site located in India which has a latitude equal 10.15° N and longitude 72.12° E normalized to their peak value [28]. The wind speed data was measured at a height equal to 3 meters above its location.…”

Section: Casementioning

confidence: 99%

The Most Economical Design of Hybrid PV/Wind/Battery/Diesel Generator Energy System Considering Various Number of Design Parameters Based on Genetic Algorithm

Ahmed

Albarawy

Ibrahim

2021

Fayoum University Journal of Engineering

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The optimal sizing of a hybrid energy system may be a difficult undertaking problem, because of the huge number of structure settings and the irregular nature of solar radiation and wind power sources. This issue has a place with the classification of combinatorial enhancement, and its solution dependent on the classical technique may be a waste of time. This paper proposes a Genetic Algorithm (GA) methodology to find the optimal sizing of a hybrid Photovoltaic, Wind Turbine, Battery Storage, and Diesel Generators (PV/WT/BA/DG) energy system based on the number of PV modules, the number of wind turbines, the number of batteries, the number of diesel generators, the slope angle of PV panel and a hub height of wind turbine as the design parameters and study its effect on the Levelized Cost of Energy (LCOE). The proposed method aims to minimize the LCOE with high reliability of load supplying by increasing the design variables gradually. The proposed method will be tested at different sites with various metrological data to ensure its robustness. The results show that the LCOE decreases as the design parameters increase, also that the average wind-speed is inversely proportional to the LCOE of the site under study.

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Comparison of Oceansat-2 scatterometer- to buoy-recorded winds and spatial distribution over the Arabian Sea during the monsoon period

Cited by 6 publications

References 17 publications

Comparison of Oceansat-2 Scatterometer Wind Data with Global Moored Buoys and ASCAT Observation

Comparison of Oceansat-2 Scatterometer Wind Data with Global Moored Buoys and ASCAT Observation

Minimum cost‐based design of isolated PV ‐wind hybrid system considering the PV tilt angle and wind turbine hub height as design parameters using genetic algorithm

The Most Economical Design of Hybrid PV/Wind/Battery/Diesel Generator Energy System Considering Various Number of Design Parameters Based on Genetic Algorithm

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