MIDAS: A Benchmarking Multi-Criteria Method for the Identification of Defective Anemometers in Wind Farms

Rabanal, Arkaitz; Ulazia, Alain; Ibarra-Berastegi, Gabriel; Sáenz, Jon; Elosegui, Unai

doi:10.3390/en12010028

Cited by 27 publications

(17 citation statements)

References 36 publications

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“…The relevance of these values is indubitable if they are compared with other kind of losses in wind energy related to important technical problems. For instance, the authors have studied the effect of pitch misalignment and defective anemometers in wind turbines, and the order of magnitude of energy losses is quite similar [9,67]. This comparative fact emphasizes the economical relevance of seasonal energy variations due to air density changes.…”

Section: Discussionmentioning

confidence: 95%

Seasonal Correction of Offshore Wind Energy Potential due to Air Density: Case of the Iberian Peninsula

et al. 2019

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A constant value of air density based on its annual average value at a given location is commonly used for the computation of the annual energy production in wind industry. Thus, the correction required in the estimation of daily, monthly or seasonal wind energy production, due to the use of air density, is ordinarily omitted in existing literature. The general method, based on the implementation of the wind speed’s Weibull distribution over the power curve of the turbine, omits it if the power curve is not corrected according to the air density of the site. In this study, the seasonal variation of air density was shown to be highly relevant for the computation of offshore wind energy potential around the Iberian Peninsula. If the temperature, pressure, and moisture are taken into account, the wind power density and turbine capacity factor corrections derived from these variations are also significant. In order to demonstrate this, the advanced Weather Research and Forecasting mesoscale Model (WRF) using data assimilation was executed in the study area to obtain a spatial representation of these corrections. According to the results, the wind power density, estimated by taking into account the air density correction, exhibits a difference of 8% between summer and winter, compared with that estimated without the density correction. This implies that seasonal capacity factor estimation corrections of up to 1% in percentage points are necessary for wind turbines mainly for summer and winter, due to air density changes.

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Section: Discussionmentioning

confidence: 95%

Seasonal Correction of Offshore Wind Energy Potential due to Air Density: Case of the Iberian Peninsula

et al. 2019

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“…Additionally, a novel validation method for anemometers developed by the authors in a recent study for wind farms [56] will be very beneficial since it enables the comparison and combination of data from more than one anemometer installed on the roof of the building. This allows us to consider both the zonal and meridional components in a single comparison score.…”

Section: Conclusion and Future Outlookmentioning

confidence: 99%

An Energy Potential Estimation Methodology and Novel Prototype Design for Building-Integrated Wind Turbines

et al. 2019

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ROSEO-BIWT is a new Building-Integrated Wind Turbine (BIWT) intended for installation on the edge of buildings. It consists of a Savonius wind turbine and guiding vanes to accelerate the usual horizontal wind, together with the vertical upward air stream on the wall. This edge effect improves the performance of the wind turbine, and its architectural integration is also beneficial. The hypothetical performance and design configuration were studied for a university building in Eibar city using wind data from the ERA5 reanalysis (European Centre for Medium-Range Weather Forecasts’ reanalysis), an anemometer to calibrate the data, and the actual small-scale behavior in a wind tunnel. The data acquired by the anemometer show high correlations with the ERA5 data in the direction parallel to the valley, and the calibration is therefore valid. According to the results, a wind speed augmentation factor of three due to the edge effect and concentration vanes would lead to a increase in working hours at the rated power, resulting annually in more than 2000 h.

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“…The use of these additional variables requires two more constraints (6), (7) [34]. The output power of the WF system is bounded by (8).…”

Section: Mathematical Modelmentioning

confidence: 99%

Multi-Objective Optimization for Determining Trade-Off between Output Power and Power Fluctuations in Wind Farm System

et al. 2019

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In this paper, a multi-objective optimization method is proposed to determine trade-off between conflicting operation objectives of wind farm (WF) systems, i.e., maximizing the output power and minimizing the output power fluctuation of the WF system. A detailed analysis of the effects of different objective’s weight values and battery size on the operation of the WF system is also carried out. This helps the WF operator to decide on an optimal operation point for the whole system to increase its profit and improve output power quality. In order to find out the optimal solution, a two-stage optimization is also developed to determine the optimal output power of the entire system as well as the optimal set-points of wind turbine generators (WTGs). In stage 1, the WF operator performs multi-objective optimization to determine the optimal output power of the WF system based on the relevant information from WTGs’ and battery’s controllers. In stage 2, the WF operator performs optimization to determine the optimal set-points of WTGs for minimizing the power deviation and fulfilling the required output power from the previous stage. The minimization of the power deviation for the set-points of WTGs helps the output power of WTGs much smoother and therefore avoids unnecessary internal power fluctuations. Finally, different case studies are also analyzed to show the effectiveness of the proposed method.

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MIDAS: A Benchmarking Multi-Criteria Method for the Identification of Defective Anemometers in Wind Farms

Cited by 27 publications

References 36 publications

Seasonal Correction of Offshore Wind Energy Potential due to Air Density: Case of the Iberian Peninsula

Seasonal Correction of Offshore Wind Energy Potential due to Air Density: Case of the Iberian Peninsula

An Energy Potential Estimation Methodology and Novel Prototype Design for Building-Integrated Wind Turbines

Multi-Objective Optimization for Determining Trade-Off between Output Power and Power Fluctuations in Wind Farm System

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