A Novel Evaluation of Wind Energy Potential in Essaouira Offshore Wind Farm, using Genetic Algorithm and MERRA-2 Reanalysis Data

Lahlou, Fouad; Addaim, Adnane; Madi, Abdessalam Aït

doi:10.1109/icoa.2019.8727669

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…More details related to this project can be found in Gelaro et al [19]. MERRA-2 is frequently used to assess the wind resources [20,21] being estimated and in some cases could indicate much higher wind conditions compared to in situ observations [22]. For the Black Sea area, this dataset was previously used to only evaluate the performances of some wave models on a large scale [23], but it was never used to assess the wind conditions from a meteorological/renewable perspective.…”

Section: Methodsmentioning

confidence: 99%

Wind Energy Assessments in the Northern Romanian Coastal Environment Based on 20 Years of Data Coming from Different Sources

2022

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Based on the fact that the wind speed tends to increase as we go from onshore to offshore, the aim of this work is to perform an analysis of a Romanian coastal sector located near the Danube Delta. Over the course of 20 years (2001–2020), in situ observations and reanalysis data (ERA5 and MERRA-2) of the local wind conditions were evaluated from a meteorological and renewable point of view. This evaluation includes two onshore sites (Galati and Tulcea), one site located near the shoreline (Sulina) and also two offshore sites defined at 64 and 126 km from the coastline. From the comparison with in situ measurements, it was found that ERA5 shows a better agreement with the onshore sites, while for the Sulina site the MERRA-2 is more accurate. Additionally, it was highlighted that by using only four values per day of reanalysis data (00:06:12:18 UTC), the average wind speed is similar with the one from the hourly data. As for a wind turbine performance (hub height of 100 m), in the case of the onshore sites the downtime period is much higher during the night (up to 63%) compared to only 23% indicated by the offshore ones during the entire day.

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Section: Methodsmentioning

confidence: 99%

Wind Energy Assessments in the Northern Romanian Coastal Environment Based on 20 Years of Data Coming from Different Sources

2022

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“…Unlike temperature, precipitation and grid demand, which can be directly measured instantaneously, data describing the wind resource are often more difficult to obtain because direct wind speed measurements from cup anemometers or lidars at the study location are not always available. Instead, reanalysis data such as those from the National Aeronautics and Space Administration's (NASA) MERRA‐2 global reanalysis data set can be used instead as a reliable wind resource estimate (Lahlou et al ., 2019). The reanalysis data are derived from a retrospective analysis of global meteorological data using a weather/climate model incorporating observations from a wide range of land‐ and satellite‐based instruments (Rienecker et al ., 2011).…”

Section: Introductionmentioning

confidence: 99%

How many offshore wind turbines does New England need?

Livingston

Lundquist

2020

Meteorological Applications

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The proliferation of countries and regions with 100% clean or renewable energy targets necessitates an analysis to determine the number of generating units and storage needed to meet real‐time electricity demand on the electric grid. The coastal areas of New England have the capacity to produce a large percentage of the region's energy needs with offshore wind turbines. Here we model offshore wind turbine power production data using MERRA‐2 reanalysis and lidar wind speed data sets. We compare this power production to the New England hourly grid demand over the course of one year. 2,000 10 MW offshore wind turbines could satisfy New England's grid demand for about 37% of the year. When combined with 55 GWh of storage, 2,000 turbines could satisfy grid demand for about 72% of the year.

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Improved Evaluation of The Wind Power Potential of a Large Offshore Wind Farm Using Four Analytical Wake Models

Hassoine

Lahlou

Addaim

et al. 2021

Int. J. Renew. Energy Dev.

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The objective of this paper is to investigate the ability of analytical wake models to estimate the wake effects between wind turbines (WTs). The interaction of multiple wakes reduces the total power output produced by a large offshore wind farm (LOFWF). This power loss is due to the effect of turbine spacing (WTS), if the WTs are too close, the power loss is very significant. Therefore, the optimization of turbine positions within the offshore wind farm requires an understanding of the interaction of wakes inside the wind farm. To better understand the wake effect, the Horns Rev 1 offshore wind farm has been studied with four wake models, Jensen, Larsen, Ishihara, and Frandsen. A comparative study of the wake models has been performed in several situations and configurations, single and multiple wakes are taken into consideration. Results from the Horns Rev1 offshore wind farm case have been evaluated and compared to observational data, and also with the previous studies. The power output of a row of WTs is sensitive to the wind direction. For example, if a row of ten turbines is aligned with the 270° wind direction, the full wake condition of WTs is reached and the power deficit limit predicted by Jensen model exceeds 70%. When a wind direction changes only of 10° (260° and 280°), the deficit limit reduces to 30%. The obtained results show that a significant power deficit occurs when the turbines are arranged in an aligned manner. The findings also showed that all four models gave acceptable predictions of the total power output. The comparison between the calculated and reported power output of Horns Revs 1 showed that the differences ranged from - 8.27 MW (12.49%) to 15.27 MW (23.06%) for the Larsen and Frandsen models, respectively.

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A Novel Evaluation of Wind Energy Potential in Essaouira Offshore Wind Farm, using Genetic Algorithm and MERRA-2 Reanalysis Data

Cited by 3 publications

References 18 publications

Wind Energy Assessments in the Northern Romanian Coastal Environment Based on 20 Years of Data Coming from Different Sources

Wind Energy Assessments in the Northern Romanian Coastal Environment Based on 20 Years of Data Coming from Different Sources

How many offshore wind turbines does New England need?

Improved Evaluation of The Wind Power Potential of a Large Offshore Wind Farm Using Four Analytical Wake Models

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