Wind and wave energy potential in southern Caspian Sea using uncertainty analysis

Amirinia, Gholamreza; Kamranzad, Bahareh; Mafi, Somayeh

doi:10.1016/j.energy.2016.11.088

Cited by 61 publications

(28 citation statements)

References 64 publications

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“…Additional references on wave energy resource assessments are also found listed by country or region in Chen et al [14], and an overview of the global distribution of wave resources was discussed in Kasiulis et al [15]. Several other wave energy resource assessments and exploitability studies for enclosed basins also include [16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Extreme and Metocean Conditions in the Swedish Exclusive Economic Zone for Wave Energy

et al. 2020

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Here, accessibility to near-shore and offshore marine sites is evaluated based on wave and ice conditions. High-resolution third-generation wave model results are used to examine the operation and maintenance conditions for renewable energy sources with a focus on wave energy. Special focus is given to the wave field and ice characteristics for areas within the Swedish Exclusive Economic Zone including analysis of return levels for extreme values for significant wave height, which provides guidance for dimensioning wave energy converters. It is shown that the number of weather windows and accessibility are influenced by distance from the coast and sea-ice conditions. The longest waiting periods for the closest weather window that is available for Operation and Maintenance (O&M) is in ice-free conditions shown to be strongly correlated with the fetch conditions. The sheltered Baltic Sea is shown to have very high accessibility if marine infrastructure and vessels are designed for access limits of significant wave height up to 3 m. In the northern basins, the waiting periods increase significantly, if and when the ice-conditions are found to be critical for the O&M activity considered. The ice-conditions are examined based on compiled operational sea-ice data over a climatic time period of 34 years. The results are location specific for the Swedish Exclusive Economic Zone, but the analysis methods are transferable and applicable to many other parts of the world, to facilitate assessment of the most promising areas in different regions.

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Section: Introductionmentioning

confidence: 99%

Assessment of Extreme and Metocean Conditions in the Swedish Exclusive Economic Zone for Wave Energy

et al. 2020

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“…Consequently, the wind state for the study area is considered a calm state. Furthermore, a study in the Caspian Sea revealed that the average roughness length is about 0.2 mm and calm state conditions are dominant in the area (Amirinia et al, 2017). Finally, taking wind speed at the turbine hub-height, the wind power density (P wind ) in terms of power (P) per unit area (A) or wind speed and air density can be computed as:…”

Section: Wind Power Computationsmentioning

confidence: 99%

“…However, they can be found in the mentioned references (i.e. Powell et al, 2003;Yu et al, 2008;Amirinia et al, 2017).…”

Section: Wind Power Computationsmentioning

confidence: 99%

“…Concerning climate change impacts on wind energy resources, Pryor and Barthelmie (2010) reviewed probable mechanisms through which global climate change variability can affect future wind energy resources and conditions. Rusu and Onea (2013) and Amirinia, Kamranzad, and Mafi (2017) evaluated wind and wave energy along the Caspian Sea. Their results demonstrated adequate energy resources in the study area.…”

Section: Introductionmentioning

confidence: 99%

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Modeling climate change impact on wind power resources using adaptive neuro-fuzzy inference system

Nabipour

Mosavi

Hajnal

et al. 2020

Engineering Applications of Computational Fluid Mechanics

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Climate change impacts and adaptations are ongoing issues that are attracting the attention of many researchers. Insight into the wind power potential in an area and its probable variation due to climate change impacts can provide useful information for energy policymakers and strategists for sustainable development and management of the energy. In this study, spatial variation of wind power density at the turbine hub-height and its variability under future climatic scenarios are taken into consideration. An adaptive neuro-fuzzy inference system (ANFIS)-based post-processing technique was used to match the power outputs of the regional climate model (RCM) with those obtained from reference data. The near-surface wind data obtained from an RCM were used to investigate climate change impacts on the wind power resources in the Caspian Sea. After converting nearsurface wind speed to turbine hub-height speed and computation of wind power density, the results were investigated to reveal mean annual power, seasonal and monthly variability for 20 year historical (1981)(1982)(1983)(1984)(1985)(1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000) and future (2081-2100) periods. The results revealed that climate change does not notably affect the wind climate over the study area. However, a small decrease was projected in the future simulation, revealing a slight decrease in mean annual wind power in the future compared to historical simulations. Moreover, the results demonstrated strong variation in wind power in terms of temporal and spatial distribution, with winter and summer having the highest values.The results indicate that the middle and northern parts of the Caspian Sea have the highest values of wind power. However, the results of the post-processing technique using the ANFIS model showed that the real potential of wind power in the area is lower than that projected in the RCM. ARTICLE HISTORY

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“…The proper projects in Denmark, France, Germany, Greece, The Great Britain, Italy, Portugal, Holland, Sweden and others realized researches by the state support at the Universities within groups, as well as at the industry enterprises [7], [8], [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Wave Power Plant on the Northeast Coast of the Absheron Peninsula

Mammadov¹

2017

AJME

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Wind and wave energy potential in southern Caspian Sea using uncertainty analysis

Cited by 61 publications

References 64 publications

Assessment of Extreme and Metocean Conditions in the Swedish Exclusive Economic Zone for Wave Energy

Assessment of Extreme and Metocean Conditions in the Swedish Exclusive Economic Zone for Wave Energy

Modeling climate change impact on wind power resources using adaptive neuro-fuzzy inference system

Analysis of Wave Power Plant on the Northeast Coast of the Absheron Peninsula

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