Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Impact of climate change on the design of multi-megawatt spar floating wind turbines
Abstract Increased frequency and intensity of extreme events can make offshore constructions unsafe due to the rapidly shifting wind-wave pattern. The consequences of climate change are disregarded by the current performance-based design of offshore wind turbines (OWT). The Statistical Downscaling Model (SDSM) and Artificial Neural Network (ANN) algorithm are used to present a simplified approach to enable the inclusion of future climatic projections in the design of spar-floating wind turbines. A two-variable statistical equation employing an Artificial Neural Network is established for calculating wind-induced wave height for the North Sea and West Coast of India, which is a valuable parameter for the site-specific design of offshore constructions. Under the SSP2-4.5 scenario, the North Sea's most likely wind speed is anticipated to decrease by 11 %, whereas the west coast of India experiences a slight decrease in wind speed. Serviceability responses, such as tower deflection, rotation, and nacelle acceleration, are expected to rise by 8–10 %. In contrast, a decrease in these responses is projected in the North Sea due to a decrease in future wind speed and wave height. Climate change has a greater impact on shutdown conditions than on normal operations, primarily due to the pronounced shifts in extreme climate conditions.
Highlights Two parameter empirical equations are proposed to estimate the wind-induced wave height in North Sea and India by usingANN. The frequency and intensity of extreme events are projected to increase over the west coast of India under SSP2-4.5. The mean wind speed in the North Sea is projected to decrease by 11 %, which can reduce the output power by up to 30 %. The safety margin of Spar has reduced substantially in Indian Offshore after incorporating future climate into the design.
Impact of climate change on the design of multi-megawatt spar floating wind turbines
Abstract Increased frequency and intensity of extreme events can make offshore constructions unsafe due to the rapidly shifting wind-wave pattern. The consequences of climate change are disregarded by the current performance-based design of offshore wind turbines (OWT). The Statistical Downscaling Model (SDSM) and Artificial Neural Network (ANN) algorithm are used to present a simplified approach to enable the inclusion of future climatic projections in the design of spar-floating wind turbines. A two-variable statistical equation employing an Artificial Neural Network is established for calculating wind-induced wave height for the North Sea and West Coast of India, which is a valuable parameter for the site-specific design of offshore constructions. Under the SSP2-4.5 scenario, the North Sea's most likely wind speed is anticipated to decrease by 11 %, whereas the west coast of India experiences a slight decrease in wind speed. Serviceability responses, such as tower deflection, rotation, and nacelle acceleration, are expected to rise by 8–10 %. In contrast, a decrease in these responses is projected in the North Sea due to a decrease in future wind speed and wave height. Climate change has a greater impact on shutdown conditions than on normal operations, primarily due to the pronounced shifts in extreme climate conditions.
Highlights Two parameter empirical equations are proposed to estimate the wind-induced wave height in North Sea and India by usingANN. The frequency and intensity of extreme events are projected to increase over the west coast of India under SSP2-4.5. The mean wind speed in the North Sea is projected to decrease by 11 %, which can reduce the output power by up to 30 %. The safety margin of Spar has reduced substantially in Indian Offshore after incorporating future climate into the design.
Impact of climate change on the design of multi-megawatt spar floating wind turbines
James, Maria (Autor:in) / Haldar, Sumanta (Autor:in) / Bhattacharya, Subhamoy (Autor:in)
Marine Structures ; 93
13.11.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Integrated design optimization of spar floating wind turbines
| Elsevier | 2020
On the Modeling of Spar-Type Floating Offshore Wind Turbines
| British Library Online Contents | 2013