RESOLUTION OF COMPLEX PROBLEMS IN THE ANALYSIS OF “NEXT GENERATION” WIND TURBINE TOWERS

Abstract: 

Soft types of energy or renewable energy sources (RES) are types of exploitable energy, originating from natural processes and being friendly to the environment. According to recent estimations, the technically exploitable energy potential of RES is excessively higher than the world's total energy consumption. Wind energy is a type of RES and its exploitation is mainly based on three-bladed Horizontal Axis Wind Turbines. Examining the evolution of modern design of wind turbines, a trend of increasing the rotor's diameter is recorded. This fact leads to a proportionate increase in size of the structural parts of the wind turbine and especially of the height of the tower that supports its mechanical parts.

In the present research proposal, complex problems of analysis and optimum design of Next Generation wind turbine towers will be resolved, so that research associated with the structural parts follows the research development concerning the mechanical parts. These problems will be related with the collection of wind data which will be eventually employed to global static and dynamic analysis and design of the tower taking into account various effects including geometrical nonlinearities and soil-foundation-structure interaction. Foundations on sensitive slopes and sea-bed soils will also be investigated. Apart from global analysis problems, topics of local nature such as fatigue, local buckling and optimization of geometric setups of bolted and welded connections between steel parts of the structure will be addressed.

In order to achieve an integrated proposal, the problem of optimum positioning of wind farms will also be formulated and solved by considering it as a multi-objective optimization one. The interdepartmental collaboration between research groups of the present proposal is considered to be crucial due to the interdisciplinary character of such a large-scale project engaging in engineering, mathematical, energy, environmental and space sciences.

 

AIOLOS / MIS: 379395
 

Project info

Acronym:
AIOLOS
Scientific Coordinator:
Sapountzakis Evangelos
Research Team 1 Leader:
Sapountzakis Evangelos
Research Team 2 Leader:
Baniotopoulos Charalampos
Research Team 3 Leader:
Ziomas Ioannis
Research Team 4 Leader:
Karlaftis Matthew

Stats

I.D.:
952
Mis:
379395
Duration (months):
45
Budget:
600 000.00
Diavgeia:
ΑΔΑ: Β41Β9-ΨΒ7

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