Geotechnical Design and Design Optimization of a Pile-Raft Foundation for Tall Onshore Wind Turbines in Multilayered Clay

2018 ◽  
Vol 18 (2) ◽  
pp. 04017143 ◽  
Author(s):  
Shweta Shrestha ◽  
Nadarajah Ravichandran ◽  
Parishad Rahbari
Keyword(s):  
Design Optimization ◽  
Wind Turbines ◽  
Onshore Wind ◽  
Raft Foundation ◽  
Geotechnical Design

scholarly journals Analysis and Geotechnical Design of Hybrid Foundation for Tall Wind Turbine

2021 ◽  
Vol 9 (9) ◽  
pp. 346-350
Author(s):  
Shruti Birhare
Keyword(s):  
Bearing Capacity ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Energy Demand ◽  
Differential Settlement ◽  
Raft Foundation ◽  
Total Settlement ◽  
Geotechnical Design ◽  
Hybrid Foundation

Abstract: The significance of wind turbines in meeting the expanding energy demand is critical. Taller towers should be employed to boost the power producing capability. The foundation must be efficient in order to securely carry the heavier loads of taller towers. When sustaining loads from superstructure are considered then bearing capacity of raft is taken into account for pile raft foundation. Piles help to strengthen the raft's bearing capacity while also regulating settlement in this arrangement, particularly differential settlement. A hybrid foundation, i.e. a pile raft foundation, is investigated and geotechnically designed here. The effectiveness of this system is demonstrated using the measures total settlement, differential settlement, and rotation. Keywords: Pile raft foundation, differential settlement, total settlement, wind turbin, bearing capacity

scholarly journals Comparative Analysis of Kazakhstani and European Design Specifications: Raft Foundation, Pile Foundation, and Piled Raft Foundation

2021 ◽  
Vol 11 (7) ◽  
pp. 3099
Author(s):  
Assel Zhanabayeva ◽  
Nazerke Sagidullina ◽  
Jong Kim ◽  
Alfrendo Satyanaga ◽  
Deuckhang Lee ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
International Standards ◽  
Piled Raft ◽  
Codes Of Practice ◽  
Piled Raft Foundation ◽  
Raft Foundation ◽  
Eurocode 7 ◽  
Elastic Settlement ◽  
Geotechnical Design ◽  
The Difference

The introduction of Eurocode in Kazakhstan allows for the application of modern technological innovations and the elimination of technical barriers for the realization of international projects. It is significant to study the international standards and design requirements provided in Eurocode. This study presents a comparative analysis of Kazakhstani and European approaches for the geotechnical design of foundations and provides the design methods in the considered codes of practice. Three different types of foundations (i.e., raft, pile, and piled raft foundations) were designed following SP RK 5.01-102-2013—Foundations of buildings and structures, SP RK 5.01-103-2013—Pile foundations, and Eurocode 7: Geotechnical design for the Nur-Sultan soil profile. For all three types of foundations, the calculated results of bearing resistance and elastic settlement showed the conservativeness of Eurocode over SNiP-based Kazakhstani building regulations, as the values of bearing resistance and elastic settlement adhering to Kazakhstani code exceeded the Eurocode values. The difference between the obtained results can be explained by the application of higher values of partial safety factors by Eurocode 7. Sensitivity analysis of the bearing resistance on foundation parameters (i.e., raft foundation width and pile length) for the Kazakhstani and European approaches was performed to support the conclusions of the study.

Ontology for maintenance of onshore wind turbines

2021 ◽  
Author(s):  
Bernhard Strack ◽  
Martin Lenart ◽  
Jana Frank ◽  
Nina Kramer
Keyword(s):  
Wind Turbines ◽  
Onshore Wind

Arena-Based Modeling of the Maintenance Operation for a Wind Farm

2013 ◽  
Vol 401-403 ◽  
pp. 2205-2208 ◽  
Author(s):  
Huai Zhong Li ◽  
Tong Jing ◽  
Hong Zhang
Keyword(s):  
Wind Turbines ◽  
Wind Farm ◽  
Discrete Event ◽  
Onshore Wind ◽  
Electric System ◽  
System A ◽  
Factors Influencing ◽  
Event Model ◽  
Main Factors ◽  
Discrete Event Model

Wind energy has become a leading developing direction in electric power. The high cost associated with turbine maintenance is a key challenging issue in wind farm operation as wind turbines are hard-to access for inspection and repair. Analysis of an onshore wind farm is carried out in this paper in terms of the operation, failure, and maintenance. Failures are categorized into three classes according to the downtime. It is found that the pitch, gearbox and generator have the most amount of downtime, while the most number of failures is from the pitch and electric system. A discrete-event model is developed by using Arena to simulate the operation, failure occurrence, and maintenance of the wind turbines, with an aim to determine the main factors influencing maintenance costs and the availability of the turbines in the wind farm.

Overview of Wind Turbine Field Failure Databases: A Discussion of the Requirements for an Analysis

2018 ◽  
Author(s):  
Roozbeh Bakhshi ◽  
Peter Sandborn
Keyword(s):  
Statistical Analysis ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Wind Farms ◽  
Onshore Wind ◽  
Failure Times ◽  
Reliability Parameters ◽  
Failure Data ◽  
Offshore Installations ◽  
Field Failure

With renewable energy and wind energy in particular becoming mainstream means of energy production, the reliability aspect of wind turbines and their sub-assemblies has become a topic of interest for owners and manufacturers of wind turbines. Operation and Maintenance (O&M) costs account for more than 25% of total costs of onshore wind projects and these costs are even higher for offshore installations. Effective management of O&M costs depends on accurate failure prediction for turbine sub-assemblies. There are numerous models that predict failure times and O&M costs of wind farms. All these models have inputs in the form of reliability parameters. These parameters are usually generated by researchers using field failure data. There are several databases that report the failure data of operating wind turbines and researches use these failure data to generate the reliability parameters through various methods of statistical analysis. However, in order to perform the statistical analysis or use the results of the analysis, one must understand the underlying assumptions of the database along with information about the wind turbine population in the database such as their power rating, age, etc. In this work, we analyze the relevant assumptions and discuss what information is required from a database in order to improve the statistical analysis on wind turbines’ failure data.

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