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Proceedings Paper

Optimization of monitoring and inspections in the life-cycle of wind turbines
Author(s): Anu Hanish Nithin; Piotr Omenzetter
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Paper Abstract

The past decade has witnessed a surge in the offshore wind farm developments across the world. Although this form of cleaner and greener energy is beneficial and eco-friendly, the production of wind energy entails high life-cycle costs. The costs associated with inspections, monitoring and repairs of wind turbines are primary contributors to the high costs of electricity produced in this way and are disadvantageous in today’s competitive economic environment. There is limited research being done in the probabilistic optimization of life-cycle costs of offshore wind turbines structures and their components. This paper proposes a framework for assessing the life cycle cost of wind turbine structures subject to damage and deterioration. The objective of the paper is to develop a mathematical probabilistic cost assessment framework which considers deterioration, inspection, monitoring, repair and maintenance models and their uncertainties. The uncertainties are etched in the accuracy and precision of the monitoring and inspection methods and can be considered through the probability of damage detection of each method. Schedules for inspection, monitoring and repair actions are demonstrated using a decision tree. Examples of a generalised deterioration process integrated with the cost analysis using a decision tree are shown for a wind turbine foundation structure.

Paper Details

Date Published: 7 April 2016
PDF: 9 pages
Proc. SPIE 9806, Smart Materials and Nondestructive Evaluation for Energy Systems 2016, 980608 (7 April 2016); doi: 10.1117/12.2219586
Show Author Affiliations
Anu Hanish Nithin, Univ. of Aberdeen (United Kingdom)
Piotr Omenzetter, Univ. of Aberdeen (United Kingdom)


Published in SPIE Proceedings Vol. 9806:
Smart Materials and Nondestructive Evaluation for Energy Systems 2016
Norbert G. Meyendorf; Theodoros E. Matikas; Kara J. Peters, Editor(s)

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