Review Article: Review of Performance Optimization Techniques Applied to Wind Turbines

My latest publication is a review paper titled Review of Performance Optimization Techniques Applied to Wind Turbines. I submitted my review to the journal of Applied Energy in August 2014 and it was accepted on December 21 2014. The article is now available online and should be published in Volume 132 (15 March 2015).

This paper presents a review of the optimization techniques and strategies applied to wind turbine performance optimization. The topic is addressed by identifying the most significant objectives, targets and issues, as well as the optimization formulations, schemes and models available in the published literature.
The current energy demand combined with depletion of fossil-fuel reserves and stricter environmental regulations have led to the development of alternative renewable energy solutions like wind energy. The current 2030 United States target is to have at least 20% of the US energy supply by onshore and offshore wind farms. To meet these demands, wind energy costs have to be able to compete with traditional fossil fuel sources. Hence, it is essential and vital that wind turbine designers and manufactures search the optimal solution that fits the objectives under a set of design constraints. Throughout the last 30 years, the objective function has evolved from the earlier maximized metric of the power coefficient to the maximization of the annual energy production. Common alternatives such as blade mass minimization and maximization of the rotor thrust and torque have been examined. However, the main objective has been focused on the minimization of the cost of energy in order for wind energy to become more competitive and economically attractive.
The purpose of this paper is to review previous work that undertakes the performance optimization of horizontal wind turbines by highlighting the main aspects when tackling the wind turbine optimization problem such as: objective functions, design constraints, tools and models and optimization algorithms. In addition, in a conclusion of the review, a discussion and argument about the challenges, issues and future developments are identified.
Click Here to access full-text in ScienceDirect. 
I dedicate the completion of this paper to first and foremost the Lord, my supervising team Dean Rafic Younes, Dr Adrian Ilinca and Dr Jean Perron and my family & friends for all their academical and emotional support throughout the preparation of my literature review


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