This document reports a part of the results of Work Package 5 of the Floatech project (Optimization of floating wind turbines using innovative control techniques and fully coupled open-source engineering tool). The main goal of WP 5 is the estimation of the impact of the newly developed control technologies on the economic performance of a floating offshore wind turbine (FOWT). Specifically, WP 5 has investigated the effects on the overall component costs due to the introduction of two new control strategies: Active Wave Control (AWC), related to the feed-froward control methodology developed in WP 3 of Floatech project, and Active Wake Mixing (AWM), related to the wake mixing control strategy developed in WP 4. Two different tasks are dedicated to the analysis of the new control strategies: Task 5.1, dedicated to the study of AWC, and Task 5.2 dedicated to AWM. In order to investigate the economic effects of the implementation of the new controls, a cost model, parametrized on the main geometrical and performance data of the FOWT, has been developed. This report is specifically related to the economic assessment of the AWM control strategy. The current study exploits the results of a set of simulations performed using the software QBlade (developed by TU Berlin) in order to estimate the loads on the main FOWT components and the effect of the control on power production performance. The methodology used to estimate the possible improvements due to the newly introduced control technology is based on a hybrid approach: on one hand, some cost contributions will be estimated using expressions based on statistical regression, derived from literature, while, on the other hand, the costs of the FOWT components mainly affected by the control variation will be estimated using a simplified preliminary design calculation, in order to evaluate possible changes in design parameters due to the predicted load variations. In the process of LCOE estimation, possible changes in the Annual Energy Production (AEP) need also to be accounted for. The results of the study are presented in terms of variation of the LCOE between a reference case and a modified design including the AWM control technology, using the control strategy designated as Helix, developed by TU Delft.