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The leveling of LCOE (levelized cost of electricity) is general international measure KWH cost indicators, It's the cost of generating electricity per lifetime divided by the amount of electricity per lifetime. Mingyang adopts the economic analysis model of LCOE, which taking into account such factors as wind turbine unit, foundation, installation, electric power transmission and transformation, operation and maintenance and other costs, etc.,

Mingyang has developed an intelligent optimization module for offshore wind turbine generator positions, which can solve the difficult problem of generating power loss under the guidance of full life cycle wind turbine generator position optimization strategy. Based on the multi-variable nested iterative traverse optimization method and the advanced wake calculation model, this module has realized the rapid optimization of tens of thousands of machine position layout schemes within 1 to 2 hours, and the precise locking of the optimal machine position layout coordinates, thus bringing about the increase of power generation capacity in the full life cycle.

In the stage of supporting structure optimization (foundation and tower),we not only focuses on optimizing a single substructure, but also takes the control, fatigue design, tower design and foundation design as a whole into account as well. More importantly, we also need to consider and compare the interaction and coupling effect between the blades, tower, foundation with the external environmental conditions. Adopting the integrated design mode of the wind turbine can ensure the good overall matching. In the limit load, hub center bending moment load is reduced by 15%, yaw bearing load is reduced by 10%, and tower foundation load is reduced by 15%.

Aiming at the operating environment of offshore wind turbine, Mingyang has designed the blade, transmission chain, yaw system, electrical and control system with pertinence, intelligence and high reliability. In addition, MYPlatFormTM, an integrated design platform for automatic optimization, is adopted.
It has the advantages of high power generation capacity, modular structure design, high reliability, high transmission efficiency, good power quality, excellent typhoon resistance, good sealing, heat dissipation performance, excellent salt fog alt fog corrosion resistance, convenient transportation and hoisting and low cost.

The transportation, installation, commissioning and maintenance of the Mingyang offshore wind turbine shall be carried out in accordance with IEC 364 or CENELEC HD 384 or DIN VDE 0100 and IEC 664 or DIN VDE 0110, as well as relevant national technical safety regulations.

By optimizing the structure of the wind turbine, designing the hoisting tools and spars, and combining the conditions of the wind farm installation site.
At the same time, the main components of the wind turbine have the ability of integrated modular hoisting, which can increase the speed of assembly and installation work in the plant as much as possible, save the construction cost and reduce the construction risk.
We custom-designed the optimal hoisting and installation scheme to shorten the absolute construction period of the wind turbine offshore hoisting and installation and reduce the construction difficulty.

Big data center is a comprehensive service dispatching center for remote diagnosis of wind turbine and the efficient operation&maintenance mechanism establishment. It is an important support for remote guidance of on-site operation and maintenance of wind farm and improvement of unit reliability. The purpose of obtaining operation data from the wind farmis for continuously analyze the operation status of wind turbine. While realizing fast and remote technical support, the hidden trouble of the unit could easier be detected and fixed in order to ensure high reliability and availability of wind turbine, and helped the wind turbine keep running in the optimal state.