Problems in Wind Power Industry

Design accuracy is not satisfactory, because there is neither standard methodology system for the whole process nor integrated design tool for this system.

The deficiency or lack of professional management tool in macrositing, mast scheme management, wind resource evaluation, and power production evaluation phases, leads to the low level of wind power farm design, turbine model selection and turbine layout error, obvious power production difference compared with expectation, the performance of some turbines are much lower than the average level in the wind farm, the income from investment is not as satisfied as expected.

Closed design loop cannot be realized because lack of standard post evaluation methodology system and professional tools.

Lack of standard post evaluation methodologies and tools prevents the quantification on the wind farm design level. The design experience and knowledge cannot be collected for optimization of future designs.

Lack of standard post evaluation methodologies and tools prevents the quantification on the wind farm operation and technology improvement effect. As a result, the continuous optimization of wind farm assets cannot be realized.

The vast amount of information required for wind field design is lack of support of big data platform.

The professional public data required by wind field planning is difficult to be obtained, and its quality is hard to be evaluated. In the early stage of project, especially in the planning phase, the inadequacy of public data evidently impedes wind field plan and process.

In order to decrease risk, generally, the wind field designs are retained with over 20% design margin, which results in various levels of design. In a typical wind field design process, the cross-functional cooperation is difficult to be realized, which makes the design process much more complicated. The inter-functional design optimization totally relies on the engineers' experience, which prevents sufficient improvement on the designs.