China's offshore wind energy is of great potential and plays an important role in promoting China's energy structure adjustment. However, the current development of offshore wind power in China is inadequate, and is much less developed than that of onshore wind power. On the basis of considering all kinds of risks faced by offshore wind power development, an optimized model of offshore wind power investment decision is established in this paper by proposing the risk-benefit assessment method. To prove the practicability of this method in improving the selection of wind power projects, python programming is used to simulate the investment analysis of a large number of projects. Therefore, the paper is dedicated to provide decision-making support for the sound development of offshore wind power industry.
CITATION STYLE
Zhao, T., Yang, S., Gao, G., & Ma, L. (2018). Study on optimized decision-making model of offshore wind power projects investment. In IOP Conference Series: Earth and Environmental Science (Vol. 121). Institute of Physics Publishing. https://doi.org/10.1088/1755-1315/121/5/052100
Mendeley helps you to discover research relevant for your work.