China’s offshore wind power potential revisited a realistic appraisal suggests substantially lower estimates than precedent studies

This project provides a comprehensive Python-based workflow for assessing the <b>feasibility and cost-effectiveness of offshore wind farms in China</b>, integrating wind resource analysis, farm layout optimization, and economic evaluation. It utilizes the <b>FLORIS model</b> to account for wake losses, combines real-world wind data with turbine specifications, and calculates both Annual Energy Production (AEP) and Levelized Cost of Energy (LCOE). The included case study focuses on a <b>small-scale floating wind farm</b> configuration using 24 Vestas V164-8.0 turbines. <b>Before running the scripts, make sure to extract the zip file</b> China’s offshore wind power potential revisited a realistic appraisal suggests substantially lower estimates than precedent studies.zip, as it contains essential input datasets required.

本项目提供了一套基于Python的完整工作流，用于**评估中国海上风电场的可行性与成本效益**，整合了风能资源分析、风电场布局优化与经济评价三大核心环节。本工作流采用**FLORIS模型（FLORIS）**以考量尾流损失，结合实测风电数据与涡轮机规格参数，并计算了**年发电量（Annual Energy Production，AEP）**与**平准化度电成本（Levelized Cost of Energy，LCOE）**。所附案例研究聚焦于采用24台维斯塔斯V164-8.0型涡轮机的**小型漂浮式风电场**配置。**运行脚本前，请务必解压压缩包China’s offshore wind power potential revisited a realistic appraisal suggests substantially lower estimates than precedent studies.zip**，因其包含运行所需的核心输入数据集。