A planning method for offshore wind farm construction process based on discrete event-driven simulation and the application.

The article focuses on a discrete event-driven simulation (DES) method developed for preliminary construction planning of large-scale offshore wind farms. This Python-based simulation framework models construction processes, resource constraints, and environmental factors such as weather and working hours to dynamically predict construction timelines, manpower, and material needs. Validated through a case study of the 600 MW Monson Wind Power Project in Laos, the method demonstrated a 9% improvement in scheduling accuracy compared to empirical models, achieving approximately 95% precision. The approach supports strategic resource allocation and long-term project planning by integrating realistic operational logic and meteorological data, offering a computationally efficient tool for managing the complexities of offshore wind farm construction.