Speaker
Description
Hybrid offshore renewable energy systems (HRES) offer a promising solution to mitigate the variability of renewable energy sources. Specifically, combining offshore wind turbines, solar photovoltaics, and wave energy converters enhances power stability by leveraging their complementary characteristics. However, designing an efficient HRES requires a comprehensive approach that addresses key challenges across the entire project lifecycle. Nevertheless, existing studies often address these challenges separately and rely on oversimplified assumptions that fail to reflect real-world conditions, resulting in design decisions that may compromise economic viability. To address this, we propose an integrated optimization framework that simultaneously optimizes layout, sizing, and cable-routing decisions, while accounting for realistic operation and maintenance factors. In particular, the model determines the optimal number and placement of devices and selects the most appropriate type and configuration of both inter-array and export cables to maximize the project's net present value. A Markov-based model is incorporated to represent critical system states throughout the lifecycle, including operational, degraded, and failed conditions, as well as preventive and corrective maintenance. This enables more accurate estimations of availability, accessibility, energy output, and overall economic performance. Case studies based on real-world examples provide practical insights to support informed investment and planning decisions for HRES.
