Design Space Relaxation Optimization Process (DSROP) for Wind Farm Layout ID: 2018-022

A groundbreaking optimization process that significantly enhances wind farm layout planning and energy production efficiency.

Technology Overview

The DSROP is an innovative approach to wind farm layout optimization (WFLO) that addresses the complex challenge of multi-modality by relaxing the design space to reduce the impact of local optima. This process allows for more effective use of gradient-based optimization methods by modifying wake spread and velocity deficit parameters, crucial for optimal turbine placement. Through a series of progressively refined optimization runs, the DSROP method achieves superior optimization results, leading to more efficient wind farm designs.

Key Advantages

• Addresses multi-modality issues in WFLO, enhancing the optimization process
• Employs advanced wake models for precise turbine placement
• Improves mean optimized annual energy production (AEP) by 4%Effective in complex and large-scale wind farm scenarios
• Potential for application in various design optimization fields beyond wind farms

Problems Addressed

• Reduction of local optima's impact on the optimization process
• Enhanced capability of gradient-based optimization methods in complex scenarios
• Increased efficiency and energy output of wind farms

Market Applications

• Optimization of wind farm layouts for increased energy production
• Application in renewable energy planning and design tools
• Potential expansion into other areas of design optimization requiring global optimum solutions

Additional Information

Technology ID: 2018-022
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Date Published: 28 March, 2025