Posters

Abstract

The rapid expansion of wind power development—both onshore and offshore—continues to challenge wind flow modeling techniques used in resource assessment. Wind resource engineers more frequently encounter highly complex topography, limited spatial representativeness of measurement devices, and strong thermal effects, where conventional modeling approaches may struggle. Among recent innovations, the Meso-Micro Coupling (MMC) technique has emerged as a promising method to enhance simulation accuracy and reduce uncertainty in wind resource assessment. In this study, we introduce an enhanced Mesoscale-Microscale Coupling approach that effectively integrates regional atmospheric effects into microscale simulations. Unlike conventional coupling methods, our approach not only uses mesoscale-derived statistical wind profiles as initial and boundary conditions but also incorporates them as dynamic forcing terms within the computational domain. This ensures that mesoscale wind characteristics are consistently maintained in designated zones throughout the simulation. The presentation will address three key aspects: 1. Evaluating the Accuracy Improvement of MMC in Challenging Environments We selected several highly complex sites across China to assess the performance of the MMC methodology. The accuracy of wind flow modeling using MMC was systematically compared against traditional microscale-only approaches. Three representative cases are examined: * Site 1: Wind corridor with large-scale orographic variation * Site 2: Nearshore site influenced by strait effect * Site 3: High-altitude site with significant thermal influence 2. Identifying Conditions Under Which MMC Provides the Greatest Benefits Given the higher computational demands of MMC, it is essential to identify situations in which it yields the most substantial benefits. Our analysis highlights two key indicators that strongly influence the effectiveness of MMC: * the magnitude of mesoscale effects * the spatial representativeness of wind measurement devices 3. Understanding the Influence of Key Parameters The coupling height serves as a critical parameter linking the mesoscale and microscale models. Through extensive cross-validation, we have derived mechanistic insights into its influence and provide practical recommendations on optimal coupling height values under varying environmental conditions. By combining real-world case studies with qualitative and quantitative analysis, this work offers a clearer perspective on the applicability and effectiveness of the Meso-Micro Coupling approach in wind resource assessment, along with deepened insight into the coupling mechanisms.