Wind Energy Utilization in Coastal Environmental Design: Challenges and Innovations in Balancing Ecology and Aesthetics

Shilong Xu, Guangyu Yang

Abstract


In coastal landscape design, the arrangement of small-scale wind turbines often generates environmental integration challenges, including ecological disturbance, spatial fragmentation, and visual conflict. This paper proposes a collaborative optimization framework that integrates multi-source sensing data with generative design to balance renewable energy performance and coastal landscape quality. The reported results are derived from a hybrid approach combining field measurements, computational fluid dynamics simulations, and virtual reality-based participant evaluations.By combining dynamic ecological simulation with a closed-loop mechanism of public aesthetic feedback, the framework aims to achieve functional symbiosis and visual harmony between wind energy facilities and sensitive coastal environments. In implementation, a dynamic three-dimensional ecological sensitivity field is constructed by fusing satellite remote sensing, UAV surveys, ecological monitoring data, and bird radar observations, forming rigid ecological constraints for design generation. Morphological parameters, including turbine type, hub height, spacing, and tilt angle, are iteratively adjusted based on performance feedback from computational fluid dynamics wind field simulations. Public aesthetic evaluations collected through immersive virtual reality scenarios are quantified and transformed into computable weights, embedded into an iterative generative design loop to guide form and layout evolution. Through multi-objective optimization, the proposed method refines design solutions that reduce ecological disturbance, maintain stable energy output, and enhance visual compatibility. Ecological, energy, and aesthetic assessments confirm the effectiveness of the proposed method, with detailed metric ranges provided in the results section.

Keywords


Coastal Environmental Design, Wind Energy Utilization, Ecological and Aesthetic Balance, Multi-Source Data Fusion, Generative Design, Multi-Objective Optimization

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DOI (PDF): https://doi.org/10.20508/ijrer.v16i2.17009.g9223

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