방파제형 파력발전기 적지 분석을 위한 해양 데이터 아키텍처 구축

Abstract

To commercialize marine renewable energy, a decision-support system capable of assessing economic feasibility and systematically analyzing suitable sites at the early development stage is essential. This study proposes a data architecture that integrates domestic marine environmental databases with physics-based models to analyze regional power generation and costs during conceptual design. The focus is on breakwater-type Osicillating Water Column Wave Energy Converters(OWC-WECs) with extensive demonstration experience. Using the SWAN model, long-term wave conditions over ten years were reproduced to obtain national breakwater specifications. A cost estimation model based on demonstration data was developed and linked with AEP and LCOE calculations. The integrated data are stored in a standardized format, enabling their application to optimization analysis and large language model (LLM) training and inference. The proposed framework establishes a foundation for an LLM-driven decision-support system for site selection and economic evaluation in marine renewable energy.