Data and code for: Optimal location for installing offshore wind turbines in low wind speed areas of southern Iranian waters

Description

This dataset contains the complete, reproducible pipeline and data supporting the manuscript "Optimal location for installing offshore wind turbines in low wind speed areas of southern Iranian waters". Global Wind Atlas (GWA 3.0) wind power density was screened across the offshore areas of Iran, Iraq, Kuwait, Saudi Arabia, and Oman (95th-percentile threshold, 5 km spacing; 368 candidate sites). Water depth was retrieved from GEBCO 2020, and three offshore sites per country (15 in total) were selected. The deposit includes the screening, bathymetry, and site-selection scripts; the machine-learning ranking, sensitivity, and levelized cost of energy (LCOE) scripts; a supplementary extended screening of Oman's coastline; and the intermediate and final datasets. The outputs of the online steps are included, so the analysis can be reproduced offline. See README.txt for the order of execution and requirements.txt for package versions.

Steps to reproduce

Complete, reproducible pipeline for the manuscript, from Global Wind Atlas screening to LCOE. Install: pip install -r requirements.txt. Run in order: (1) stratified_multiheight_extraction.py, (2) fetch_bathymetry.py, (3) select_final_sites.py, (4) ML_ranking_pipeline.py, (5) sensitivity_analysis.py, (6) LCOE_calculation.py. Supplementary check of Section 3.5: test_extended_oman.py, then check_extended_oman_depth.py. Outputs of the online steps (1, 2, S1, S2) are included, so steps 3-6 run without internet access. Full details in README.txt.

Institutions

• Khatam University

  Tehran, Tehran

Categories

Licence