Published October 13, 2026 | Version 1.0.0

Data and code for How Meteorological Data Choice Changes Solar and Wind Investment Decisions in Northern Nigeria

  • 1. ROR icon Federal University of Technology Minna
  • 2. EDMO icon Near East University

Description

This dataset and code package supports a paired assessment of NASA POWER weather estimates and independent World Bank-financed West African Power Pool (WAPP) station measurements at Bauchi and Kano, Nigeria. It contains matched hourly solar irradiance, 10 m wind speed and temperature data for two measurement campaigns in 2021–2023; archived NASA POWER hourly responses; NASA monthly responses and resource summaries for 2001–2025; 15 numerical summary tables; detailed model outputs; Python scripts; and Figures 2–7 in PNG and PDF formats.
The calculations propagate weather-source differences through a nominal 500 kWp fixed-tilt photovoltaic design and a 500 kW EWT DW54 turbine at an assumed 50 m hub height. Outputs include resource-validation errors, modeled production, conditional discounted LCOE, wind-shear and loss sensitivity, capital-cost and finance thresholds, paired-month resampling, and site and technology ranking reversals. The main workflow uses archived NASA responses by default.
Nigerian project quotations have not been verified; LCOE and technology choices are conditional scenarios. The turbine power curve is approximately digitized from a manufacturer graphic, and hub-height wind is extrapolated. The historical NASA record describes modeled resource variation rather than additional independent station validation. Original minute-resolution WAPP observations are available through the source repository; this deposit contains hourly derivatives, processing code and input checksums. Third-party sources retain their attribution and reuse conditions.

Files

Northern_Nigeria_Resource_Validation_Zenodo_v1.0.0.zip

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