florenceyoung-tech/paper1-pypsa-nigeria

# Paper 1 — Financing the Energy Transition: Nigeria PhD dissertation research by Florence Iseko, University of Ottawa Supervisor: Prof. Nicholas Rivers ## Research Question How does the cost of capital, shaped by policy-driven risk perceptions, affect optimal renewable energy deployment in Nigeria's electricity system? ## Model PyPSA-Earth capacity expansion model — Nigeria, 6 nodes, 2030 horizon ## Key parameters - Baseline WACC: 10% uniform (Dioha et al., 2026) - Empirical WACC: 13.79% solar/wind, 14.68% gas (Hatton et al., 2025) - CAPEX: IRENA 2024 Africa-specific values - NDC target: 29% below 2018 EDGAR emissions (NDC 3.0) ## Repository structure - configs/ — PyPSA-Earth scenario configuration files - Results/ — Results extraction scripts - Outputs/ — Charts and tables from completed runs - Data/ — TCN generation data and processed datasets