Real Option Valuation of a Photovoltaic System in a Nigerian Government Organisation

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Authors: Jethro Olorunfemi Idowu, Ini Adinya
Cited by: 0
References: 14

Abstract

Grid-connected solar photovoltaic (PV) systems play a critical role in addressing Nigeria’s persistent electricity shortages. However, investment decisions in these systems are often constrained by high tariffs, substantial upfront costs, and significant policy and market uncertainties. Such uncertainties are not well captured by conventional valuation techniques, particularly the Net Present Value (NPV) method, which assumes deterministic cash flows and overlooks managerial flexibility. To address these limitations, this study applies Real Options Analysis (ROA) to evaluate a 16.8 kWp solar PV system installed in a Nigerian government organisation, explicitly quantifying the value of deferring the investment under uncertainty using a binomial lattice framework. Project volatility (σ = 0.3098) was estimated through Monte Carlo simulation incorporating stochastic variations in electricity tariffs, energy yield, and operating costs. The results indicate that while the traditional NPV is positive at N=17.24 million, the option to defer adds an additional N=25.78 million, yielding an Expanded NPV (ENPV) of N=43.01 million-representing a 149% improvement over the static valuation. This substantial flexibility premium demonstrates that exclusive reliance on deterministic NPV significantly undervalues renewable energy investments in volatile environments. The findings highlight the importance of integrating uncertainty and strategic timing into project appraisal, especially in developing countries like Nigeria where regulatory, financial, and market risks are pronounced. The study offers a replicable decision-support framework for investors and underscores the need for stable and supportive renewable energy policies to enhance the adoption of solar PV technologies.

Fields of Study & Subjects

Capital Investment and Risk Analysis Photovoltaic Systems and Sustainability Financial Reporting and Valuation Research

Publication details

Journal / source
Science Journal of Applied Mathematics and Statistics
Volume
14
Issue
1
Pages
16–26
Publication date
15 January 2026
Language
EN