Skip to content
Research Article Open access CC BY 4.0

RETScreen-based Techno-economic Study of Wave Energy Potential in Bonny Island, Nigeria

Chuks Emu

Journal of Energy Research and Reviews · pp. 35–46 · Published 6 Jun 2025

10.9734/jenrr/2025/v17i7431

Abstract

Climate change and its impact on the environment is driving the adoption of renewable energies. In order to reduce greenhouse gas emissions, the use of renewable energy requires focused attention. This study presents the techno-economic viability of wave energy in Bonny Island Rivers State, Nigeria to determine the suitability of siting wave farms for 30 a MW power generation. In this study, 39-years (1984 – 2023) data of nearshore and offshore wave regimes of Bonny Island at 13 m and 133 m water depth respectively were collected and used to predict the dynamic behavior of wave energy in the area using stochastic Navier-Stokes wave model and validated by Renewable-energy and Energy-efficiency Technology Screening (RETScreen). The result showed offshore wave regime have more potential than nearshore; and the chosen Alstom Kaplan wave converter turbine can generate total annual electricity of 2,146,200 MWh at an energy cost of $0.11/ kWh and 928,413 tons of CO2 on greenhouse gas saving equivalent to 2.15 million barrels of crude oil. The simple payback period (SPP) for the 30 MW wave power plant is 10.5 years, benefit cost ration of 1.3 and Net Positive Value (NPV) of $171,857, 502. These indicate that the 30 MW power plant in Bonny Island is a profitable investment portfolio.

RETScreen GHG emission energy management wave energy

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.