Justice Ohene-Akoto, a multiple award-winning engineer and researcher, has bagged three nominations in this year’s Ghana Energy Awards.
He is up for the Energy Transition Most Valuable Player (MVP) Award, Green Chief Trailblazer Award, and the Innovation Project of the Year.
Mr. Ohene-Akoto is a board member of the World Energy Council in 2022 and the nominations are a testament of his remarkable contributions to the energy landscape. This year’s Ghana Energy Awards (GEA) is under the theme ‘Ghana’s energy transition framework: sector institutions as building blocks for the 2030-2040 targets’ and is set to take place at the Labadi Beach Hotel on Friday, November 17, 2023.
The GEA aims to recognise the efforts, innovations and excellent stalwarts within the energy sector and celebrate the tremendous work of players nominated under various categories.
His expertise and leadership in the World Energy Council’s Visoionario Project 2022/2023, along with Latvia’s Deputy State Secretary of the Ministry of Finance, Prof. Olga Bogdanova, and Canada’s Guillaume Bence-Hebert, forecasted global energy and climate trends until 2050, emphasizing pivotal drivers and human-centric elements in the transition.
He is currently serving as the only Ghanaian on the board of the World Energy Council. The Future Energy Leaders (FEL) board oversees and monitors the achievement of program objectives, warrants the alignment of the program with the Council’s mission and vision and ensures integration with the wider Council community.
Speaking at the “3rd IEEE International Conference on Advance Computing and Innovative Technologies in Engineering” held in India, he highlighted the “need for critical attention to predictions to mitigate global shocks”.
Mr. Ohene-Akoto also underscored the urgent need for “individuals and institutions to develop a keen interest in predicting global happenings to mitigate their potential shocks”.
In addition, he highlighted his most recent academic publication which he co-authored with his “good friends”, Professor Emmanuel Asuming Frimpong (Head of Department, Electrical Engineering, KNUST) and Dr. Elvis Twumasi (Lecturer, KNUST). The publication which was entitled, “Enhancement of the prediction accuracy of grey system model using a particle swarm optimised initial condition”. In this paper, he accentuated the enhanced model of the grey system model that was proposed. The model gave a high accuracy when tested on the Ghana power system to predict the economic value of power outages and its impact on Ghana’s GDP.