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.
Source: BFT