M. N. Braimah

Application of Artificial Neural Network (ANN) in the Optimization of Crude Oil Refinery Process: New Port-Harcourt Refinery

M. N. Braimah · Journal of Energy Research and Reviews · 2020

Background: Optimizing the process conditions of the crude distillation unit is a main challenge for each refinery. Optimization increases profit by producing the required range of distillates at maximum yield and at minimum cost. To achieve an acceptable control of product quali...

Open access Research Article 10.9734/jenrr/2020/v5i430154

Comparison of Optimization of Exergy Efficiency of a Crude Distillation Unit Using Artificial Neural Network (ANN) and Response Surface Methods (RSM)

M. N. Braimah · Journal of Engineering Research and Reports · 2020

The study carried out simulation of the Crude Distillation Unit (CDU) of the New Port Harcourt Refinery (NPHR) and performed exergy analysis of the Refinery. The Crude Distillation Unit (CDU) of the New Port Harcourt refinery was simulated using HYSYS (2006.5). The Atmospheric Di...

Open access Research Article 10.9734/jerr/2020/v14i317123

Improving Design of a Cryogenic Process by Exergy and Process Economic Analyses

A. N. Anozie, M. N. Braimah, O. J. Odejobi & O. P. Ayoola · Current Journal of Applied Science and Technology · 2014

Aim: This work compared four different designs of a cryogenic process (Linde methane liquefaction) using exergy and process economic analyses. Study Design: Simulation, energy, exergy and process economic analyses were used. Place and Duration of Study: Department of Chemical Eng...

Open access Research Article 10.9734/BJAST/2014/8646