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Optimizing Compressed Natural Gas Energy Marketers' Profitability in Nigeria Using an Integrated Model

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Abstract:

The energy industry confronts challenges in optimizing its operational processes, which can result in high production costs and unpredictable profitability. Addressing these gaps is crucial due to the scarcity of robust models for energy process optimization. This study introduces a comprehensive model aimed at optimizing energy operations, tackling issues like profitability instability and equipment breakdown-induced production costs. Three models were devised: a profitability simulation model, maintenance cost reduction model, and workforce cost reduction model. These models, along with the Taguchi-fuzzy profitability prediction model, were implemented using meta-heuristic techniques such as Genetic Algorithm (GA), Differential Evolution (DE), and Harmony Search Method (HS). The study demonstrated the success of these models, enhancing compressed natural gas (CNG) production by accurately forecasting profitability and minimizing maintenance costs. Optimizing the system led to peak productivity, with optimal GA chromosomes achieved after 100 iterations and average fitness values of 0.0219, 0.0152, and 0.0149 for GA, DE, and HS respectively.

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International Journal of Engineering Research in Africa Vol. 80 View Preview

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Periodical:

International Journal of Engineering Research in Africa (Volume 80)

Pages:

1-13

DOI:

https://doi.org/10.4028/p-98pgZF

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Online since:

July 2026

Authors:

Anthony U. Anieze, Ojo S.I. Fayomi*, Desmond E. Ighrawve

Keywords:

Compressed Natural Gas, Cost Reduction, Energy, Model Optimization, Profitability

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© 2026 Trans Tech Publications Ltd. All Rights Reserved

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* - Corresponding Author

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