Economic optimization from fleets of aero-derivative gas turbines utilising flared associated gas

Obhuo, Mafel; Aziaka, Duabari S.; Osigwe, Emmanuel O.; Oyeniran, Adelani A.; Emmanuel, O.A; Pilidis, Pericles

doi:10.1016/j.ijft.2020.100049

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…The superimposing of the fuel consumption curves for the various scenarios on the fuel availability curve shows that the optimization constraint was satisfied during the optimization, fuel resources were maximally utilized. Equation 1 (Obhuo, 2018) As shown in equation 1, the annual operations and maintenance cost is gotten by adding up the fixed operations and maintenance cost, the variable operations and maintenance cost and the major maintenance cost. Fixed operations and maintenance costs are costs incurred in the running of the engine that do not vary significantly with the quantity of energy generated, examples are routine predictive and preventive maintenance.…”

Section: Optimized Fuel Consumptionsmentioning

confidence: 99%

“…Fixed operations and maintenance costs are costs incurred in the running of the engine that do not vary significantly with the quantity of energy generated, examples are routine predictive and preventive maintenance. On the other hand, variable operations and maintenance costs are incurred costs that are directly influenced by the quantity of energy generation, examples are purchase of chemicals, consumables, lubricants, spare parts, etc (Allision, 2014;Obhuo,2 018) Major maintenance costs are costs incurred due to extended outages, an example is scheduled major overhaul (Allision, 2014;Obhuo, 2018). Figure 14 shows the total operations and maintenance costs of the project from the various fleets.…”

Section: Optimized Fuel Consumptionsmentioning

confidence: 99%

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The Impact of Compressor Degradation on The Optimized Fleet Compositions, Optimized Thermal Efficiencies, and The Operations & Maintenance Cost of Fleets of a Reheat Engine Running on Associated Gas Fuel

Obhuo

Okuma²,

Aziaka

2023

JAETS

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Associated gas is a viable source of fuel for industrial gas turbines. Flaring of this fuel resource has not only resulted in environmental pollution and deterioration but also huge energy and economic loss. TURBOMATCH, a Cranfield University performance simulation software was used in modeling a hypothetical but realistic 296MW reheat gas turbine engine.The study was carried out using one clean fleet and three degraded fleets – the optimistic, medium, and pessimistic. Optimization of the fleet compositions and thermal efficiencies were achieved using Genetic algorithm. Detailed operations and maintenance costs analysis for the various fleets were carried out. .Results from the optimization show the optimized fleet compositions, from the various fleets and their turbine entry temperatures for 20 years life span of the project. the result from the 11th to the 20th year of the project, only one unit of engine was left due to engine divestment. Results of the optimized efficiencies for all the fleets show a gradual reduction in optimized efficiencies over the years of the project. Similarly, for all the scenarios considered, from the 11th to the 20th year of the project, with only one unit of engine left, the optimized efficiency trend is observed to be Clean > Optimistic > Medium > Pessimistic.Results from the fleets operations and maintenance costs show that the clean, optimistic, medium, and pessimistic degraded fleets have total operations and maintenance costs to be 1.224, 1.242, 1.265, and 1.297 billion US dollars respectively. Engine degradation resulted to 1.4%, 3.3%, and 5.9% increase in the operations and maintenance costs of the optimistic, medium, and pessimistic degraded fleets respectively.The results, approach and methodology presented in this paper would be a very useful decision-making tool for investors and governments who would want to invest in the economic utilization of associated gas using gas turbines.

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Section: Optimized Fuel Consumptionsmentioning

confidence: 99%

Section: Optimized Fuel Consumptionsmentioning

confidence: 99%

The Impact of Compressor Degradation on The Optimized Fleet Compositions, Optimized Thermal Efficiencies, and The Operations & Maintenance Cost of Fleets of a Reheat Engine Running on Associated Gas Fuel

Obhuo

Okuma²,

Aziaka

2023

JAETS

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“…In addition, the use of this important energy resource helps in making the switch from diesel to natural gas, which is a clean fuel that decreases the emission of undesired components [8][9][10][11][12]. Due to all the statements presented, it is important to know if it is possible to generate energy in a VMM field with the flaring gas, taking into consideration its composition, and use this energy to supply some internal operations in the field, making this gas into an energy useful resource [13][14][15]. Figure 1.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Process Optimization of the Flaring Gas for Field Applications

et al. 2022

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During petroleum industry operations, burning flammable gas components in the flaring stacks is common, normally a symbol for stable production, but flaring these components creates harmful emissions for the environment. This flaring gas has components with a high quantity of heating power, an important measurement that quantifies the energy that can potentially be obtained from this wasted resource. This paper aims to evaluate the energy usage of the flaring gas, estimating the possible energy produced with this usable resource by modeling a treatment and energy generation process employing the Aspen HYSYS® simulator. The flaring gas is characterized using different models and compositional ranges of natural gas to know what kind of gas it is and identify what type of equipment could be used for treatment and energy generation from this resource. After the gas characterization, the selection of the equipment of treatment and energy generation is necessary; this is done using a multicriteria analysis by taking into consideration the variables of gas composition, electrical efficiency, economic performance, and GHG emissions, ensuring to generate the greatest amount of energy possible to be produced with this flaring gas. By increasing the LHV, 0.95 MMSCF of flared gas of an oilfield in the VMM basin produced 5133 kW, enough energy to supply gas treatment and power generation facilities and four times the total gross consumption energy of a model oilfield in the basin, while the CO2 emissions were reduced 11.4%, and cost savings using this resource instead of diesel were obtained. In conclusion, to minimize flaring and to recover and reuse these waste components, looking for alternatives for the use of this gas-like power generation is an important option that reduces pollutants emission, gives a new source of fuel, and gives an energy usefulness to this wasted resource.

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“…Natural gas is a cleaner and environmentally friendly energy source than crude oil, making it an attractive energy option [ 1 ]. However, vast quantities of natural gas reserves are found in remote locations requiring transport to the consuming market [ 2 ] through gas transmission networks across distances in different locations.…”

Section: Introductionmentioning

confidence: 99%

A model for booster station matching of gas turbine and gas compressor power under different ambient conditions

Tukur

Osigwe

2021

Heliyon

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Transporting natural gas across different locations require compressor stations to provide the pressure needed to keep the gas moving. This paper presents a model for matching the gas turbine and gas compressor power required under different environmental conditions to support the continuous gas transmission across other locations. The trans-Saharan gas pipeline (TSGP) project proposed to transport gas from Nigeria to Algeria has been used as a case study in this paper. The TSGP project is a Nigerian Government initiative to rejig its gas development and transportation infrastructure to meet its internal and external market demand. The numerical method used in this paper integrates the effect of the ambient temperature in the power matching of the gas turbine and gas compressors. There are 18 compressor stations across the TSGP network, and compressor station 2 is used as the reference point. The daily temperature fluctuation is segmented into hours of the day, emphasising considerable ambient temperature variation at 3:00 h, 9:00 h, 15:00 h. One benefit of the model against others in the open literature is accounting for changes in the ambient temperature along the pipeline network and gas compression stations. Accounting for changes in ambient temperature provides accuracy to near real-life operational experience for gas distribution via pipelines. The model also accounts for variations in turbine entry temperature (TET) to compensate for changes in the ambient conditions to meet the power requirements of the gas turbine and the gas compressor. The results show that for every 1% increase in ambient temperature, a 3.5% increase in power is required to drive the gas compressor and a 1% decrease in gas turbine output power. The effect of the 1% increase in ambient would require a 3.5% increase in TET to meet both the gas turbine and gas compressor requirement.

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Economic optimization from fleets of aero-derivative gas turbines utilising flared associated gas

Cited by 6 publications

References 10 publications

The Impact of Compressor Degradation on The Optimized Fleet Compositions, Optimized Thermal Efficiencies, and The Operations & Maintenance Cost of Fleets of a Reheat Engine Running on Associated Gas Fuel

The Impact of Compressor Degradation on The Optimized Fleet Compositions, Optimized Thermal Efficiencies, and The Operations & Maintenance Cost of Fleets of a Reheat Engine Running on Associated Gas Fuel

Process Optimization of the Flaring Gas for Field Applications

A model for booster station matching of gas turbine and gas compressor power under different ambient conditions

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