| 1. |
- Chelgani, Saeed Chehreh, et al.
(author)
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Estimation of some coal parameters depending on petrographic and inorganic analyses by using Genetic algorithm and adaptive neuro-fuzzy inference systems
- 2011
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In: Energy Exploration and Exploitation. - : Multi-Science Publishing. - 0144-5987 .- 2048-4054. ; 29:4, s. 479-494
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Journal article (peer-reviewed)abstract
- Adaptive neuro-fuzzy inference systems (ANFIS) in combination with genetic algorithm (GA); provide valuable modeling approaches of complex systems for a wide range of coal samples. Evaluation of this combination (GA-ANFIS) showed that the GA-ANFIS approach can be utilized as an efficient tool for describing and estimating some of coal variables such as Hardgrove grindability index, gross calorific value, free swelling index, and maximum vitrinite reflectance with various coal analyses (proximate, ultimate, elemental, and petrographic analysis). Statistical factors (correlation coefficient, mean square error, and variance accounted for) and differences between actual and predicted values demonstrated that the GA-ANFIS can be applied successfully, and provide high accuracy for prediction of those coal variables.
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| 2. |
- Anukam, Anthony, et al.
(author)
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Characterization and the effect of lignocellulosic biomass value addition on gasification efficiency
- 2016
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In: Energy exploration & exploitation. - : Sage Publications. - 0144-5987 .- 2048-4054. ; 34:6, s. 865-880
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Journal article (peer-reviewed)abstract
- Value addition to lignocellulosic biomass materials such as sugarcane bagasse to produce multiple bio-based products which includes synthesis gas is becoming a dynamic research area. Pre-treatment techniques to improve the quality of biomass are essential for the successful application of the feedstock in energy production systems. This study investigated changes in the composition of sugarcane bagasse subjected to torrefaction as a preparation of bagasse for gasification. Characterization of the torrefied bagasse was undertaken in terms of proximate and ultimate analyses as well as in terms of energy value. The results were used to conduct a computer simulation of the gasification process of the torrefied bagasse. The gasification process results confirmed that torrefied bagasse is a suitable feedstock for gasification in terms of conversion efficiency, which was found to be approximately 42% when compared to untorrefied sugarcane bagasse, with a conversion efficiency of about 40% achieved in our previous study.
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| 3. |
- Gebresenbet, Girma
(author)
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Hybridized Renewable Energy for Smart Vehicle-to-Grid (V2G) Systems
- 2024
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In: Energy Exploration & Exploitation. - 0144-5987 .- 2048-4054. ; 42, s. 292-308
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Journal article (peer-reviewed)abstract
- Wind and sunlight are increasingly being exploited as energy supplies that never run out. Additionally, renewable energy resources, including sun, wind, and geothermal heat, are being used for different technologies. It was considered the use of hybridized wind-solar energy resources in smart vehicle technology. A thorough understanding of an integrated framework of the hybridized renewable energy for smart vehicle-to-grid (V2G) systems is essential and required to further identify and perhaps maximize existing opportunities. Aiming to develop a vehicle-to-grid (V2G) system where the smart vehicle runs on stored sunshine and wind energy, and vehicle batteries store energy and release it to the electricity grid in peak demand periods. To achieve this aim, mathematical models for solar and wind systems were created and entire 24-h simulations were run for case studies of three smart vehicles, which were assessed for different scenarios and circumstances, using the MATLAB/SIMULINK environment. The estimated values obtained were home load 10 MW, power factor 0.15 MVA, industrial load 0.16 MVA, and smart car-to-grid, solar panel farm, and wind farm power of 4 MW, 8 MW, and 4.5 MW, respectively. Therefore, the hybridized wind-solar energy sources were applicable for all three smart vehicles considered.
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| 4. |
- Koyi, Hemin, et al.
(author)
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Formation of multiple basins above low-angle detachments; a centrifuge-model approach.
- 2001
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In: Energy exploration & exploitation. - : SAGE Publications. - 0144-5987 .- 2048-4054. ; 19:4, s. 365-374
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Journal article (peer-reviewed)abstract
- Extended scaled centrifuge models, simulating lithospheric deformation, show that depocenters of sedimentary basins, formed above lithospheric detachment zones, migrate both in space and time. If associated with a low-angle mantle detachment, this migration results in formation of multiple basins from a single phase of model extension. Unlike the multiple detachment model proposed for formation of multiple basins or models invoking transtensional deformation, the current analogue models suggest that multiple basins may form due to continuous displacement along one single low-angle detachment during orthogonal rifting. Model results suggest that the geometry and location of sedimentary basins are strongly dependent on the coupling between the upper crust and mantle lithosphere by the ductile lower crust, and the dip of the prescribed "fault/shear zone" in the mantle lithosphere. Steeply dipping lithospheric detachment enhances coupling and hence formation of a single basin in the upper crust above the maximum asthenospheric upwelling in the centre of the rift. In contrast, low-angle detachment in the lithosphere promotes decoupling of the upper crust and any resulting basins from the underlying mantle lithosphere. The dip angle of the mantle detachment affects both location and geometry of the basin. A low-angle shear zone in the mantle lithosphere decouples the broad sag in the upper crust, whereas a steep shear zone promotes coupling and initiates narrow, but deep basins.
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