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Item type:Publication, Development of an evolutionary artificial neural network-based tool for selecting suitable enhanced oil recovery methods(Springer Science and Business Media Deutschland GmbH, 2022-04-01)Enhanced oil recovery (EOR) methods are proven oil recovery processes that allow mature oil fields rejuvenating and increasing their production to economically profitable quantities. The main issues associated with the implementation in practice of these methods relate to their complexity, long implementation periods, economic risks, and high investments. As a result, companies interested in using these EOR methods carry out exhaustive selection processes before embarking on a project of this category. Accordingly, in this work, for selecting the most suitable EOR method for a given mature oil field, a reliable and user-friendly computational tool is developed. This tool allows identifying, based on seven reservoir fluid and rock parameters, the EOR method with the highest probability of implementation success. In the development of the referred EOR methods selection tool, an evolutionary artificial neural network-based approach is utilized, which allows the associated neural network architecture having a relatively high performance. Indeed, the referred tool allows identifying, with an accuracy of up to 94.0%, the EOR method with the highest probability of success. Compared to previous tools, the one developed in this work features a database involving a larger number (eight) of commercial EOR methods. The application of the developed tool to a specific mature field shows its usefulness for selecting the most suitable EOR method for the referred oil field. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design optimization methodology of small horizontal axis wind turbine blades using a hybrid CFD/BEM/GA approach(Springer Science and Business Media Deutschland GmbH, 2022-06-01)In this work, a comprehensive methodology for wind turbine blade design optimization is proposed. Accordingly, a numerical model based on computational fluid dynamics (CFD) has been initially coupled to a genetic algorithm (GA)-based optimization tool. Next, several optimization processes of a wind turbine blade mid-span airfoil have been carried out using the coupled tool. Finally, using the optimum airfoil and blade element momentum (BEM) theory, a wind turbine rotor has been designed and different rotor analyses at design and off-design point conditions have been carried out. Wind turbine blades operating at a 6 m/s wind speed and rated at a 5 kW power output are particularly considered. The use of aerodynamic characteristics of a blade mid-span airfoil for wind turbine blade design and optimization represents one the main features of the methodology developed here. The optimization results show that the determined optimum airfoil features better lift to drag ratios than a NACA 4412 one. From the design of the 5 kW power output wind turbine, blade lengths of 5.244 m were obtained. For the design point regarding a tip speed ratio of 6, a maximum power coefficient (Cp) of 0.4658 was computed. The aerodynamic analysis carried out at design and off-design conditions show consistent results compared to past works. The results confirm that a representative airfoil located between 25 and 90% of the blade span can be designed and optimized to obtain improved Cp and power output horizontal axis wind turbines. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Genetic algorithms-based size optimization of directly and indirectly coupled photovoltaic-electrolyzer systems(Elsevier Ltd, 2022-10-15)Since relatively high costs and low efficiencies are usually associated with photovoltaic-electrolyzer (PV-EL) systems, the coupling of a PV system to an EL one is a critical aspect when sizing PV-EL systems. Accordingly, using a genetic algorithms-based optimization approach and considering a hydrogen production target of 100 g per day, the size of different directly and indirectly coupled PV-EL systems is optimized in this work. The referred optimization processes are carried out for five PV-EL system configurations, one related to directly coupled systems and four (one per each DC/DC converter topology accounted for) to indirectly coupled ones. In addition, seeking to maximize hydrogen production, minimize losses, and increase system efficiency, four objective functions are assessed. Some of the results highlight that, when using system cost and overall efficiency as objective functions, properly sized indirectly coupled PV-EL systems feature lower implementation costs than directly coupled ones. In addition, the differences in the overall efficiencies characterizing the optimum directly and indirectly coupled PV-EL systems so determined are relatively small (>1%). One of the original contributions of this work relates to the fact that this is one of the first works dealing with optimization processes of both directly and indirectly coupled PV-EL systems, where optimum system configurations are compared with each other.