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Keywords: genetic algorithm
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Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. January 2023, 145(1): 013401.
Paper No: JERT-22-1049
Published Online: October 25, 2022
... response, and conducting a blind test to ensure the model performance and generality. This proxy is then coupled with the genetic algorithm to find an optimal well configuration in a test case. Verifying the results obtained by our proxy with those of a commercial simulator shows that the objectives...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. March 2023, 145(3): 033202.
Paper No: JERT-21-1848
Published Online: October 3, 2022
... Contributed by the Petroleum Division of ASME for publication in the J ournal of E nergy R esources T echnology . 11 10 2021 16 08 2022 17 08 2022 03 10 2022 subsurface engineering multi-objective optimization genetic algorithm oil recovery petroleum reservoir hydrates...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. December 2022, 144(12): 122302.
Paper No: JERT-22-1107
Published Online: June 6, 2022
... model for BSNOx were combined with a genetic algorithm (GA) to generate the Pareto-optimal front. The results proved the concept of using a hybrid statistical approach (DoE + ANN) with GA as an effective tool to generate a range of compromise design solutions. By extracting designs along the Pareto...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. March 2022, 144(3): 033009.
Paper No: JERT-21-1713
Published Online: January 7, 2022
... gas directly affect the gas recovery. The optimal injection time is determined as the depleted stage, and the corresponding injection rate is optimized by using a genetic algorithm (GA) integrated with TOUGH2. The optimization of CO 2 injection parameters leads to recovery factors (RFs) reaching 62.83...
Includes: Supplementary data
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. July 2021, 143(7): 072106.
Paper No: JERT-20-1832
Published Online: April 26, 2021
... optimization of the above cycle is carried out using nondominated sorting genetic algorithm-II (NSGA-II). The optimal solutions given by the Pareto frontier are further assessed through widely used decision makers namely LINMAP, TOPSIS, and Bellman–Zadeh techniques. The optimal solutions attained...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Energy Resour. Technol. February 2021, 143(2): 024502.
Paper No: JERT-19-1552
Published Online: August 13, 2020
... are optimized to maximize the electrical efficiency of the PV system. Due to non-convex nature of the objective function, the Genetic algorithm is employed to get the solutions. Simulation results show that the optimized water flowrate for a given interval duration minimizes the consumed power in pumping system...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. October 2020, 142(10): 102102.
Paper No: JERT-20-1009
Published Online: May 21, 2020
... of ASME for publication in the J ournal of E nergy R esources T echnology . 02 01 2020 18 04 2020 18 04 2020 21 05 2020 energy heat load neural network genetic algorithm energy conversion/systems energy systems analysis Currently, the dominant energy...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Energy Resour. Technol. August 2019, 141(8): 081901.
Paper No: JERT-17-1585
Published Online: January 30, 2019
...Shahram Derakhshan; Mohammadreza Khosravian In this paper, a parabolic trough solar collector (PTSC) plant is combined with a liquid air energy storage (LAES) system. The genetic algorithm (GA) is used to optimize the proposed system for different air storage mass flow rates. The roundtrip exergy...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Energy Resour. Technol. April 2019, 141(4): 042007.
Paper No: JERT-18-1363
Published Online: December 24, 2018
... methods ineffective and improbable. Therefore, the process was optimized by genetic algorithm (GA) method, which is one of the most powerful methods. The optimum values for the number of cooling tubes, feed and cooling water temperatures were 308, 507.6 K, and 522.43 K, respectively. The optimization...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Energy Resour. Technol. September 2014, 136(3): 031301.
Paper No: JERT-12-1216
Published Online: May 13, 2014
... need to quickly respond to sudden and large steam load changes. However, fast changes in the firing rate cause transient changes in both the drum-boiler steam pressure and drum level, in addition to the potential of developing of thermal stresses in the walls of steam risers. A genetic algorithm (GA...
Journal Articles