Amirkabir University of TechnologyAdvances in Energy Sciences and Technologies3115-91171420260401Exergoeconomic analysis of a geo-thermal power-plant with a comparative optimization using classical, meta-heuristic and reinforcement learning algorithms and sensitivity analysis with machine learning approach324339603410.22060/aest.2026.25579.1004ENMahanAhmadi RahmatabadiDepartment of Energy Engineering and Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran, IranMohammad HosseinKarimDepartment of Energy Engineering and Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.SaeidTalebiDepartment of Energy Engineering and Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.MohsenMardaniACECR, Amirkabir University of Technology Branch, Tehran, Iran.Seyed HosseinHosseinianDepartment of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.Gevork B.GharehpetianDepartment of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.Journal Article20260106Geothermal energy is a clean and renewable source of energy with low impact on the environment and the ability to provide a continuous source of energy for electricity generation. In the current study, a detailed thermodynamic model of the geothermal power plant is developed, modelled and analyzed using the energy and exergy analysis methods in order to identify the major sources of irreversibility, efficiency reduction, and performance limitation within the geothermal power plant components. To improve the efficiency and performance of the geothermal power plant, a multi-objective optimization strategy using metaheuristic, classical, and reinforcement learning algorithms is implemented to maximize the net power and exergy efficiency, and the investment and operation costs are minimized. The results are useful for the optimal design and development of efficient and cost-effective geothermal power plants using the capabilities of the optimization algorithms to obtain an effective compromise between the thermodynamic and cost-based performance parameters.https://aest.aut.ac.ir/article_6034_78421a2e0e1168e5cd1b7a8d23773ce6.pdfAmirkabir University of TechnologyAdvances in Energy Sciences and Technologies3115-91171420260401Crack evolution on plasma-facing materials under the heat loads of tokamaks340348603510.22060/aest.2026.25423.1003ENAliMasoudiDepartment of Physics and Energy Engineering, Amirkabir University of Technology, Tehran, Iran0000-0001-5672-0734DavoudIrajiDepartment of Physics and Energy Engineering, Amirkabir University of Technology, Tehran, Iran0000-0003-2933-4904ChaparRasouliPlasma Physics and Nuclear Fusion Research School, Nuclear Science and Technology Research Institute, Iran0000-0001-7782-804XJournal Article20260110Crack formation in plasma-facing materials (PFMs) under extreme transient heat loads poses a critical challenge for tokamak operation. This study investigates crack initiation and propagation in tungsten PFMs subjected to high transient heat fluxes using finite element simulations based on the Johnson–Cook constitutive model. Simulations were conducted for heat loads of 100 MJ/m² and 60 MJ/m² to capture the effects of both load amplitude and exposure time. At 100 MJ/m², cracks initiated at 0.15 s from the sample edges and propagated symmetrically toward the center, eventually leading to surface delamination. For 60 MJ/m², crack initiation was delayed to 0.5 s, with slower propagation and less extensive damage, demonstrating the strong dependence of crack evolution on both thermal load and duration. The analysis revealed that Mode I (opening mode) cracking predominates, driven by load gradients between surface and subsurface elements. These results provide quantitative insight into the thresholds for structural instability in tungsten PFMs and highlight the critical role of transient thermal stresses in predicting material performance under tokamak conditions. The findings offer valuable guidance for the design, selection, and engineering of PFMs in future fusion reactors.https://aest.aut.ac.ir/article_6035_4639475d6782a08c1e964f9a4329a254.pdfAmirkabir University of TechnologyAdvances in Energy Sciences and Technologies3115-91171420260401Techno-economic-environmental evaluation of a hybrid energy system in a residential building integrated renewable energies and comparison of different climate conditions349370603710.22060/aest.2026.25836.1005ENMohammadRezaMehdizade MarzebaliDepartment of Energy Engendering and Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.MasoumehMohamadianDepartment of Energy Engendering and Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.0000-0001-9964-1462Journal Article20260103The purpose of this research is to investigate the technical, economic, and environmental aspects of the use of distributed and renewable production resources which causes reducing the reliance on fossil resources and greenhouse gas emissions. Also, examining the participation rate of renewable energies in supplying electricity, heating and cooling required by consumers, as well as technical and economic examination of the establishment of hybrid systems. Design Builder software has been employed to simulate and obtain the building’s electrical, heating and cooling loads. In the next step, after simulating the exist in conditions, the potential of renewable energies such as solar and wind energy and their combination with the simultaneous production system to supply the building’s load was investigated. HOMER Pro software has been employed to simulate renewable energies. The results indicate that the energy system in Tarifa with 0.318 $/kWh has a more expensive Levelized Cost of Energy (LCOE) rather than Basrah with 0.205 $/kWh. Additionally, the Net Present Cost (NPC) for Basrah and Tarifa is $ 5,557,327 and $ 6,542,097, respectively. Optimized system con-figurations reveal that this system in Basrah generates 728,341kg of CO2 annually while in Tarifa produces 280,702 kg of CO2 annually. The optimal size of the wind turbine, photovoltaic, diesel generator, battery, and converter, are 102 Units, 495 kW, 1200 kW, 994 Strings, 416 kW for Basrah and 87 Units, 393 kW, 910 kW, 785 Strings, and 471 kW for Tarifa.https://aest.aut.ac.ir/article_6037_8b2a9c176d358811a479f771a5874c1b.pdfAmirkabir University of TechnologyAdvances in Energy Sciences and Technologies3115-91171420260401Plasma-based techniques for clean and efficient hydrogen generation: A comprehensive review371402603810.22060/aest.2026.25852.1006ENSimaEalanlooDepartment of Energy Engineering and Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.FatemehAhmadinouriDepartment of Energy Engineering and Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.0000-0001-7185-2479ParvinParvizDepartment of Energy Engineering and Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.Journal Article20260130Hydrogen is widely regarded as a promising clean energy carrier because of its high energy density and carbon-free utilization. This review presents a comprehensive overview of plasma-based techniques for hydrogen generation from water, methane, and other hydrocarbons, with emphasis on laser-induced plasma (LIP), spark discharge-assisted laser-induced plasma (SD-LIP), dielectric barrier discharge (DBD), corona discharge, microwave (MW) plasma, radio-frequency (RF) plasma, and glow/abnormal glow (GA/RGA) discharge systems. These methods provide highly reactive environments that promote molecular dissociation and hydrogen formation under relatively mild conditions. Particular attention is given to hybrid laser–spark approaches, which can enhance plasma density, prolong plasma lifetime, improve conversion efficiency, and reduce energy consumption. The review also compares the main plasma configurations in terms of operating principles, hydrogen yield, efficiency, and practical applicability. Overall, plasma-based routes show strong potential as flexible and sustainable alternatives for next-generation hydrogen generation.https://aest.aut.ac.ir/article_6038_6bb56208f672af0dd65451f869fedfd9.pdf