Amirkabir University of TechnologyAdvances in Energy Sciences and Technologies3115-91171220250901A Theoretical examination of source back-scattering, self-absorption phenomena, and size evaluation in betavoltaic cells146161579010.22060/aest.2025.5790ENHassanFathiDepartment of Energy Engineering and Physics, Amirkabir University of Technology, No. 350, Hafez Ave, Valiasr Square, Tehran 15875-4413, IranHosseinAfaridehDepartment of Energy Engineering and Physics, Amirkabir University of Technology, No. 350, Hafez Ave, Valiasr Square, Tehran 15875-4413, IranFereydounAbbasi DavaniRadiation Application Department, Shahid Beheshti University, Shahid Shahriari Square, Evin, Tehran 1983969411, IranMinaAmirmazlaghaniNano Electronics Lab (NEL), Shahid Rajaee Teacher Training University, Shahid Shabanlou St., Lavizan, Tehran 16785-163, IranJournal Article20250418The effect of source backscattering and self-absorption on the basic parameters of a <sup>147</sup>Pm<sub>2</sub>O<sub>3</sub>/Si planar betavoltaic devices is covered. Calculations show that self-absorption loss can reach up to 31.579% of the actual activity and overall efficiency can be reduced from 4.361% to 4.274%. If self-absorption and source backscattering are considered together it is observed that the source backscattering factor compensates to some extent the reduction of the actual activity induced by the self-absorption and ultimately, overall conversion efficiency can reach up to 4.352%. Also, as a case study lower bounds on the size of planar and spherical betavoltaic cells are reported. Further, the effect of parameters such as nominal source curie content, the total number of fuel atoms in the division’s volume, total power released by the source, the maximum energy of beta particles, and semiconductor density in the size of the nuclear battery was investigated.https://aest.aut.ac.ir/article_5790_8763d72bba4a7ade23f9ae1f09f4efc7.pdfAmirkabir University of TechnologyAdvances in Energy Sciences and Technologies3115-91171220250901A review on efficiency enhancement of Silicon solar cells using nanomaterials162171578310.22060/aest.2025.5783ENAmirGholizadehPhysics Department, Faculty of Science, Imam Khomeini International University, PO Box: 34149-16818, Qazvin, IranAliReyhaniPhysics Department, Faculty of Science, Imam Khomeini International University, PO Box: 34149-16818, Qazvin, IranSeyed ZahraMortazaviPhysics Department, Amirkabir University of Technology, PO Box: 15875-4413, Tehran, IranParvizParvinPhysics Department, Amirkabir University of Technology, PO Box: 15875-4413, Tehran, IranJournal Article20250507Nanotechnology offers promising solutions to overcome current efficiency challenges of solar energy devices and significantly enhances both the generation and storage capabilities. Utilizing nanotechnology in solar cells has paved the way for the creation of advanced, high-performance products. In this article, we review advancements made in the application of some nanomaterials to enhance the performance of Si solar cells. Innovations in light trapping, surface passivation, and charge carrier dynamics are discussed, alongside breakthroughs in the fabrication of nanostructured Si solar cells.https://aest.aut.ac.ir/article_5783_634841a6831464b64c072c8510c7f35c.pdfAmirkabir University of TechnologyAdvances in Energy Sciences and Technologies3115-91171220250901Investigation of the effects of transient heat loads on plasma-facing materials in Tokamaks172185578010.22060/aest.2025.5780ENAliMasoudiDepartment of Physics and Energy Engineering, Amirkabir University of Technology, Hafez Ave, Valiasr Square, Tehran, 1591634311, IranDavoudIrajiDepartment of Physics and Energy Engineering, Amirkabir University of Technology, Hafez Ave, Valiasr Square, Tehran, 1591634311, Iran0000-0003-2933-4904ChaparRasouliPlasma Physics and Nuclear Fusion Research School, Nuclear Science and Technology Research Institute, North Kargar Ave, Tehran, 14155-1339, IranJournal Article20250502Nuclear fusion devices are constantly under the threat of malfunctions coming from the damages of plasma-facing materials due to being affected by thermal heat loads. The frequent heat loads during some transient events in large-scale Tokamaks have always been a great concern for researchers. In ITER, the heat load of <em>GW/m<sup>2</sup></em> is estimated to impose plasma-facing components during edge localized modes, beside the Tokamak steady state load which is about 20 <em>MW/m<sup>2</sup></em>. Moreover, there are also other transient thermal loads occurring due to off-normal operation of ITER such as vertical displacement events or disruptions, at the orders of hundreds of <em>MW/m<sup>2</sup></em> and tens of <em>GW/m<sup>2</sup></em>, respectively. These loads are great enough to result in severe damages of plasma-facing materials. In this study, the facture of tungsten material under the heat loads of Tokamaks is simulated and the results are presented.https://aest.aut.ac.ir/article_5780_294a8ed24b1ad22ec2e7efea049b8737.pdfAmirkabir University of TechnologyAdvances in Energy Sciences and Technologies3115-91171220250901Comprehensive modeling of radioactive gas tracer behavior for enhanced oil recovery optimization using a simulator186195579110.22060/aest.2025.5791ENAmir JavadPorbarDepartment of Energy Engineering and Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran 15875-4413, IranHosseinAfaridehDepartment of Energy Engineering and Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran 15875-4413, IranFariborzRashidiDepartment of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 159163-4311, IranJournal Article20250420In the oil and gas industry, radioactive tracers serve as effective tools for analyzing fluid flow and evaluating hydrocarbon reservoir behavior. These methods provide critical insights into fluid transport, swept pore volume, and hydrodynamic connectivity between injection and production wells, which are essential for optimizing reservoir management and designing enhanced oil recovery (EOR) projects. In this study, the behavior of radioactive gas tracers was simulated and analyzed in two distinct oil reservoirs, R1 and R2. In reservoir R1, the gas tracer CH<sub>3</sub>T was injected through injection well I, while in reservoir R2, the gas tracer CH<sub>2</sub>TCH<sub>3</sub> was utilized. The tracer responses were monitored in two production wells (P1 and P2) for each reservoir. By analyzing the tracer concentration curves over time, parameters such as swept pore volume in the gas phase, gas flow velocity, and hydrodynamic connectivity were determined for both reservoirs. The results revealed that in reservoir R1, production well P1 demonstrated the highest swept pore volume and tracer recovery, indicating a strong and direct connection with injection well I. Similarly, in reservoir R2, production well P1 exhibited superior connectivity and tracer recovery compared to P2. The comparison of these reservoirs highlights differences in gas transport dynamics and fluid flow behavior, which are influenced by reservoir-specific characteristics. These findings offer valuable insights into the design of enhanced oil recovery projects, emphasizing the importance of tailored reservoir management strategies based on tracer behavior.https://aest.aut.ac.ir/article_5791_05b0afd266cc205432b8dad3f3413c28.pdfAmirkabir University of TechnologyAdvances in Energy Sciences and Technologies3115-91171220250901Performance evaluation of PCM infiniteR29 and its impact on a single-family residential building: A case study in Jinan, China196214584010.22060/aest.2025.5840ENMohammadRezaMehdizade MarzebaliAmirkabir University of Technology, Tehran, IranMasoumehMohamadianAmirkabir University of Technology, Tehran, IranJournal Article20250918Global warming and climate change, primarily driven by CO₂ emissions from building energy consumption, pose significant environmental challenges. This study investigates the energy performance of a single-family residential building in Jinan, China—a city characterized by a temperate monsoon climate—using simulation-based methods. The baseline building model was developed in DesignBuilder, leveraging the EnergyPlus engine to estimate annual electricity, heating, and cooling demands. To enhance passive energy efficiency, Phase Change Material (PCM), specifically InfiniteR29, was incorporated into the external walls and roof. The impact of PCM integration was evaluated in terms of envelope heat flux, overall energy loads, and indoor air temperature regulation. Results indicate that the inclusion of PCM reduces annual heat flux through the building envelope by 19.7%, leading to reductions of 12.7% in heating load and 45.6% in cooling load. Furthermore, PCM application significantly moderates indoor temperature fluctuations during extreme weather conditions, achieving a peak temperature reduction of 2.4°C during summer and exhibiting a thermal lag effect. These findings confirm that properly selected PCMs can substantially improve envelope thermal stability, lower energy consumption, and enhance passive building performance in climates with substantial seasonal and diurnal temperature variations.https://aest.aut.ac.ir/article_5840_61d009da208a34ae155420e55f97abc7.pdfAmirkabir University of TechnologyAdvances in Energy Sciences and Technologies3115-91171220250901RoboPV: A modular system for enhancing the efficiency of autonomous aerial monitoring of photovoltaic plants215225584910.22060/aest.2025.5849ENAmir MohammadMoradi SizkouhiDepartment of Electrical and Computer Engineering, Concordia University, Montreal, CanadaMohammadrezaAghaeiDepartment of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology (NTNU), Ålesund, Norway;
Department of Sustainable Systems Engineering (INATECH), Albert Ludwigs University of Freiburg, Freiburg, GermanyMahdiKarimkhaniDepartment of Aerospace Engineering, Amirkabir University of Technology, Tehran, IranSayyed MajidEsmailifarDepartment of Aerospace Engineering, Amirkabir University of Technology, Tehran, IranJournal Article20250723This paper presents RoboPV, an innovative embedded software for autonomous aerial monitoring of photovoltaic (PV) plants. RoboPV automates monitoring with features like optimal trajectory planning, image processing, and real-time fault detection through four integrated components: boundary area detection, path planning, dynamic processing, and fault analysis. A specialized encoder-decoder deep learning model processes aerial images to identify plant boundaries, while a unique path planning algorithm ensures complete area coverage. During flights, a neural network analyzes images for automatic fault detection. RoboPV also includes decision-making algorithms for various flight conditions, is compatible with low-power micro-computers, and supports the MAVLink protocol for multi-rotor operations. A six-degrees-of-freedom dynamic model was tested in a SIMULINK environment, achieving 93% accuracy in autonomous inspections of large-scale PV installations.https://aest.aut.ac.ir/article_5849_1b388c8b7c863fde3f559142fdc123b0.pdf