TY - JOUR AU - Aszódi, Attila AU - Biró, Bence TI - A nukleárisüzemanyag-ellátás diverzifikációjának kérdései JF - MAGYAR ENERGETIKA J2 - MAGYAR ENERGETIKA VL - 30 PY - 2024 IS - 4 SP - 29 EP - 35 PG - 7 SN - 1216-8599 UR - https://m2.mtmt.hu/api/publication/34511602 ID - 34511602 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Biró, Bence AU - Aszódi, Attila TI - Investigating the role of nuclear power and battery storage in Hungary’s energy transition using hourly resolution electricity market simulations JF - HELIYON J2 - HELIYON VL - 10 PY - 2024 IS - 9 SP - e29841 SN - 2405-8440 DO - 10.1016/j.heliyon.2024.e29841 UR - https://m2.mtmt.hu/api/publication/34802224 ID - 34802224 LA - English DB - MTMT ER - TY - JOUR AU - Orosz, Gergely Imre AU - Kacz, Dániel AU - Magyar, Boglárka AU - Aszódi, Attila TI - PIV measurements for VVER pressurized water reactor rod bundle geometries including spacer grids for CFD model validations JF - NUCLEAR ENGINEERING AND DESIGN J2 - NUCL ENG DES VL - 419 PY - 2024 PG - 23 SN - 0029-5493 DO - 10.1016/j.nucengdes.2024.112938 UR - https://m2.mtmt.hu/api/publication/34568144 ID - 34568144 N1 - Export Date: 9 February 2024 CODEN: NEDEA Correspondence Address: Orosz, G.I.; Institute of Nuclear Techniques, Műegyetem rkp. 3, Hungary; email: orosz@reak.bme.hu Funding details: OAH-ABA-02/22-M, OAH-ABA-25/19-M, OAH-ABA-27/20-M Funding text 1: The project was supported by the Hungarian Atomic Energy Authority Agreements [under grant No. OAH-ABA-25/19-M, OAH-ABA-27/20-M, OAH-ABA-02/22-M]. AB - A PIV (Particle Image Velocimetry) test facility called PIROUETTE (PIv ROd bUndlE Test faciliTy at bmE) has been built at BME (Budapest University of Technology and Economics) NTI (Institute of Nuclear Techniques). The facility is capable of investigating of flow processes under isothermal conditions with different type triangular lattice seven-rod bundles. The currently investigated rod bundle is featuring spacer grids and hydraulic conditions related to the VVER-1000 and VVER-1200 fuel assemblies. This small bundle of 7 rods is a geometrically accurate representation of a piece of the real reactor's fuel bundle, including the spacer grids. These spacer grids were 3D printed from a special type of plastic for the PIV experiments in order to reproduce the real geometry inside the assemblies as accurately as possible. The effect of the spacer grids with vanes (which are located on the spacer grid belt section) was investigated using different test grid configurations. The measurements aimed to capture high resolution flow fields inside the rod bundle with MIR (Matching Index of Refraction), in order to enable the flow measurements even within the bundle, where usually the flow field is not visible. For this purpose, the geometry was manufactured using special transparent materials. The detailed, high resolution experimental data could be used for CFD (Computational Fluid Dynamics) benchmarking and code validation, and therefore can serve the further safe and reliable operation of these reactors. The results include velocity field, velocity standard deviations (RMS), Reynolds stress and turbulent kinetic energy distributions extracted from the measured data. The attachments include the 3D model of the experimental geometry, measured velocity distributions and other parameters along various monitor lines. © 2024 The Author(s) LA - English DB - MTMT ER - TY - JOUR AU - Szondy, Borbála Nóra AU - Bodnár, Balázs AU - Grossetête, Alain AU - Gain, Thibaut AU - Aszódi, Attila TI - Review of solutions developed for improving maneuvering flexibility in German, French and Russian PWRs targeting to explore future possibilities for the new VVER-1200 nuclear power plant units in Hungary JF - NUCLEAR ENGINEERING AND DESIGN J2 - NUCL ENG DES VL - 419 PY - 2024 PG - 16 SN - 0029-5493 DO - 10.1016/j.nucengdes.2024.112965 UR - https://m2.mtmt.hu/api/publication/34580095 ID - 34580095 N1 - Funding Agency and Grant Number: Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund, Hungary [NVKDP-2021]; Framatome Funding text: The research is founded by the Cooperative Doctoral Programme - National Defence Subprogramme (NVKDP-2021) Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund, Hungary. The study was also supported by Framatome and the contribution of Framatome experts from different departments (France, Germany, Finland, Hungary). LA - English DB - MTMT ER - TY - JOUR AU - Aszódi, Attila AU - Biró, Bence AU - Adorján, László AU - Dobos, Ádám Csaba AU - Illés, Gergely AU - Tóth, Norbert Krisztián AU - Zagyi, Dávid AU - Zsiborás, Zalán Tas TI - The effect of the future of nuclear energy on the decarbonization pathways and continuous supply of electricity in the European Union JF - NUCLEAR ENGINEERING AND DESIGN J2 - NUCL ENG DES VL - 415 PY - 2023 SN - 0029-5493 DO - 10.1016/j.nucengdes.2023.112688 UR - https://m2.mtmt.hu/api/publication/34226198 ID - 34226198 N1 - Export Date: 2 November 2023 CODEN: NEDEA Correspondence Address: Aszódi, A.; Budapest University of Technology and Economics, Műegyetem rkp. 9. R. 317, Hungary; email: aszodi@reak.bme.hu LA - English DB - MTMT ER - TY - CHAP AU - Biró, Bence AU - Aszódi, Attila TI - Investigating the cooperation between nuclear power plants and renewable energy sources in Central Europe using high-resolution simulations T2 - European Nuclear Young Generation Forum 2023: Book of proceedings PB - Polish Nuclear Society CY - Warsaw SN - 9788366559080 PY - 2023 SP - 21 EP - 25 PG - 5 UR - https://m2.mtmt.hu/api/publication/34104467 ID - 34104467 LA - English DB - MTMT ER - TY - JOUR AU - Mayer, Martin János AU - Biró, Bence AU - Szücs, Botond AU - Aszódi, Attila TI - Probabilistic modeling of future electricity systems with high renewable energy penetration using machine learning JF - APPLIED ENERGY J2 - APPL ENERG VL - 336 PY - 2023 PG - 23 SN - 0306-2619 DO - 10.1016/j.apenergy.2023.120801 UR - https://m2.mtmt.hu/api/publication/33638869 ID - 33638869 N1 - Department of Energy Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3, Budapest, H-1111, Hungary Institute of Nuclear Techniques, Faculty of Natural Sciences, Budapest University of Technology and Economics, Műegyetem rkp. 9, Budapest, H-1111, Hungary Correspondence Address: Mayer, M.J.; Department of Energy Engineering, Műegyetem rkp. 3, Hungary; email: mayer@energia.bme.hu AB - The increasing penetration of weather-dependent renewable energy generation calls for high-resolution modeling of the possible future energy mixes to support the energy strategy and policy decisions. Simulations relying on the data of only a few years, however, are not only unreliable but also unable to quantify the uncertainty resulting from the year-to-year variability of the weather conditions. This paper presents a new method based on artificial neural networks that map the relationship between the weather data from atmospheric reanalysis and the photovoltaic and wind power generation and the electric load. The regression models are trained based on the data of the last 3 to 6 years, and then they are used to generate synthetic hourly renewable power production and load profiles for 42 years as an ensemble representation of possible outcomes in the future. The modeled profiles are post-processed by a novel variance-correction method that ensures the statistical similarity of the modeled and real data and thus the reliability of the simulation based on these profiles. The probabilistic modeling enabled by the proposed approach is demonstrated in two practical applications for the Hungarian electricity system. First, the so-called Dunkelflaute (dark doldrum) events, are analyzed and categorized. The results reveal that Dunkelflaute events most frequently happen on summer nights, and their typical duration is less than 12 h, even though events ranging through multiple days are also possible. Second, the renewable energy supply is modeled for different photovoltaic and wind turbine installed capacities. Based on our calculations, the share of the annual power consumption that weather-dependent renewable generation can directly cover is up to 60% in Hungary, even with very high installed capacities and overproduction, and higher carbon-free electricity share targets can only be achieved with an energy mix containing nuclear power and renewable sources. The proposed method can easily be extended to other countries and used in more detailed electricity market simulations in the future. LA - English DB - MTMT ER - TY - JOUR AU - Ványi, András Szabolcs AU - Hursin, M. AU - Aszódi, Attila AU - Adorján, László AU - Biró, Bence AU - Magyar, Boglárka AU - Mészáros, Péter AU - Bozsó, Tamás Miklós AU - Czifrus, Szabolcs TI - Thermal-hydraulic measurements and TRACE system code analysis performed on the natural circulation cooled BME Training Reactor JF - ANNALS OF NUCLEAR ENERGY J2 - ANN NUCL ENERGY VL - 189 PY - 2023 SN - 0306-4549 DO - 10.1016/j.anucene.2023.109839 UR - https://m2.mtmt.hu/api/publication/33748176 ID - 33748176 LA - English DB - MTMT ER - TY - GEN AU - Aszódi, Attila TI - Orosz katonai erők Csernobilban - lehetséges hatások / Update: megnövekedett sugárzási szint a zónában PY - 2022 UR - https://m2.mtmt.hu/api/publication/32706959 ID - 32706959 LA - Hungarian DB - MTMT ER - TY - DATA AU - Orosz, Gergely Imre AU - Mathias, Peireti AU - Magyar, Boglárka AU - Szerbák, Dániel AU - Kacz, Dániel AU - Kiss, Béla AU - Zsíros, Gábor AU - Aszódi, Attila TI - Preliminary Thesis on the First Part of the ALLEGRO CFD Benchmark Exercise. ALLEGRO CFD BENCHMARK: PART 1: Flow Straightener Benchmark Description TS - ALLEGRO CFD BENCHMARK: PART 1: Flow Straightener Benchmark Description PY - 2022 UR - https://m2.mtmt.hu/api/publication/32736622 ID - 32736622 LA - English DB - MTMT ER -