@article{MTMT:34511602,
	title = {A nukleárisüzemanyag-ellátás diverzifikációjának kérdései},
	url = {https://m2.mtmt.hu/api/publication/34511602},
	author = {Aszódi, Attila and Biró, Bence},
	journal-iso = {MAGYAR ENERGETIKA},
	journal = {MAGYAR ENERGETIKA},
	volume = {30},
	unique-id = {34511602},
	issn = {1216-8599},
	year = {2024},
	pages = {29-35}
}

@article{MTMT:34802224,
	title = {Investigating the role of nuclear power and battery storage in Hungary’s energy transition using hourly resolution electricity market simulations},
	url = {https://m2.mtmt.hu/api/publication/34802224},
	author = {Biró, Bence and Aszódi, Attila},
	doi = {10.1016/j.heliyon.2024.e29841},
	journal-iso = {HELIYON},
	journal = {HELIYON},
	volume = {10},
	unique-id = {34802224},
	year = {2024},
	eissn = {2405-8440},
	orcid-numbers = {Biró, Bence/0000-0002-7264-9293; Aszódi, Attila/0000-0002-4618-1076}
}

@article{MTMT:34568144,
	title = {PIV measurements for VVER pressurized water reactor rod bundle geometries including spacer grids for CFD model validations},
	url = {https://m2.mtmt.hu/api/publication/34568144},
	author = {Orosz, Gergely Imre and Kacz, Dániel and Magyar, Boglárka and Aszódi, Attila},
	doi = {10.1016/j.nucengdes.2024.112938},
	journal-iso = {NUCL ENG DES},
	journal = {NUCLEAR ENGINEERING AND DESIGN},
	volume = {419},
	unique-id = {34568144},
	issn = {0029-5493},
	abstract = {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)},
	keywords = {KINETICS; IMAGE VELOCIMETRY; GEOMETRY; Refractive index; Reynolds number; Kinetic energy; Computational fluid dynamics; flow visualization; Pressurized water reactors; Velocity measurement; particle image velocimetry; particle image velocimetry; Flow fields; Velocity distribution; Test facilities; 3D printing; Fuel assembly; Fuel assembly; Velocimeters; index of refraction; Matching index; CFD modell validation; Matching index of refraction; PIROUETTE system; VVER-1200 reactor; Computational fluid dynamic modell validation; Matching index of refraction; Particle images; PIROUETTE system; VVER-1200 reactor},
	year = {2024},
	eissn = {1872-759X},
	orcid-numbers = {Kacz, Dániel/0000-0002-6217-0481}
}

@article{MTMT:34580095,
	title = {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},
	url = {https://m2.mtmt.hu/api/publication/34580095},
	author = {Szondy, Borbála Nóra and Bodnár, Balázs and Grossetête, Alain and Gain, Thibaut and Aszódi, Attila},
	doi = {10.1016/j.nucengdes.2024.112965},
	journal-iso = {NUCL ENG DES},
	journal = {NUCLEAR ENGINEERING AND DESIGN},
	volume = {419},
	unique-id = {34580095},
	issn = {0029-5493},
	year = {2024},
	eissn = {1872-759X},
	orcid-numbers = {Szondy, Borbála Nóra/0009-0002-0458-8000}
}

@article{MTMT:34226198,
	title = {The effect of the future of nuclear energy on the decarbonization pathways and continuous supply of electricity in the European Union},
	url = {https://m2.mtmt.hu/api/publication/34226198},
	author = {Aszódi, Attila and Biró, Bence and Adorján, László and Dobos, Ádám Csaba and Illés, Gergely and Tóth, Norbert Krisztián and Zagyi, Dávid and Zsiborás, Zalán Tas},
	doi = {10.1016/j.nucengdes.2023.112688},
	journal-iso = {NUCL ENG DES},
	journal = {NUCLEAR ENGINEERING AND DESIGN},
	volume = {415},
	unique-id = {34226198},
	issn = {0029-5493},
	year = {2023},
	eissn = {1872-759X}
}

@inproceedings{MTMT:34104467,
	title = {Investigating the cooperation between nuclear power plants and renewable energy sources in Central Europe using high-resolution simulations},
	url = {https://m2.mtmt.hu/api/publication/34104467},
	author = {Biró, Bence and Aszódi, Attila},
	booktitle = {European Nuclear Young Generation Forum 2023: Book of proceedings},
	unique-id = {34104467},
	year = {2023},
	pages = {21-25}
}

@article{MTMT:33638869,
	title = {Probabilistic modeling of future electricity systems with high renewable energy penetration using machine learning},
	url = {https://m2.mtmt.hu/api/publication/33638869},
	author = {Mayer, Martin János and Biró, Bence and Szücs, Botond and Aszódi, Attila},
	doi = {10.1016/j.apenergy.2023.120801},
	journal-iso = {APPL ENERG},
	journal = {APPLIED ENERGY},
	volume = {336},
	unique-id = {33638869},
	issn = {0306-2619},
	abstract = {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.},
	year = {2023},
	eissn = {1872-9118},
	orcid-numbers = {Mayer, Martin János/0000-0001-5631-6117}
}

@article{MTMT:33748176,
	title = {Thermal-hydraulic measurements and TRACE system code analysis performed on the natural circulation cooled BME Training Reactor},
	url = {https://m2.mtmt.hu/api/publication/33748176},
	author = {Ványi, András Szabolcs and Hursin, M. and Aszódi, Attila and Adorján, László and Biró, Bence and Magyar, Boglárka and Mészáros, Péter and Bozsó, Tamás Miklós and Czifrus, Szabolcs},
	doi = {10.1016/j.anucene.2023.109839},
	journal-iso = {ANN NUCL ENERGY},
	journal = {ANNALS OF NUCLEAR ENERGY},
	volume = {189},
	unique-id = {33748176},
	issn = {0306-4549},
	year = {2023},
	eissn = {1873-2100},
	orcid-numbers = {Hursin, M./0000-0002-1308-4464; Adorján, László/0000-0002-5515-4651; Magyar, Boglárka/0000-0002-0746-0160}
}

@misc{MTMT:32706959,
	title = {Orosz katonai erők Csernobilban - lehetséges hatások / Update: megnövekedett sugárzási szint a zónában},
	url = {https://m2.mtmt.hu/api/publication/32706959},
	author = {Aszódi, Attila},
	unique-id = {32706959},
	year = {2022}
}

@{MTMT:32736622,
	title = {Preliminary Thesis on the First Part of the ALLEGRO CFD Benchmark Exercise. ALLEGRO CFD BENCHMARK: PART 1: Flow Straightener Benchmark Description},
	url = {https://m2.mtmt.hu/api/publication/32736622},
	author = {Orosz, Gergely Imre and Mathias, Peireti and Magyar, Boglárka and Szerbák, Dániel and Kacz, Dániel and Kiss, Béla and Zsíros, Gábor and Aszódi, Attila},
	unique-id = {32736622},
	year = {2022},
	orcid-numbers = {Kacz, Dániel/0000-0002-6217-0481}
}