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Journal articles on the topic 'Thermal-hydraulic modeling'

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Author: Grafiati

Published: 14 March 2023

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1

Li, Dong, Sujun Dong, Jun Wang, and Yunhua Li. "Temperature Dynamic Characteristics Analysis and Thermal Load Dissipation Assessment for Airliner Hydraulic System in a Full Flight Mission Profile." Machines 10, no. 4 (April 2, 2022): 258. http://dx.doi.org/10.3390/machines10040258.

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This paper deals with the modeling of the thermal load and the simulation of thermal dynamic characteristics for the hydraulic system of a large airliner in a full mission profile. Firstly, the formation mechanism of the thermal load in the hydraulic system is analyzed, and thermal dynamic modeling is conducted of the hydraulic components of an hydraulic system with an immersed heat exchanger employing the lumped parameter thermal node method and oil temperature and power loss of each key node within the hydraulic system within a full mission profile. Then, a thermal dynamic simulation model based on MATLAB/Simulink is established, and the temperatures at the nodes of different components and the absorptive capacity of the fuel heat sink in the thermal management module are calculated. The simulation results show that the thermal management scheme of the heat exchanger, located in the return oil pipeline of the hydraulic piston pump housing and immersed in the central fuel tank, can dissipate the thermal load of the system. This work is of important significance for temperature analysis and thermal load dissipation of the airliner hydraulic system.

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2

Oriolo, F., W. Ambrosini, G. Fruttuoso, F. Parozzi, and R. Fontana. "Thermal-Hydraulic Modeling and Severe Accident Radionuclide Transport." Nuclear Technology 112, no. 2 (November 1995): 238–49. http://dx.doi.org/10.13182/nt95-a35177.

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3

LI, Cheng-gong, and Zong-xia JIAO. "Thermal-hydraulic Modeling and Simulation of Piston Pump." Chinese Journal of Aeronautics 19, no. 4 (November 2006): 354–58. http://dx.doi.org/10.1016/s1000-9361(11)60340-3.

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4

Jiang, S. Y., X. X. Wu, Y. J. Zhang, and H. J. Jia. "Thermal hydraulic modeling of a natural circulation loop." Heat and Mass Transfer 37, no. 4-5 (July 1, 2001): 387–95. http://dx.doi.org/10.1007/s002310000136.

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5

Sunagatullin, Rustam Z., Rinat M. Karimov, Radmir R. Tashbulatov, and Boris N. Mastobaev. "Modeling the thermal-hydraulic effect of wax layer." SCIENCE & TECHNOLOGIES OIL AND OIL PRODUCTS PIPELINE TRANSPORTATION 9, no. 2 (April 30, 2019): 158–62. http://dx.doi.org/10.28999/2541-9595-2019-9-2-158-162.

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6

Hu, Jun-ping, and Ke-jun Li. "Thermal-hydraulic modeling and analysis of hydraulic system by pseudo-bond graph." Journal of Central South University 22, no. 7 (July 2015): 2578–85. http://dx.doi.org/10.1007/s11771-015-2787-0.

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7

Li, Dong, Sujun Dong, Jun Wang, and Yunhua Li. "Thermal dynamics and thermal management strategy for a civil aircraft hydraulic system." Thermal Science 24, no. 4 (2020): 2311–18. http://dx.doi.org/10.2298/tsci2004311l.

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Addressing the growing severe heat-generation and temperature-rise issues of the civil aircraft hydraulic system, this paper proposes a thermal dynamic model and thermal management strategies for the system within full mission profile. Firstly, a new thermal dynamic modeling towards general hydraulic components is conducted. Secondly, thermal dynamic governing equations are derived. Then a thermal management mechanism of the system is proposed. The conducted research is prerequisite to future numerical simulation of the thermal dynamic characteristics, evaluation and improvement of thermal management strategies for the system.

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8

Khater, H., T. Abu-El-Maty, and S. El-Din El-Morshdy. "Thermal-hydraulic modeling of reactivity accidents in MTR reactors." Kerntechnik 72, no. 1-2 (March 2007): 44–52. http://dx.doi.org/10.3139/124.100317.

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9

Khater, Hany, Talal Abu-El-Maty, and El-Din El-Morshdy. "Thermal-hydraulic modeling of reactivity accidents in MTR reactors." Nuclear Technology and Radiation Protection 21, no. 2 (2006): 21–32. http://dx.doi.org/10.2298/ntrp0602021k.

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This paper describes the development of a dynamic model for the thermal-hydraulic analysis of MTR research reactors during a reactivity insertion accident. The model is formulated for coupling reactor kinetics with feedback reactivity and reactor core thermal-hydraulics. To represent the reactor core, two types of channels are considered, average and hot channels. The developed computer program is compiled and executed on a personal computer, using the FORTRAN language. The model is validated by safety-related benchmark calculations for MTR-TYPE reactors of IAEA 10 MW generic reactor for both slow and fast reactivity insertion transients. A good agreement is shown between the present model and the benchmark calculations. Then, the model is used for simulating the uncontrolled withdrawal of a control rod of an ETRR-2 reactor in transient with over power scram trip. The model results for ETRR-2 are analyzed and discussed.

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10

Bottura, L. "Thermal, Hydraulic, and Electromagnetic Modeling of Superconducting Magnet Systems." IEEE Transactions on Applied Superconductivity 26, no. 3 (April 2016): 1–7. http://dx.doi.org/10.1109/tasc.2016.2544253.

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11

Oh, Chang H., Robert J. Kochan, Thomas R. Charlton, and Alain L. Bourhis. "Thermal-Hydraulic Modeling of Supercritical Water Oxidation of Ethanol." Energy & Fuels 10, no. 2 (January 1996): 326–32. http://dx.doi.org/10.1021/ef9500393.

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12

Han, Gee Y. "Mathematical dynamic modeling and thermal-hydraulic analysis of HANARO." International Communications in Heat and Mass Transfer 28, no. 5 (July 2001): 651–60. http://dx.doi.org/10.1016/s0735-1933(01)00269-x.

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13

Khater, Hany, Talal Abu-EL-Maty, and Salah El-Din EL-Morshdy. "Thermal-hydraulic modeling of reactivity accident in MTR reactors." Annals of Nuclear Energy 34, no. 9 (September 2007): 732–42. http://dx.doi.org/10.1016/j.anucene.2007.03.012.

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14

Krecicki, M., and D. Kotlyar. "Thermal hydraulic modeling of solid-fueled nuclear thermal propulsion reactors part II: Full-core coupled neutronic and thermal hydraulic analysis." Annals of Nuclear Energy 179 (December 2022): 109397. http://dx.doi.org/10.1016/j.anucene.2022.109397.

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15

Spasov, I., J. Donov, N. P. Kolev, and L. Sabotinov. "CATHARE Multi-1D Modeling of Coolant Mixing in VVER-1000 for RIA Analysis." Science and Technology of Nuclear Installations 2010 (2010): 1–11. http://dx.doi.org/10.1155/2010/457094.

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The paper presents validation results for multichannel vessel thermal-hydraulic models in CATHARE used in coupled 3D neutronic/thermal hydraulic calculations. The mixing is modeled with cross flows governed by local pressure drops. The test cases are from the OECD VVER-1000 coolant transient benchmark (V1000CT) and include asymmetric vessel flow transients and main steam line break (MSLB) transients. Plant data from flow mixing experiments are available for comparison. Sufficient mesh refinement with up to 24 sectors in the vessel is considered for acceptable resolution. The results demonstrate the applicability of such validated thermal-hydraulic models to MSLB scenarios involving thermal mixing, azimuthal flow rotation, and primary pump trip. An acceptable trade-off between accuracy and computational efficiency can be obtained.

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16

Kazeminejad, H. "Thermal-hydraulic modeling of flow inversion in a research reactor." Annals of Nuclear Energy 35, no. 10 (October 2008): 1813–19. http://dx.doi.org/10.1016/j.anucene.2008.05.006.

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17

Kazeminejad, H. "Thermal–hydraulic modeling of reactivity insertion in a research reactor." Annals of Nuclear Energy 45 (July 2012): 59–67. http://dx.doi.org/10.1016/j.anucene.2012.02.017.

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18

Han, Gee Y., Thomas P. Stanley, and Phillip A. Secker. "Thermal-hydraulic modeling and transient analysis of pressurized water reactors." International Communications in Heat and Mass Transfer 26, no. 7 (October 1999): 909–18. http://dx.doi.org/10.1016/s0735-1933(99)00080-9.

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19

Li, Kai, Zhong Lv, Kun Lu, and Ping Yu. "Thermal-hydraulic Modeling and Simulation of the Hydraulic System based on the Electro-hydrostatic Actuator." Procedia Engineering 80 (2014): 272–81. http://dx.doi.org/10.1016/j.proeng.2014.09.086.

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20

Mitrofanova, O. V., A. S. Bayramukov, O. A. Ivlev, D. S. Urtenov, and A. V. Fedorinov. "Modeling of Thermal-Hydraulic Processes in the Marine Power Installation Elements." Journal of Physics: Conference Series 1683 (December 2020): 022078. http://dx.doi.org/10.1088/1742-6596/1683/2/022078.

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21

El-Morshedy, Salah El-Din, and Ahmed Hassanein. "Transient thermal hydraulic modeling and analysis of ITER divertor plate system." Fusion Engineering and Design 84, no. 12 (December 2009): 2158–66. http://dx.doi.org/10.1016/j.fusengdes.2009.02.051.

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22

Han, Gee Y., and Phillip A. Seeker. "Mathematical modeling and transient thermal-hydraulic analysis of boiling water reactors." International Communications in Heat and Mass Transfer 26, no. 7 (October 1999): 899–908. http://dx.doi.org/10.1016/s0735-1933(99)00079-2.

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23

Thyageswaran, Sridhar. "Regeneration in an internal combustion engine: Thermal-hydraulic modeling and analysis." Applied Thermal Engineering 93 (January 2016): 174–91. http://dx.doi.org/10.1016/j.applthermaleng.2015.09.033.

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24

Abakumov, L. G., A. A. Vivdenko, A. K. Grezin, Yu G. Kropotin, and V. P. Morozov. "Modeling of thermal and hydraulic processes in self-contained air conditioners." Chemical and Petroleum Engineering 24, no. 7 (July 1988): 362–65. http://dx.doi.org/10.1007/bf01148265.

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25

Romanyuk, D. A., S. V. Panfilov, and D. S. Gromov. "Solution of the conjugate problem of gas dynamics and heat transfer in structures with a large ratio of geometric scale values." Journal of «Almaz – Antey» Air and Space Defence Corporation, no. 3 (September 30, 2017): 69–74. http://dx.doi.org/10.38013/2542-0542-2017-3-69-74.

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Within the scope of the research work, we have developed the methods and software package for solving the conjugate heat and hydraulic problems based on the classical approach to performing hydraulic calculations and modeling thermal processes by means of the finite volume method in the ANSYS Fluent software package. The developed means allowed us to efficiently calculate the thermal state of complex technical objects. The study gives mathematical formulation of the methods and suggests the results of their approbation and verification

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26

Krecicki, M., J. Wang, and D. Kotlyar. "Thermal hydraulic modeling of solid fueled nuclear thermal propulsion reactors Part I: Development and verification." Annals of Nuclear Energy 173 (August 2022): 109113. http://dx.doi.org/10.1016/j.anucene.2022.109113.

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27

Shalaginova, Zoya I., and Vyacheslav V. Tokarev. "Generalization of multi-level modeling methods for development and analysis of operating conditions of large heat supply systems." E3S Web of Conferences 39 (2018): 01003. http://dx.doi.org/10.1051/e3sconf/20183901003.

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The paper presents a methodology of multi-level modeling of thermal-hydraulic conditions of large heat supply systems on the basis of the scientific area of research – the theory of hydraulic circuits – that has been developed at MESI SB RAS. The essentials of the applied methods and also the mechanism of their integration with the up-to-date information technologies are described. In combination they make it possible to calculate operating conditions of heat supply systems (HSS) of arbitrary size and structure. The applied approach is based on the multi-level arrangement of data and single-and multi-level calculations. The latter, in turn, are based on application of the methods of equvalenting and decomposition of both the calculation schemes and problems. The methods for multi-level adjustment thermal-hydraulic calculations take into consideration all requirements for feasibility of conditions and are realized as the informationcomputing system (ICS) “ANGARA-TS”. The problems to be solved using the ICS and the technology for development of operating conditions are presented. The ICS is applied to sets of real HSS of big towns to develop conditions and adjustment measures. The composition of the solved tasks implemented in the ICS, the technology of development of operating conditions and an example of a multilevel modeling of the thermal-hydraulic conditions of the HSS in Petropavlovsk-Kamchatsky are presented.

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28

Joch, Lukas, and Roman Krautschneider. "VVER-440 Steam Generator’s Two-Phase Flow Analysis." Applied Mechanics and Materials 821 (January 2016): 57–62. http://dx.doi.org/10.4028/www.scientific.net/amm.821.57.

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The subject of this report is creation of three-dimensional thermal hydraulic model of horizontal steam generator for Dukovany nuclear power plant. A procedure is presented for simulation and analysis of secondary side of PGV-440 steam generator for nominal and increased reactor power. A two-fluid approach is applied for modeling physical processes inside the steam generator. Physical models were implemented in ANSYS Fluent CFD environment using User Defined Functions (UDFs). Results from this thermal hydraulic numerical model can be used for various other subsequent nuclear power plant operations and safety analysis.

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29

Khater, H. A., S. El-Din El-Morshdy, and M. A. Ibrahim. "Thermal-hydraulic modeling of the onset of flow instability in MTR reactors." Kerntechnik 71, no. 5-6 (November 2006): 264–69. http://dx.doi.org/10.3139/124.100303.

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30

Savoldi, Laura, Andrea Augieri, Roberto Bonifetto, Pierluigi Bruzzone, Stefano Carli, Giuseppe Celentano, Antonio della Corte, et al. "Thermal–Hydraulic Modeling of a Novel HTS CICC for Nuclear Fusion Applications." IEEE Transactions on Applied Superconductivity 26, no. 3 (April 2016): 1–7. http://dx.doi.org/10.1109/tasc.2016.2528541.

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31

Feng, Guanhong, Tianfu Xu, Fabrizio Gherardi, Zhenjiao Jiang, and Stefano Bellani. "Geothermal assessment of the Pisa plain, Italy: Coupled thermal and hydraulic modeling." Renewable Energy 111 (October 2017): 416–27. http://dx.doi.org/10.1016/j.renene.2017.04.034.

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32

Khater, Hany A., Salah El-Din El-Morshedy, and Mohamed M. A. Ibrahim. "Thermal–hydraulic modeling of the onset of flow instability in MTR reactors." Annals of Nuclear Energy 34, no. 3 (March 2007): 194–200. http://dx.doi.org/10.1016/j.anucene.2006.12.010.

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33

Kwon, Hyukjoon, Michael Sprengel, and Monika Ivantysynova. "Thermal modeling of a hydraulic hybrid vehicle transmission based on thermodynamic analysis." Energy 116 (December 2016): 650–60. http://dx.doi.org/10.1016/j.energy.2016.10.001.

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34

Chan, K., J. Li, D. Patterson, M. Hague, and A. Farrell. "Modeling of thermal and hydraulic barriers that marginalize Pacific salmon spawning migrations." Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology 150, no. 3 (July 2008): S169—S170. http://dx.doi.org/10.1016/j.cbpa.2008.04.448.

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35

Yang, Junjie. "Technology Focus: Hydraulic Fracturing Modeling (November 2022)." Journal of Petroleum Technology 74, no. 11 (November 1, 2022): 76–77. http://dx.doi.org/10.2118/1122-0076-jpt.

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Hydraulic fracture stimulation is proven to be the economic way to develop tight unconventional reservoirs. From an operational perspective, hydraulic stimulation is well established and widely applied to most unconventional plays. There is still room for improvement, however, to increase the efficiency and deepen the understanding of the detailed mechanism in the process. Particularly in the domain of fracture simulation, significant effort has been devoted to enhance model complexity and accuracy. Recent simulation studies have covered sophisticated mechanisms such as hydraulic fractures—natural fracture interaction, proppant transportation and settlement, casing friction, new government equations of fracture propagation, and fracture roughness. Fully coupled fracture modeling work flows with stress variation, solid transportation, and fluid flow become the mainstream, while model complexity and budget tradeoff remains challenging. Interestingly, fracture modeling has been applied beyond hydrocarbon production. New applications include cutting injection, coal-seam-gas production, and recently evolving enhanced geothermal systems (EGS). Both industrial and academic researchers have made progress on EGS by introducing another dimension of complexity in that thermal effects alter hydraulic fracture modeling behavior. With the advancement of powerful measurement techniques in the past decade, the industry has seen novel ways to calibrate fracture models. Other than microseismicity and pumping-schedule history matching, data collected from downhole tools such as distributed temperature and acoustic sensing and fiber-optic sensors have broader applications and show promising results. By leveraging computational power and machine-learning approaches, scaled-up modeling on the field level energizes the study of well interference, the depletion effect, and frac-hit-damage mechanisms. Recommended additional reading at OnePetro: www.onepetro.org SPE 205896 - Offshore Cuttings Reinjection Well-Performance Diagnostics and Fractured Domain Mapping Using Injection Data Analytics and Hydraulic Fracturing Simulation, Verified Through 4D Seismic and Wireline Logging by Franz Marketz, Sakhalin Energy Investment Company, et al. URTeC 2021-5414 - Modeling of Distributed Strain Sensing and Distributed Acoustic Sensing Incorporating Hydraulic and Natural Fractures Interaction by Kildare George Ramos Gurjao, Texas A&M University, et al. URTeC 2021-5526 - Efficient Modeling of Enhanced Geothermal System With 3D Complex Hydraulic and Natural Fractures by Hongbing Xie, Sim Tech, et al.

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36

Yangfi, Junjie. "Technology Focus: Hydraulic Fracturing Modeling (November 2021)." Journal of Petroleum Technology 73, no. 11 (November 1, 2021): 64. http://dx.doi.org/10.2118/1121-0064-jpt.

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In the past decades, the success of unconventional hydrocarbon resource development can be attributed primarily to the improved understanding of fracture systems, including both hydraulically induced fractures and natural fracture networks. To tackle the fracture characterization problem, several recent papers have provided novel insights into fracture modeling technique. Because of the complex nature and heterogeneity of rock discontinuity, fabric, and texture, the fracture-modeling process typically suffers from limited data availability. Research shows that modeling results reached without interrogation of high-resolution petrophysical and geomechanical data can mislead because the fluid flow is actually controlled by fine-scale rock properties. A more-reliable fracture geometry can be obtained from an enhanced modeling process that preserves the signature from high-frequency data. Advanced techniques to model fracturing processes with proppant transportation and thermodynamics require even more-sophisticated simulation and computation power. When the subsurface is too puzzling to be described by a physical model and existing data, machine learning and artificial intelligence can be adapted as a practical alternative to interpret complex fracture systems. Taking a discrete fracture network (DFN) as an example, a data-driven approach has been introduced to learn from outcrop, borehole imaging, core computed tomography scan, and seismic data to recognize stratigraphic bedding, faults, subseismic fractures, and hydraulic fractures. Input data can be collected by hand, 3D stereophotogrammetry, or drone. When upscaling DFN into a coarse grid for reservoir simulation, deep-learning techniques such as convolutional neuron networks can be used to populate fracture properties into a dual-porosity/dual-permeability model approved to yield high accuracy compared with a fine-grid model. Furthermore, the new techniques greatly extend the application of fracture modeling in the arena of the energy transition, such as in geothermal optimization. Recommended additional reading at OnePetro: www.onepetro.org. SPE 203927 - Numerical Simulation of Proppant Transport in Hydraulically Fractured Reservoirs by Seyhan Emre Gorucu, Computer Modelling Group, et al. SPE 202679 - Deep-Learning Approach To Predict Rheological Behavior of Supercritical CO2 Foam Fracturing Fluid Under Different Operating Conditions by Shehzad Ahmed, Khalifa University of Science and Technology, et al. SPE 203983 - A 3D Coupled Thermal/Hydraulic/Mechanical Model Using EDFM and XFEM for Hydraulic-Fracture-Dominated Geothermal Reservoirs by Xiangyu Yu, Colorado School of Mines, et al.

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37

Miedzińska, Danuta. "Numerical modeling of porous ceramics microstructure." Technical Sciences 1, no. 22 (February 14, 2019): 5–17. http://dx.doi.org/10.31648/ts.4344.

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The presented research is directed to the porous ceramics microstructural behaviour assessment with the use of numerical methods. Such new material can be used for thermal insulation, filters, bio-scaffolds for tissue engineering, and preforms for composite fabrication. One of the newest and most interesting applications, considered in this work, is a usage of those materials for production of proppants for hydraulic fracturing of shale rocks. The hydraulic fracturing is a method of gas recovery from unconventional reservoirs. A large amount of fracturing fluid mixed with proppant (small particles of sand or ceramics) is pumped into the wellbore and its pressure causes the rock cracking and gas release. After fracturing the fluid is removed from the developed cracks leaving the proppant supporting the fracture. In the paper the grain porous ceramics which is used for proppant particles preparation was studied. The influence of grains distribution on the porous ceramics mechanical behaviour during compression was simulated with the use of finite element method.

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38

Weismüller, J., U. Wollschläger, J. Boike, and K. Roth. "Modeling the thermal dynamics of the active layer at two contrasting permafrost sites." Cryosphere Discussions 5, no. 1 (January 19, 2011): 229–70. http://dx.doi.org/10.5194/tcd-5-229-2011.

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Abstract. The thermal and hydraulic dynamics of unsaturated active layers are described in a one-dimensional numerical forward model. Hydraulic and thermal transport processes are coupled in a set of partial differential equations based on Richards' equation, conductive and convective heat flow and a phenomenological description of soil freezing. The model is applied to the detailed data sets of two rather different field sites, one in the Arctic on Svalbard and one on the Tibetan Plateau. Soil temperatures and water contents as well as important quantities like the thaw depth and the duration of the isothermal plateau can be reproduced. To examine the influence of different heat transport processes, three scenarios of different complexity are studied. We show that heat conduction is the dominant process at both sites. While representing this process is sufficient for rough thaw depth estimates, a more detailed representation is necessary for an accurate representation of the active layer thermal dynamics. With our detailed model, characteristic deviations between measurements and simulations can still be observed. As possible explanations we discuss downward vapor migration in the upper soil layer and mechanical deformations.

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39

Pradhan, Nawa, Charles Downer, and Sergei Marchenko. "Catchment Hydrological Modeling with Soil Thermal Dynamics during Seasonal Freeze-Thaw Cycles." Water 11, no. 1 (January 10, 2019): 116. http://dx.doi.org/10.3390/w11010116.

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To account for the seasonal changes in the soil thermal and hydrological dynamics, the soil moisture state physical process defined by the Richards Equation is integrated with the soil thermal state defined by the numerical model of phase change based on the quasi-linear heat conductive equation. The numerical model of phase change is used to compute a vertical soil temperature profile using the soil moisture information from the Richards solver; the soil moisture numerical model, in turn, uses this temperature and phase, information to update hydraulic conductivities in the vertical soil moisture profile. Long-term simulation results from the test case, a head water sub-catchment at the peak of the Caribou Poker Creek Research Watershed, representing the Alaskan permafrost active region, indicated that freezing temperatures decreases infiltration, increases overland flow and peak discharges by increasing the soil ice content and decaying the soil hydraulic conductivity exponentially. Available observed and the simulated soil temperature comparison analysis showed that the root mean square error for the daily maximum soil temperature at 10-cm depth was 4.7 °C, and that for the hourly soil temperature at 90-cm and 300-cm was 0.17 °C and 0.14 °C, respectively.

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40

Bestion, D., H. Anglart, D. Caraghiaur, P. Péturaud, B. Smith, M. Andreani, B. Niceno, et al. "Review of Available Data for Validation of Nuresim Two-Phase CFD Software Applied to CHF Investigations." Science and Technology of Nuclear Installations 2009 (2009): 1–14. http://dx.doi.org/10.1155/2009/214512.

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The NURESIM Project of the 6th European Framework Program initiated the development of a new-generation common European Standard Software Platform for nuclear reactor simulation. The thermal-hydraulic subproject aims at improving the understanding and the predictive capabilities of the simulation tools for key two-phase flow thermal-hydraulic processes such as the critical heat flux (CHF). As part of a multi-scale analysis of reactor thermal-hydraulics, a two-phase CFD tool is developed to allow zooming on local processes. Current industrial methods for CHF mainly use the sub-channel analysis and empirical CHF correlations based on large scale experiments having the real geometry of a reactor assembly. Two-phase CFD is used here for understanding some boiling flow processes, for helping new fuel assembly design, and for developing better CHF predictions in both PWR and BWR. This paper presents a review of experimental data which can be used for validation of the two-phase CFD application to CHF investigations. The phenomenology of DNB and Dry-Out are detailed identifying all basic flow processes which require a specific modeling in CFD tool. The resulting modeling program of work is given and the current state-of-the-art of the modeling within the NURESIM project is presented.

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41

Gil’fanov, K. Kh, and R. A. Shakirov. "Neural Network Modeling of Thermal-Hydraulic Efficiency of Promising Surface Heat Transfer Intensifiers." Russian Aeronautics 64, no. 1 (January 2021): 61–70. http://dx.doi.org/10.3103/s1068799821010086.

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42

Msaad, Y. "Comparison between Hydraulic and Thermal Spalling in Heated Concrete Based on Numerical Modeling." Journal of Engineering Mechanics 133, no. 6 (June 2007): 608–15. http://dx.doi.org/10.1061/(asce)0733-9399(2007)133:6(608).

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43

Paniagua, J., U. S. Rohatgi, and V. Prasad. "Modeling of thermal hydraulic instabilities in single heated channel loop during startup transients." Nuclear Engineering and Design 193, no. 1-2 (September 1999): 207–26. http://dx.doi.org/10.1016/s0029-5493(99)00156-9.

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44

Avramova, Maria. "Developments in thermal-hydraulic sub-channel modeling for whole core multi-physics simulations." Nuclear Engineering and Design 358 (March 2020): 110387. http://dx.doi.org/10.1016/j.nucengdes.2019.110387.

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45

Ceylan, Halim, and Harun Kemal Ozturk. "Modeling Hydraulic and Thermal Electricity Production Based on Genetic Algorithm-Time Series (GATS)." International Journal of Green Energy 1, no. 3 (December 26, 2004): 393–406. http://dx.doi.org/10.1081/ge-200033679.

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46

Aizatulov, R. S., Yu A. Marakulin, A. P. Presnyakov, N. Yu Pokatilova, and V. V. Salomatov. "Design of tundish ladle lining on the basis of thermal and hydraulic modeling." Refractories 35, no. 6 (June 1994): 202–4. http://dx.doi.org/10.1007/bf02307159.

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47

Gerliga, V. A., A. V. Kozlov, and V. Yu Denisenko. "Mathematical modeling investigation of thermal hydraulic processes in a steam-generating pipe bundle." Atomic Energy 77, no. 4 (October 1994): 756–59. http://dx.doi.org/10.1007/bf02415434.

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Yu, Yuewei, Leilei Zhao, Changcheng Zhou, and Lin Yang. "Modeling and simulation of twin-tube hydraulic shock absorber thermodynamic characteristics and sensitivity analysis of its influencing factors." International Journal of Modeling, Simulation, and Scientific Computing 11, no. 02 (March 25, 2020): 2050012. http://dx.doi.org/10.1142/s1793962320500129.

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In order to find out the sensitivity of the thermophysical and structural parameters to the thermodynamic characteristics of twin-tube hydraulic shock absorbers, based on the bench test, a method for calculating the time-varying rate of the external work on the shock absorber oil is proposed. And then, a thermodynamic model of the twin-tube hydraulic shock absorber is established by using the basic thermodynamic principles. By analyzing the influence of each parameter on the thermodynamic characteristics of the shock absorber, it can be seen that, the radius of the working cylinder outer wall has the greatest influence on the temperature rise of the shock absorber, followed by the thermal conductivity of the oil, the height of the oil, the heat transfer length of the cylinder barrel, the radius of the oil storage cylinder outer wall, the emissivity of the oil storage cylinder outer wall, the height of the nitrogen, the thermal conductivity of the nitrogen, the specific heat capacity of the oil, the density of the oil, the thermal conductivity of the cylinder, and the mass of the working oil. The kinematic viscosity of the oil has the least influence on the temperature rise of the shock absorber. The research can provide an effective theoretical guidance and reference for the design of the twin-tube hydraulic shock absorber.

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Deru, Michael P., and Allan T. Kirkpatrick. "Ground-Coupled Heat and Moisture Transfer from Buildings Part 1–Analysis and Modeling*." Journal of Solar Energy Engineering 124, no. 1 (May 1, 2001): 10–16. http://dx.doi.org/10.1115/1.1435652.

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Ground-heat transfer is tightly coupled with soil-moisture transfer. The coupling is threefold: heat is transferred by thermal conduction and by moisture transfer; the thermal properties of soil are strong functions of the moisture content; and moisture phase change includes latent heat effects and changes in thermal and hydraulic properties. A heat and moisture transfer model was developed to study the ground-coupled heat and moisture transfer from buildings. The model also includes detailed considerations of the atmospheric boundary conditions, including precipitation. Solutions for the soil temperature distribution are obtained using a finite element procedure. The model compared well with the seasonal variation of measured ground temperatures.

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van Heel, Antoon P., Paulus M. Boerrigter, and Johan J. van Dorp. "Thermal and Hydraulic Matrix-Fracture Interaction in Dual-Permeability Simulation." SPE Reservoir Evaluation & Engineering 11, no. 04 (August 1, 2008): 735–49. http://dx.doi.org/10.2118/102471-pa.

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Summary The shape factor concept, originally introduced by Barenblatt in 1960, provides an elegant and powerful upscaling method for fractured reservoir simulation. The shape factor determines the fluid and heat transfer between matrix and fractures when there is a difference in pressure or temperature between matrix blocks and the surrounding fractures. An appropriate specification of the shape factor is therefore critical for accurate modeling. Since its introduction, many different values for the shape factor have been proposed in the literature, among which the well-known Warren-Root and Kazemi shape factors. The aim of this paper is to show that the selection of the appropriate shape factor should not only depend on the "shape" and dimensions of matrix blocks, but should also take into consideration the character of the dominant underlying physical recovery mechanisms. We will show that by taking into account the dominant physical recovery mechanism, the apparent discrepancies in the shape factor values reported in the literature can be overcome. We derive a general expression for the shape factor that not only captures existing shape factor expressions, but also allows extensions to recovery mechanisms requiring a dual permeability approach. The paper is organized as follows. First, we briefly review the shape factors presented in the literature. We then derive the general expression for the (single-phase) matrix-fracture shape factor. Subsequently, we analytically derive a new shape factor that captures the transient in pressure/temperature diffusion processes. To compare and contrast the impact of the various shape factors, we consider three cases of increasing complexity. First, we consider pressure/temperature diffusion in a single 1D matrix block following a step change in the boundary conditions. Next, we consider isothermal gas/oil gravity drainage from a homogeneous stack. We compare fine-grid single-porosity simulations (in which the matrix is finely gridded and in which the fractures are explicitly represented) with coarse-grid dual-permeability simulations (in which the matrix-fracture interaction is modeled by shape factors). In the third step, we consider gas-oil gravity drainage of the same stack model, but now under steam injection. In this case, steam is injected at the top, and oil recovered from the base of the fracture system. Again, we compare fine-grid single-porosity simulations with coarse-grid dual-permeability simulations. We show that in this case, the constant (asymptotic) shape factor provides a good approximation to the heating of the stack. We will show, however, that with a constant (time-independent) shape factor, the initial fast heating of the matrix blocks cannot be captured. We show that the new transient shape factor, however, enables coarse-grid dual-permeability modeling of thermal recovery processes such that they reproduce fine-grid results. Introduction The modeling of matrix-fracture interaction using shape factors has been an active area of research for over 40 years now, and has attracted considerable attention both in the context of single- and multi-phase matrix-fracture modeling (Barenblatt et al. 1960; Warren and Root 1963; Kazemi et al. 1976; Thomas et al. 1983; Coats 1989; Ueda et al. 1989; Zimmerman et al. 1993a; Chang 1993; Lim and Aziz 1995; Gilman and Kazemi 1983; Beckner et al. 1987, 1988; Rossen and Shen 1989; Bech et al. 1991; Bourbiaux et al. 1999). In their 1960 landmark paper, Barenblatt et al. introduced the shape factor concept to model the (single-phase) fluid transfer between matrix and fractures (1960). The central idea of Barenblatt et al. was not to study the behavior of individual matrix blocks and their surrounding fractures, but instead to introduce two abstract interacting media: one medium, the "matrix," in which the physical matrix blocks are lumped, and one medium, the "fractures," in which the fractures are lumped. Whenever a pressure difference exists between the matrix and the fractures, a fluid flow between the media will occur. The shape factor is then defined by the following relation, which ties the (single-phase) matrix-fracture fluid flow to the instantaneous pressure difference between matrix and fractures:q = s (km / µ) V (p*m - pf), ....[ EQ. 1 ] where V denotes the volume of the matrix block. In 1963, Warren and Root used Barenblatt's shape factor concept in the context of well-testing using dual porosity models. They postulated shape factors for 1-, 2-, and 3D matrix blocks, as given in Table 1. In 1976, Kazemi et al. proposed different shape factors, which were derived using a finite-difference discretization. Kazemi et al. also postulated the generalization of the shape factor concept from single- to multiphase flow by introducing the phase relative permeability into Eq. 1. Thomas et al. (1983) found that they could accurately reproduce fine-grid single-porosity simulation results of water/oil countercurrent imbibition (in cubical blocks) if in their single-cell dual-porosity model they used a shape factor 25 / L2. In their dual-porosity simulation, however, they also used pseudorelative permeability curves and a pseudocapillary pressure, so it is not obvious whether the good fit was mainly caused by the shape factor they used, or by the pseudosaturation functions. Coats reported that the shape factor proposed by Kazemi is too low by a factor of 2, and derived new 1-, 2-, and 3D shape factors (1989); see Table 1. Ueda et al. (1989) also argued that the Kazemi shape factor should be multiplied by a factor 2 to 3, based on their work in which they compared dual porosity (two-phase) simulations with 1- and 2D fine-grid simulations. In 1993, Zimmerman et al. published a semi-analytical method for modeling of matrix-fracture flow in a dual-porosity model where the matrix blocks are modeled as spherical blocks (1993a). In their paper, they also show that the shape factor for spherical matrix blocks is given by p2 / R2 where R is the radius of the matrix block. In the same year, Chang derived an explicit formula for the single-phase shape factor for rectangular matrix blocks based on the full transient solution of the diffusion equation introducing new 1-, 2-, and 3D results to the shape-factor literature (1993). The same result was independently obtained in 1995 by Lim and Aziz. Both Chang and Lim and Aziz stressed that the shape factor, which had previously been regarded as a constant, is actually a function of time. In view of the wide spectrum of results and the apparent lack of consensus regarding which shape factor to use in simulations, a more detailed analysis into the reasons for the different shape factors cited in Table 1 seems desirable. We want to underline that in this paper we focus our attention to single-phase shape factors, thus avoiding the additional complications that arise in the discussion of two-phase matrix-fracture interaction because of relative permeability and capillary pressure. This allows us to more clearly illustrate the different approaches that the previously mentioned authors used.

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