• Title/Summary/Keyword: Thermodynamic modeling

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A Study for Carbon dioxide Removal Process Using Methanol Solvent in DME Manufacture Process (DME 생산공정에서 메탄올을 이용한 이산화탄소 제거 공정 연구)

  • Cho, Duhee;Rho, Jaehyun;Kim, Dong Sun;Cho, Jungho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.3
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    • pp.1502-1511
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    • 2013
  • In this study, simulation works have been performed for the modeling of $CO_2$ removal process contained in the DME production process through an absorber-stripper system using methanol aqueous solution. Aspen Plus release 7.3 in AspenTech company was utilized as a simulation tool and PC-SAFT modeling equation of state was used as a thermodynamic model. Fitting parameters built-in PC-SAFT model was determined by regressing experimental data, predicted results using PC-SAFT model were compared with experimental data in order to verify the exactness of the thermodynamic model. Optimization works have been performed to reduce the utility consumptions using solvent circulation rate, column operating pressure and feed stage location as manipulated variables.

DEVELOPMENT OF A SIMPLIFIED MODEL FOR ANALYZING THE PERFORMANCE OF KALIMER-600 COUPLED WITH A SUPERCRITICAL CARBON DIOXIDE BRAYTON ENERGY CONVERSION CYCLE

  • Seong, Seung-Hwan;Lee, Tae-Ho;Kim, Seong-O
    • Nuclear Engineering and Technology
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    • v.41 no.6
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    • pp.785-796
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    • 2009
  • A KALIMER-600 concept which is a type of sodium-cooled fast reactor, has been developed at KAERI. It uses sodium as a primary coolant and is a pool-type reactor to enhance safety. Also, a supercritical carbon dioxide ($CO_2$) Brayton cycle is considered as an alternative to an energy conversion system to eliminate the sodium water reaction and to improve efficiency. In this study, a simplified model for analyzing the thermodynamic performance of the KALIMER-600 coupled with a supercritical $CO_2$ Brayton cycle was developed. To develop the analysis model, a commercial modular modeling system (MMS) was adopted as a base engine, which was developed by nHance Technology in USA. It has a convenient graphical user interface and many component modules to model the plant. A new user library for thermodynamic properties of sodium and supercritical $CO_2$ was developed and attached to the MMS. In addition, some component modules in the MMS were modified to be appropriate for analysis of the KALIMER-600 coupled with the supercritical $CO_2$ cycle. Then, a simplified performance analysis code was developed by modeling the KALIMER-600 plant with the modified MMS. After evaluating the developed code with each component data and a steady state of the plant, a simple power reduction and recovery event was evaluated. The results showed an achievable capability for a performance analysis code. The developed code will be used to develop the operational strategy and some control logics for the operation of the KALIMER-600 with a supercritical $CO_2$ Brayton cycle after further studies of analyzing various operational events.

Function Approximation for Refrigerant Using the Neural Networks (신경회로망을 사용한 냉매의 함수근사)

  • Park, Jin-Hyun;Lee, Tae-Hwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.677-680
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    • 2005
  • In numerical analysis on the thermal performance of the heat exchanger with phase change fluids, the numerical values of thermodynamic properties are needed. But the steam table should be modeled properly as the direct use of thermodynamic properties of the steam table is impossible. In this study the function approximation characteristics of neural networks was used in modeling the saturated vapor region of refrigerant R12. The neural network consists of one input layer with one node, two hidden layers with 10 and 20 nodes each and one output layer with 7 nodes. Input can be both saturation temperature and saturation pressure and two cases were examined. The proposed model gives percentage error of ${\pm}$0.005% for enthalpy and entropy, ${\pm}$0.02% for specific volume and ${\pm}$0.02% for saturation pressure and saturation temperature except several points. From this results neural network could be a powerful method in function approximation of saturated vapor region of R12.

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Modeling of Thermodynamic Properties of Saturated state Hydrogen using Equation of State (상태방정식을 이용한 포화상태 수소의 열역학적 물성 모델링)

  • Bong-Seop Lee;Hun Yong Shin;Choong Hee Joe
    • Korean Chemical Engineering Research
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    • v.61 no.4
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    • pp.550-554
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    • 2023
  • Fossil energy sources are limited in their sustainable use and expansion due to global warming caused by carbon dioxide emissions. Hydrogen is considered as a promising alternative to traditional fossil fuels. To ensure the stable long-term storage, it is necessary to accurately predict its thermodynamic properties at cryogenic temperatures. Therefore, this study aimed to investigate thermodynamic properties, such as saturated vapor pressure and density, enthalpy, and entropy of liquid and gas, using cubic equations of state that demonstrate relatively simple relationships. Among the three types of equations of state (Redlich-Kwong (RK), Soave-Redlich-Kwong (SRK), and Peng-Robinson (PR)), the SRK model exhibited relatively accurate prediction results for various physical properties.

Computer Simulation of Automobile Air-Conditioners (자동차 에어컨 컴퓨터 시뮬레이션)

  • Kim, H.J.;Jung, D.S.;Kim, C.B.;Kim, K.H.;Kang, J.K.
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.8 no.2
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    • pp.240-253
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    • 1996
  • The refrigeration cycle of automobile air-conditioners is simulated in an effort to provide a computational tool for optimum thermodynamic design. In the simulation, thermodynamic and heat transfer analysis was performed for the four major components : evaporator, condenser, compressor, and expansion valve. Effectiveness-NTU method was used for modeling both evaporator and condenser. The evaporator was divied into many subgrids and simultaneous cooling and dehumidifying analysis was performed for each grid to predict the performance accurately. Blance equations were used to model the compressor instead of using the compressor map. The performance of each component was checked against the measured data with CFC-12. Then, all the components were combined to yield the total system performance. Predicted cycle points were compared against the measured data with HFC-134a and the deviation was found to be less than 5% for all data. Finally, the system model was used to predict the performance of CFC-12 and HFC-134a for comparison. The results were very reasonable as compared to the trend deduced from the measured data.

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Sensitivity Study of Simulated Sea-Ice Concentration and Thickness Using a Global Sea-Ice Model (CICE) (전구 해빙모델(CICE)을 이용한 해빙 농도와 해빙 두께 민감도 비교)

  • Lee, Su-Bong;Ahn, Joong-Bae
    • Atmosphere
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    • v.24 no.4
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    • pp.555-563
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    • 2014
  • The impacts of dynamic and thermodynamic schemes used in the Community Ice CodE (CICE), the Los Alamos sea ice model, on sea ice concentration, extent and thickness over the Arctic and Antarctic regions are evaluated. Using the six dynamic and thermodynamic schemes such as sea ice strength scheme, conductivity scheme, albedo type, advection scheme, shortwave radiation method, and sea ice thickness distribution approximation, the sensitivity experiments are conducted. It is compared with a control experiment, which is based on the fixed atmospheric and oceanic forcing. For sea ice concentration and extent, it is found that there are remarkable differences between each sensitivity experiment and the control run over the Arctic and Antarctic especially in summer. In contrast, there are little seasonal variations between the experiments for sea ice thickness. In summer, the change of the albedo type has the biggest influence on the Arctic sea ice concentration, and the Antarctic sea ice concentration has a greater sensitivity to not only the albedo type but also advection scheme. The Arctic sea ice thickness is significantly affected by the albedo type and shortwave radiation method, while the Antarctic sea ice thickness is more sensitive to sea ice strength scheme and advection scheme.

Evaluation of Influential Factors of Hydrogen Fueling Protocol by Modeling and Simulation (모델링 및 시뮬레이션을 통한 수소충전 프로토콜 영향인자 평가)

  • CHAE, CHUNGKEUN;KANG, SUYOUN;KIM, HANNA;CHAE, SEUNGBEEN;KIM, YONGGYU
    • Transactions of the Korean hydrogen and new energy society
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    • v.30 no.6
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    • pp.513-522
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    • 2019
  • It is not easy to refuel quickly and safely with 70 MPa hydrogen. This is because the temperature in the vehicle tank rises sharply due to Joule-Thomson effect, etc. Thus protocols such as SAE J2601 in the United States and JPEC-S 0003 in Japan were established. However, they have the problem of over-complexity and lack of versatility by setting the preconditions for hot and cold cases and introducing a number of look-up tables. This study was conducted with the ultimate goal of developing new protocols based on complete real-time communication. Thermodynamic models were made and programs were developed for hydrogen refueling simulations. Simulation results confirmed that there are five parameters in the influencing factors of the hydrogen refueling protocol.

Development of Real-Fluid Package Compatible with Chemkin for High-Pressure Kerosene/LOx Combustion (케로신/액체산소의 고압 연소해석을 위한 열역학/전달 물성치 해석 패키지 개발)

  • Kim, Seong-Ku;Choi, Hwan-Seok
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2011.04a
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    • pp.89-92
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    • 2011
  • The modeling of thermodynamic non-idealities and transport anomalies is a crucial prerequisite to realistically simulate the mixing and combustion processes of liquid propellants injected above critical pressures. This study has developed a specific set of subroutines to calculate the thermodynamic and transport properties based on the generalized cubic equation of state (EoS) in a coupled manner with the standard chemical kinetics packages (Chemkin). The existing flamelet analysis code is extended with the real-fluid package and applied to numerical investigation of local flame structures of kerosene and liquid oxygen at high pressure conditions relevant to the actual rocket engines.

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A Study on the Heat and Mass Balance of Smelting Reduction Process for Manganese Nodules (망간단괴 용융환원 제련공정의 물질 및 열수지 모델링)

  • Cho, Moon Kyung;Park, Kyung Ho;Min, Dong Joon
    • Korean Journal of Metals and Materials
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    • v.47 no.5
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    • pp.304-310
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    • 2009
  • Recently, manganese nodule has been focused on alternative resources because of its high grade of noble metallic elements such as Co, Ni, and Cu etc. From the viewpoint of an optimization the operating variables for energy efficiency of smelting reduction process, thermodynamic model for smelting reduction process of Manganese nodule was developed by using energy and material balance concept. This model provided that specific consumption of pure oxygen and coke was strongly depended on post combustion ratio (PCR) and heat transfer efficiency (HTE). The dressing and dehydrating process of low grade manganese can be proposed an essential process to minimize the specific energy consumption with decreasing slag volume. The effect of electricity coal base smelting reduction process was also discussed from the energy optimizing point of view.

Preliminary Thermodynamic Evaluation of a Very High Temperature Reactor (VHTR) Integrated Blue Hydrogen Production Process (초고온가스로 연계 블루수소 생산 공정의 열역학적 분석)

  • SEONGMIN SON
    • Transactions of the Korean hydrogen and new energy society
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    • v.34 no.3
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    • pp.267-273
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    • 2023
  • As the impacts of global climate change become increasingly apparent, the reduction of carbon emissions has emerged as a critical subject of discussion. Nuclear power has garnered attention as a potential carbon-free energy source; however, the rapidity of load following in nuclear power generation poses challenges in comparison to fossil-fueled methods. Consequently, power-to-gas systems, which integrate nuclear power and hydrogen, have attracted growing interest. This study presents a preliminary design of a very high temperature reactor (VHTR) integrated blue hydrogen production process utilizing DWSIM, an open-source process simulator. The blue hydrogen production process is estimated to supply the necessary calorific value for carbon capture through tail gas combustion heat. Moreover, a thermodynamic assessment of the main recuperator is performed as a function of the helium flow rate from the VHTR system to the blue hydrogen production system.