A comprehensive investigation on the design and off-design performance of supercritical carbon dioxide power system based on the small-scale lead-cooled fast reactor

Li, Hang; Fan, Gang; Cao, Liyan; Yang, Yi; Yan, Xiao; Dai, Yiping; Zhang, Guojie; Wang, Junlei

doi:10.1016/j.jclepro.2020.120720

Cited by 74 publications

(13 citation statements)

References 43 publications

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“…Numerical study in this paper is accomplished by the software of Ansys-Fluent as similar numerical investigation on the ventilation system ( Zhou et al., 2020 ), indoor pollutant control ( Milner et al., 2011 ), and sprayed droplet flow process ( Liu et al., 2018 ), flow dynamics in power system ( Li et al., 2020a ) etc. has been successfully carried out by it.…”

Section: Computational Modelmentioning

confidence: 99%

An air distribution optimization of hospital wards for minimizing cross-infection

Wang

Cao

Chen

2021

Journal of Cleaner Production

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Currently, the “2019-CoV-2” has been raging across the world for months, causing massive death, huge panic, chaos, and immeasurable economic loss. Such emerging epidemic viruses come again and again over years, leading to similar destructive consequences. Air-borne transmission among humans is the main reason for the rapid spreading of the virus. Blocking the air-borne transmission should be a significant measure to suppress the spreading of the pandemic. Considering the hospital is the most probable place to occur massive cross-infection among patients as emerging virus usually comes in a disguised way, an air distribution optimization of a general three-bed hospital ward in China is carried out in this paper. Using the Eulerian-Lagrangian method, sneeze process from patients who are assumed to be the virus carrier, which is responsible for a common event to trigger cross-infection, is simulated. The trajectory of the released toxic particle and the probability of approaching others in the same ward are calculated. Two evaluation parameter, total maximum time (TMT) and overall particle concentration (OPC) to reflect the particle mobility and probability to cause cross-infection respectively, are developed to evaluate the proposed ten air distributions in this paper. A relatively optimized air distribution proposal with the lowest TMT and OPC is distinguished through a three-stage analysis. Results show that a bottom-in and top-out air distribution proposal is recommended to minimize cross-infections.

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Section: Computational Modelmentioning

confidence: 99%

An air distribution optimization of hospital wards for minimizing cross-infection

Wang

Cao

Chen

2021

Journal of Cleaner Production

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“…9 Since the beginning of the 21st century, the SCO 2 power cycle has re-entered people's awareness with the development of the fourth generation nuclear reactor (Gen IV, core temperature 500-900 C). 6 This cycle can well match various types of heat sources and can be applied in many fields, such as nuclear power, [10][11][12] solar power, [13][14][15] thermal power, [16][17][18] and waste heat recovery. [19][20][21] At the same time, the SCO 2 cycle has high efficiency, compactness, and low noise.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic and economic comparison of supercritical carbon dioxide coal‐fired power system with different improvements

et al. 2021

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The supercritical carbon dioxide (SCO 2 ) Brayton cycle is expected to become the new generation of power cycle for coal-fired power units. Most previous studies on system and parameter optimizations of SCO 2 power systems aimed to improve thermal performance, and some of them also involved the economic performance evaluation of the configurations they proposed. However, the configurations included in previous economic analyses are limited, and the models used in different papers are different. Although many improved configurations of SCO 2 coal-fired power generation system have been proposed, currently, there is a lack of comparison under the unified thermal-economic evaluation standard. Thus, this study focuses on the economic optimization and comparison of the performances of different advanced configurations of SCO 2 coal-fired power systems under the unified standard. Thermodynamic and economic optimization models are developed, and various configurations are proposed, representing improvements from four aspects (mediumtemperature flue gas heat utilization, reheating, waste heat recovery, and main compressor intercooling) based on a recompression system. The system parameters are also economically optimized with the genetic algorithm. Results show that integrating the SCO 2 benchmark cycle, medium temperature economizer, single-reheat, flue bypass, low temperature economizer and main compressor intercooling into the coal-fired power unit yields excellent thermo-economic performance. This configuration has the highest power generation efficiency of 47.93% and the lowest levelized cost of electricity of 0.0540 USD kW −1 hour −1 compared to others. Furthermore, the influences of specific parameters on power generation cost are analyzed.

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“…The heat transfer coefficient calculation methods of different heat exchangers are selected based on the fluid type and Reynolds number (Re). For example, the Gnielinski formula is applied to calculate the Nusselt number (Nu) of the cold and hot side fluids in HTR and LTR, as shown in Equations ( 4) and (5). The cold and hot side of HTR and LTR are both CO 2 , so the Nusselt number (Nu) can be calculated by the Gnielinski formula.…”

Section: Heat Exchanger Modelmentioning

confidence: 99%

“…The SCO 2 cycle also has the advantages of a compact structure and good heat source matching performance, and can be widely used in nuclear energy [5][6][7], waste heat recovery [8][9][10], solar energy [11][12][13], and thermal power [14][15][16]. A lot of work has been done on the basic thermodynamic research of the SCO 2 cycle, configuration and parameter optimizations, system design in different application fields, and even economic analysis and optimization.…”

Section: Introductionmentioning

confidence: 99%

Research on Dynamic Modeling of the Supercritical Carbon Dioxide Power Cycle

et al. 2021

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The supercritical carbon dioxide (SCO2) Brayton cycle, as a substitute for the steam cycle, can be widely used in a variety of power generation scenarios. However, most of the existing SCO2 cycle studies are restricted to basic thermodynamics research, parameter optimizations, system design in different application fields, and even economic analysis. Considering the load variability and control flexibility of the power generation system, the dynamic performance research of the SCO2 cycle is also crucial, but the work done is still limited. Based on the previous studies, Simulink software is used in this paper to develop a dynamic model of the 20 MW-SCO2 recompression cycle, which specifically includes component models that can independently realize physical functions and an overall closed-loop cycle model. A series of comparative calculation are carried out to verify the models and the results are very positive. The SCO2 recompression power system is built with the developed models and the dynamic model runs stably with a maximum error of 0.56%. Finally, the simulation of the dynamic switching conditions of the 20 MW-SCO2 recompression cycle are performed and the analysis results supply instructive suggestions for the system operation and control.

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A comprehensive investigation on the design and off-design performance of supercritical carbon dioxide power system based on the small-scale lead-cooled fast reactor

Cited by 74 publications

References 43 publications

An air distribution optimization of hospital wards for minimizing cross-infection

An air distribution optimization of hospital wards for minimizing cross-infection

Thermodynamic and economic comparison of supercritical carbon dioxide coal‐fired power system with different improvements

Research on Dynamic Modeling of the Supercritical Carbon Dioxide Power Cycle

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