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SSRN 2024年

作者： Ren, Xiaoxiao Wang, Jinshi Yang, Sifan Zhao, Quanbin Jia, Yifan Ou, Kejie Hu, Guangtao Yan, Junjie State Key Laboratory of Multiphase Flow in Power Engineering Xi’an Jiaotong University Xi’an710049 China School of Energy Engineering Yulin University Yulin719000 China

To achieve low-carbon operation of distributed multi-energy system (DMES) and enhance its activity in the energy market, this paper proposes a novel multi-objective Stackelberg game model. The DMES operator (DMEO) acts as the leader, guiding users' behavior through DMES optimal scheduling and multi-energy pricing. The optimization objectives include maximizing DMEO revenues, minimizing DMES primary energy consumption and carbon emissions. The users act as followers, adjusting energy demand based on upper-level energy pricing with the objective of maximizing consumption surplus. To achieve the low-carbon and flexible operation of DMES, carbon trading and demand response mechanisms are introduced. The upper-level model is solved using the non-dominated sorting genetic algorithm III (NSGA-III), while the lower-level model is solved by the Gurobi solver. Furthermore, a robust optimization model with adjustable robust measure is established to mitigate the impact of renewable energy uncertainty. Finally, the validity of the proposed model is verified by a data center in Qinghai. Compared with traditional Stackelberg game model, the proposed model reduces DMEO revenue by 0.63% but decreases carbon emissions by 1.64% and energy consumption by 1.59%. Under this optimization framework, the energy efficiency and exergy efficiency of DMES are 0.798 and 0.535, and the share of renewable energy is 34.6%. Besides, increasing renewable energy uncertainty leads to lower DMEO revenue, higher carbon emissions and energy consumption, while significantly reducing energy efficiency and exergy efficiency. The proposed multi-objective Stackelberg game model may provide some references for multi-stage energy system optimization. © 2024, The Authors. All rights reserved.

关键词： Energy utilization

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A Novel Multi-Objective Stackelberg Game Model for Multi-Energy Dynamic Pricing and Flexible Scheduling in Distributed Multi-Energy System

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SSRN 2024年

In the face of global energy and environmental challenges, distributed multi-energy system (DMES) offers a promising solution. To optimize resource allocation and promote energy market development, this paper proposes a novel multi-energy management and pricing framework based on multi-objective Stackelberg game. The DMES operator (DMEO) acts as the leader by optimizing DMES scheduling and pricing to guide user behavior towards revenue, energy consumption, and carbon emissions goals. Users adjust energy demand based on energy pricing to maximize consumption surplus. To achieve the low-carbon and flexible operation of DMES, carbon trading and demand response mechanisms are introduced. The model is solved using NSGA-III and Gurobi solver, with a robust optimization model with adjustable robust measure is established to address renewable energy uncertainty. The validity of the proposed model is verified by a data center in Qinghai. Compared with traditional Stackelberg game model, the proposed model reduces carbon emissions by 1.64% and energy consumption by 1.59%. Under this optimization framework, the exergy efficiency and energy efficiency of DMES are 0.535 and 0.798, and the share of renewable energy is 34.6%. Increased renewable energy uncertainty leads to lower DMEO revenue, higher carbon emissions and energy consumption, while significantly reducing energy and exergy efficiency. © 2024, The Authors. All rights reserved.

关键词： Energy utilization

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PLIF thermometry using OH origin from photo dissociation of water 6

PLIF thermometry using OH origin from photo dissociation of ...

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6th International Symposium on Laser Interaction with Matter

作者： Li, Guohua Ye, Jingfeng Zhang, Zhenrong Wang, Sheng Shao, Jun Hu, Zhiyun Wang, Jinhua Huang, Zuohua State Key Laboratory of Multiphase Flow in Power Engineering Xi’an Jiaotong University Xi’an China State Key Laboratory of Laser Interaction with Matter Northwest Institute of Nuclear Technology Xi’an China Shanghai Jiao Tong University Sichuan Research Institute Chengdu China

ISBN: (纸本)9781510660236

A technique that expands the OH-LIF thermometry range is developed. The PLIF of OH from dissociation of water in gas phase is used for temperature measurement both in flame and room air. The thermometry results from photo-fragmentation laser induced fluorescence(PF-PLIF) at time delay from 200ns to 1ms after dissociation agree well with results from PLIF of OH from burning which are calibrated by CARS thermometry. And the results in room air agree with environment temperature at time delay from 50ns to 0.2ms. These two results validate the PF-PLIF thermometry method both in flame and room temperature, which allowing thermometry at low temperature or non-reaction region. At last the PF-PLIF was applied in a jet flow, and the temperature results from PF-PLIF, PLIF and CARS at different height of jet were compared. © 2022 SPIE.

关键词： Dissociation

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Study on supercritical water regeneration of bio-based activated carbon saturated with acid red G

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Carbon Resources Conversion 2024年

作者： Mu, Yaling Zhuang, Zitong Jiang, Kun Wei, Yimeng Meng, Anjun Jin, Hui State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong University Shaanxi Xi'an710049 China CNNP CHD Hebei Nuclear Power Co. Ltd. Hebei Cangzhou061000 China

The dye and textile industry commonly employs activated carbon adsorption technology due to its cost-effectiveness and high efficiency. However, disposing of waste-activated carbon has a significant environmental and human health impact, and it's a huge economic waste. This study investigates the kinetic and isothermal adsorption characteristics of Acid Red G dye adsorption by Powdered Activated Carbon derived from coconut shells. To effectively reuse activated carbon and maximise resource conservation, regeneration experiments were carried out using Supercritical Water at 24 MPa and 400 ℃ for 30 min. The experimental results demonstrated that, in comparison with thermal regeneration, supercritical water possesses the benefits of environmental protection, economic efficiency and extensive applicability. This is of considerable importance to the field of research concerning the regeneration of activated carbon. © 2024

关键词： Carbon sequestration

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Heat and power Load Prediction for Combined Heat and power Station with Different Methods

Heat and Power Load Prediction for Combined Heat and Power S...

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Digital Twins and Parallel Intelligence (DTPI), IEEE International Conference on

作者： Lin Wang Tingting Yu Chen Chen Yaokui Gao Lin Gao Binbin Qiu Ming Liu Xi’an Thermal Power Research Institute Co. Ltd. Xi’an China State Key Laboratory of Multiphase Flow in Power Engineering Xi’an Jiaotong University Xi’an China

ISBN: (数字)9798350349252

ISBN: (纸本)9798350349269

The accurate short-term load prediction is an essential prerequisite for ensuring the reliable and economic operation of combined heat and power stations. In this study, the heat load and power load prediction models of combined heat and power station were developed with long short-term memory (LSTM) and multiple linear regression (MLR), respectively. The preprocessing and correlation analysis of heat and power loads were conducted. The prediction effects of different prediction models were also compared and analyzed. Taking the data of February as an example, the mean absolute percentage error (MAPE) of heat load prediction with LSTM and MLR models are 3.20% and 3.75%, respectively, and the MAPE of power load prediction are 5.59% and 8.76%, respectively. The prediction results show that the performance of the LSTM model is better than that of the MLR model, and the prediction accuracy of the heat load is higher than that of the power load.

关键词： Correlation Accuracy Cogeneration Biological system modeling Linear regression Predictive models Data models Thermal loading Long short term memory Load modeling

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Wall temperature calculation and safety analysis for the water wall of 660 MW ultra-supercritical circulating fluidized bed boiler 13

Wall temperature calculation and safety analysis for the wat...

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13th International Conference on Fluidized Bed Technology, CFB 2021

作者： Yang, Dong Liang, Ziyu Dong, Le Zhou, Xihong Li, Juan State Key Laboratory of Multiphase Flow in Power Engineering Xi’an Jiaotong University Shaanxi Xi’an710049 China

ISBN: (纸本)9781771368506

Temperature safety analysis was conducted on the smooth tube of the supercritical circulating fluidized bed boiler through experiments, numerical simulation, and hydrodynamic calculation. The numerical simulation results of the inner wall temperature were compared with the results of the experiments and hydrodynamic calculation. Experimental results showed that heat transfer enhancement occurred near a pseudocritical point. Non-uniform circumferential heating weakened the buoyancy effect, which could effectively delay or prevent the occurrence of heat transfer deterioration, and the circumferential distribution of the wall temperature and heat flux was parabolic. The simulated results of the inner wall temperature were in satisfactory agreement with the experimental results. Furthermore, the inner wall temperature values of the hydrodynamic calculation were lower than the experimental values. These findings indicated that the temperature experimental results obtained by non-uniform circumferential heating were conservative. © 2021 CFB 2021 - Proceedings of the 13th International Conference on Fluidized Bed Technology. All rights reserved.

关键词： Heat flux

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Review, Numerical Validation, and Experiment Verification for Definite Solution Analogy Theory (Dsat) in Thermal-Hydraulic Scaling

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SSRN 2024年

作者： Li, Xinyu Zhang, Dalin Jiang, Dianqiang Zhou, Xingguang Lv, Xindi Tian, Wenxi Qiu, Suizheng Su, Guanghui State Key Laboratory of Multiphase Flow in Power Engineering Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology School of Nuclear Science and Technology Xi’an Jiaotong University Xi’an710049 China China

The new generation of reactor technology: Fluoride-Salt-cooled high-Temperature Advanced Reactor (FuSTAR), mainly applied to the steady supply of stable electricity and high-temperature process heat for remote, underground, and arid areas. So far, the design of the heat transport system and Passive Residual Heat Removal System (PRHRS) of FuSTAR has been finished, but the scaling and experiment verification still needs to be carried out. In this study, the Definite Solution Analogy Theory (DSAT) was used for scaling analysis, and the scaling experiment platform of PRHRS was built. DSAT was verified through numerical simulation and experiment results, which can support the design and optimization of the PRHRS. The numerical test results show that the similar distribution of physical fields in dimensionless space on the prototype and experiment is realized under the DSAT framework. The steady-state experiment results show that the prototype of PRHRS can take away more than 1% of the decay heat of the total thermal power and has a margin of about 15% under a stable natural cycle. The maximum deviation between the measured temperature and the calculated value with DSAT is more than 4°C. The transient experiment results show that the maximum deviation of dimensionless solutions is less than 4%, which proves the high accuracy of DSAT and the PRHRS based on this framework can effectively remove the decay heat in the reactor. This work can be used to extend the scaling method of thermal-hydraulic in high dimensional space and transient conditions. © 2024, The Authors. All rights reserved.

关键词： Fluorine compounds

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Computational homogenization of thermomechanical properties for Fully Ceramic Microencapsulated fuel with 3D printed SiC matrix

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Annals of Nuclear Energy 2025年 222卷

作者： Chen, Yiwen Lu, Qi Liu, Changwen Li, Wei Zhang, Dalin Su, G.H. State Key Laboratory of Multiphase Flow in Power Engineering Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology School of Nuclear Science and Technology Xi'an Jiaotong University Xi'an710049 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu61213 China State Key Laboratory for Strength and Vibration of Mechanical Structures Xi'an Jiaotong University Xi'an710049 China

Fully Ceramic Microencapsulated (FCM) fuel, fabricated using 3D printing technology, incorporates traditional Tristructural-Isotropic (TRISO) fuel particles embedded within a 3D-printed SiC matrix. This fuel type shows great potential for compact, high-temperature nuclear reactors. However, comprehensive performance analysis remains challenging due to the multilayered structure, complex material properties, and the irradiation behavior of numerous TRISO particles within the matrix. To address these challenges, this study aims to apply finite element (FE)-based computational homogenization to evaluate the fuel's thermomechanical properties. First, a detailed finite element analysis (FEA) of a single TRISO particle's performance was conducted, focusing primarily on the Buffer-IPyC gap size change during irradiation, a critical factor influencing the fuel's thermal performance. Second, the homogenization of a single TRISO particle was performed using FEA, accounting for the changes in the Buffer-IPyC gap size. Finally, homogenized TRISO particles were randomly distributed and perfectly bonded within a 3D-printed SiC matrix to form a Representative Volume Element (RVE). The FE homogenization of the RVE was then conducted to derive the effective thermomechanical properties of the FCM fuel. The packing fraction of TRISO particles in the matrix ranged from 10 % to 50 %, with temperature and burnup conditions spanning 800–1600 K and 0–16 % FIMA, respectively. Results show that irradiation significantly affects the effective properties of the fuel, though this impact diminishes as burnup increases. Additionally, the effective thermal conductivity of the FCM fuel decreases with increasing TRISO packing fraction, assuming the thermal conductivity of the SiC matrix exceeds that of TRISO particles. This study provides a valuable reference for the design and optimization of FCM fuel for future nuclear applications. © 2025 Elsevier Ltd

关键词： Thermal conductivity of solids

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Molecular dynamics study of shale oil adsorption and diffusion behavior in reservoir nanopores: Impact of hydrocarbon composition and surface type

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Journal of Molecular Liquids 2024年第PartA期414卷

作者： Zheng, Lichen Zhao, Qiuyang Adams, Michael J. Alexiadis, Alessio Wang, Yechun Jin, Hui Guo, Liejin State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong University Xi'an710049 China School of Chemical Engineering University of Birmingham BirminghamB15 2TT United Kingdom

Understanding shale oil adsorption in reservoir nanopores is essential for efficient extraction. This study used MD simulations to analyze the adsorption and diffusion of two- and multi-component hydrocarbons (Aromatics, Alkanes, Resin) on various shale surfaces (Calcite, Montmorillonite, Quartzite, Organic) at 353 K and 25 MPa. Hydrocarbons formed a bilayer adsorption structure comprising a high-concentration adsorption layer (L1, 0.35–0.90 g/cm3) and a low concentration weak adsorption layer (L2), with adsorption density ranked as Resin > Aromatics > Alkanes. Reservoir surfaces were classified as ionic (e.g., calcite, montmorillonite) and non-ionic (e.g., quartz, graphite), and polar hydrocarbons exhibited higher adsorption densities and energies on ionic surfaces due to combined electrostatic and van der Waals interactions, while non-ionic surfaces showed smaller adsorption differences. For multicomponent hydrocarbons, adsorption layer densities followed the order: graphite > MMT-SiO > quartz > calcite > MMT-Na, with competitive adsorption observed. The polar component exhibited a greater adsorption advantage on the calcite, MMT-SiO side and graphite surfaces due to electrostatic interactions and π-π interactions, and a lesser advantage on the MMT-Na side and quartz surfaces. Hydrocarbon diffusivity was influenced by molecular mass and polarity and ordered as Alkanes > Aromatics Resin. Polar molecules had a weaker diffusion than nonpolar molecules at similar molecular masses. Among the multicomponent hydrocarbons, the self-diffusion coefficient (Self-D) of Resin increased, while that of lighter components decreased compared to two-component systems. These findings offer strategies for improving shale oil recovery by tailoring injection fluids to reservoir types, anionic surfactants or chelating agents may be used to reduce electrostatic interactions in carbonate and clay reservoirs, while nonionic surfactants may be more effective in quartz reservoirs. © 2024

关键词： Nonionic surfactants

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Uncertainty Analysis of FLiNaK Thermophysical Properties on Convective Heat Transfer Characteristics in Circular Tube

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SSRN 2024年

作者： Li, Haoyang Ding, Ming Guo, Zehua Heilongjiang Provincial Key Laboratory of Nuclear Power System & Equipment Harbin Engineering University Harbin150001 China State Key Laboratory of Multiphase Flow in Power Engineering Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology School of Nuclear Science and Technology Xi’an Jiaotong University Xi’an710049 China

Molten salts have attracted a spate of quantity of interest in energy and chemistry fields due to their large volumetric capacity, and thermodynamic stability at elevated temperatures. However, on account of immature technology and measurement methods, the physical properties of molten salts, such as dynamic viscosity, thermal conductivity, specific heat capacity and density, have large uncertainties, which will be transported with CFD simulation equations and experimental processes. While present investigations normally focus on thermal-hydraulic characteristics, disregarding the impact of uncertainty on reactor safety. Thus, this paper firstly performs a numerical simulation to investigate the thermal-hydraulic performance of FLiNaK (LiF-NaF-KF, 46.5–11.5–42 mol%) in a horizontal tube using a computational fluid dynamic (CFD) tool, STAR-CCM+, and validates the applicability of classic correlations for molten salt. Based on this, an uncertainty analysis methodology, polynomial chaos expansion (PCE) is carried out to analyze the uncertainty that contributes to the heat transfer characteristic. Three primary physical properties of molten salt are considered as the input parameter, tensor product quadrature nodes are employed in this work to calculate the representative sample points to alleviate the computational expense. The contributions of each parameter to heat transfer are also analyzed by the sobol composition method. Finally, deviations in the experimental post-processing (compared with classic correlations) caused by discrepancies in the selected properties from the actual properties due to uncertainty are also taken into account. The result shows the thermal-hydraulic performance can be nicely modeled and simulated results are in good agreement with widely used correlations. Meanwhile, the consequences of uncertainty analysis suggest that the polynomial chaos expansion methodology is robust and neoteric for molten salt analysis. © 2024, The Authors. All righ

关键词： Uncertainty analysis

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