Energy最新文献

{"title":"Reducing carbon dioxide emissions in metallurgical production and conserving energy consumption during train operation","authors":"Denys Baranovskyi,&nbsp;Maryna Bulakh","doi":"10.1016/j.energy.2026.140371","DOIUrl":"10.1016/j.energy.2026.140371","url":null,"abstract":"<div><div>This paper presents a solution to reduce carbon dioxide emissions in metallurgical production and conserving train energy consumption by lowering the mass of railcars. The study simultaneously focuses on reducing traction energy consumption in rail transport and lowering CO₂ emissions from steel production, demonstrating an interdisciplinary engineering–environmental approach. A theoretical model for train energy consumption during movement across various track sections is developed, incorporating Newton's second law and accounting for forces such as traction, resistance, incline, and braking. The model simulates energy consumption for different speeds, gradients, section lengths, and travel times. Results indicate that energy consumption increases with higher speeds and steeper gradients, but decreases on descending sections, aligning with expected train dynamics. These findings are validated through experiments, showing a margin of error between 2.6% and 4.5%, confirming the model's accuracy. At a speed of 60 km/h, experimental and theoretical energy consumption for a straight section were nearly identical. Even on inclined and descending sections, discrepancies were minimal, supporting the model's reliability. Numerical simulations for a 40 km route at speeds between 60 and 160 km/h showed traction energy savings of 425.69–1199.65 kWh per train, while the railcar mass was reduced by 7.24% through design optimization. The forecast for railcar production to 2030 suggests an increase of 13.7%, which requires further structure optimization measures to minimize the environmental impact. According to the study, reducing the mass of railcars will reduce the need for steel by 1520.95–2465.24 tons per year, which will lead to a reduction in carbon dioxide emissions by 3041.91-4930.48 tons per year.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140371"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heat extraction mechanism in hot dry rock based on horizontal wells with multi-stage fracturing","authors":"Yu Shi ,&nbsp;Yulong Zhang ,&nbsp;Guangyi Wang ,&nbsp;Xu Zhang ,&nbsp;Xianzhi Song ,&nbsp;Qiliang Cui ,&nbsp;Gaosheng Wang","doi":"10.1016/j.energy.2026.140217","DOIUrl":"10.1016/j.energy.2026.140217","url":null,"abstract":"<div><div>Multi-stage fracturing with horizontal wells is currently recognized as the most promising reservoir stimulation technique for the development of Hot Dry Rock (HDR) resources. While current research predominantly focuses on optimizing operational parameters during injection and extraction, the specific influence of fracture parameters remains underexplored. Experimental evidence confirms that shear-induced dilation significantly impacts reservoir permeability. Consequently, this study establishes a Thermo-Hydro-Mechanical (THM) coupled model based on Discrete Fracture Networks (DFN) to quantitatively characterize network connectivity and investigate the dynamic evolution of fracture apertures driven by shear dilation in multi-stage fractured horizontal wells. A comprehensive sensitivity analysis is conducted to evaluate the impact of fracture morphological parameters and operational parameters on heat extraction performance. Results indicate that rock deformation is predominantly localized around the injection well, while stress perturbations attenuate continuously toward the production well. Notably, fractures with larger strike angles exhibit significant aperture expansion induced by shear dilation, a phenomenon further amplified by increased in-situ stress differences. Crucially, the sensitivity analysis reveals that heat extraction performance exhibits significantly higher sensitivity to fracture morphological parameters than to operational parameters. Consequently, optimizing multi-stage fracturing configurations is identified as a key strategy to mitigate thermal breakthrough. These findings offer essential theoretical guidance for developing efficient heat extraction strategies in HDR reservoirs.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140217"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Next-generation LNG regasification: Natural draft ambient air vaporizer with buoyancy-driven convection for enhanced performance and reduced cost/footprint","authors":"Xiaoxiao Li ,&nbsp;Qian Zhang ,&nbsp;Yi Que ,&nbsp;Qibin Li ,&nbsp;Chao Liu ,&nbsp;Junjie Feng","doi":"10.1016/j.energy.2026.140414","DOIUrl":"10.1016/j.energy.2026.140414","url":null,"abstract":"<div><div>Liquefied natural gas, a crucial transition fuel, demands efficient and low-carbon regasification. Conventional ambient air vaporizers face critical limitations, including low air-side heat transfer coefficients (&lt;10 W m⁻² K⁻¹) and large footprints, due to reliance on natural convection. To overcome these challenges, this study proposes a novel Natural Draft-Integrated Ambient Air Vaporizer (NDAAV). Inspired by natural draft dry cooling towers, the NDAAV reconfigures air-side heat transfer to buoyancy-driven forced convection via a hyperbolic tower structure that harnesses stack effects. Comprehensive 1-D and 3-D modeling validates the concept, demonstrating a 485% enhancement in the air-side convective heat transfer coefficient (55.78 W m⁻² K⁻¹) and a 477% increase in the overall heat transfer coefficient under dry design conditions. Sensitivity analysis confirms robust off-design performance during ambient and LNG parameter fluctuations. Furthermore, while frost formation under high humidity can degrade performance by impeding the buoyancy-driven flow, the NDAAV maintains a significant thermal advantage over conventional AAVs across most operating scenarios. Multi-objective optimization identifies an optimal tower aspect ratio of 1.33, enabling simultaneous footprint reduction (64–70%) and capital cost savings (35–38%) across capacities of 100,000–500,000 Nm³ h⁻¹. This combustion-free, water-independent technology demonstrates the conceptual viability of a scalable, low-carbon pathway for distributed LNG regasification.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140414"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation on the evolution in physiochemical properties of soot from ammonia/diesel engines along the after-treatment devices in the exhaust process","authors":"Junfeng Huang ,&nbsp;Zhongwei Meng ,&nbsp;Jianbing Gao ,&nbsp;Xiaochen Wang ,&nbsp;Yunge Zhao ,&nbsp;Mingxu Qi","doi":"10.1016/j.energy.2026.140359","DOIUrl":"10.1016/j.energy.2026.140359","url":null,"abstract":"<div><div>Exploring the changes of soot emissions from ammonia/diesel engines in the exhaust process is essential for developing specialized emission control strategies. This study investigates the evolution pattern in physiochemical properties of soot from ammonia/diesel engines along the after-treatment devices. The results show that the C-H and C-N functional groups are formed after soot passing through diesel oxidation catalyst (DOC), while the catalytic diesel particulate filter (CDPF) facilitates the decomposition of C-H groups and the conversion of C-N to C=N functional groups. The degree of soot graphitization gradually increases in the exhaust process, with DOC exhibiting the significant effects on the D1 carbon component, while the CDPF mainly acts on the D3 and D4 carbon components. DOC reduces the degree of soot agglomeration, causing a slight shift in the particle size distribution towards small diameter. In contrast, diesel particulate filter (DPF) or CDPF enhances the soot agglomeration. The orderliness of soot nanostructure increases in the exhaust process, and the length of microcrystals shifts towards large microcrystalline size, accompanied by soot edge oxidation affected by CDPF. The DOC and DPF reduce the content of C=O functional groups, while the CDPF promotes the generation of oxygen-containing groups. In addition, the nitrogen-containing groups such as pyridine structure compounds (N-6), pyrrole structure compounds (N-5) and nitrogen oxides (N-O_<em>x</em>) gradually decrease during the exhaust.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140359"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Humidity-triggered autothermal regulation of lithium-ion batteries via liquid metal-PCM composites for enhanced cold-environment performance","authors":"Sihong He ,&nbsp;Rukun Liu ,&nbsp;Shahid Ali Khan ,&nbsp;Kejian Dong ,&nbsp;Song Ni ,&nbsp;Dongxu Ji ,&nbsp;Jiyun Zhao","doi":"10.1016/j.energy.2026.140351","DOIUrl":"10.1016/j.energy.2026.140351","url":null,"abstract":"<div><div>Low-temperature operation degrades lithium-ion battery (LIB) performance and safety. We report a humidity-responsive composite that combines eutectic gallium-indium-coated aluminum (LM@Al), active carbon, and phase-change microcapsules (PCMs) to enable rapid, controllable preheating and sustained thermal buffering without the need for external electronics. LM@Al releases exothermic heat through Al-water redox while liquid metal forms a catalytic, thermally conductive shell; activated carbon accelerates moisture transport; and PCM absorbs peak heat, prolonging insulation. SEM-EDX confirms core-shell LM@Al particles and LM microdroplet formation during reaction. Systematic tests on 18,650 cells identify an optimal composition (LM:Al:PCM = 10:1:2 with 10% fixed active carbon) and a 3 mm composite thickness, achieving heating rates of up to 4.9 °C/min and a safe peak temperature of 29 °C at an ambient temperature range of −10 to 0 °C. Humidity control strategies tune heat release to match discharge rates, balancing rapid preheating and material consumption. At extreme −20 °C, performance is limited by water freezing. The continuous 90% RH supply approach converts pulsed humidity-triggered heat into uniform, mild thermal output, improving low-temperature discharge capacity and mitigating capacity fade, offering a promising passive BTMS solution for cold-climate battery applications. Future work should address challenges related to scale-up, long-term cycling, and integration.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140351"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Compression scheme comparison for a carbon dioxide energy storage system","authors":"Xintao Fu ,&nbsp;Yuwei Jiao ,&nbsp;Zhan Liu","doi":"10.1016/j.energy.2026.140298","DOIUrl":"10.1016/j.energy.2026.140298","url":null,"abstract":"<div><div>The gas-liquid type compressed carbon dioxide energy storage is an emerging potential energy storage technology to stable the renewable power output. The trying improvements that this paper is focused on are effective realization of the gas-liquid conversion of the high pressure CO₂ without utilizing extra cold sources and efficient allocating the pressure ratio in the compression/expansion lines. Two self-condensing systems with qual pressure ratio and equal outlet temperature arrangements are proposed and evaluated. Numerical simulations to the considered systems are conducted on an in-house code that is compiled with the established energy, exergy and economic mathematical models. Results indicate that the equal outlet temperature system is more suggested due to its lower levelized cost of storage at the optimized operating conditions, being 0.11329 $/kWh when the high-pressure cooler cold-side temperature difference is 11 °C, liquid CO₂ temperature is 16 °C and throttling pressure is 7.8 MPa. In the component level, the gas holder and liquid CO₂ tank constitute the highest portion to the overall system purchase cost. The compressors, turbines, evaporator and condenser account for the largest share of thermodynamic inefficiencies in sequence. The pinch temperature difference of the condenser and evaporator should not be higher than 8 °C.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140298"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Explainable and physics-constrained PV power prediction via a hybrid framework Integrating secondary decomposition and improved Transformer-LSTM","authors":"Jiahao Zou,&nbsp;Zhaocai Wang,&nbsp;Zhaoyang Zhu,&nbsp;Zuowen Tan","doi":"10.1016/j.energy.2026.140314","DOIUrl":"10.1016/j.energy.2026.140314","url":null,"abstract":"<div><div>Photovoltaic power generation (PVPG) is susceptible to meteorological conditions, exhibiting significant randomness and volatility. Therefore, accurate and reliable PVPG prediction is crucial for enhancing grid stability. However, existing data-driven prediction methods often overlook the system's inherent physical mechanism, which can lead to prediction results that violate actual operating laws. This study presents a physics-constrained hybrid model, integrating Transformer and Long Short-Term Memory (LSTM) networks with a secondary decomposition strategy, for the multi-step short-term forecasting of PVPG. Initially, a Seasonal and Trend Decomposition using Loess (STL) method is utilized to decompose the original dataset. Subsequently, variational mode decomposition (VMD), optimized by an improved Dream Optimization Algorithm (DOA), is utilized to decompose the residual term. Subsequently, the decomposed components and the screened features are fed into a hybrid Transformer-LSTM model, with its hyperparameter optimized by an improved Dream Optimization Algorithm, to complete the final power prediction. To ensure the predictions adhere to the physical principles of photovoltaic power generation, the model utilizes a designed physics-constrained loss function specifically. On the Australian dataset, the proposed model is evaluated and is observed to achieve better performance than other methods in both prediction accuracy and robustness. Specifically, on Site 1, the R-squared and RMSE for the overall prediction performance are 0.9423 and 0.2326, respectively, demonstrating superior prediction performance. Moreover, it also exhibits superior prediction capability across different datasets, seasons, and weather conditions. Finally, explainability analysis was conducted using SHAP method. This multi-step short-term PVPG prediction method has the potential to enhance grid stability and the stable regulation of energy.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140314"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of liquid droplet injection in steam turbine blades: Loss reduction, droplet size control, and performance enhancement","authors":"Shoubing Zhang,&nbsp;Zunlong Jin,&nbsp;Guojie Zhang","doi":"10.1016/j.energy.2026.140384","DOIUrl":"10.1016/j.energy.2026.140384","url":null,"abstract":"<div><div>In steam turbines, particularly in the low-pressure section, liquid droplet injection (LDI) is recognized as an advanced technique for regulating condensation. Instead of allowing large droplets to form, this method encourages condensation on the injected droplets, leading to finer and more uniform droplet formation. The purpose of this research is to minimize the occurrence of sudden, large droplets by promoting smaller, evenly distributed ones. To achieve this, the study investigates the droplet injection technique in detail and employs the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method to find the best injection strategy. The evaluation is based on several criteria, including mass flow rate, different entropy contributions (thermal, frictional, and phase change), total pressure loss coefficient (TPLC), droplet radius, liquid mass fraction (LMF), and kinetic energy. Results demonstrate that droplet injection has a strong influence on droplet radius, pressure losses, and phase change entropy. While the technique successfully decreases droplet size in certain cases, it consistently increases the liquid phase production across all tested scenarios. Injecting <span><math><mrow><msup><mn>10</mn><mn>18</mn></msup></mrow></math></span> 1/kg droplets with a mass fraction of 0.1% results in significant changes in various parameters: the average droplet radius at the output drops by 44.1%, phase change entropy falls by 76.1%, and the TPLC is reduced by 29.15%. Thermal entropy production and mass flow rate decrease by 10.96% and 2.8%, respectively, while the LMF at the outlet rises by 9.61%. Kinetic energy and frictional entropy production experience increases of 2.38% and 5.96%, respectively.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140384"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Insights into the impact of polluted moist air on transonic condensation flow to enhance compressor performance: experimental and numerical investigation","authors":"Guojie Zhang ,&nbsp;Hao Yang ,&nbsp;Zunlong Jin ,&nbsp;Mirosław Majkut ,&nbsp;Krystian Smołka ,&nbsp;Yifan Yang ,&nbsp;Sławomir Dykas","doi":"10.1016/j.energy.2026.140175","DOIUrl":"10.1016/j.energy.2026.140175","url":null,"abstract":"<div><div>Non-equilibrium condensation in transonic moist air flows can significantly affect the aerodynamic performance and operational reliability of compressed air energy storage (CAES) compressors. Considering the non-equilibrium phase-change processes induced by strongly varying temperature and pressure conditions at the compressor inlet, the present study investigates moist air condensation through a combined experimental and numerical approach based on transonic Laval nozzle flows. A new droplet growth model is employed to predict non-equilibrium condensation processes of particulate-laden moist air in both a transonic Laval nozzle and compressor blade passages relevant to CAES systems. An integrated research approach combining experimental measurements and numerical simulations is adopted, enabling reliable prediction of condensation-induced shock structures and pressure variations under humid operating conditions. This study develops a comprehensive mathematical and physical framework and proposes a blended condensation model to capture the complex interplay between vapor condensation and particle-induced nucleation. The proposed model is validated against experimental and numerical results obtained in a transonic Laval nozzle, demonstrating reliable predictive capability. Building upon this validation, the model is further applied to investigate the flow structure and condensation behavior within compressor rotor passages under moist air conditions. The influences of inlet air temperature ranging from 282.05 to 303.15 K and relative humidity varying between 20% and 83.7% on condensation behavior and compressor-relevant performance parameters are systematically analyzed. The results show that increasing inlet relative humidity leads to an earlier onset of condensation and increases total pressure loss by approximately 6–10%, accompanied by a reduction in isentropic efficiency of up to 3%. In contrast, moderate inlet air preheating effectively suppresses premature condensation and reduces condensation-induced pressure losses by about 7–9% under high-humidity conditions. Furthermore, condensation-related irreversibility is found to intensify with decreasing inlet temperature and increasing humidity, highlighting its non-negligible impact on CAES compressor performance. These findings provide quantitative insights into condensation-driven efficiency degradation and highlight the necessity of controlling inlet humidity to ensure stable and efficient operation of CAES systems.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140175"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An evolutionary game analysis about the low-carbon transition of power plants considering the carbon tax","authors":"Na Lu ,&nbsp;Jinyu Wei ,&nbsp;Yaoxi Liu ,&nbsp;Xin Yang","doi":"10.1016/j.energy.2026.140071","DOIUrl":"10.1016/j.energy.2026.140071","url":null,"abstract":"<div><div>Renewable energy substitution, along with carbon capture and utilization, represents crucial strategies for China in its pursuit of achieving carbon peaking and carbon neutrality goals. In this context, this paper contracts an evolutionary game framework including the government (GOVT), coal-fired power plants (CPPs) and renewable energy power plants (REPPs) with the Hotelling model, to elucidate the influence of critical factors on the low-carbon transition of power plants. The results are as follows: (1) carbon tax phase-in policy would be better than a static carbon tax policy; (2) The government should set an appropriate subsidy phase-out rate; (3) For the government and CPPs, when the lifetime of coal-fired generating units is in a high level, the carbon tax and the proportion of CPPs’ carbon tax payment are in a low level, the evolution trajectory of the government and CPPs will be in a more stable situation; REPPs can evolve to an energy storage strategy more rapidly in a low level subsidy phase-out rate, at the same time, the price of hydrogen of the REPPs sold to the outside enterprises should be in a low level, which can prevent the system from evolving to the ideal state.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"347 ","pages":"Article 140071"},"PeriodicalIF":9.4,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}