{"title":"Integrating EAHX and ventilation systems through a decision-making algorithm for enhanced energy efficiency and thermal comfort in smart buildings","authors":"Marouane Wakil, Haitham Sghiouri, Mohamed Oualid Mghazli, Hicham El Mghari, Mohamed Bakhouya, Samir Idrissi Kaitouni","doi":"10.1016/j.enconman.2024.119411","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119411","url":null,"abstract":"This research introduces a novel decision-making algorithm designed to optimize the use of Earth-to-Air Heat Exchangers (EAHX) and ventilation in buildings, aiming to improve thermal comfort and reduce the reliance on conventional Heating, Ventilation and Air Conditioning (HVAC) systems. Through comprehensive simulation-based method, the study evaluates the algorithm’s effectiveness in various seasonal conditions. It highlights the effectiveness of the ’Combined’ scenario, integrating EAHX and ventilation, which reduces energy consumption for heating and cooling by 14% and 16%, respectively. The findings also reveal notable seasonal variations in thermal comfort, with the integrated approach demonstrating enhanced performance in both summer and winter. This study underscores the potential of combining EAHX and ventilation systems in sustainable building practices, providing tailored solutions that address specific climatic and architectural conditions. The results contribute to advancing energy-efficient and environmentally conscious building design, marking a step forward in the pursuit of sustainable construction in an era of increasing environmental challenges.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"90 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888354","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}
Joungho Park, Sungho Kang, Sunwoo Kim, Hana Kim, Hyun-Seok Cho, Jay H. Lee
{"title":"Comparative techno-economic evaluation of alkaline and proton exchange membrane electrolysis for hydrogen production amidst renewable energy source volatility","authors":"Joungho Park, Sungho Kang, Sunwoo Kim, Hana Kim, Hyun-Seok Cho, Jay H. Lee","doi":"10.1016/j.enconman.2024.119423","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119423","url":null,"abstract":"This study explores the economic feasibility of two leading electrolysis technologies—alkaline electrolysis and proton exchange membrane electrolysis—in the context of rapid temporal fluctuations from renewable energy sources. Alkaline electrolysis currently benefits from its relative maturity and established economic advantages. On the other hand, proton exchange membrane electrolysis offers enhanced operational flexibility and substantial potential for technological advancements that could significantly improve its economic viability and efficiency over the long term. Comprehensive process models of various system components are developed to evaluate the impact of minimum load requirements on these systems and explore strategies to mitigate these effects. Initially more economically viable, alkaline electrolysis could see its advantage shift with the strategic integration of batteries to reduce on/off operations and the implementation of overload operations, compared to proton exchange membrane electrolysis. A sensitivity analysis confirms the future competitiveness of these technologies, considering anticipated technological improvements, the influence of key economic variables, multi-year variability in weather patterns, and the impacts of maintenance requirements and system downtime associated with frequent on/off cycles.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"3 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888361","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}
Jincheng Hu, Jihao Li, Ming Liu, Yanjun Huang, Quan Zhou, Yonggang Liu, Zheng Chen, Jun Yang, Jingjing Jiang, Yuanjian Zhang
{"title":"Refining the black-box AI optimization with CMA-ES and ORM in the energy management for fuel cell electric vehicles","authors":"Jincheng Hu, Jihao Li, Ming Liu, Yanjun Huang, Quan Zhou, Yonggang Liu, Zheng Chen, Jun Yang, Jingjing Jiang, Yuanjian Zhang","doi":"10.1016/j.enconman.2024.119399","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119399","url":null,"abstract":"Fuel cell electric vehicles (FCEVs) represent a significant advancement in zero-emission green mobility. By integrating deep reinforcement learning (DRL) for multi-objective energy management strategies, they unlock substantial potential for efficient and sustainable driving. However, the black-box nature of DRL and the challenges in designing multi-objective reward functions pose optimization difficulties. In this paper, we propose to an adaptive evolutionary framework to enhance DRL-based energy management strategies (EMS) by employing the covariance matrix adaptation evolutionary strategies (CMA-ES) for effective black-box optimization. By implementing an opponent reference mechanism, a self-balanced reward function for multiple optimization targets, including vehicle dynamics, powertrain economy, and more, is constructed in the proposed approach. This allows the system to automatically weigh sub-optimization targets and learn superior energy management behaviour via numerous simulation trajectories. The processor-in-the-loop (PIL) test results demonstrate that the proposed solution responds to adaptive adjustment conditions without violating any safety constraints, reduces energy consumption by at least 18.4%, and greatly improves energy utilization efficiency and safety. It exhibits promising optimality in complex energy management problems and robustness to varying velocity profiles, delivering a significant performance advantage over baseline approaches.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"19 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888302","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":"Comparative visualization study of turbulent jet ignition for zero carbon ammonia-hydrogen pre-chamber engines: focus on pre-chamber parameters optimization and hydrogen blending ratio","authors":"Yuhao Liu, Yu Liu, Fangxi Xie, Linghai Han, Yanfeng Gong, Dingchao Qian, Jingxun Yang","doi":"10.1016/j.enconman.2024.119432","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119432","url":null,"abstract":"Ammonia, a carbon-free fuel, holds significant potential for clean combustion applications, but challenges like ignition difficulties and slow combustion rates limit its practical use. This study aims to improve the ignition and combustion of ammonia-hydrogen mixtures using turbulent jet ignition, with experiments conducted in an optical constant volume combustion chamber. The investigation focuses on optimizing three key parameters: the equivalence ratio of hydrogen injected into the pre-chamber (Φ<ce:inf loc=\"post\">p,h</ce:inf>), the pre-chamber nozzle diameter (D<ce:inf loc=\"post\">N</ce:inf>), and the volume ratio of hydrogen mixed in the main chamber (V<ce:inf loc=\"post\">H</ce:inf>). Results indicate that adjusting Φ<ce:inf loc=\"post\">p,h</ce:inf> and D<ce:inf loc=\"post\">N</ce:inf> can significantly increase ignition energy, leading to a stronger hot jet flame and a faster combustion process. A D<ce:inf loc=\"post\">N</ce:inf> of 3 mm achieves a balance between ignition stability and combustion duration, while a larger D<ce:inf loc=\"post\">N</ce:inf> (4 mm) reduces pressure buildup, resulting in slower flame ejection. In contrast, a smaller D<ce:inf loc=\"post\">N</ce:inf> (2 mm) extends ignition delay due to re-ignition effects. Increasing V<ce:inf loc=\"post\">H</ce:inf> to 0.1 shortens ignition delay by 7.6 % and reduces combustion duration by 10.4 %. The optimal configuration—D<ce:inf loc=\"post\">N</ce:inf> = 3 mm, Φ<ce:inf loc=\"post\">p,h</ce:inf> = 1.0, and V<ce:inf loc=\"post\">H</ce:inf> = 0.1—achieves an 80.7 % reduction in ignition delay and a 35.0 % decrease in combustion duration compared to the passive pre-chamber.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"10 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888358","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":"Green hydrogen production and storage via excess energy derived from a hybrid power system under different climatic conditions: Cameroon case study","authors":"Yemeli Wenceslas Koholé, Blaise Romuald Ngopgang, Fodoup Cyrille Vincelas Fohagui, Clint Ameri Wankouo Ngouleu, Ghislain Tchuen","doi":"10.1016/j.enconman.2024.119418","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119418","url":null,"abstract":"Growing energy demands and environmental concerns underscore the need for sustainable power solutions, especially in regions with diverse climatic and energy requirements like Cameroon. This study evaluates a self-sufficient hybrid energy system designed to meet three distinct electricity demands: rural residential load, multimedia institutional load, and medical facility load across various climatic conditions in Cameroon, including locations such as Bafoussam, Mbouda, Ngaoundéré, Garoua, Maroua, and Logone-Birni. The system, which integrates wind turbines, photovoltaic panels, an electrolyser, a hydrogen tank, and a fuel cell, is engineered to produce and store excess hydrogen in a secondary tank once the primary hydrogen storage tank is full and the energy needs are met. To determine the optimal system configuration, three evolutionary optimization algorithms namely the teaching–learning-based optimization, colliding bodies optimization, and water evaporation optimization algorithms were employed. The effectiveness of these algorithms was evaluated based on their ability to minimize the system’s net present cost. The optimization process compared various hybrid energy system setups, including photovoltaic/fuel cell, Wind/fuel cell, and photovoltaic/Wind/fuel cell, with regard to net present cost, levelized cost of energy, reduction in carbon dioxide emissions, and performance metrics such as the mass, volume, and levelized cost of hydrogen stored in the secondary hydrogen storage tank. Key findings reveal that the teaching–learning-based optimization algorithm outperforms the others, with the photovoltaic/Wind/fuel cell setup achieving the most favorable net present cost values of $188,024.35, $237,986.44, and $141,409.71 for rural residential, multimedia institutional, and medical facility loads, respectively, particularly in Maroua. This configuration also offers the lowest levelized cost of energy, ranging from $1.74/kWh, $0.94/kWh, and $1.60/kWh in Maroua to $1.93/kWh, $1.06/kWh, and $1.80/kWh in Mbouda for the respective profiles. Hydrogen production was most cost-effective in the photovoltaic/fuel cell configuration, with Mbouda demonstrating the highest annual hydrogen yields for all profiles, at levelized cost of hydrogen values of $10.13/kg, $8.91/kg, and $24.61/kg for the rural residential, multimedia institutional, and medical facility loads profiles, respectively. Notably, the Wind/fuel cell configuration consistently reduced carbon dioxide emissions compared to traditional fuel oil and natural gas power plants, achieving reductions of up to 12.17 tons per year for the rural residential in Bafoussam. These insights underscore the potential of hybrid renewable energy systems to support sustainable energy strategies in Cameroon, providing a valuable framework for policymakers and stakeholders in the energy sector.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"29 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888364","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}
Wei-Wei Yang, Xin-Yuan Tang, Xu Ma, Xiangkun Elvis Cao, Ya-Ling He
{"title":"Synergistic intensification of palladium-based membrane reactors for hydrogen production: A review","authors":"Wei-Wei Yang, Xin-Yuan Tang, Xu Ma, Xiangkun Elvis Cao, Ya-Ling He","doi":"10.1016/j.enconman.2024.119424","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119424","url":null,"abstract":"Hydrogen is a clean, zero-carbon energy carrier that is critical in the transition to a renewable energy system. Hydrogen production membrane reactors are based on membrane technology for process intensification, allowing simultaneous reaction enhancement and hydrogen purification. However, concentration polarization creates mismatch between reaction and separation processes, limiting the performance. To further develop and increase the hydrogen production efficiency in membrane reactors, this review first provides advances in membrane reactor research from several perspectives, including membrane materials, performance metrics, and evaluation tools. Subsequently, the effects of operating conditions and structural design on the performance enhancement of membrane reactors are organized and analyzed. The review focuses on summarizing the mechanisms for improving membrane reactor design performance, proposing four methods: shortening distance, increasing routes, smoothing paths, and multi-product removal. Additionally, it is suggested to draw on membrane surface pattern designs to guide the disruption of concentration boundary layers. The review finds that enhancement ways primarily revolve around mitigating concentration polarization. Various ways have the potential to achieve low-cost and higher performance by complementing each other’s strengths, such as minimizing the use of precious metals and employing low-cost multi-product separation. Moreover, there is a lack of corresponding evaluation standards for membrane reactors, which hinders the subsequent commercialization development. Finally, this review combines existing challenges and research progress to provide perspectives for the future development of membrane reactors. The major goal is to introduce new research methods to further promote the application of membrane reactors in greater depth.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"19 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888285","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":"Corrigendum to “Comprehensive analysis and optimization of combined cooling heating and power system integrated with solar thermal energy and thermal energy storage” [Energy Conv. Manag. 275 (2022) 116464]","authors":"Lanhua Liu, Ruilin Wang, Yuhao Wang, Wenjia Li, Jian Sun, Yafei Guo, Wanjun Qu, Weiling Li, Chuanwen Zhao","doi":"10.1016/j.enconman.2024.119433","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119433","url":null,"abstract":"","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"29 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888356","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}
Kuber Singh Mehra, Iyman Abrar, Ravi Kant Bhatia, Varun Goel
{"title":"A comprehensive review of algae consortium for wastewater bioremediation and biodiesel production","authors":"Kuber Singh Mehra, Iyman Abrar, Ravi Kant Bhatia, Varun Goel","doi":"10.1016/j.enconman.2024.119428","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119428","url":null,"abstract":"Microalgae have emerged as the most potential microbe for wastewater bioremediation while also producing various bio-energy products, ensuring both water and energy security. In recent decades, the co-cultivation of algae-fungi and algae-bacteria consortia has gained more interest due to its enhanced effectiveness in nutrient removal from wastewater and increased biomass production. The present study aims to comprehensively discuss the mechanism, cultivation, harvesting, and CRISPR/Cas9 gene-editing aspects of microalgae and its consortia for wastewater treatment. The enhancement of wastewater treatment and biomass yield through co-cultivation of microalgae-bacterial (MB-C), microalgae-fungi (MF-C), and microalgae-cyanobacteria consortia has been comprehensively analyzed with an updated comparative picture. Further, algae consortia-based biomass potential for biodiesel production has been explored. Factors such as agitation, exogenous carbon supplementation, and harvest frequency play vital roles in algal growth, biomass productivity, and nutrient removal. Reducing algae harvesting costs and finding methods that enable the production of bio-products remain ongoing challenges in algae-based industries.CRISPR-Cas9 stands out as an effective and convenient tool for genome editing. Both MF-C and MB-C hold great promise for wastewater treatment, pollutant removal, and resource recovery. The MF-C strain produces more biomass and lipids than single-culture strains. However, some strains in the MB-C system inhibit lipid development due to a less porous and nitrogen-sensitive system. Furthermore, lipid molecular structures can be engineered, and free fatty acid content can be optimized and personalized through co-cultivation, which is advantageous for biodiesel production. Microalgae consortia-based wastewater treatment could play a significant role in the waste management hierarchy, promoting circular economy and sustainability.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"48 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888360","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}
Iman Sarani, Zhiming Bao, Wenming Huo, Zhengguo Qin, Yanchen Lai, Kui Jiao
{"title":"Applying phase change materials and predictive modeling to optimize proton exchange membrane fuel cells","authors":"Iman Sarani, Zhiming Bao, Wenming Huo, Zhengguo Qin, Yanchen Lai, Kui Jiao","doi":"10.1016/j.enconman.2024.119421","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119421","url":null,"abstract":"Rising global energy demands and environmental concerns necessitate significant advancements in efficient and sustainable energy technologies. Proton exchange membrane fuel cells represent a promising technology for clean energy generation. However, performance inconsistencies and thermal management challenges during downtime limit their practical application. Therefore, this study employs a comprehensive approach to enhance the performance and efficiency of proton exchange membrane fuel cells. It leverages response surface methodology and artificial neural networks for predictive modeling and optimization, as well as phase change materials for maintaining optimal conditions during downtime. A central composite design was implemented to evaluate the influence of critical operational parameters, including temperature, pressure, and inlet flow rates, on the power density. The developed response surface methodology and artificial neural networks models demonstrated high predictive accuracy, with coefficient of determination values of 98.66 % and 99.11 %, respectively. Optimization results revealed that a temperature of 79.1 °C, a pressure of 200 kPa, and anode and cathode inlet flow rates of 5 L per minute yielded a maximum power density of 1.71 W cm<ce:sup loc=\"post\">−2</ce:sup>. Furthermore, the innovative thermal management solution using phase change materials with insulation extended the operating temperature range duration to 6.43 h at 25 °C ambient, nearly 5 times longer than using insulation alone. Additionally, in cold environments at −20 °C, this approach increased the operating temperature range and above freezing point duration by 3.5 and 2.7 times, respectively. These findings contribute to the advancement of fuel cell technology by improving performance and thermal management strategies.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"26 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888362","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}
Kai Liu, Ding Chen, Pan Liang, Xuehao Yao, Zhicheng Deng, Kailong Xu, Yuyan Xin, Dan Huang
{"title":"SPH modeling and experimental validation on power performance and dynamic response of a novel swing-wing wave energy converter","authors":"Kai Liu, Ding Chen, Pan Liang, Xuehao Yao, Zhicheng Deng, Kailong Xu, Yuyan Xin, Dan Huang","doi":"10.1016/j.enconman.2024.119420","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119420","url":null,"abstract":"Considering the problems of limited endurance and small working radius brought by traditional battery-powered marine unmanned vehicles. A concept of swing-wing wave energy converter (SW-WEC) is proposed to efficiently convert wave energy into mechanical energy and subsequently into electricity. Accurately analyzing the dynamic response of SW-WEC is crucial for predicting power performance but is challenging with traditional numerical methods. This paper establishes a fluid–structure coupling dynamic model of a full-size SW-WEC by combining the smoothed particle hydrodynamics (SPH) method and Chrono-Engine. The study focuses on evaluating the accuracy of SPH method in predicting dynamic response and power performance of the SW-WEC, both experimental and numerical studies are conducted to investigate SW-WEC’s interaction with waves. The SPH numerical model can accurately simulate the motion response of SW-WEC under wave action and shows good agreement with experimental results. This result shows the potential of SPH method in simulating large motion of such three-body wave energy devices, although it is computationally heavy. Furthermore, we investigate the influence of wave height, period, and Power Take-Off (PTO) damping on power performance. The results indicate that power performance improves as wave height increases but diminishes as wave period increases. The maximum generating power of SW-WEC exceeding 12 W, and the maximum capture width ratio (CWR) surpassing 0.08. There is an optimal PTO damping for achieving the best power performance, which varies under different wave conditions. This work provides a novel and effective modeling and analysis method for the SW-WEC and offers guidance for its structural optimization.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"33 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888363","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}