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外海潮流能总成平台施工关键技术研究及应用

中国港湾建设 2024年第6期44卷 67-71,90页

作者：高小荣徐少东金崇强中交第三航务工程局有限公司宁波分公司浙江宁波315200

潮流能作为可再生清洁能源的一种,有储量大、变化有规律、对环境影响小等优势,且潮流能发电装置更容易实现独立发电和并网,是海洋能发电方式的首选。我国在潮流能转换与发电系统的设计与关键施工技术方面取得了长足进步,尤其大力开发清... 详细信息

潮流能作为可再生清洁能源的一种,有储量大、变化有规律、对环境影响小等优势,且潮流能发电装置更容易实现独立发电和并网,是海洋能发电方式的首选。我国在潮流能转换与发电系统的设计与关键施工技术方面取得了长足进步,尤其大力开发清洁新能源的提出,给海上潮流能的关键施工技术带来了巨大的机遇与挑战。而大型潮流能发电机组总成平台的顺利施工与否是实现潮流能发电的关键与前提。针对大型海洋潮流能发电机组总成平台外海运输系泊条件复杂、平台自浮困难等问题,采用多点系缆配合、增设临时浮箱等方法,实现大型海洋潮流能发电机组总成平台顺利安装,为今后类似工程施工提供借鉴。

关键词：潮流能总成平台临时浮箱辅助系泊

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雄安新区三维地热地质模型方法研究

地质与资源 2024年第2期33卷 222-229,236页

作者：李红岩高小荣任小庆孙彩霞卢星辰许勇中石化绿源地热能开发有限公司河北保定071800 中国石化集团新星石油有限责任公司北京100083 西安交通大学能源与动力工程学院陕西西安710049 陕西省“四主体一联合”地热能校企联合研究中心陕西咸阳712000

根据区域地质资料、钻井地层数据、测井资料,分别对雄安新区构造进行网格化并建立构造模型,应用层序地层学原理厘定等时界面及地层框架,选取建模参数,建立沉积相三维模型.采用相控条件下的序贯高斯模拟算法,建立孔隙度、渗透率模型.根... 详细信息

根据区域地质资料、钻井地层数据、测井资料,分别对雄安新区构造进行网格化并建立构造模型,应用层序地层学原理厘定等时界面及地层框架,选取建模参数,建立沉积相三维模型.采用相控条件下的序贯高斯模拟算法,建立孔隙度、渗透率模型.根据实测,得出区域内盖层、储层、基岩的岩石热导率,并建立雾迷山组温度场模型.最后采用物性参数展布对比、概率模型一致性、拟合三方面对地质模型进行验证,结果表明,此地质模型的孔隙度、渗透率概率分布特征与测井解释曲线数据和初始化数据基本一致,说明该模型与地质认识吻合度超过90%,所建地质模型合理.

关键词：地热模型雾迷山组地热能雄安新区

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Study on the geothermal production and reinjection mode in Xiong County

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Journal of Groundwater Science and Engineering 2018年第3期6卷 178-186页

作者： WANG Shu-fang LIU Jiu-rong SUN Ying LIU Shi-liang gao xiao-rong SUN Cai-xia LI Hai-kui Beijing Institute of Hydrogeology and Engineering Geology Beijing 100195China SINOPEC Star Co.Ltd. Beijing 100083China SINOPEC Green Energy Geothermal Development Co. Ltd.Xiong County 071800China

The large karst geothermal field of Xiong County,which is located to the south of geothermal field in Niutuozhen,features huge geothermal resources and favorable condition for development and *** of the long-term extensive production,the pressure of geothermal reservoir continues to decline and some geothermal wells even face the danger of *** relieve the fall in pressure of geothermal reservoir and achieve the sustainable development and utilization of geothermal field in the long run,reinjection experiment is conducted in the geothermal field of Xiong County and a three-dimensional hydrothermal coupled numerical model was *** reinjection experiment showed that the mode of one production well and one reinjection well can be achieved in this geothermal *** numerical simulation is used to forecast and compare the change in pressure field and temperature field under different production and reinjection modes and concludes that the most opotimized production and utilization mode is the concentrated production-reinjection mode,and the most opotimized production-reinjection combination mode is the shallow production and shallow reinjection mode which can ensure the sustainable development and utilization of geothermal resources in the long run.

关键词： Geothermal Karst geothermal reservoir Reinjection Numerical simulation

Gain Improvement of Fiber Parametric Amplifier via the Introduction of Standard Single-Mode Fiber for Phase Matching

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Chinese Physics Letters 2013年第7期30卷 96-98页

作者： ZHU Hong-Na LUO Bin PAN Wei YAN Lian-Shan ZHAO Jian-Peng WANG Ze-Yong gao xiao-rong School of Physical Science and Technology Southwest Jiaotong UniversityChengdu 610031 Center for Information Photonics and Communications Southwest Jiaotong UniversityChengdu 610031

We investigate and experimentally demonstrate the gain improvement of single-pump fiber parametric amplifiers by using a suitable length of standard single-mode fiber(SSMF)inserted between two high-nonlinear fibers(HNLFs).The SSMF with different dispersion properties from the HNLF is employed for phase matching of the parametric processes,and the signal gain is improved as compared with the absence of the SSMF with experiment ***,the effect of the input pump power and the fiber length of the SSMF on the output signal gain are discussed with experimental investigation.

关键词： fiber pump SSM

Species’ geographical range, environmental range and traits lead to specimen collection preference of dominant plant species of grasslands in Northern China

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Plant Diversity 2024年第3期46卷 353-361页

作者： Jingya Zhang Cui xiao xiaoyu Duan Xin gao Hao Zeng rong'an Dong Gang Feng Keping Ma Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau&Inner Mongolia Key Laboratory of Grassland Ecology School of Ecology and EnvironmentInner Mongolia UniversityHohhot 010021China State Key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing 100093China

Many different factors,such as species traits,socio-economic factors,geographical and environmental factors,can lead to specimen collection *** study aims to determine whether grassland specimen collection in China is preferred by species traits(i.e.,plant height,flowering and fruiting period),environmental range(i.e.,the temperature and precipitation range)and geographical range(i.e.,distribution range and altitudinal range).Ordinary least squares models and phylogenetic generalized linear mixed models were used to analyze the relationships between specimen number and the explanatory *** Forest models were then used to find the most parsimonious multivariate *** results showed that interannual variation in specimen number between 1900 and 2020 was *** number of these species in southeast China was notably lower than that in northwest *** range and geographical range of species had significant positive correlations with specimen *** addition,there were relatively weak but significant associations between specimen number and species trait(i.e.,plant height and flowering and fruiting period).Random Forest models indicated that distribution range was the most important variable,followed by flowering and fruiting period,and altitudinal *** findings suggest that future floristic surveys should pay more attention to species with small geographical range,narrow environmental range,short plant height,and short flowering and fruiting *** correction of specimen collection preference will also make the results of species distribution model,species evolution and other works based on specimen data more accurate.

关键词： Biological specimen Collection preference Dominant plant species Environmental range Geographical range Species traits

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Surgically treating a rare and asymptomatic intraductal papillary neoplasm of the bile duct:A case report

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World Journal of Clinical Cases 2024年第2期12卷 367-373页

作者： Shen-Zhen Zhu Zhao-Feng gao xiao-rong Liu xiao-Guang Wang Fei Chen Department of General Surgery Jiaxing Second HospitalJiaxing 314000Zhejiang ProvinceChina Department of Hepatobiliary Surgery Jiaxing Second HospitalJiaxing 314000Zhejiang ProvinceChina

BACKGROUND Intraductal papillary neoplasms of the bile duct(IPNBs)are rare and characterized by papillary growth within the bile duct *** is similar to obstructive biliary *** this report,we present an unexpected case of asymptomatic IPNB and consolidate our findings with the relevant literature to augment our understanding of this *** relevant literature contributes to a more comprehensive understanding of the *** SUMMARY A 66-year-old Chinese male patient was admitted to our hospital for surgical intervention after gallstones were discovered during a routine physical *** imaging revealed a lesion on the left side of the liver,which raised the suspicion of IPNB.A laparoscopic left hemihepatectomy was performed,and subsequent histopathological examination confirmed the diagnosis of *** the 3-mo postoperative follow-up,the patient reported good recovery and no *** can manifest both latently and *** surgical resection is the most effective treatment for *** Hepatic and biliary masses,should be considered to diagnose *** surgery and vigilant follow-up are crucial in determining prognosis.

关键词： Intraductal papillary neoplasm of the bile duct Tumor Surgical treatment Prognosis Case report

APFA:Ameliorated Pathfinder Algorithm for Engineering Applications

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Journal of Bionic Engineering 2024年第3期21卷 1592-1616页

作者： Keyu Zhong Fen xiao Xieping gao Key Laboratory of Computing and Stochastic Mathematics of Ministry of Education Hunan Normal UniversityChangsha410081China School of Mathematics and Statistics Hunan Normal UniversityChangsha410081China School of Computer Science Xiangtan UniversityXiangtan411105China Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Hunan Normal UniversityChangsha410081China

Pathfinder algorithm(PFA)is a swarm intelligent optimization algorithm inspired by the collective activity behavior of swarm animals,imitating the leader in the population to guide followers in finding the best food *** algorithm has the characteristics of a simple structure and high ***,PFA faces challenges such as insufficient population diversity and susceptibility to local optima due to its inability to effectively balance the exploration and exploitation *** paper proposes an Ameliorated Pathfinder Algorithm called APFA to solve complex engineering optimization ***,a guidance mechanism based on multiple elite individuals is presented to enhance the global search capability of the ***,to improve the exploration efficiency of the algorithm,the Logistic chaos mapping is introduced to help the algorithm find more high-quality potential solutions while avoiding the worst ***,a comprehensive following strategy is designed to avoid the algorithm falling into local optima and further improve the convergence *** three strategies achieve an effective balance between exploration and exploitation overall,thus improving the optimization performance of the *** performance evaluation,APFA is validated by the CEC2022 benchmark test set and five engineering optimization problems,and compared with the state-of-the-art metaheuristic *** numerical experimental results demonstrated the superiority of APFA.

关键词： Pathfinder algorithm Swarm intelligent Metaheuristic Engineering problems

An Efficient Multi-objective Approach Based on Golden Jackal Search for Dynamic Economic Emission Dispatch

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Journal of Bionic Engineering 2024年第3期21卷 1541-1566页

Dynamic Economic Emission Dispatch(DEED)aims to optimize control over fuel cost and pollution emission,two conflicting objectives,by scheduling the output power of various units at specific *** many methods well-performed on the DEED problem,most of them fail to achieve expected results in practice due to a lack of effective trade-off mechanisms between the convergence and diversity of non-dominated optimal dispatching *** address this issue,a new multi-objective solver called Multi-Objective Golden Jackal Optimization(MOGJO)algorithm is proposed to cope with the DEED *** proposed algorithm first stores non-dominated optimal solutions found so far into an ***,it chooses the best dispatching solution from the archive as the leader through a selection mechanism designed based on elite selection strategy and Euclidean distance index *** mechanism can guide the algorithm to search for better dispatching solutions in the direction of reducing fuel costs and pollutant ***,the basic golden jackal optimization algorithm has the drawback of insufficient search,which hinders its ability to effectively discover more Pareto *** this end,a non-linear control parameter based on the cosine function is introduced to enhance global exploration of the dispatching space,thus improving the efficiency of finding the optimal dispatching *** proposed MOGJO is evaluated on the latest CEC benchmark test functions,and its superiority over the state-of-the-art multi-objective optimizers is highlighted by performance ***,empirical results on 5-unit,10-unit,IEEE 30-bus,and 30-unit systems show that the MOGJO can provide competitive compromise scheduling solutions compared to published DEED ***,in the analysis of the Pareto dominance relationship and the Euclidean distance index,the optimal dispatching solutions provided by MOGJO are the closest to the ideal solutions for minimizing fuel costs

关键词： Dynamic economic emission dispatch Multi-objective optimization Golden jackal Euclidean distance index

Energy-efficient buffer and service rate allocation in manufacturing systems using hybrid machine learning and evolutionary algorithms

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Advances in Manufacturing 2024年第2期12卷 227-251页

作者： Si-xiao gao Hui Liu Jun Ota Key Laboratory of Traffic Safety on Track of Ministry of Education Institute of Artificial Intelligence and Robotics(IAIR)School of Traffic and Transportation EngineeringCentral South UniversityChangsha410075People’s Republic of China Research into Artifacts Center for Engineering School of EngineeringThe University of TokyoTokyoJapan

Currently,simultaneous buffer and service rate allocation is a topic of interest in the optimization of manufacturing *** allocation problems have been solved previously to satisfy economic requirements;however,owing to the progress of green manufacturing,energy conservation and environmental protection have become increasingly ***,an energy-efficient approach is developed to maximize the throughput and minimize the energy consumption of manufacturing systems,subject to the total buffer capacity,total service rate,and predefined energy *** energy-efficient approach integrates the simulated annealing-non-dominated sorting genetic algorithm-II with the honey badger algorithm-histogram-based gradient boosting regression *** former algorithm searches for Pareto-optimal solutions of sufficient *** latter algorithm builds prediction models to rapidly calculate the throughput,energy consumption,and energy *** examples show that the proposed hybrid approach can achieve a better solution quality compared with previously reported ***,the prediction models can rapidly evaluate manufacturing systems with sufficient *** study benefits the multi-objective optimization of green manufacturing systems.

关键词： Energy-efficient allocation Multi-objective optimization Energy efficiency Energy consumption Machine learning