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651.
以17万m^3液化天然气(Liquefied Natural Gas,LNG)运输船为母型船,选取LM2500燃气轮机为主动力装置,联合蒸汽轮机和2台W?rtsil?12V34DF双燃料柴油机,设计出一套燃-蒸-柴联合循环动力系统。利用Aspen HYSYS软件模拟系统流程,经模拟与分析计算,该系统的设计方案合理可行,并得出燃气轮机负荷下的燃气轮机发电效率及其输出效率、燃蒸联合发电效率及其系统输出效率,各系统参数随燃气轮机负荷的增大呈现不同幅度的增大。将该系统的系统输出效率与柴油机的动力系统输出效率进行对比分析,结果表明:在理想工况下,两种系统的系统输出效率相当;在定速工况下,该系统的系统输出效率与柴油机的系统输出效率相比略低,而燃气轮机的NOx、SOx排放量较小,满足新公约要求。因此,该系统有很好的船舶实际应用价值。 相似文献
652.
本文以液化天然气(LNG)动力船供气系统的工作流程为原型,讨论发动机在工况变化时如何设置控制方案,以达到更好的温度控制效果,满足双燃料发动机的工作需求。使用Aspen HYSYS流程模拟软件对该工作流程进行模拟,研究动态模拟时系统的运行情况。针对供气时的工况变化,改变液化天然气的流量,同时供气温度需要稳定在一定范围内,提出两种维持供气温度相对稳定的调节方案:改变热源的供热量或调节加热介质(水乙二醇)的流量,在HYSYS中分别进行动态模拟。改变热水流量时,输气温度可以控制在20℃-32℃;改变水乙二醇流量时,输气温度控制在22℃-28℃。两种调控方式结合的综合方案中,天然气温度也较好稳定在22℃-28℃之间,并且不需要引入其他外加冷源,响应较快,最适合应用于实际系统中。 相似文献
653.
海岸工程的允许越浪量 总被引:2,自引:1,他引:1
对于防护海岸陆地的护岸和海堤等,通常并不要求其顶高程在高潮大浪时完全不越浪,而是要求将其越浪量控制在一定的允许范围(允许越浪量)内。为此设计时要计算各式建筑物在不同波浪作用下的越浪量,还要制定允许越浪量的标准。根据国内外对海岸工程的两种允许越浪量的研究,综述已有允许越浪量的主要研究成果,可供工程设计参考。 相似文献
654.
新造船能效设计指数介绍及分析 总被引:2,自引:2,他引:0
二氧化碳排放一直是航运界关心和关注的焦点,国际海事组织IMO第57届环境与保护委员会MEPC57、MEPC58、MEPC59次会议以及温室气体工作组第二次会议上对此都进行了激烈的讨论.根据所收集到的资料,对新造船能效设计指数EEDI(原:新造船CO_2指数)进行了分析和研究,并对减少二氧化碳排放可采取的措施进行了探讨. 相似文献
655.
656.
电喷汽油机燃用甲醇-汽油混合燃料的性能 总被引:7,自引:3,他引:4
为了研究不同体积分数的甲醇-汽油混合燃料对多点电喷汽油机性能和排放的影响,通过发动机台架试验,对比分析了发动机的动力性、经济性及排放特性,并用气相色谱分析仪测量了目前法规尚未限制的甲醇和甲醛排放,探讨其排放特性及生成机理。实验结果表明:在外特性工况运行时,甲醇-汽油混合燃料发动机的输出功率在高转速时略高于汽油机,有效燃料消耗率比汽油机低,有效热效率比汽油机高;在负荷特性工况运行时,混合燃料发动机的有效燃料消耗率和有效热效率与汽油机基本相当;随着混合燃料中甲醇体积分数的增加,CO排放有所降低,NOx排放几乎保持不变,THC排放在大负荷时略有升高;混合燃料发动机的甲醛排放明显高于汽油机,并且随甲醇体积分数的增加而增大,而甲醇排放低于汽油机。 相似文献
657.
本文将模糊模式识别应用于交通规划预测模型的评价.以出行受约束的重力模型与双约束重力模型为例,说明常用的一些检测方法存在的不严密性,并用模糊模式识别方法定量确定预测结果与实际出行量的拟合程度.本文的分析结果能为交通规划预测模型的选择提供可靠的依据,并为预测结果的评价提供新的方法. 相似文献
658.
气相色谱法分析六氟化钨中的杂质 总被引:1,自引:0,他引:1
利用气相色谱法,分析六氟化钨中微量气体杂质的含量.由于六氟化钨有很强的腐蚀性,在对其进行分析时,要对气相色谱仪进行改造.本文设计了一个反吹双通路分析系统,在六氟化钨中的气相杂质进入检测器后,可以及时将六氟化钨反吹出去,从而既可保证分析的准确性,又可避免六氟化钨对仪器的腐蚀.此外,本实验还结合仪器以及被测样品本身的性质,通过正交实验确定了气相色谱仪的最佳操作参数.在此基础上,利用一系列标准气体,确定了采用不同的色谱柱进行分析时,仪器最佳的反吹时间,从而保证分析的准确性和安全性.最终可以准确地对六氟化钨中的四氟化碳、二氧化碳、六氟化硫、氧气、氮气和一氧化碳等痕量的气体杂质进行分析,确定了对六氟化钨中气体杂质的分析方法. 相似文献
659.
660.
Erika Spissu Abdul Rawoof Pinjari Ram M. Pendyala Chandra R. Bhat 《Transportation》2009,36(4):403-422
In this paper, a joint model of vehicle type choice and utilization is formulated and estimated on a data set of vehicles
drawn from the 2000 San Francisco Bay Area Travel Survey. The joint discrete–continuous model system formulated in this study
explicitly accounts for common unobserved factors that may affect the choice and utilization of a certain vehicle type (i.e.,
self-selection effects). A new copula-based methodology is adopted to facilitate model estimation without imposing restrictive
distribution assumptions on the dependency structures between the errors in the discrete and continuous choice components.
The copula-based methodology is found to provide statistically superior goodness-of-fit when compared with previous estimation
approaches for joint discrete–continuous model systems. The model system, when applied to simulate the impacts of a doubling
in fuel price, shows that individuals are more likely to shift vehicle type choices than vehicle usage patterns.
Erika Spissu is currently a Research Fellow at the University of Cagliari (Italy). She received her Ph.D. from the University of Palermo and University of Cagliari (Italy) in Transport techniques and economics. She spent the past 2 years at The University of Texas at Austin as a Research Scholar focusing primarily in activity-based travel behavior modeling, time use analysis, and travel demand forecasting. Abdul Pinjari is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of South Florida, Tampa. His research interests include time-use and travel-behavior analysis, and activity-based approaches to travel-demand forecasting. He has his Ph.D. from The University of Texas at Austin. Ram M. Pendyala is a Professor of Transportation Systems in the Department of Civil, Environmental, and Sustainable Engineering at Arizona State University. He teaches and conducts research in travel behavior analysis, travel demand modeling and forecasting, activity-based microsimulation approaches, and time use. He specializes in integrated land use-transport models, transport policy formulation, and public transit planning and design. He is currently the Vice-Chair of the International Association for Travel Behavior Research and is the immediate past chair of the Transportation Research Board Committee on Traveler Behavior and Values. He has his PhD from the University of California at Davis. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献
Chandra R. Bhat (Corresponding author)Email: |
Erika Spissu is currently a Research Fellow at the University of Cagliari (Italy). She received her Ph.D. from the University of Palermo and University of Cagliari (Italy) in Transport techniques and economics. She spent the past 2 years at The University of Texas at Austin as a Research Scholar focusing primarily in activity-based travel behavior modeling, time use analysis, and travel demand forecasting. Abdul Pinjari is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of South Florida, Tampa. His research interests include time-use and travel-behavior analysis, and activity-based approaches to travel-demand forecasting. He has his Ph.D. from The University of Texas at Austin. Ram M. Pendyala is a Professor of Transportation Systems in the Department of Civil, Environmental, and Sustainable Engineering at Arizona State University. He teaches and conducts research in travel behavior analysis, travel demand modeling and forecasting, activity-based microsimulation approaches, and time use. He specializes in integrated land use-transport models, transport policy formulation, and public transit planning and design. He is currently the Vice-Chair of the International Association for Travel Behavior Research and is the immediate past chair of the Transportation Research Board Committee on Traveler Behavior and Values. He has his PhD from the University of California at Davis. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献