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中文题名:

 考虑通航环境要素的内河船舶营运能效研究     

姓名:

 孙星    

学号:

 10497111196    

保密级别:

 公开    

论文语种:

 chi    

学科代码:

 082402    

学科名称:

 轮机工程    

学生类型:

 博士    

学位:

 工学博士    

学校:

 武汉理工大学    

获奖论文:

 校优秀博士学位论文    

院系:

 能源与动力工程学院    

专业:

 轮机工程    

研究方向:

 内燃机性能优化与排放控制    

第一导师姓名:

 严新平    

第一导师院系:

 武汉理工大学    

完成日期:

 2015-05-01    

答辩日期:

 2015-05-23    

中文关键词:

 

温室气体 ; 内河船舶 ; 营运能效 ; 通航环境 ; 节能减排

    

中文摘要:

随着航运业的迅速发展,船舶温室气体减排越来越引起世界各国的重视。近年来,船舶节能减排的研究主要集中于新造船舶,包括新能源的利用、节能装置与型线优化等方面,对于数量庞大的在航船舶,主要通过营运优化措施,利用能效管理手段降低船舶的能耗,以提高船舶的营运能效,这些方面的理论研究和工程实践具有重要的研究意义和实用价值。

根据IMO相关规则,国际航行船舶营运能效水平利用EEOI指数进行评价。EEOI为监测船舶温室气体排放、评价船舶能效提供了重要的参考依据,这种方法对内河船舶同样具有重要的参考意义。文中以EEOI为切入点,以内河船舶为研究对象,考虑通航环境要素对内河船舶营运能效的影响,分析了内河船舶营运能效水平,建立了内河船舶的营运能效模型,并基于此研究了船舶的排放状况,提出了营运能效提升策略。具体的研究内容和创新包括以下几点:

(1) 在分析内河船舶的船-机-桨特性和内河通航环境要素的基础上,开展了船舶营运能效数据采集系统的设计、设备选型与实船安装,构建了内河船舶的营运能效数据采集系统。

(2) 基于船舶能效数据库开展了数据分析,包括通航环境的基本特征、船-机-桨工作特性,以及内河船舶营运能效水平,数据分析表明了在内河船舶的营运能效问题的研究中,考虑通航环境要素的必要性。

(3) 基于BP人工神经网络,建立了营运能效预测模型。验证结果表明:该模型不仅可以反映特定船舶工况与通航环境下的船舶能效水平映射关系,而且能够预测新的环境条件输入下的能效水平。并基于所构建的神经网络层间的连接权重,进行了EEOI对环境特征输入参数的敏感性分析。

(4) 根据主要因素相互作用关系,通过基本理论推导得到表示与营运能效各有关变量之间的物理数学关系,建立了船舶营运能效机理模型,主要包括船舶阻力(包括静水阻力与通航环境要素引起的附加阻力)、螺旋桨、船舶运动与主推进装置等子模块。

(5) 对2种方法建立的模型进行了对比与分析。两种模型仿真结果与实测数据的对比表明,这2种模型都能够反应出通航环境影响下的内河船舶营运能效规律,并讨论了内河船舶营运能效模型在船舶排放和能效提升方面的应用。

参考文献:

[1] Marine Environment Protection Committee. Prevention of air pollution from ships (Second IMO GHG Study 2009)[R]. London:Marine Environment Protection Committee,2009.

[2] Marine Environment Protection Committee. Report of the Marine Environment Protection Committee on Its Sixty-Second Session [R]. London:Marine Environment Protection Committee,2011.

[3] 林红梅. 中国内河高等级航道和主要港口将遍及20个省区市[EB/OL]. (2007-06-26)

[2014-08-01]. http://news.xinhuanet.com/politics/2007-06/26/content_6293887.htm

[4] 交通运输部.十二五”水运节能减排总体推进实施方案[R]. 北京:交通运输部,2011.

[5] Corbett J J,Fischbeck P S. Emissions from ships [J]. Science,1997,278:823-824.

[6] Eyring V,Kohler H W,van Aardenne J. et al. Emissions from international shipping: 1.The last 50 years [J]. Journal of Geophysical Research,2006,110(D17):1-12.

[7] Eyring V,Ivar S A,Isaksen,et al. Transport impacts on atmosphere and climate: Shipping [J]. Atmospheric Environment,2010,44(37):4735-4771.

[8] Corbett J J,Kohler H W. Updated emissions from ocean shipping [J]. Journal of Geophysical Research,2003,108(D20):4650-4666.

[9] Endresen ?,Bakke J,S?rgard E,et al. Improved modeling of ship SO2 emissions-fuel based approach [J]. Atmospheric Environment,2005,39(20):3621-3628.

[10] Corbett J J,Fishbeck P S,Pandis S N. Global nitrogen and sulfur emissions inventories for ocean going ships [J]. Journal of Geophysical Research,1999,104(D3):3457-3470.

[11] Liesbeth S,Ina D V,Luc I P,et al. Inventory and forecasting of maritime emissions in the Belgian sea territory,an activity-based emission model [J]. Atmospheric Environment, 2008,42(4):667-676.

[12] Jalkanen J P,Brink A,Kalli J,et al. A modeling system for the exhaust emissions of marine traffic and its application in the Baltic Sea area [J]. Atmospheric Chemistry and Physics,2009(9):9209-9223.

[13] Corbett J J. Emissions from ships in the northwestern United States [J]. Environment Science Technology,2002,36(6):1299-1306.

[14] Liesbeth S,Ina D V,Luc I P,et al. Emissions of maritime transport: A European reference system [J]. Science of the Total Environment,2009(2):318-323.

[15] Warren B. Fitzgerald,Oliver J A,et al. Green house gas emissions from the international maritime transport of New Zealand’s imports and exports [J]. Energy Policy,2011,39(3):1521-1531.

[16] Satish V,Donald D. Modeling the effects of ship emissions on coastal air quality: A case study of southern California [J]. Atmospheric Environment,2008,42(16):3751-3764.

[17] Francesca M,Karl B,Hsiaotao T B,et al. An environmental impact assessment of exported wood pellets from Canada to Europe [J]. Biomass and Bioenergy,2009,33(3):434-441.

[18] Safa M,Samarasinghe S,Mohssen M. Determination of fuel consumption and indirect factors affecting it in wheat production in Canterbury,New Zealand [J]. Energy,2010,35(12):5400-5405.

[19] Winther M. New national emission inventory for navigation in Denmark [J]. Atmospheric Environment,2008,42(19):4632-4655.

[20] 刘静,王静,宋传真,等. 青岛市港口船舶大气污染排放清单的建立及应用[J]. 中国环境监测,2011,27(3):50-53.

[21] Du Yuquan,Chen Qiushuang,Quan Xiongwen,et al. Berth allocation considering fuel consumption and vessel emissions [J]. Transportation Research Part E,2011,47(6):1021-1037.

[22] Wang F F,Bao H P,Kiernan T. Emission inventory assessment for a container vessel [C]. IEEE International Symposium on Sustainable Systems and Technology. Phoenix,USA. 2009:103-121.

[23] Lindstad H,Asbj?rnslett B E,Str?mman A H. Reductions in green house gas emissions and cost by shipping at lower speeds [J]. Energy Policy,2011,39(6):3456-3464.

[24] Cooper D A. Exhaust emissions from high speed passenger ferries [J]. Atmospheric Environment,2001,35(24):4189-4200.

[25] Georgakaki A,Coffey R A,Lock G,et al. Transport and environment database system (TRENDS): Maritime air pollutant emission modeling [J]. Atmospheric Environment,2005,39(13):2357-2365.

[26] Borkowski T,Kasyk L,Kowalak P. Assessment of ship’s engine effective power fuel consumption and emission using the vessel speed [J]. Journal of KONES Powertrain and Transport,2011,18(2):31-39.

[27] Insel M. Uncertainty in the analysis of speed and powering trials [J]. Ocean Engineering,2008,35(11/12):1183-1193.

[28] Hulskotte,J H J,Denier H A C. Fuel consumption and associated emissions from seagoing ships at berth derived from an on-board survey [J]. Atmospheric Environment,2010,44(9):1229-1236.

[29] 郑元康. 航行中船舶轴功率和燃油耗率估算方法[J]. 内燃机学报,1996,14(2):175-187.

[30] Tsujimoto M,Tanizawa K. Development of a weather adaptive navigation system considering Ship performance in actual seas [C]. 25th International Conference on Offshore Mechanics and Arctic Engineering. Hamburg,Germany,2006.04:413-421.

[31] Shi W. Simulation of the influence of ship voyage profiles on exhaust emissions[C]. 2008 ASME International Mechanical Engineering Congress and Exposition,Boston,Massachusetts,USA. 2008.

[32] Leifsson L P,Savarsdóttir H,Siguresson S P,et al. Grey-box modeling of an ocean vessel for operational optimization [J]. Simulation Modelling Practice and Theory,2008,16:923-932.

[33] Holtrop J,Mennen G G J,An approximate power prediction method [J]. International Shipbuilding Progress,1982,29:166-170.

[34] Holtrop J. A statistical re-analysis of resistance and propulsion data [J]. International Shipbuilding Progress,1984,31:272-276.

[35] Shi W,Grimmelius H. Comparison of modeling techniques for simulation of fuel consumption of dredgers[C]. 9th international conference on computer and IT application in the maritime industries,Gubbio,Italy,2010:382-395.

[36] 杨国豪,徐轶群,林荣模. 基于模糊评判的船舶能耗评估[J]. 中国航海,2011,34(4):22-25,50.

[37] 应业炬. 船舶快速性[M]. 北京:人民交通出版社,2007.

[38] 黄广茂. 方形系数对双桨大长宽比超肥大船阻力性能的影响[J]. 中国造船,2010,51(4):58-65.

[39] Perez T,Fossen T I. Kinematic models for manoeuvring and seakeeping of marine vessels [J]. Modeling,Identification and Control,2007,28(1):19-30.

[40] 闵波,罗薇,刘超. 中小型普通船舶有效功率计算[J]. 交通科技,2006(6):111-113.

[41] 李一兵. 内河船舶航行阻力计算方法讨论[J]. 水道港口,2002,23(1):7-11

[42] 童思陈,许光祥,邓明文. 内河船舶航行阻力及通航水力指标计算[J]. 水利水运工程学报,2010(2):100-106.

[43] 陈爱国,叶家玮. 船舶表面状况对船舶性能的影响及其应对措施[J]. 船海工程,2008,37(2):36-39.

[44] 贾欣乐,杨盐生. 船舶运动数学模型-机理建模与辨识建模[M]. 大连:大连海事大学出版社,1999.

[45] 王仲儒. 考虑航速影响的船舶运动建模与航向控制仿真[D]. 大连:大连海事大学,2009.

[46] 张润涛. 船舶风流压差的仿真研究[D]. 大连:大连海事大学,2008.

[47] 李修强. 船舶运动建模与特性仿真研究[D]. 武汉:武汉理工大学,2010.

[48] Diao L J,Liu Z G,Shen M S,et al. A novel simulation system of marine propeller load characteristics [C]. The7th International Power Engineering Conference,Singapore,2005:1147-1152.

[49] Lin,R Q,Kuang W J. Modeling nonlinear roll damping with a self-consistent,strongly nonlinear ship motion model [J]. Journal of Marine Science and Technology,2008,13(2):127-137.

[50] Kijima K. Prediction method for ship manoeuvring motion in the proximity of a pier [J]. Ship Technology Research,1997,44(1):22-31.

[51] Jakobsen,Mazurkiewiez B K,Ankudinov J V. Improved ship maneuvering assessment based on integration of advanced modeling technique [C]. International Workshop on Ship Maneuverability at the Hamburg Ship Model Basin,Hamburg Germany,2000.

[52] Benvenuto G,Brizzolara S,Figari M. Simulation of the propulsion system behavior during ship standard maneuvers [C]. Practical Design of Ships and Other Floating Structures,Shanghai,China,2001.

[53] Journée J M J,Meijers J H C. Ship routeing for optimum performance [J]. Transactions IME,1980,21(2):1-21

[54] 刘学功,宋振海,张宏凯. 船舶推进中两种动态平衡的研究[J]. 舰船科学技术,2010,32(4):32-34.

[55] Ghaemi H. Changing the ship propulsion system performances induced by variation in reaction degree of turbocharger turbine [J]. Journal of Polish CIMAC,2011,6(1):1-16

[56] Kulczyk J,Skupień E. Effect of propulsion system parameters on fuel consumption by inland vessel [J]. Journal of Shipping and Ocean Engineering,2012(2):107-114.

[57] Kulczyk J,Sradomski W,Tabaczek T. Optimization of inland vessel multi-propeller propulsion system operating parameters [C]. International Conference “Computer Systems Aided Science,Industry and Transport,Zakopane,Poland,2006.

[58] Simi? A,Radoj?i? D. On energy efficiency of inland waterway self-propelled cargo vessels [J]. FME Transactions,2013,41:138-145.

[59] Pivano L,?yvind N,Smogeli,et al. Experimental validation of a marine propeller thrust estimation scheme [J]. Modeling,Identi?cation and Control,2007,28(4):105-112.

[60] Hellstr?m T. Optimal pitch,speed and fuel control at sea [J]. Journal of Marine Science and Technology,2004,12(2):71-77.

[61] Lindegaard K P,Kongsberg S A S,Billingstad. Fuel-efficient rudder and propeller control allocation for marine craft:experiments with a model ship [J]. IEEE Transactions on Control Systems Technology,2003,11(6):850-862.

[62] Heising C,Staudt V,Steimel A. Optimized energy-efficient drive system for ship propulsion [C]. Electric Ship Technologies Symposium,Philadelphia,USA,2011:292-295.

[63] Hetharia W R,Hage A,Rigo P. Preliminary study of medium-speed monohull passenger ferries [C]. International Conference on Technologies,Operations,Logistics and Modeling for Low Carbon Shipping. Glasgow,UK,2011:187-191.

[64] Vrijdag A,Stapersma D,van Terwisga T. Systematic modeling,verification,calibration and validation of a ship propulsion simulation model [J]. Journal of Marine Engineering and Technolog,2009,A15:3-20.

[65] 孙建波,郭晨,张旭,于洪亮. 大型船舶动力装置的建模与仿真研究[J]. 系统仿真学报,2007,19(3):465-469.

[66] 孙建辉,王海燕. 基于MATLAB/SIMULINK的船机桨建模与仿真[J]. 齐齐哈尔大学学报,2012,28(3):35-39.

[67] 封培元,马宁,顾解忡. 基于船机桨匹配和波浪统计的船舶失速系数分析[J]. 上海交通大学学报,2012,46(8):1248-1253.

[68] 严新平,李志雄,袁成清,等. 考虑船体变形耦合作用的船舶推进系统建模与控制[J]. 船海工程,2011,40(1):60-64.

[69] Moataz A. Generalized engine systems modeling,methodology and validation [D]. Wisconsin,USA:University of Wisconsin,2003.

[70] Kamei E,Namba H,Osaki K,et al. Application of reduced order model to automotive engine control system [J]. ASME Journal of Dynamic Systems,Measurement and Control,1987,109(3):232-237.

[71] 张显库,贾欣乐,毕英君,等. 鲁棒PID算法在船舶柴油机控制中的应用[J].自动化与仪器仪表,2001(2):8-10.

[72] 甘霏斐,肖民,姚寿广. 柴油机动态调速过程的仿真分析[J]. 华东船舶工业学院学报:自然科学版,2004,18(2):76-80.

[73] Kuang B,Wang Y,Tan Y L. An H∞ Controller design for diesel engine systems [C]. International Conference on Power System Technology. Perth,Australia,2000:61-66.

[74] Zhan Y L,Wan B Y,Wang X Z,et al. A simulation model for the main engine of the modern containership [C]. Proceedings of the Third International Conference on Machine Learning and Cybernetics. Shanghai,China,2004:2996-3002.

[75] Dekanski C W,Bloor M I G,Wilson M J. A parametric model of a 2-stroke engine for design and analysis [J]. Computer methods in app1ied mechanics and engineering,1996,137(3/4):411-425.

[76] Shaver G M,Roelle M J,Gerdes J C. Modeling cycle-to-cycle dynamics and mode transition in HCCI engines with variable valve actuation [J]. Control Engineering Practice,2006,14(3):213-222.

[77] Kirchen P. Thermokinetic modeling of the HCCI cycle:Predicting the ignition timing[D]. Canada:University of Alberta. 2004.

[78] Filipi Z S,Assanis D N. A nonlinear,transient,single-cylinder diesel engine simulation for Predictions of instantaneous engine speed and torque [J]. Joumal of Engineering for Gas Turbines and Power,2001,123(4):951-959.

[79] Falcone P,Santini S,Langthaler P,et al. Torque generation model for diesel engine [C]. Proceedings of the 42nd IEEE Conference on Decision and Control. Maui,Hawaii,USA,2003:1771-1776.

[80] Zhang B,Fu W B,Gong J S. Study of fuel consumption when introducing DME or ethanol into diesel engine [J]. Fuel,2006,85(5/6):778–782.

[81] Moldanova J,Fridell E,Popovicheva O,et al. Characterization of particulate matter and gaseous emissions from a large ship diesel engine [J]. Atmospheric Environment,2009,43(16):2632–2641.

[82] Motley M R,Nelson M,Young Y L. Integrated probabilistic design of marine propulsors to minimize lifetime fuel consumption [J]. Ocean Engineering,2012,45:1-8.

[83] Rakopoulos C D,Giakoumis E G. Availability analysis of a turbocharged diesel engine operation under transient load conditions [J]. Energy,2004,29(8):1055-1104.

[84] 杨立. 6S60MC船用柴油机工作过程建模与仿真研究[D]. 大连:大连海事大学,2006.

[85] 田靓,高孝洪,陈辉. 基于Matlab/Simulink 的船舶主柴油机转速控制系统的动态仿真[J]. 船海工程,2006(2):18-21.

[86] 陆金铭. 船舶推进装置的MATLAB仿真[J]. 船舶工程,2002(5):38-40.

[87] 朱辉,王丽清,张幽彤,等. 用MATLAB/SIMULINK实现柴油机及其控制系统的动态仿真[J]. 内燃机学报,1998,16(3):314-321.

[88] Sidhu S,Graham J,Striebich R. Semi-volatile and particulate emissions from the combustion of alternative diesel fuels [J]. Chemosphere,2001,42(5/7):681-690.

[89] Dovifaaz X,Ouladsine M,Raehid A,et al. Neural modeling and control of a diesel engine with pollution constraints [C]. Proceedings of the American Control Conference. Anehorage,AK,USA,2002:2008-2013.

[90] Zeng F M,Chen Y T,Wu J M,et al. Dynamic modeling and simulation of marine diesel engine using Elman net works [C]. Proceedings of IEEE International Conference on Neural Networks & Signal Processing,Nanjing,China,2003:100-103.

[91] Antonie R,Vulde Z,Kuljaea O. Marine diesel engine process modeling and control using advanced technologies [C]. Proceedings of IEEE ISIE 2005,Dubrovnik,Croatia,2005:229-234.

[92] Shi W F,Yang J M,Tang T H. RBF NN based marine diesel engine generator modeling [C]. Proceedings of 2005 American Control Conference. Portland,OR,USA. 2005:2745-2749.

[93] 张均东. 轮机工程系统状态空间建模[D]. 大连:大连海事大学,1998.

[94] 郭江华,陆锦辉,侯馨光,等. 基于小波神经网络的船舶动力装置模型的建立[J]. 武汉理工大学学报,2008,32(5):929-932.

[95] 曹恒. 基于模糊逻辑的内热机车大功率柴油机智能控制系统的研究[D]. 大连:大连理工大学,2000.

[96] Class NK. Class NK’s approach to reducing greenhouse gas emissions from ships:implementation of EEOI appraisal services [R]. Tokyo:Class NK,2012.

[97] Kim T W. Green house gas reduction through technical and operational measures [C]. The Green Ship Technology Conference. Shanghai,China,2011.

[98] Naoki U. Outline of CO2 emissions regulation outline of CO2 emissions regulation measures in IMO and impact on the shipbuilding industry [R]. 3rd ASEF in China. Shanghai,China,2012.

[99] Japan International Transport Institute. Study on reduction of greenhouse gas emissions in ocean-going shipping:Evaluation of possible solutions [R]. Tokyo:Japan International Transport Institute,2009.

[100] Institute of Marine Engineering,Science and Technology. Marginal abatement costs and cost-effectiveness of energy-efficiency measures [R]. MEPC 61/INF.18. London:Institute of Marine Engineering,Science and Technology ,2010.

[101] Christiansen M,Fagerholt K,Ronen D. Ship Routing and Scheduling:Status and Perspectives [J]. Transportation Science,2004,38(1):1-18.

[102] Delitala A M S,Gallino S,Villa L,et al. Weather routing in long-distance Mediterranean routes [J]. Theoretical and Applied Climatology,2010,102(1/2):125-137.

[103] Xie X L,Wang T F,Chen D S. A dynamic model and algorithm for ?eet planning [J]. Maritime Policy and Management,2000,27(1):53–63.

[104] Takashima K,Mezaoui B,Shoji R. On the fuel saving operation for coastal merchant ships using weather routing [J]. The International Journal on Marine Navigation and Safety of Sea Transportation,2009,3(4):401-406,

[105] Psaraftis H N,Kontovas C A. Speed models for energy-efficient maritime transportation:A taxonomy and survey [J]. Transportation Research Part C,2013(26):331-351

[106] Lindstad H,Asbj?rnslett B E,Str?mman A H. Reductions in green house gas emissions and cost by shipping at lower speeds [J]. Energy Policy. 2011,39(6):3456-3464.

[107] Corbett J J,Wang H F,Winebrake J J. The effectiveness and costs of speed reductions on international shipping [J]. Transportation Research Part D,2009,14:593-598.

[108] Gershanik V. Optimising main engine running mode to decrease fuel consumption of seagoing vessels [J]. Proceedings of the Institute of Marine Engineering,Science,and Technology. Part A,Journal of marine engineering and technology,2008(12):33-42.

[109] Norstad I,Fagerholt K,Laporte G. Tramp ship routing and scheduling with speed optimization [J]. Transportation Research Part C,2011,19:853–865

[110] 张署. 船舶营运航速的优化分析[D]. 上海:上海海事大学,2004.

[111] 李胜. 船舶主机降速节能研究[D]. 大连:大连海事大学,2011.

[112] 梅森. 三峡库区及长江干线船舶经济航行优化研究[D]. 大连:大连海事大学,2009.

[113] 沈文胜. 长江船舶经济航速研究[D]. 武汉:武汉理工大学,2010.

[114] Latorre R. Reducing fishing vessel fuel consumption and NOx emissions [J]. Ocean Engineering,2001,28(6):723–733.

[115] Hansen H,Freund M. Assistance tools for operational fuel efficiency [C]. COMPIT’10 Conference Proceedings,Gubbio,Italy,2010:356-366.

[116] Ballou P,Chen H,Horner J D. Advanced methods of optimizing ship operations to reduce emissions detrimental to climate change [C]. Oceans 2008. Quebec,Canada,2008:15-18.

[117] Lin Y H,Fang M C,Yeung R W. The optimization of ship weather-routing algorithm based on the composite influence of multi-dynamic elements [J]. Applied Ocean Research,2013,43:184-194.

[118] 张宝吉. 基于静水阻力和波浪增阻的全船线型优化[J]. 华中科技大学学报:自然科学版,2011,39(10):32-35

[119] 施祝斌,王琪. 航行环境对船舶主机运行参数的影响[J]. 上海海事大学学报,2007,28(2):53-57.

[120] Shanem M,Harshit A,Armin S,et al. Comprehensive simultaneous shipboard and airborne characterization of exhaust from a modern container ship at sea [J]. Environmental Science and Technology,2009,43(13):4626-2640.

[121] Delitala A M S,Gallino S,Villa L,et al. Weather routing in long-distance Mediterranean routes[J]. Theoretical and Applied Climatology,2010,102(1/2):125-137.

[122] 孙星. 内河船舶能效研究系统分析与设计[D]. 武汉:武汉理工大学,2011.

[123] USGBC. Green building rating system version 2. 0 leadership in energy and environmental design [M] . Beijing:China Architecture & Building Press ,2000.

[124] 李爱仙. 美国能效标识项目简介[J]. 中国标准化,2001(6):51-52.

[125] BREEM. What is BREEAM? [EB/OL]. [2015-03-12]. http:∥www.breeam.org/.

[126] 日本可持续建筑协会. CASBEE 建筑物综合环境性能评价体系:绿色设计工具[M]. 石文星. 北京:中国建筑工业出版社,2005.

[127] Saaty T L. The analytic hierarchy process:planning,priority setting,resource allocation [M] . Pittsburgh:University of Pittsburgh ,1982.

[128] 刘飞,王秋莲. 机械制造系统能效评价的特点、研究现状及发展趋势[J]. 中国机械工程,2013,24(11):1550-1556.

[129] GHG Protocol. GHG Protocol Corporate Accounting and Reporting Standards [R]. Washington,D.C:GHG Protocol,2001.

[130] 陈欢. 温室气体核算体系:企业核算与报告标准 [M]. 修订版. 北京:经济科学出版社,2011.

[131] Maersk Logistics. The Supply Chain Carbon Check-Carbon Calculator [R]. Copenhagen:Maersk Logistics,2008.

[132] IMO. Development of an index for CO2 emissions per unit shipping capacity in actual operational conditions [R]. MEPC57/4/11,London:IMO,2007.

[133] IMO. CO2 emissions index per unit shipping capacity [R] .MEPC57/4/12,London:IMO,2007.

[134] IMO. Interim guidelines on the method of calculation of energy efficiency design index for the new ships [R]. MEPC.l/Circ.681,London:IMO,2009.

[135] BSR. Industry Focus: Energy and Extractives [EB/OL]. [2014-10-12].

http://www.bsr.org/en/consulting/industry-focus/energy-and-extractives.

[136] BSR. Global maritime trade lane emissions factors [R]. New York:BSR,2014.

[137] Intertanko. GHG Indexing of Ships [EB/OL]. [2014-10-12]. www.intertanko.com/upload/

GHGIndexingGunner.ppt.

[138] IMO. Guidelines for voluntary use of the ship energy efficiency operational indicator (EEOI). MEPC.1/Circ.684,London:IMO,2009.

[139] 倪骏恺. 船舶能效营运指数研究[D]. 上海:上海交通大学,2010.

[140] 朱大奇,史慧. 人工神经网络原理及应用[M]. 北京:科学出版社,2006.

[141] 董军,胡上序. 混沌神经网络研究进展和展望[J]. 信息与控制,1997,26(5):360-368.

[142] Abkowitz M A. Lectures on ship hydrodynamics steering and manoeuvability,Hydro and aerodynamics Laboratory [R]. Report No. Hy-5,Denmark:Technical University of Denmark,1964.

[143] Abkowitz M A. Measurement of hydrodynamic characteristics from ship manoeuvring trails by system identification [R]. Trans of SNAME,1980.

[144] 盛振邦,刘应中. 船舶原理[M]. 上海:上海交通大学出版社,2003.

[145] 徐筱欣. 船舶动力系统. 上海:上海交通大学出版社,2007.

[146] 郝勇. 海亊管理学[M]. 武汉:武汉理工大学出版社,2007.

[147] 吴力川,文元桥,陈佩燕. 基于信息扩散理论的浙江通航环境风场风险分析[J]. 武汉理工大学学报:交通科学与工程版,2011,35(5):1010-1014.

[148] 安菲莫夫. 船舶牵引计算[M]. 邢国江,柏桢,译. 北京:人民交通出版社,1985.

[149] 洪碧光. 船舶操纵原理与技术[M]. 大连:大连海事大学出版社,2007.

[150] 郭禹. 航海学[M]. 大连:大连海事大学出版社,2005.

[151] 中华人民共和国交通部. 运输船舶油耗计量仪表配备技术要求[S]. 北京:中国人民共和国交通部,2004.

[152] Sala,A,Carlo,F D ,Buglioni G,et al. Energy performance evaluation of fishing vessels by fuel mass ?ow measuring system [J]. Ocean Engineering,2011,38(5/6):804-809.

[153] 蔡毅,邢岩,胡丹. 敏感性分析综述[J]. 北京师范大学学报:自然科学版,2008,44(1):9-16.

[154] Garson G D. Interpreting neural network connection weights [J]. AI Expert,1991,6 (4):46-51.

[155] ITTC. Testing and extrapolation methods propulsion,performance propulsion test,propulsion committee of 23rd ITTC [R]. International towing tank conference,2002.

[156] Schneekluth H,Bertram V. Design for efficiency and economy [M]. Oxford :Butterworth & Heinemann,1998.

[157] Kwon Y J. Speed loss due to added resistance in wind and waves [J]. The naval architect,2008(3):14-16.

[158] Isherwood R M. Wind resistance of merchant ships. RINA supplementary papers,115,1974.

[159] Blendermann W. Parameter identification of wind loads on ships [J]. Journal of Wind Engineering and Industrial Aerodynamics,1994,51(3):339-351.

[160] 钱徐涛. 船舶实用浅水阻力计算及发展前景[J]. 江苏船舶,1993,10(2):1-7.

[161] 胡绪锠. 浅水航道与狭窄航道对船舶阻力的影响[J]. 水运工程,1986(6):27-29.

[162] 吴秀恒. 船舶操纵性与耐波性[M]. 北京:人民交通出版社,1999.

[163] Shi W. Simulation of the influence of ship voyage profiles on exhaust emissions [C]. 2008 ASME International Mechanical Engineering Congress and Exposition. Boston,Massachusetts,USA,2008:1-10.

[164] Brussen P. CO2-emissions of various ship types,simulated in an operational year profile [R]. TNO report,2006-D-R0262,Netherlands :TNO,2006.

[165] Yang D Q,Kwan S H,Lu T,et al. An emission inventory of marine vessels in Shanghai in 2003 [J]. Environmental Science & Technology,2007,41(15):5183-5190.

中图分类号:

 U676.3    

馆藏号:

 U676.3/B196/2015    

备注:

 403-西院分馆博硕论文库;203-余家头分馆博硕论文库    

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