本文選題：船舶能效管理計(jì)劃SEEMP　切入點(diǎn)：油耗模型　出處：《上海交通大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：國際海事組織IMO擬通過船舶能效管理計(jì)劃SEEMP建立適用于所有營運(yùn)船舶的強(qiáng)制性能效標(biāo)準(zhǔn),逐步控制和減少海上的CO2排放總量。而燃油開支在船舶運(yùn)行成本中所占比例最大,該計(jì)劃在降低排放的同時(shí),必然會減少能耗并帶來可觀的燃油開支節(jié)約。上述經(jīng)濟(jì)、環(huán)境及法律法規(guī)因素共同決定了船舶必須以更低的油耗、更少的排放投入未來的實(shí)際運(yùn)營。這在技術(shù)和管理兩方面都對船舶和船隊(duì)提出了更高的要求。船舶能效管理計(jì)劃SEEMP的實(shí)施必須透徹理解與船舶油耗相關(guān)的各種影響因素,并據(jù)此建立船舶油耗的預(yù)測模型。本文正是基于上述背景,尋求建立油耗模型的通用方法,量化各種環(huán)境及操作因素對于油耗和航速的影響程度,為航行優(yōu)化提供決策基礎(chǔ),對于提高船舶能效運(yùn)行指數(shù)EEOI具有決定意義。本文將丹麥籍客滾輪MS Smyril號作為研究案例,對船舶實(shí)測運(yùn)行數(shù)據(jù)進(jìn)行了分析和預(yù)處理,并使用人工神經(jīng)網(wǎng)絡(luò)構(gòu)建了船舶油耗和航速的黑箱模型。基于實(shí)測數(shù)據(jù)與模型預(yù)測數(shù)據(jù)的對比,驗(yàn)證了上述油耗模型的準(zhǔn)確性和實(shí)用性,對于后續(xù)研究和應(yīng)用具有重要借鑒價(jià)值。
[Abstract]:The International Maritime Organization (IMO) IMO plans to establish mandatory energy efficiency standards for all operating ships through the ship Energy efficiency Management Plan (SEEMP) to gradually control and reduce the total amount of CO2 emissions at sea. While reducing emissions, the plan will inevitably reduce energy consumption and result in significant fuel savings. These economic, environmental, and regulatory factors together determine that ships must have lower fuel consumption. Less emissions will be put into practical operation in the future. This puts higher demands on ships and fleets both technically and administratively. The implementation of the ship's energy efficiency management plan (SEEMP) must have a thorough understanding of the various factors that affect the ship's fuel consumption. Based on the above background, this paper seeks a general method to establish the fuel consumption model, quantifies the influence of various environment and operation factors on the oil consumption and speed, and provides the decision basis for the navigation optimization. In this paper, the Danish passenger roller MS Smyril number is taken as a case study to analyze and preprocess the actual ship operation data. The black-box model of ship fuel consumption and speed is constructed by using artificial neural network. The accuracy and practicability of the model are verified by comparing the measured data with the predicted data. It has important reference value for follow-up research and application.
【學(xué)位授予單位】：上海交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U676.3

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本文編號：1595687