王文渊
Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Gender:Female
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:水利工程系
Discipline:Port, Coastal and Offshore Engineering
Business Address:综合实验3#楼407室
Contact Information:0411-84707174
E-Mail:wangwenyuan@dlut.edu.cn
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Indexed by:期刊论文
Date of Publication:2016-09-10
Journal:JOURNAL OF CLEANER PRODUCTION
Included Journals:SCIE、EI、Scopus
Volume:131
Page Number:649-658
ISSN No.:0959-6526
Key Words:Container terminals; Container gantry crane; Energy replacement management; Carbon emission reduction
Abstract:Electric rubber tire container gantry cranes (ERTGs) have already been widely used to replace rubber tire container gantry cranes (RTGs) in many ports of the world, especially in China. ERTGs can reduce carbon dioxide emissions by shifting energy demand from diesel to electricity (energy replacement). It takes almost 6-12 months to change a RTG to an ERTG, and the changed yard cranes cannot work during the replacement phase due to the mechanical reformation and electrical power system construction etc. Therefore, the yard crane network will generate bottlenecks in the container flow and influence the service level when energy replacement happens. This paper focuses on the problem of allocating limited resources for yard cranes to reduce the carbon emissions. The main challenges are how to solve the energy replacement problem at a network level and how to cope with the high uncertainties in the container terminal transportation network. Therefore, we model the energy replacement problem with the purpose of minimizing the carbon emissions by combining an allocation resource mathematical model and a simulation model of the whole transportation network together. The first stage of the energy replacement problem is to make energy replacement decisions each year, while the second stage is to evaluate the value of a seaport's service level based on the realized decisions by running the simulation model. However, the service level indicator is a random variable dependent on the decisions in the mathematical model, which should be controlled to make the seaport work normally at a network level. As an example, the optimization and simulation procedures are applied to a major container terminal in China. The proposed model is general and can be applied to the energy replacement problem of any other seaport. (C) 2016 Elsevier Ltd. All rights reserved.
大连理工大学港航与海洋工程学院副院长，教育部“长江学者奖励计划”青年学者。
2006年本科毕业于大连理工大学港口航道与海岸工程专业。2008、2012年硕士及博士毕业于大连理工大学港口、海岸及近海工程专业，2012-2014年在大连理工大学土木工程博士后流动站工作（师资博士后），2012年1月，留校工作。2017年入选辽宁省百千万人才工程，大连市青年科技之星，获中国路桥奖教金。2018年破格遴选为博士生导师。2019年入选大连理工大学“星海优青”。2020年获教育部霍英东青年教师奖。
作为首席负责人，主持科技部2021年国家重点研发计划《绿色港口建设与生态安全保障技术》项目（7450万元），主持国家自然科学基金3项，以及科技部、交通部、工信部等各类国家级、省部级纵向课题20余项、横向课题100余项。
主要从事于绿色港口空间规划、港口生产系统智能调度、生态型港口水工结构等领域教学研究工作，研究成果获得中国港口协会科学技术奖一等奖和中国水运建设行业协会科学技术奖二等奖等多项奖励。相关研究成果发表在《Ocean Engineering》、《Applied Ocean Research》、《Journal of Cleaner Production》、《Ocean & Coastal Management》、《Journal of Navigation》、《Journal of Waterway Port Coastal and Ocean Engineering》、《Journal of Pressure Vessel Technology》、《International Journal of Mechanical Sciences》、《Simulation: Transactions of the Society for Modeling and Simulation International》、《交通运输工程学报》、《哈尔滨工程大学学报》、《水运工程》、《水道港口》等国内外知名刊物上。
