CAJ | 학술논문

为了减少船舶在港区的废气排放及促进港口群泊位资源的优化配置，本文建立了双港泊位分配协同优化模型，通过优化两港泊位分配和船舶在两港间的航速来降低燃油消耗量和总延误时间，并探讨了限速策略的影响。采用将船舶燃油消耗函数分段线性化的方法，将模型转化为混合整数线性规划模型。仿真实验表明，相比于传统的以计划延误时间最小化为目标的单港泊位分配模型，双港协同优化模型不仅能够进一步优化两港总的延误时间，而且能够明显减少船舶燃油消耗量。这从运作层面为提高港口群整体服务水平、建设绿色港口提供了理论支持。
위료감소선박재항구적폐기배방급촉진항구군박위자원적우화배치，본문건립료쌍항박위분배협동우화모형，통과우화량항박위분배화선박재량항간적항속래강저연유소모량화총연오시간，병탐토료한속책략적영향。채용장선박연유소모함수분단선성화적방법，장모형전화위혼합정수선성규화모형。방진실험표명，상비우전통적이계화연오시간최소화위목표적단항박위분배모형，쌍항협동우화모형불부능구진일보우화량항총적연오시간，이차능구명현감소선박연유소모량。저종운작층면위제고항구군정체복무수평、건설록색항구제공료이론지지。
To reduce vessel emissions and optimize berth allocation for the port group, we propose the dou-ble ports coordinated optimization (DPCO) model. By optimizing berth allocation of the ports and the vessel speed of the leg, both fuel consumption and total delay time of vessels can be reduced. The effects of speed limit strategy are discussed as well. This model is formulated as a mixed integer linear programming model by using a piecewise linear function to approximate the bunker consumption function. The results show that the coordinated plan provided by the model can optimize the departure delay objective, while significantly re-ducing the total fuel consumption than that by traditional single port berth allocation (SPBA) model. This pa-per provides theoretical support for the improvement of service level for the port group and the construction of green ports from the operational level.