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首页> 外文期刊>Journal of Cleaner Production >Cooperative optimization of shore power allocation and berth allocation: A balance between cost and environmental benefit
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Cooperative optimization of shore power allocation and berth allocation: A balance between cost and environmental benefit

机译：岸电力分配和泊位分配的合作优化：成本与环境效益之间的平衡

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Shore power is the use of shore-side electricity to satisfy ships' electricity demand during berthing at ports. It is an effective measure of reducing the emissions produced by auxiliary engines of ships at berth. This paper develops a cooperative optimization method to model the problem of whether to allocate shore power for each berth and which berth is allocated for the stochastic arriving ship. The cooperative optimization method is to minimize the total cost of installing and using shore power systems and maximize the environmental benefit of reducing air pollution and greenhouse gas emissions. Considering the emission of different pollutants can't be directly accumulated as the objective, different pollutants are uniformly expressed as economic penalties by imposing environmental taxes and then economic penalties are regarded as the objective of environmental benefits. Firstly, the problem is carried out by proposing a multi-objective cooperative optimization model from the perspective that both shipping and port companies take overall benefits of port supply chains as the optimization target. Next, the multi-objective particle swarm optimization algorithm is adopted to resolve the model. Then, a proposed bulk terminal/wharf is taken as an example to conduct experiments for gaining optimal solutions under different carbon pricing policy scenarios. After then, based on the proposed preference-based decision-making method, optimal decisions under different preference are obtained. Finally, in order to analyze the applicability and generalizability of the model, experiments are conducted to analyze the impact of environmental tax rates on results and berthing time on environmental benefits. The results show that optimal solutions can reduce emissions of carbon dioxide, sulfur oxides, nitrous oxides and particulate matters by at least 3.8% while reducing the total cost by 35.9%, compared with the baseline scheme. Meanwhile optimal solutions can reduce emissions by up to 100%, but increase the total cost by 183.7%. Besides, the proposed model has good applicability when the berthing time and environmental tax rates change. In conclusion, the developed method can be widely used for popularizing shore power, promoting port sustainable development, reducing global air pollution and greenhouse gas emissions. (C) 2020 Elsevier Ltd. All rights reserved.
机译：岸电力是使用岸边电力在港口停泊期间满足船舶的电力需求。它是减少泊位船舶辅助发动机产生的排放的有效措施。本文开发了一个合作优化方法，以模拟是否为每个泊位分配岸电力，并且为随机到达船舶分配泊位。合作优化方法是最大限度地减少安装和使用岸电系统的总成本，并最大限度地降低空气污染和温室气体排放的环境效益。考虑到不同污染物的排放不能直接累积为目标，不同的污染物通过施加环境税而统一表示为经济处罚，然后经济处罚被视为环境效益的目标。首先，通过提出一种从角度提出多目标合作优化模型来执行问题，即运输和港口公司将港口供应链的整体效益作为优化目标。接下来，采用多目标粒子群优化算法来解析模型。然后，将提出的散装终端/码头作为示例，以便在不同碳定价策略方案下获得最佳解决方案的实验。然后，基于所提出的基于偏好的决策方法，获得了不同偏好的最佳决策。最后，为了分析模型的适用性和概括性，进行了实验，以分析环境税率对环境效益的结果和停泊时间的影响。结果表明，与基线方案相比，最佳溶液可将二氧化碳，硫氧化物，氧化氮，氧化物，氧化氮，氧化氮和颗粒物质的排放减少35.9％，与基线方案相比降低了35.9％。同时最佳解决方案可降低排放量高达100％，但总成本增加183.7％。此外，拟议的模型在停泊时间和环境税率变化时具有良好的适用性。总之，开发的方法可广泛用于普及岸电力，促进港口可持续发展，减少全球空气污染和温室气体排放。 （c）2020 elestvier有限公司保留所有权利。

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