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Stimulating sustainable energy at maritime ports by hybrid economic incentives: A bilevel optimization approach

机译:通过混合经济激励措施刺激海港的可持续能源:彼得利优化方法

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Over the past few decades, maritime ports have faced ever-increasing critiques regarding their significant production of air emissions resulting from their energy activities. To promote sustainability at ports, regulatory authorities have introduced the concept of regulations and economic incentives. In this paper, we analyze the process in which a regulatory authority defines regulations, incentives, and tax policies to motivate one or more ports in the region to initiate energy sustainability and emission-reduction efforts. We model the behaviors of both the regulatory authority and the participating ports in the form of a multi-objective mixed-integer nonlinear bilevel optimization problem to capture the hierarchy of the policy-making process and the existing competitions among the ports. The proposed model finds the optimal incentive and tax policies for the policy-maker in the upper-level and provides the ports in the region with the optimal choice of sustainable energy solutions and service prices in the lower-level. Simulation results show that the proposed approach can effectively reduce the region-wide emission from the port activities while ensuring port entities' welfare, competitiveness, and sustainable growth as regional energy hubs.
机译:在过去的几十年里,海港面临着有关其优势活动导致的空气排放大量生产的批评。为了促进港口的可持续性,监管机构介绍了法规和经济激励措施的概念。在本文中,我们分析了监管机构定义了法规,激励措施和税收政策的过程,以激励该地区的一个或多个港口,以启动能源可持续性和减排努力。我们以多目标混合 - 整数非线性贝罗vel优化问题的形式模拟了监管机构和参与港口的行为,以捕获港口中的政策制定过程的等级和港口中的现有竞争。拟议的模式在上层中找到了政策制定者的最佳激励和税收政策,并在该地区提供了最佳选择可持续能源解决方案和下层服务价格的港口。仿真结果表明,该拟议的方法可以有效地减少港口活动的区域广泛排放,同时确保港口实体的福利,竞争力和可持续增长作为区域能源中心。

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