...
首页> 外文期刊>Energy >Impact of carbon pricing on the cruise ship energy systems optimal configuration
【24h】

Impact of carbon pricing on the cruise ship energy systems optimal configuration

机译:碳定价对游轮能源系统最佳配置的影响

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The shipping industry has been facing increasing challenges due to the stringent regulations for anthropogenic emissions limits, the new targets for carbon emissions reduction and the potential carbon pricing introduction. These have led to an upsurge of activities towards improving the environmental footprint of cruise ships. This study investigates the impact of carbon pricing on the cruise ships optimal power plant configuration. Mathematical models are used to estimate the performance of the cruise ship energy systems. A novel bi-objective optimisation method for the cruise ship energy systems synthesis is developed, which employs the Non-Sorting Genetic Algorithm H optimisation algorithm and uses as objectives the Life Cycle Cost and the lifetime carbon emissions. Cruise ship configurations that perform optimally under carbon pricing scenarios whilst complying with the existing emissions regulations are identified. The derived results show that the baseline configuration does not belong to the optimal solutions, whereas solutions including carbon capture, waste heat recovery and dual fuel generator sets that operate with natural gas or methanol can reduce drastically the carbon emissions. The optimisation identified solutions that reduce the Life Cycle Cost by 40% compared to the baseline configuration despite increasing their capital cost whilst reducing of the carbon emissions more than 37%. (C) 2019 Elsevier Ltd. All rights reserved.
机译:由于对人为排放限值的严格规定,减少碳排放的新目标以及潜在的碳定价,航运业面临着越来越多的挑战。这些导致了为改善游轮的环境足迹而开展的活动的热潮。这项研究调查了碳定价对游轮最佳电厂配置的影响。数学模型用于估计游轮能源系统的性能。提出了一种基于非排序遗传算法H优化算法的游轮能源系统综合双目标优化方法,并以生命周期成本和生命周期碳排放为目标。确定了在碳定价方案下性能最佳且同时符合现有排放法规的游轮配置。得出的结果表明,基线配置不属于最佳解决方案,而包括碳捕获,废热回收和使用天然气或甲醇运行的双燃料发电机组在内的解决方案可以大大减少碳排放。该优化确定了可以使生命周期成本与基准配置相比降低40%的解决方案,尽管这些解决方案增加了资本成本,同时碳排放量减少了37%以上。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号