跨部门整合,增加可再生能源在能源系统中的渗透——释放海上运输电气化的灵活性潜力

IF 5.4 Q2 ENERGY & FUELS
Marko Mimica , Maja Perčić , Nikola Vladimir , Goran Krajačić
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引用次数: 5

摘要

智能能源系统的创建对于欧盟的能源转型至关重要。为了成功地使海上运输脱碳并增加可再生能源整合的可能性,海上运输与电力系统的电气化和智能集成变得非常重要。本文提出了一种分析海上运输与电力系统一体化的新方法。该方法包括一个新的电动船舶模型,包括所有相关的发动机、航路和储能系统方面。通过包括船舶充电变量,可以将模型连接到配电网。该方法提供了分析海上一体化对不同连接选项和系统中可再生能源的不同份额的影响的可能性。研究发现,这种智能集成可以对整个智能能源系统产生积极影响。特别是,海上运输与电网的智能整合导致Kvarner群岛减少了3.9兆瓦时的削减能源,实现了可再生能源的最大渗透。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Cross-sectoral integration for increased penetration of renewable energy sources in the energy system – Unlocking the flexibility potential of maritime transport electrification

Cross-sectoral integration for increased penetration of renewable energy sources in the energy system – Unlocking the flexibility potential of maritime transport electrification

The creation of smart energy systems is essential for the energy transition of the European Union. Electrification and smart integration of maritime transport with the power system is becoming highly important in order to successfully decarbonise maritime transportation and increase the possibility for the integration of renewable energy sources. This study presents a novel method for the analysis of maritime transportation integration with the power system. The method includes a novel model for electric ships that include all relevant engine, ship route and energy storage system aspects. By including the ship charging variable it is possible to connect the model to the distribution grid. The method provides the possibility to analyse the impact of maritime integration for different connection options and with the different shares of renewable energy sources present in the system. The study found that such smart integration can have a positive impact on the overall smart energy system. In particular, the smart integration of maritime transport with the power grid led to the reduction of curtailed energy by 3.9 MWh in the Kvarner archipelago for the maximum analysed penetration of renewable energy sources.

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来源期刊
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
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