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Technoeconomic Models for the Optimal Inclusion of Hydrogen Trains in Electricity Markets

机译:技术经济模型,用于电力市场中氢火车的最佳纳入

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Hydrogen-based railway (Hydrail) vehicles are rising as a solution that decreases the environmental impact caused by carbon emissions from diesel engines and at the same time avoids the enormous capital costs associated with direct electrification (DE) of rail lines. This article introduces new technoeconomic models for the inclusion of Hydrail in electricity markets. Exploiting the size and flexibility that large Hydrail electricity demand imparts, price-taker and price-maker scenarios are outlined and compared. Furthermore, this article presents a novel optimal scheduling mechanism for the hydrogen electrolysis process chosen for hydrogen production in the models.This mechanism minimizes electricity costs based on a linear programming model which optimizes the energy drawn from the grid for hydrogen generation, incorporating hydrogen reservoir capabilities and hydrogen input and output rates. This article proves the strengths of these new technoeconomic models for the inclusion of Hydrail in electricity markets and the effectiveness of the optimal scheduling mechanism, through a case study for the deployment of a Hydrail system in the Greater Toronto Area (GTA) in Ontario’s electricity market. After comparison to a DE option, this article presents Hydrail as a strong option for the evolution of sustainable, integrated, cost-effective, and low-carbon-emission solution for public transportation.
机译:基于氢气的铁路(氢)车辆作为一种溶液,降低了柴油发动机碳排放造成的环境影响,同时避免了与轨道线的直接电气化(DE)相关的巨大资本成本。本文介绍了在电力市场中纳入氢的新技术经济模型。利用大碳水需求推动,价格 - 接受者和价格制造商情景的规模和灵活性均概述和比较。此外,本文介绍了在模型中选择用于氢气产生的氢电解过程的新颖最佳调度机制。该机制基于线性编程模型最小化电力成本,该模型优化了从氢气产生的电网汲取的能量,包括氢储存能力。和氢气输入和输出速率。本文证明了这些新技术经济模型的优势,以便将龙龙在电力市场(GTA)在Ontario的电力市场中部署碳水化合物系统的案例研究。与DE选项进行比较后,本文将龙龙作为可持续,综合,经济效益和低碳排放解决方案为公共交通的强大选择。

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