Optimal joint scheduling of LOHC-based hydrogen generation and storage for fuel supply to transportation sector and ancillary services to power grids

基于LOHC的制氢和存储的优化联合调度，用于交通部门的燃料供应和电网的辅助服务

• 批准号: 529587-2018
• 负责人: Farag, Hany
• 金额: $ 0.78万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Engage Plus Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=650456
• 关键词: Optimal; joint; scheduling; LOHC; based

The proliferation of hydrogen fueling stations is critical for the successful materialization of hydrogen-powered**electric vehicles. Storage-based hydrogen fueling stations could, in part, utilize the renewable/ inexpensive**electricity-that would otherwise be curtailed-to generate hydrogen and straightforwardly yield profit for the**operator of the stations. In order to further enhance the economic viability of these fueling stations, the full**benefit of the investment through joint applications should be aimed via providing ancillary services to the**power grid. The economic efficiency of jointly scheduled hydrogen storage, however, is seriously undermined**if its capacity is not optimally allocated for each application. This project aims to develop an optimization**model for hydrogen generation, storage scheduling, and storage capacity allocation for multiple applications.**The model will be specifically developed for the liquid organic hydrogen carriers (LOHC)-based plants that**would enable huge amount of hydrogen storage in smaller footprints compared to the conventional hydrogen**storage solutions. The proposed model in this project would take into account various operating constraints to**ensure that the hydrogen generation and storage meets both the demand by the transportation sector and the**ancillary services' requirement of the power grid.

氢加油站的增殖对于成功实现氢驱动的**电动汽车至关重要。基于存储的氢加油站可以部分利用可再生/廉价的**电力 - 否则将减少电力，以生成氢气，并直接从车站的运营商中获得利润。为了进一步增强这些加油站的经济可行性，应通过为**电网提供辅助服务来实现通过共同申请的全部**利益。但是，如果未针对每种应用最佳分配其容量，则严重破坏了共同计划的氢的经济效率。该项目旨在为多个应用程序开发一种针对氢生成，存储计划和存储能力分配的优化**模型。该项目中的拟议模型将考虑到**的各种操作限制，以确保氢生成和存储既满足运输部门的需求，又满足**辅助服务对电网的要求。