Value chain optimization of hydroelectric power generation systems

水力发电系统价值链优化

• 批准号: 522126-2017
• 负责人: Arsenault, Richard
• 金额: $ 5.08万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 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=644167
• 关键词: Value; chain; optimization; hydroelectric; power

Hydroelectric power generation is one of Canada's most important assets, covering over 60% of the country's total electricity demand. In the near future, some of the oil-based demand will transition to electricity due to the mass-marketing of electric vehicles and shift to electric public transit. This will exert supplementary pressure on the electricity demand in Canada. This project aims to identify areas of improvement in the operation of hydroelectric power generation systems and develop tools to measure the effects of proposed improvements. ****More specifically, this project aims to improve the value chain of the hydroelectric power generation operations. This includes gathering as much information as possible from the short-term and medium-term weather forecasts and observed climatology, transforming that information into the best possible estimates of future inflows to hydropower reservoirs and then making the optimal water releases from the reservoirs. This multi-step process is stochastic in nature and probabilistic approaches will have to be implemented and improved upon to attain the objective. The novelty of this project lies in the skill evaluation of multiple combinations of forecasting tools and quantifying the improvements using a hydropower system simulator. ****The proposed research and simulation tools will be developed and investigated for a 4-reservoir, 6-generating station hydropower system in central Québec which is operated by Rio Tinto for its aluminium smelting plants. Derivatives of this system will also be independently investigated, such as by adding or removing reservoirs, which will allow generalizing the results to different hydropower arrangements.********

水力发电是加拿大最重要的资产之一，占全国总电力需求的60%以上。在不久的将来，由于电动汽车的大规模销售，部分石油需求将转向电力，并转向电动公共交通。这将对加拿大的电力需求产生补充压力。该项目旨在确定水力发电系统运行中需要改进的领域，并开发工具来衡量拟议改进的效果。* 更具体地说，该项目旨在改善水力发电运营的价值链。这包括从短期和中期天气预报和观测到的气候学中收集尽可能多的信息，将这些信息转化为对未来流入水电站水库的水量的尽可能最佳的估计，然后从水库中进行最佳的放水。这个多步骤的过程是随机性的，概率的方法将不得不实施和改进，以达到目标。该项目的新奇之处在于预测工具的多种组合的技能评估和量化的改进，使用水电系统模拟器。* 拟议的研究和模拟工具将针对魁北克省中部的4个水库、6个发电站的水电系统进行开发和调查，该水电系统由力拓集团为其铝冶炼厂运营。该系统的衍生物也将被独立研究，例如通过增加或删除水库，这将允许将结果推广到不同的水电安排。