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Towards a Cleaner Environment: Smart Grid Management in the Presence of Electric Vehiecles, Renewable Energy Sources, and Storage

Towards a Cleaner Environment: Smart Grid Management in the Presence of Electric Vehiecles, Renewable Energy Sources, and Storage
迈向更清洁的环境:电动汽车、可再生能源和存储的智能电网管理
批准号:
577133-2022
负责人:
Capretz, MiriamMAM
金额:
$17.37万
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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中文摘要
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英文摘要
Renewable energy is one of the leading technologies used to fight climate change. To transition to a cleaner economy and reduce GHG emissions, Canada has set a goal to achieve net-zero emissions by 2050 by updating infrastructure and investing in renewable energy generation. A significant challenge with renewable energies, such as solar and wind power, is the lack of continuous energy production. Therefore, smart grids require storage capacity, which can be obtained from batteries. Electric vehicles (EVs) are an alternative source to ensure a continuous distribution operation: because EVs mostly have low utilization rates, the stored energy could be fed back to the grid to support distribution services during peak demand times. Accumulated EVs storage capacity has been estimated to reach 7 TWh by 2030. However, expansive growth in EV adoption presents challenges, such as scheduling energy injection from batteries into the grid and electricity consumption while accounting for users' energy costs and sustainability metrics. Consequently, this project aims to design and develop cutting-edge data analytics for managing smart grids, improving demand response actions, and reducing GHG emissions by leveraging renewable energy sources and EVs. The components of this proposed research are i) Forecast energy consumption, renewable generation, and injection of stored energy into the grid. ii) Target users for Demand-Response (DR) by customer clustering and characterization and develop a framework for pricing strategy to incentivize energy savings. Develop a green index that assigns a score to the consumer consumption profile concerning its accordance with the utility policy for sustainability. iii) Support peak demand and mitigate the volatility of renewable-intensive grids by optimizing the consumption scheduling and injection of electricity stored in EVs and batteries into the grid. The project will help London Hydro and Canada to overcome challenges in providing more stable services and leveraging renewable technology's better socio-economic and environmental impacts.
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Data-Driven Approaches for Digital Twins of Manufacturing Processes
  • 批准号:
    576990-2022
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $1.82万
  • 财政年份:
    2022
  • 负责人:
    Capretz, MiriamMAM
  • 依托单位:
海外基金