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Network balancing from large parking facilities and commercial buildings


Description:

NeX2G is a Collaborative and Knowledge-building Project that will meet societal and industry-related challenges (KSPK). The project will investigate the potential magnitude and economic sustainability of flexibility available to the energy system from long-term parking of electrical vehicles (EVs) and commercial building assets. We will use Oslo airport Gardermoen as a case and work with real time data as basis for detailed and aggregated analysis. Airports are interesting because future power demand will increase substantially and they will in the future have a large pool of parked EVs. Five bidirectional EV chargers will be installed at the airport together with devices to collect real time data on operation and control of chargers and selected building assets. Machine learning algorithms will be used to predict the flexibility based on the collected data and experience with seamless exchange of energy, grid and flexibility services collected. Use of EVs as energy storage requires robust technical solutions, marketplace development, visualization of benefits and possibly policy incentives. Moreover, the comparison of economic benefits for the owner (Avinor) with the socioeconomic benefits and need for policy is crucial for the realisation of X2G.


Project leader: Thomas Martinsen

Started: 2021

Ends: 2024

Category: Universiteter

Sector: UoH-sektor

Budget: 6926000

Institution: Universitetsbiblioteket NMBU

Address: Ås