DEEP: Dynamic and Efficient Energy-sharing P2P networks
In the context of sharing renewable energy resources, Peer-to-peer (P2P) systems have been shown to be beneficial for pro- and consumers through reductions in energy cost while being attractive to grid or service provider, by e.g. being able to better regulate load-balancing of distributed energy resources, providing higher local self-sufficiency and/or reducing the peak demand. Organizing the sharing into P2P setups can be leveraged as a way to optimize the cost-benefits from distributed resources. This has been shown to be the most efficient (in terms of cost and exchange of data) when small-scale independent communities are used matching together one prosumer with a small group of consumers without energy resources. The goal of this project is the design of matching algorithms taking into account for the cost-optimization (1) the dynamic aspect of the matching preferences constantly changing between peers and (2) the profitability of both energy end-users and energy or grid provider. Trying to integrate those two aspects in the cost-optimization matching procedure is a novel approach that would provide concrete mechanisms to build sharing communities in practical scenarios, becoming a highly valuable asset for tomorrow’s energy systems.
Romaric Duvignau (contact)
Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
Funding Chalmers participation during 2021
Related Areas of Advance and Infrastructure
Areas of Advance