enerDAG – Towards a DLT-based Local Energy Trading Platform

Due to decreasing costs and less by-effects of renewables energy the energy production is getting more and more decentralized and therefore leads to more bottom-up loads on the grid. To reduce the stress on the grid local energy grids with smart energy trading are a possible solution. This paper describes the goals and concept of our flexible resilient local energy trading platform called enerDAG and how it can easily be extended through smart contracts. At the end enerDAG gets critically analyzed if it solves the critical requirements for a scalable smart grid platform. Nodes using this platform can get a financial advantage through cheaper local energy which might also lead to even more investment in own regenerative energy systems.

[1]  Felix Wortmann,et al.  Quartierstrom - Implementation of a real world prosumer centric local energy market in Walenstadt, Switzerland , 2019, ArXiv.

[2]  Serguei Popov,et al.  Equilibria in the Tangle , 2017, Comput. Ind. Eng..

[3]  Satoshi Nakamoto Bitcoin : A Peer-to-Peer Electronic Cash System , 2009 .

[4]  Nick Szabo,et al.  Smart Contracts: Building Blocks for Digital Markets , 2018 .

[5]  G. Kerber Aufnahmefähigkeit von Niederspannungsverteilnetzen für die Einspeisung aus Photovoltaikkleinanlagen , 2011 .

[6]  Madeleine Gibescu,et al.  An integrated blockchain-based energy management platform with bilateral trading for microgrid communities , 2020, Applied Energy.

[7]  Vitalik Buterin A NEXT GENERATION SMART CONTRACT & DECENTRALIZED APPLICATION PLATFORM , 2015 .

[8]  Erik Poll,et al.  What Blockchain Alternative Do You Need? , 2018, DPM/CBT@ESORICS.

[9]  Omid Abrishambaf,et al.  Towards transactive energy systems: An analysis on current trends , 2019, Energy Strategy Reviews.

[10]  Thomas Heinz Meitinger,et al.  Smart Contracts , 2017, Informatik-Spektrum.

[11]  Karen A. Scarfone,et al.  Blockchain Technology Overview , 2018, ArXiv.

[12]  Alain Brenzikofer,et al.  Privacy-Preserving P2P Energy Market on the Blockchain , 2019, ArXiv.

[13]  Florian Schäfer,et al.  Pandapower—An Open-Source Python Tool for Convenient Modeling, Analysis, and Optimization of Electric Power Systems , 2017, IEEE Transactions on Power Systems.

[14]  S. Popov The Tangle , 2015 .

[15]  Felix Wortmann,et al.  Trading solar energy within the neighborhood: field implementation of a blockchain-based electricity market , 2019, Energy Inform..

[16]  Joaquin Garcia-Alfaro,et al.  Data Privacy Management, Cryptocurrencies and Blockchain Technology , 2018, Lecture Notes in Computer Science.