The current version of the Energy Metaverse includes:
DERInGrid: A digital twin of electricity distribution networks with households and distributed energy resources. DERInGrid enables electricity system operators to predict the impact of distributed energy resources on a power grid. It automatically generates a topology representation of the system and its residential consumer connections based on input data, allowing users to conveniently perform simulations on different distribution systems. It also comes with a user-friendly interface for users to adjust parameters for different scenarios.
Main Theories Behind the DERInGrid:
- Værbak, M. (2022). Agent-Based Framework for Simulating Evolution of Distributed Energy Resources in Energy Systems. [Ph.d.-afhandling, SDU]. Syddansk Universitet. Det Tekniske Fakultet. https://doi.org/10.21996/vny1-bw06
- Værbak, M., Ma, Z., Demazeau, Y. et al. A generic agent-based framework for modeling business ecosystems: a case study of electric vehicle home charging. Energy Informatics 4 (Suppl 2), 28 (2021). https://doi.org/10.1186/s42162-021-00158-4
EVGridSynergy: a digital twin of electric vehicle (EV) charging algorithms and dynamic distribution tariffs and electricity pricing. It enables Distribution System Operators to optimize grid efficiency, allows EV users to select cost-effective charging strategies, and supports Charging Service Providers in developing tailored solutions. With multi-criteria decision-making models, EVGridSynergy empowers stakeholders to navigate the energy ecosystem and promotes environmentally responsible growth.
Main Theories Behind the EVGridSynergy:
Christensen, K. (2022). Multi-Agent Based Simulation Framework for Evaluating Digital Energy Solutions and Adoption Strategies. [Ph.d.-afhandling, SDU]. Syddansk Universitet. Det Tekniske Fakultet. https://doi.org/10.21996/kksb-v823