Energy Informatics

Table 2 Recommended methods and technologies for the energy metaverse development

From: Energy metaverse: the conceptual framework with a review of the state-of-the-art methods and technologies

Energy metaverse element	Deployed methods and technologies	Software and tools
A versatile energy ecosystem data space	• Open source cloud-based data management system • Open DevOps and MLOps platform • Interconnected databases • Microservices architecture • Standard API interfaces	MongoDB (2023) GitLab (2023) OpenAPI (2023)
An interoperable virtual ecosystem living lab	• Digital twin technology • Ecosystem architecture design and analysis methods • Multi-agent-based simulations • Hierarchical ontologies • Communication protocols and Interoperability standards	SDU-CEI Energy Metaverse platform (Ma 2023) Protégé (Protégé. 2023) Protégé Ontology Web Language (OWL) API (Programmer's and Guide 2023)
An energy system models and AI algorithms sandbox	• Energy system models • Deep learning algorithm libraries (DCNNs and LSTMs) • Transfer learning techniques • Communication protocols and interoperability standards	OpenModelica (2023) Keras (2023) PyTorch (2023) Jupyter Notebook (2023)
A circular value chain co-design toolbox	• Business model framework • Circular economy implementation strategies • Climate mitigation and adaptation strategies • Circular value chain framework • Value co-creation models • Ecosystem architecture design and analysis methods	Business model canvas (Strategyzer 2023) Ecosystem map generator (2023) Energy symbiosis designer (2023)
An ecosystem lifecycle evaluation software tool	• CSTEP ecosystem analysis and evaluation method • Multi-Criteria Decision Making (MCDM) models • Life Cycle Assessment (LCA) methods (including social LCA and Sustainability Assessment) • Green computing metrics	CSTEP Business Opportunity Identifier (2023) OpenLCA (2023) and Brightway (2023) PyMCDM (2023)

Back to article page