The Deployment Feasibility Framework for Peer‐to‐Peer Community‐Level Green Energy Markets: A Comprehensive Analysis of Technical, Policy, and Social Dimensions

ABSTRACT

The global energy transition towards decarbonised, distributed systems has sparked significant academic interest in combining artificial intelligence (AI) and blockchain technologies for peer‐to‐peer (P2P) energy trading. However, a conspicuous chasm exists between theoretical research and practical deployment, with few scalable, user‐adopted P2P energy markets successfully implemented. This paper synthesises extensive research to identify and address the “Deployment Feasibility Gap” – a multifaceted barrier comprising data science integrity issues, on‐chain engineering challenges, policy constraints, and social acceptance obstacles. We introduce the deployment feasibility framework (DFF), a holistic blueprint that integrates four foundational pillars: data‐to‐deployment fidelity, systematically optimised prediction, practical on‐chain implementation, and AI‐driven user experience. The framework addresses critical policy frameworks, regulatory barriers, and social acceptance challenges for implementing P2P community‐level green energy markets, particularly in developing countries like South Africa. Our analysis reveals that while AI‐blockchain synergy shows promise in controlled environments, deployment requires addressing real‐time feature availability constraints, blockchain scalability limitations, energy justice concerns, and severe user experience barriers that prevent mainstream adoption. The DFF provides a critical roadmap for developing robust, scalable, and user‐centric P2P energy markets capable of addressing real‐world energy challenges, particularly in crisis‐affected regions where load‐shedding has created urgent demand for decentralised energy solutions. To ensure practical viability, the framework identifies critical design benchmarks aimed at achieving 95% forecast accuracy for microgrid stability, sub‐second latency for market clearing, and an aspirational 30% reduction in energy costs for participating communities.