🤖 AI Summary
This study addresses the dual challenges of tamper-prone energy data and speculation driven by economic incentives in the large-scale deployment of urban rooftop photovoltaics. The authors propose a trustless energy market framework grounded in physical constraints, wherein the thermodynamic limits of solar energy conversion serve as hard verification boundaries on a blockchain. By integrating real-time meteorological data, geospatial coordinates, and first-principles modeling, the framework establishes a theoretical upper bound on power generation for each photovoltaic panel, enabling automatic detection and filtering of anomalous data. Additionally, a digital credit destruction mechanism strictly tied to actual energy consumption ensures verifiable carbon accounting and curbs speculative behavior. Deployed across multiple cities, the prototype system demonstrates robustness against data injection attacks and effectively lowers capital barriers to community-scale PV adoption, offering a general coordination paradigm that balances data integrity with sustainable investment in distributed energy infrastructure.
📝 Abstract
Urban decarbonization requires scaling rooftop solar across millions of fragmented producers, yet cities face a fundamental tension: energy data is easily manipulated, and economic incentives often reward speculation rather than actual infrastructure deployment. We present SolarChain, a platform that resolves both problems by anchoring digital accountability to the thermodynamic limits of solar energy conversion. Using real-time meteorological data, geospatial coordinates, and first-principles calculations of solar yield, the system establishes a hard physical boundary for every panel's maximum possible output; any reported generation exceeding this limit is automatically rejected before entering the shared ledger. This trustless verification enables a peer-to-peer marketplace with programmatic reward structures that continuously reinvest value into equipment maintenance and market liquidity, preventing the speculative hoarding that typically destabilizes blockchain-based marketplaces. When electricity is consumed, the corresponding digital credits are permanently retired in direct proportion to physical energy dissipation, creating an auditable one-to-one mapping between urban consumption and carbon accounting. Deployed across heterogeneous city nodes, the prototype demonstrates resilience against data injection attacks while lowering capital barriers for community-level solar expansion. Beyond energy, the framework offers a general model for coordinating economic activity with physical law in any domain where distributed infrastructure demands both data integrity and sustainable investment. We release the data and code as open-access on GitHub.