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SolarChain: Bridging Physical Law, Verifiable Trust, and Sustainable Markets for Urban Energy Resilience

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Listed:
  • Shilin Ou
  • Yifan Xu
  • Zhenshan Zhang
  • Luyao Zhang
  • Ming-Chun Huang

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.

Suggested Citation

  • Shilin Ou & Yifan Xu & Zhenshan Zhang & Luyao Zhang & Ming-Chun Huang, 2026. "SolarChain: Bridging Physical Law, Verifiable Trust, and Sustainable Markets for Urban Energy Resilience," Papers 2605.23162, arXiv.org.
  • Handle: RePEc:arx:papers:2605.23162
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    References listed on IDEAS

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    1. Lazar Gitelman & Mikhail Kozhevnikov, 2023. "New Business Models in the Energy Sector in the Context of Revolutionary Transformations," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    2. Mohamed G. Moh Almihat & Josiah L. Munda, 2025. "The Role of Smart Grid Technologies in Urban and Sustainable Energy Planning," Energies, MDPI, vol. 18(7), pages 1-30, March.
    3. Alain Aoun & Mehdi Adda & Adrian Ilinca & Mazen Ghandour & Hussein Ibrahim, 2024. "Centralized vs. Decentralized Electric Grid Resilience Analysis Using Leontief’s Input–Output Model," Energies, MDPI, vol. 17(6), pages 1-21, March.
    4. Tian Li & Zhuosen Wang & Christopher C. M. Kyba & Miguel O. Román & Karen C. Seto & Yun Yang & Shi Qiu & Theres Kuester & Michail Fragkias & Xiang Chen & Thomas H. Meyer & Chadwick D. Rittenhouse & Xi, 2026. "Satellite imagery reveals increasing volatility in human night-time activity," Nature, Nature, vol. 652(8109), pages 379-386, April.
    5. Huang, Chung-Ting & Scott, Ian J., 2024. "Peer-to-peer multi-period energy market with flexible scheduling on a scalable and cost-effective blockchain," Applied Energy, Elsevier, vol. 367(C).
    6. Shengcheng Fu & Yaxin Tan & Zhiyu Xu, 2023. "Blockchain-Based Renewable Energy Certificate Trade for Low-Carbon Community of Active Energy Agents," Sustainability, MDPI, vol. 15(23), pages 1-22, November.
    7. Juhar Abdella & Khaled Shuaib, 2018. "Peer to Peer Distributed Energy Trading in Smart Grids: A Survey," Energies, MDPI, vol. 11(6), pages 1-22, June.
    8. Lin William Cong & Ye Li & Neng Wang, 2021. "Tokenomics: Dynamic Adoption and Valuation [The demand of liquid assets with uncertain lumpy expenditures]," The Review of Financial Studies, Society for Financial Studies, vol. 34(3), pages 1105-1155.
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