WindChain: Physics-Constrained Blockchain Attestation of Wind-Resource Provenance for Verifiable Renewable Energy Certificates in Smart Cities

Smart-city energy platforms—peer-to-peer markets and tokenized renewable energy certificates—settle against metered generation, yet never check the physical plausibility of those claims. For wind, attainable energy is not measured but derived from anemometry through a vertical extrapolation whose exponent—the wind-shear coefficient—is a discretionary modeling choice. Using a five-height, 52,192-record campaign from Phangan Island, Thailand—reproduced here as a statistically anchored reconstruction, the raw archive not being redistributable—we show that the conventional 1/7 rule understates attainable energy by 29.8%, and that an adversary asserting the exponent could inflate a resource claim by 87.4%. WindChain sits beneath the smart-city transactive layer rather than beside it: it does not mint certificates from wind data but bounds what a revenue meter may claim. It enforces boundary-layer, kinematic, and thermodynamic admissibility as a consensus predicate and commits wind statistics to a hierarchical Merkle–Weibull accumulator whose 104-byte root lets any verifier recompute the Weibull parameters, power density, and shear exponent in constant time. We prove that an epoch-level admissibility gate bounds over-issuance, and that attestation windows must be thirty-six times longer than independence assumes. On the reconstruction, WindChain detects six of eight manipulation classes—four of them with recall ≥0.99—at a 1.75% false-positive rate; we also report a camouflage regime defeating every per-record test, and a sustained bias at or below 2.6% that the epoch detector does not see. Consensus performance is modeled, not deployed. WindChain narrows the trust boundary rather than removing it: the guarantee is conditional on an independently certified site reference and on physical calibration of the mast and is best read as an auditable plausibility layer beneath settlement rather than as a trustless one.

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Publication Details

Journal
Smart Cities
Published
2026-09-07
DOI
https://doi.org/10.3390/smartcities9090148
Primary Topic
Smart Grid Security and Resilience
Type
article
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article

WindChain: Physics-Constrained Blockchain Attestation of Wind-Resource Provenance for Verifiable Renewable Energy Certificates in Smart Cities

Warodom Werapun, Warit Werapun
Smart Cities
Smart Grid Security and Resilience
article

WindChain: Physics-Constrained Blockchain Attestation of Wind-Resource Provenance for Verifiable Renewable Energy Certificates in Smart Cities

Warodom Werapun, Warit Werapun
article en

Abstract

Smart-city energy platforms—peer-to-peer markets and tokenized renewable energy certificates—settle against metered generation, yet never check the physical plausibility of those claims. For wind, attainable energy is not measured but derived from anemometry through a vertical extrapolation whose exponent—the wind-shear coefficient—is a discretionary modeling choice. Using a five-height, 52,192-record campaign from Phangan Island, Thailand—reproduced here as a statistically anchored reconstruction, the raw archive not being redistributable—we show that the conventional 1/7 rule understates attainable energy by 29.8%, and that an adversary asserting the exponent could inflate a resource claim by 87.4%. WindChain sits beneath the smart-city transactive layer rather than beside it: it does not mint certificates from wind data but bounds what a revenue meter may claim. It enforces boundary-layer, kinematic, and thermodynamic admissibility as a consensus predicate and commits wind statistics to a hierarchical Merkle–Weibull accumulator whose 104-byte root lets any verifier recompute the Weibull parameters, power density, and shear exponent in constant time. We prove that an epoch-level admissibility gate bounds over-issuance, and that attestation windows must be thirty-six times longer than independence assumes. On the reconstruction, WindChain detects six of eight manipulation classes—four of them with recall ≥0.99—at a 1.75% false-positive rate; we also report a camouflage regime defeating every per-record test, and a sustained bias at or below 2.6% that the epoch detector does not see. Consensus performance is modeled, not deployed. WindChain narrows the trust boundary rather than removing it: the guarantee is conditional on an independently certified site reference and on physical calibration of the mast and is best read as an auditable plausibility layer beneath settlement rather than as a trustless one.

Smart CitiesVol. 9(9)
Prince of Songkla University (TH), Phuket Rajabhat University (TH)
Openalex Percentile: Top 14%
Smart Grid Security and Resilience
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WindChain: Physics-Constrained Blockchain Attestation of Wind-Resource Provenance for Verifiable Renewable Energy Certificates in Smart Cities — Warodom Werapun, Warit Werapun · Smart Cities (2026) | TGRS Research Map | TGRS