This analysis quantifies energy use and emissions in timber supply chains using blockchain technologies, indicating significant performance differences among consensus mechanisms.
This study quantifies the energy use, carbon dioxide equivalent (CO 2 e) emissions, and transaction-related costs of distributed ledger technologies (DLTs) in the context of timber traceability. It combines: (i) a PRISMA-guided systematic review of empirical studies on DLT energy consumption; and (ii) benchmark values derived from continuously updated online monitoring sources, captured at defined access dates and fully documented in the . Comparable metrics are reported at the level of individual traceability events (kWh/tx, gCO 2 e/tx, and USD/tx) and are related to a realistic timber supply chain transaction model that was empirically validated in a pilot study. The results reveal substantial differences in sustainability performance across consensus mechanisms. Proof-of-Work (PoW) networks exhibit prohibitively high energy demand and CO 2 e emissions for frequent traceability notarizations. In contrast, Proof-of-Stake (PoS), PBFT-based, hybrid, and Directed Acyclic Graph (DAG) architectures enable low-energy and low-cost event logging. This study bridges the gap between established DLT sustainability research and the operational requirements of regulated forestry traceability by providing a transparent and reproducible benchmarking workflow that includes URLs, access dates and calculation spreadsheets.
No takes yet. Share an insight, caveat, or question.
Stopfer et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: