持続可能なブロックチェーン評価のためのエネルギー・炭素フットプリントモデリングを備えたBlockSimの拡張
Extending BlockSim with energy and carbon footprint modeling for sustainable blockchain evaluation (原題)
Raed S. Rasheed, Aiman A. Abusamra
🤖 gxceed AI 要約
日本語
本論文は、ブロックチェーンシミュレータBlockSimを拡張し、イベント駆動モデルにエネルギー消費と炭素排出の指標を統合する。ノード・ネットワークレベルで計算・通信エネルギーを推定し、排出係数を用いてCO2排出量に換算する。PoWとPoSのコンセンサスシナリオで実験し、ブロック・トランザクションあたりの指標を提供する。
English
This paper extends the BlockSim blockchain simulator with energy consumption and carbon footprint metrics integrated into its event-driven model. It estimates computational and communication energy at node and network levels, converting electricity to CO2 emissions via configurable emission factors. Experiments on PoW and PoS scenarios provide per-block and per-transaction indicators for sustainability-aware what-if analysis.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、ブロックチェーン技術の環境負荷が注目されており、本ツールは企業や研究者が持続可能性を考慮したプロトコル選択を行う際の予備評価に有用。特に、カーボンニュートラル宣言を行う企業にとって、技術選定の初期段階での環境影響評価に貢献する。
In the global GX context
Globally, blockchain's energy consumption is a growing concern, and this tool enables sustainability-aware evaluation of consensus protocols. It supports the broader GX agenda by providing a reproducible framework for assessing carbon footprints in blockchain systems, relevant for ESG reporting and green IT initiatives.
👥 読者別の含意
🔬研究者:Provides a simulation framework for comparing energy and carbon impacts of blockchain protocols, useful for sustainable computing research.
🏢実務担当者:Can be used to evaluate blockchain solutions' environmental impact before deployment, aiding in green IT decisions.
🏛政策担当者:Offers insights into blockchain energy consumption, potentially informing regulations or incentives for sustainable blockchain adoption.
📄 Abstract（原文）
This paper extends BlockSim by introducing energy-consumption and carbon-footprint metrics that are tightly integrated with its event-driven execution model, enabling sustainability-aware evaluation alongside conventional performance metrics. The proposed extension instruments core simulation events to estimate computational and communication energy at both node and network levels, then converts electricity demand to CO 2 emissions using an emission-factor formulation that can be configured to represent different grid carbon intensities. Using the extended simulator, controlled experiments are conducted on representative PoW and PoS consensus scenarios under varying miner populations and workloads. The framework reports aggregate energy and CO 2 , as well as normalized indicators per block and per transaction, supporting reproducible “what-if” analysis without external post-processing and enabling direct comparison of protocol configurations as networks scale. The framework additionally distinguishes economically driven Proof-of-Work (PoW) energy consumption, in which the expected mining reward and cryptocurrency price are explicit inputs, from validator-count-driven Proof-of-Stake (PoS) energy consumption; it varies the carbon emission factor across grid scenarios; and it is positioned as a scenario-based evaluation tool for preliminary what-if analysis rather than a precise real-world energy estimator.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fbloc.2026.1804830first seen 2026-08-23 04:51:37
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