PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 7, 2026Next Energy1 citationsOpen Access

A hybrid blockchain–AI–IoT framework for low-cost digital MRV in sustainable bioethanol supply chains

View Full Paper
INInsaf NoriKKKaoutar KhallakiSTSalah Touil

Key Points

  • The aim is to develop a digital traceability framework that minimizes costs and ensures compliance in bioethanol supply chains.
  • Integrated a 200-stakeholder international survey to inform the framework design.
  • Conducted controlled blockchain simulations and smart-contract benchmarking.
  • Employed Monte Carlo financial modeling for economic analysis.
  • Achieved 1960 transactions per second with sub-second finality and 12-million-gas savings through contract optimization.
  • Demonstrated a mean return on investment of 20% and net present value of approximately USD 71,000.
  • Enabled RED II and CORSIA compliance with real-time emission verification in renewable fuel supply chains.

Abstract

This study develops a cost-effective digital traceability framework for bioethanol supply chains, addressing compliance challenges faced by small and medium enterprises (SMEs) under the Renewable Energy Directive II (RED II) and Carbon Offsetting and Reduction Scheme for International Aviation. A hybrid Blockchain–Artificial Intelligence (AI)–Internet of Things (IoT) architecture minimizes energy consumption through an optimized Proof-of-Stake and Practical Byzantine Fault Tolerance consensus mechanism. The research integrates a 200-stakeholder international survey, controlled blockchain simulations, smart-contract benchmarking, and Monte Carlo financial modeling. Performance evaluation in a controlled simulation environment demonstrated 1960 transactions per second with sub-second finality, 12-million-gas savings through contract optimization, and compliance latency below 2.1 s. Economic analysis yielded a mean return on investment of 20%, five-year net present value of approximately USD 71,000, and payback within five years in 50% of scenarios. All results derive from reproducible simulations and anonymized data, providing an upper-bound performance envelope prior to field deployment and positioning the framework within emerging hybrid blockchain–AI–IoT monitoring, reporting, and verification systems by explicitly addressing cost realism, readiness heterogeneity, and disruption resilience for SMEs. The framework offers a scalable, energy-efficient pathway for digital compliance in sustainable fuel certification. • Hybrid Blockchain-AI-IoT framework reduces bioethanol certification energy consumption by >99.999% at 1960 TPS • Gas-optimized smart contracts cut computational costs by 57% vs. traditional Proof-of-Work systems. • Economic modeling confirms SME viability: 20% ROI, USD 71,400 NPV, payback within 5 years in 49% of scenarios. • Framework enables RED II and CORSIA compliance with real-time emission verification in renewable fuel supply chains. • International validation across 200 stakeholders in Africa, Asia, EU, and North America demonstrating global scalability.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Nori et al. (2026) studied this question.

synapsesocial.com/papers/69fc2ba98b49bacb8b347aafhttps://doi.org/10.1016/j.nxener.2026.100640
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Blockchain-based carbon emission security accounting scheme2024 · 16 citations
  2. 2Sustainable Optimizing Performance and Energy Efficiency in Proof of Work Blockchain: A Multilinear Regression Approach2024 · 31 citations
  3. 3Digital Transformation of Micro, Small and Medium Enterprises (MSMEs): Drivers, Barriers, and Strategic Implications for Sustainable Growth2025 · 2 citations
  4. 4Digital Credit and Debt Traps: Behavioral and Socio-Cultural Drivers of FinTech Indebtedness in Emerging Economies2025 · 1 citations
  5. 5Digital Transformation Drivers, Technologies, and Pathways in Agricultural Product Supply Chains: A Comprehensive Literature Review2025 · 17 citations