ENHANCING SCALABILITY AND SUSTAINABILITY IN ENERGY AND CARBON MARKETS: A QUANTITATIVE ANALYSIS OF THE ALGORAND-BLOCKCHAIN IN P2P TRADING FRAMEWORK
1 Faculty of Computer Science and Information Technology, Bayero University Kano, P.M.B. 3011, Kano City, Nigeria.
2 Department of Computer Science, Faculty of Computer Science and Information Technology, Bayero University Kano, P.M.B. 3011, Kano City, Nigeria.
* Corresponding author: faisalyazid67@gmail.com
2 Department of Computer Science, Faculty of Computer Science and Information Technology, Bayero University Kano, P.M.B. 3011, Kano City, Nigeria.
* Corresponding author: faisalyazid67@gmail.com
Abstract
Local energy and carbon markets created on private or legacy blockchains suffer from limited
throughput, high costs, and fragmented settlement, hindering the expansion of household-level
peer-to-peer (P2P) trade. This study investigates whether a public, high-throughput blockchain
can support real-time, cooperative carbon and energy trade at the local level. The "blockchain
trilemma," a three-way trade-off among decentralization, security, and transaction throughput,
inhibits reliable, affordable trading until transaction volumes reach the scale of hundreds of
smart meters. This raises the question of whether an automated auction contract, in conjunction
with a Pure Proof-of-Stake public ledger, can eliminate this barrier and enforce carbon
allowance compliance. This study integrates real-time carbon validation and physical power
transfer into a single Algorand smart contract, unlike previous research that treated energy and
carbon-credit trading separately. Using the same feeder model, it compares results against both
non-blockchain and traditional blockchain benchmarks. A standardized three (3)-layer
architecture comprises the Algorand ledger, prosumer/microgrid transaction logic, and a timescheduled dual-auction smart contract in PyTEAL. The architecture was simulated in MATLAB
R2021a on a modified IEEE 37-bus feeder with five microgrids. The simulation used UK
residential demand (EFERGY) and solar/wind generation profiles over a 24-hour, 48-slot
period. The proposed framework achieved a daily energy balance of 0.99 kWh, reduced carbon
emissions by 1,485.90 g/day, and supported over 1,000 transactions per second with sub-5-
second latency and micro-cent costs. It combines Algorand's Pure Proof-of-Stake with a carbonaware double-auction contract to enhance P2P energy trading.
Keywords
Algorand
blockchain
carbon allowance trading
decentralization
double-auction smart contract
peer-to-peer energy trading
Pure Proof-of-Stake
scalability.
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How to Cite
Yazid, F. L., & Yahaya, A. S. (2026). ENHANCING SCALABILITY AND SUSTAINABILITY IN ENERGY AND CARBON MARKETS: A QUANTITATIVE ANALYSIS OF THE ALGORAND-BLOCKCHAIN IN P2P TRADING FRAMEWORK. Bayero Business Review, 10(1), 23-36. https://doi.org/10.67894/bbr.2026.npi8odgu
F. L. Yazid, and A. S. Yahaya, "ENHANCING SCALABILITY AND SUSTAINABILITY IN ENERGY AND CARBON MARKETS: A QUANTITATIVE ANALYSIS OF THE ALGORAND-BLOCKCHAIN IN P2P TRADING FRAMEWORK," Bayero Business Review, vol. 10, no. 1, pp. 23-36, June 2026. doi: 10.67894/bbr.2026.npi8odgu