Prosumers are active participants in future energy systems who produce and consume energy. However, the emerging role of prosumers brings challenges of tracing carbon emissions behaviours and formulating pricing scheme targeting on individual prosumption behaviours. This paper proposes a novel blockchain-based peer-to-peer trading framework to trade energy and carbon allowance. The bidding/selling prices of prosumers can directly incentivise the reshaping of prosumption behaviours to achieve regional energy balance and carbon emissions mitigation. A decentralised low carbon incentive mechanism is formulated targeting on specific prosumption behaviours. Case studies using the modified IEEE 37-bus test feeder show that the proposed trading framework can export 0.99kWh of daily energy and save 1465.90g daily carbon emissions, outperforming the existing centralised trading and aggregator-based trading.

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Climate change enforces the integration of distributed renewable energy sources and development of carbon price scheme. Whilst the energy is traded among distributed prosumers, the carbon responsibilities and corresponding allowances trading need to be transferred from large-scale energy suppliers to prosumers. During this transformation, the issues of energy imbalance, carbon reduction imbalance, and residential privacy leakage in centralised trading market present serious challenges. In this paper, we propose a fully decentralised blockchain-based peer-to-peer trading scheme coupling energy and carbon markets. We implement pay-to-public-key-hash with multiple signatures as a transaction standard to realise a more secure transaction and reduced storage burden of senders. A script is hashed during the wallet address generation for each new transaction to protect residential privacy. A novel carbon accounting method and corresponding incentive mechanism for carbon reduction are designed to evaluate emission behaviours of distributed prosumers. Case studies demonstrate that the proposed scheme leads a reduced costs and carbon emissions compared to centralised trading systems and existing blockchainbased trading schemes. Index Terms-blockchain, decentralized energy trading, low carbon, distributed energy sources, smart grids.

Excessive carbon emissions have posed a threat to sustainable development. An appropriate market-based low carbon policy becomes the essence of regulating strategy for reducing carbon emissions in the energy sector. This study proposes a Stackelberg game-theoretic model to determine an optimal low carbon policy design in energy market. To encourage fuel switching to low-carbon generating sources, the effects of varying carbon price on generator's profit are evaluated. Meanwhile, to reduce carbon emissions caused by energy consumption, carbon tracing and billing incentive methods for consumers are proposed. The efficiency of low carbon policy is ensured through maximising social welfare and the overall carbon reductions from economic and environmental perspectives. A bi-level multiobjective optimisation immune algorithm is designed to dynamically find optimal policy decisions in the leader level, and optimal generation and consumption decisions in the followers level. Case studies demonstrate that the designed model leads to better carbon mitigation and social welfare in the energy market. The proposed methodology can save up to 26.41% of carbon emissions from the consumption side for the UK power sector and promote 31.45% of more electricity generation from renewable energy sources.

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