Carbon markets, particularly emission trading schemes (ETS) and carbon offset projects, are significant mechanisms in climate change mitigation. However, there are still a number of unresolved issues regarding their attractiveness and efficient functioning. Blockchain, as the core of “3D’s concept” (including decentralization, decarbonization and digitalization), could be considered as a candidate solution for carbon markets’ improvement. A systematic literature review was conducted to identify the role of blockchain in ETS and carbon offset projects, its key features, implementation challenges and proposed applications, by analyzing and discussing the content of relevant studies, and grouping the results into domains. This study’s findings show that blockchain has great potential to be adopted in carbon markets. However, there is no data on blockchain use cases in energy efficiency, chemical processes and industrial manufacturing, waste disposal, and agriculture. Blockchain-based household and transportation carbon offset projects are linked to renewables through energy trading. Renewables and forestry are the most appropriate domains for blockchain adoption, considering various criteria of quality for carbon offset projects. Blockchain is currently immature in carbon markets because of its own drawbacks and challenges. This study also highlights research gaps and offers research directions to inspire researchers for conducting related investigations.

/pdf/blockchains-scope-and-purpose-in-carbon-markets-a-systematic-506xh9bo.pdf

Blockchain’s Scope and Purpose in Carbon Markets: A Systematic Literature Review

Blockchain technology (BCT) enables the automated execution of smart contracts in peer-to-peer (P2P) energy trading. BCT-based P2P platforms allow the sharing, exchange and trade of energy among consumers or prosumers as peers, fostering the decarbonization, decentralization and digitalization of the energy industry. On the other hand, BCT-based P2P energy trading relies on the collection, storage and processing of a large amount of user data, posing interdisciplinary challenges, including user anonymity, privacy, the governance of BCT systems and the role of energy market players. First, this paper seeks to review the state of the art of European data protection law and regulations by focusing on BCT compliance with the General Data Protection Regulation (GDPR) of 2018. Second, it explores both the potentials and the challenges of BCT-based P2P energy trading from a legal–economic perspective. To do so, the paper adopts an interdisciplinary approach which intertwines both law and economics, by reviewing the recent literature on BCT and P2P energy trading. Findings have revealed that the deployment of BCT-based P2P energy trading is still in its pilot stage because of technology immaturity, data protection uncertainty, incomplete disintermediation and the lack of both user awareness and collaboration among market players. Drawing on the review, the paper also proposes a selection of solutions to foster the implementation of BCT-based P2P energy trading.

/pdf/blockchain-data-protection-and-p2p-energy-trading-a-review-1ivmf4hi.pdf

Blockchain, Data Protection and P2P Energy Trading: A Review on Legal and Economic Challenges

Starting from the EU vision for Energy Communities (EC), our purpose is to support them by proposing a Digital Twin (DT) that includes a bi-level optimization model to deliver coordination, economic, social, and environmental benefits to its members that can be quantified as Key Performance Indicators (KPI). The diversity of EC members from the size and interest perspectives leads us to consider a bi-level optimization model. It offers support to individual consumers/prosumers (first level) and coordination for EC (second level). This model is embedded into a DT that replicates the EC and the operation of individual entities such as consumers/prosumers and public assets. The DT is created as an automatic assistant with two components: iEMS – as a member's assistant and eEMS – as an EC assistant. These components optimize the schedule, generate bids for the Local Electricity Market (LEM) and control the flexible appliances of the participants to deal with deficits and surpluses. The DT receives input from EC members, LEM, metering system and improves the operation of the EC in a two-way continuous exchange data flow. Furthermore, it is a reliable framework to test and improve models, regulations and policies in emergent EC as DT provides alternatives regarding its functionalities: optimization, market operation, setting the clearing price, settlement, value sharing for distributing benefits, etc. It can be extended to support grid operators to design tariffs, testing regulation and offer additional energy services. The proposed DT model is tested within an EC case study, both on a seasonal and an annual basis. The average trading index on LEM is 0.6 during the summer and 0.3 during the winter months, while the Degree of Local Sufficiency (DLS) for the EC is 0.45 in summer and 0.28 in winter. Moreover, the proposed LFM model reduces the exchanges with the main grid by an average of 45 kW in summer, that represents almost 15% of the average exchange at peak hours. 

Enabling coordination in energy communities: A Digital Twin model

A measurement model for electricity Consumers’ awareness with covariance structure Analyses. A solid pillar for boosting demand response programs

Defining characteristics of peer-to-peer energy trading, transactive energy, and community self-consumption: A review of literature and expert perspectives

Electricity generation is decentralising quickly. Simultaneously, final energy use for residential customers electrifies in order to reduce carbon dioxide emissions. Together with ubiquitous digita...

https://www.icevirtuallibrary.com/doi/pdf/10.1680/jsmic.20.00013

Digitalised, decentralised power infrastructures challenge blockchains

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Digitalised, decentralised power infrastructures challenge blockchains