[Paper Review] Optimizing Blockchain Based Smart Grid Auctions: A Green Revolution

Muneeb Ul Hassan, Mubashir Husain Rehmani+1 more|arXiv (Cornell University)|Feb 4, 2021

Blockchain Technology Applications and Security45 references4 citations

TL;DR

This paper proposes a green, computationally efficient framework for blockchain-based smart grid energy auctions to address resource scarcity in decentralized energy trading. It analyzes design requirements, surveys existing green auction mechanisms, and identifies key challenges and future research directions—particularly in energy harvesting, AI integration, and privacy preservation—toward sustainable, scalable blockchain energy markets.

ABSTRACT

Traditional smart grid energy auctions cannot directly be integrated in blockchain due to its decentralized nature. Therefore, research works are being carried out to propose efficient decentralized auctions for energy trading. Since, blockchain is a novel paradigm which ensures trust, but it also comes up with a curse of high computation and communication complexity which eventually causes resource scarcity. Therefore, there is a need to develop and encourage development of greener and computational-friendly auctions to carry out decentralized energy trading. In this paper, we first provide a thorough motivation of decentralized auctions over traditional auctions. Afterwards, we provide in-depth design requirements that can be taken into consideration while developing such auctions. After that, we analyze technical works that have developed blockchain based energy auctions from green perspective. Finally, we summarize the article by providing challenges and possible future research directions of blockchain based energy auction from green viewpoint.

Motivation & Objective

• Address the high computational and communication overhead of blockchain in decentralized energy auctions, which limits scalability and sustainability.
• Identify design requirements for green, computationally efficient auctions in blockchain-based smart grids.
• Survey existing technical works on blockchain-based energy auctions from a green perspective to highlight gaps and improvements.
• Outline key challenges and future research directions for developing energy-efficient, privacy-preserving, and scalable auction mechanisms in blockchain-enabled smart grids.

Proposed method

• Conduct a comprehensive survey of existing blockchain-based energy auction systems, focusing on their green design aspects and resource efficiency.
• Analyze the trade-offs between different auction types—such as double, Vickrey, and first-price auctions—under blockchain constraints to identify computationally lighter alternatives.
• Propose design requirements for green auctions, emphasizing low-computation consensus, efficient data storage, and energy-aware node operation.
• Integrate emerging technologies like energy harvesting, AI/ML for lightweight prediction, and cognitive radio for reduced communication overhead.
• Examine privacy-preserving techniques to mitigate risks from blockchain’s transparent ledger while maintaining trust.
• Explore integration of electric vehicles (EVs) as mobile, energy-harvesting nodes in green auction ecosystems to enhance decentralization and sustainability.

Experimental results

Research questions

• RQ1 What are the key design requirements for developing green, computationally efficient blockchain-based energy auctions in smart grids?
• RQ2 How do existing blockchain-based energy auction mechanisms perform in terms of energy efficiency and resource utilization?
• RQ3 What role can energy harvesting technologies play in powering blockchain nodes for sustainable decentralized energy trading?
• RQ4 How can lightweight AI/ML models be integrated into blockchain-based auctions to reduce computational overhead?
• RQ5 What privacy-preserving mechanisms are needed to secure transaction data without compromising transparency in green blockchain energy auctions?

Key findings

• Traditional centralized energy auctions lack trust and scalability, while blockchain-based alternatives face high computational and communication costs, leading to resource scarcity in smart grid applications.
• Existing blockchain-based energy auctions often neglect green design principles, resulting in excessive energy consumption and limited deployment on resource-constrained devices like smart meters.
• Vickrey and double auction mechanisms show potential for green deployment when optimized for low-computation environments, especially in energy-constrained nodes.
• Energy harvesting devices capable of supporting blockchain consensus are currently underdeveloped and require dedicated research for integration into decentralized energy networks.
• Integrating AI/ML into blockchain auctions is feasible only if models are lightweight and trained on selective ledger data to minimize computational load.
• Privacy-preserving techniques such as differential privacy and zero-knowledge proofs remain underexplored in green blockchain energy auctions, representing a critical research gap.