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Revolutionizing Renewable Energy Markets: A Cross-Chain, Encrypted NFT, and IPFS Decentralized Trading Framework

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Energy Informatics (EI.A 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15272))

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Abstract

This paper explores the integration of blockchain technology, smart contracts, encrypted Non-Fungible Tokens (NFTs), and the InterPlanetary File System (IPFS) to enhance the management of renewable energy transactions. Leveraging the decentralized, immutable, and transparent nature of blockchain, we aim to address the challenges of data security, accessibility, and integrity in renewable energy trading. Our framework employs various encryption algorithms-RSA, RC4, DES, ChaCha20, Blowfish, and AES-to secure energy transaction records, ensuring that only authorized users can access them. The system’s performance was evaluated across four EVM-compatible blockchain platforms: Binance Smart Chain, Polygon, Fantom, and Celo. Key functions such as recording energy data, creating and transferring encrypted NFTs were assessed to provide insights into operational speed, resource efficiency, and overall reliability. Additionally, transaction costs were analyzed to identify potential cost savings and improve efficiency. Our study highlights the potential of these integrated technologies to create a secure and practical system for managing renewable energy transactions.

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Notes

  1. 1.

    https://github.com/bnb-chain/whitepaper/blob/master/WHITEPAPER.md.

  2. 2.

    https://polygon.technology/lightpaper-polygon.pdf.

  3. 3.

    https://whitepaper.io/document/438/fantom-whitepaper.

  4. 4.

    https://celo.org/papers/whitepaper.

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Correspondence to Hong Vo Khanh .

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Khanh, H.V. et al. (2025). Revolutionizing Renewable Energy Markets: A Cross-Chain, Encrypted NFT, and IPFS Decentralized Trading Framework. In: Jørgensen, B.N., Ma, Z.G., Wijaya, F.D., Irnawan, R., Sarjiya, S. (eds) Energy Informatics. EI.A 2024. Lecture Notes in Computer Science, vol 15272. Springer, Cham. https://doi.org/10.1007/978-3-031-74741-0_8

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  • DOI: https://doi.org/10.1007/978-3-031-74741-0_8

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