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Asset logging in the energy sector: a scalable blockchain-based data platform
Energy Informatics Pub Date : 2021-09-13 , DOI: 10.1186/s42162-021-00183-3
Alexander Djamali 1 , Patrick Dossow 1 , Michael Hinterstocker 1 , Benjamin Schellinger 2, 3, 4 , Johannes Sedlmeir 2, 3, 4 , Fabiane Völter 2, 3, 4 , Lukas Willburger 2, 3, 5
Affiliation  

Due to a steeply growing number of energy assets, the increasingly decentralized and segmented energy sector fuels the potential for new digital use cases. In this paper, we focus our attention on the application field of asset logging, which addresses the collection, documentation, and usage of relevant asset data for direct or later verification. We identified a number of promising use cases that so far have not been implemented; supposedly due to the lack of a suitable technical infrastructure. Besides the high degree of complexity associated with various stakeholders and the diversity of assets involved, the main challenge we found in asset logging use cases is to guarantee the tamper-resistance and integrity of the stored data while meeting scalability, addressing cost requirements, and protecting sensitive data. Against this backdrop, we present a blockchain-based platform and argue that it can meet all identified requirements. Our proposed technical solution hierarchically aggregates data in Merkle trees and leverages Merkle proofs for the efficient and privacy-preserving verification of data integrity, thereby ensuring scalability even for highly frequent data logging. By connecting all stakeholders and assets involved on the platform through bilateral and authenticated communication channels and adding a blockchain as a shared foundation of trust, we implement a wide range of asset logging use cases and provide the basis for leveraging platform effects in future use cases that build on verifiable data. Along with the technical aspects of our solution, we discuss the challenges of its practical implementation in the energy sector and the next steps for testing in a regulatory sandbox approach.

中文翻译:

能源领域的资产记录:基于区块链的可扩展数据平台

由于能源资产数量急剧增加,日益分散和细分的能源部门为新的数字用例提供了潜力。在本文中,我们将注意力集中在资产日志的应用领域,该领域涉及相关资产数据的收集、记录和使用,以进行直接或后期验证。我们确定了一些迄今为止尚未实施的有前景的用例;据说是因为缺乏合适的技术基础设施。除了与各种利益相关者相关的高度复杂性和所涉及资产的多样性之外,我们在资产日志用例中发现的主要挑战是在满足可扩展性、解决成本要求和保护存储数据的同时保证存储数据的防篡改和完整性敏感数据。在这样的背景下,我们提出了一个基于区块链的平台,并认为它可以满足所有确定的要求。我们提出的技术解决方案在 Merkle 树中分层聚合数据,并利用 Merkle 证明对数据完整性进行高效且保护隐私的验证,从而确保即使对于高度频繁的数据记录也具有可扩展性。通过双边和经过身份验证的通信渠道连接平台上涉及的所有利益相关者和资产,并添加区块链作为共享的信任基础,我们实施了广泛的资产日志用例,并为在未来用例中利用平台效应提供了基础建立在可验证的数据上。除了我们解决方案的技术方面,
更新日期:2021-09-13
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