论文标题
本地能源系统的数据模型,收集和评估框架
Data Model, Collection and Evaluation Framework for Local Energy Systems
论文作者
论文摘要
分布式分类帐是一种新型的数据库技术,可以开放访问分布式,分散,公开维护的基础架构的数据。此类分类帐的当前实施期望参与者之间的竞争,通常是饥饿的能量,在保持数据的自然结构和受到可伸缩性约束方面的差异。我的研究工作的目的是开发基于分布式分类帐的中间件,以进行数据建模和收集家庭能源的产生和使用,同时解决该特定应用程序域的分类帐的可扩展性和效率低下的问题。通过此中间件收集和提供的能源数据将用于数字能源服务交付(例如,自动化对等能量交易,拓扑估算等)。中间件还为以消费者为中心的数字能源服务提供以及服务模型评估提供了一个平台。模型评估将使潜在的服务用户能够在决定订阅之前评估给定服务的适用性。
Distributed ledgers are a new type of database technology that allows open access to data stored across distributed, decentralised, publicly maintained infrastructures. Current implementations of the such ledgers expect competition between participants, are often energy hungry, poor in maintaining the natural structure of data and suffer from scalability constraints. The aim of my research work is to develop a distributed ledger-based middleware for data modelling and collection on household energy generation and use, while addressing scalability and energy inefficiency concerns of the ledger for this particular application domain. The energy data collected and made available through this middleware will be used for digital energy service delivery (e.g., automated peer to peer energy trading, topological estimations, etc.). The middleware also provides a platform for a consumer focused digital energy service delivery, as well as service model evaluation. The model evaluation will enable the prospective service users to evaluate the suitability of the given service for their needs before making a decision of service subscription.