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Semantic Data Model for Energy Efficient Integration of Data Centres in Energy Grids
| Content Provider | Scilit |
|---|---|
| Author | Anghel, Ionut Cioara, Tudor Pop, Claudia Antal, Marcel |
| Copyright Year | 2021 |
| Description | Data Centres are large consumers of energy and as the complexity of their applications increases energy awareness and data-driven optimization tools are needed to improve the energy efficiency by enacting their coordinated operation and optimal integration within the smart energy grids. We have proposed a semantically enhanced data model for representing the energy efficiency of DCs operation, with a view of enabling the usage of data analytics and semantic reasoning techniques to infer and assess the efficiency of their operation. The DCs are modelled as an energy player as the crossroad of various utility lines providing a common unified vocabulary for optimizing their integration within the smart energy grid by leveraging on shifting of potential thermal and electrical energy flexibility to meet grid level defined objectives. The data model had been integrated and validated into a flexibility optimization engine providing the inference support for taking decisions. The semantic model had been proven to be effective in supporting the implementation of various data driven operations such as the modelling of DC and smart energy grid interaction, the semantic annotation of DC energy monitored data and the inference of DC operation efficiency. Book Name: Data Science and Big Data Analytics in Smart Environments |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9780367814397-3&type=chapterpdf |
| Ending Page | 71 |
| Page Count | 25 |
| Starting Page | 47 |
| DOI | 10.1201/9780367814397-3 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-06-28 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Data Science and Big Data Analytics in Smart Environments Industrial Engineering Optimization Energy Efficiency Smart Energy Grid Data Model Data Driven |
| Content Type | Text |
| Resource Type | Chapter |