On this page we would like to show you which results in our project have been delivered:
| Key Exploitable Results | Potential Users | Benefits for Users |
|---|---|---|
| Knowledge models for microgrids. | Energy and renewable generation utilities. Start-up ecosystem for new renewable energy solutions. | Shared models to develop new data driven solution and provide to internal and external ecosystem; Standardised data and function description; Data Governance. |
| Knowledge models for smart buildings. | Smart buildings owners. | Shared models to develop new data driven solution and provide to internal and external ecosystem; Standardised data and function description; Data Governance. |
| Scalable technological brick for Big Semantic Data Platform. | Business units in B2B, B2X, B2T. | Use high end semantic technological bricks in final end user solution. Developed PLATOON Platform will provide specific digital tools based custom expectation from Business Client. |
| Electronic device embedding edge computing and real time processing capabilities. | Renewable energy users and owners of energy intensive equipment. | Reduction of decision-making time. Optimization of data transmission by pre-processing and filtering raw data at the edge. |
| Analytics toolbox implementing machine learning functions. | Energy experts. | Modular data analytics tools that require very little knowledge about data science and programming. |
| ICT connectors following the reference architecture standards dealing with the data governance aspects in between the data owner and the analytic solutions provider. | Data owners and solutions providers in the energy sector. | Secure data sharing among the stakeholders. Data policies made explicit and compliance assured. GDPR compliance improved. |
| Standards based data marketplace solution. | Data owners and solutions providers in the energy sector. | Monetisation of the shared data. |
| Reference architecture implementation. | Energy and related utilities for large scale data handling. | Easy to install and configure big data architecture with numerous components requiring limited experience. |
| Integration of services and analytics. | Energy and utilities for data-centric processing. | Advanced analytics with UIs for interactive insights. |
| International Data Space reference implementation targeted at the energy sector (with marketplace functionality). | Small, medium and large energy data providers and consumers. | Possibility to monetize data and data service assets; possibility to identify cross-company innovation. |
| Digital enabler: Internet of Everything platform. | Public Administrations and energy companies/ utilities. | Integration with IoT devices and legacy systems. Provisioning of data analytics and dashboards. |
| Open Data Federation Platform. | Public Administrations and Energy/Utilities companies. | Open Data federation/standardisation and interoperability with open data legacy systems. |
| O&M framework demonstrator for failure prediction in wind turbines. | Turbine owneroperators, utilities, O&M providers. | Optimises the maintenance costs by avoiding unnecessary downtimes and clustering maintenance. |
| Energy production forecasters. | Energy generation companies and renewable energy firms. | Improved management of power plants; Better prediction of production and demand response forecast at regional/national level; Improved flexibility in the system. |
| Energy dispatching optimiser. | National / regional energy dispatching centres. | Dynamic control of electricity flows taking into account both supply and demand side; Optimal dispatching schedules; Enhanced cross border flow and trading; improved TSO/DSO interoperability and cooperation. |
| Interoperability layer. | All stakeholders in the energy value chain. | Effective communication amongst different platforms. |
| New module of PRISMA software specialized in energy optimization. | Industrial manufacturing and other services as building maintainers. | Decision-making in maintenance politics and optimisation of maintenance costs. |
| Techniques for data sharing and shipping using the data containers. | Data consumers across energy related institutes from the Leibniz association. | Possibility to monetise the technologies developed to generate the data containers. |
| Data integration services. | Energy and utilities for data integration. | Easy to install and configure data integration services. |
| Scalable energy management system architecture for microgrids. | Academic and public research centres, energy generation utilities and renewable energy companies. | Advanced models with integrated optimization techniques dealing with increase amount of decentralised renewable assets, and data analytics toolbox (Big Data, AI/ML). |
| Energy data consumption and failures monitoring system. | Smart building owners. | Decision-making in maintenance politics and optimization of energy consumption costs. |
| Industrial node #1, high speed field middleware bus. | Energy generation utilities and renewable energy firms as well as industrial manufacturing companies. | Advanced monitoring and improved performance, reliability of distributed resources. |
| O&M framework demonstrator taking advantage of IoT platform. | Any utility operating distributed and nondistributed infrastructure. | Optimises the costs of maintenance and replacement of assets. |
| Stakeholder engagement. | Academics, Research centres and Energy and ICT companies. | Increased competitiveness; improved participation in collaborative R&D projects. |
| Marketplace integrated with open APIs. | Suppliers and consumers of energy sector. | One-stop market for energy products, service and data. |
More updates about the Expected Results of the PLATOON project will follow soon. Please stay tuned!