Periodic Reporting for period 2 - PHOENIX (Adapt-&-Play Holistic cOst-Effective and user-frieNdly Innovations with high replicability to upgrade smartness of eXisting buildings with legacy equipment)
Berichtszeitraum: 2022-03-01 bis 2023-11-30
PHOENIX upgrades buildings with advanced technologies to enhance smart services.. The project involves developing an ICT platform to seamlessly integrate building devices. By transforming buildings from passive energy consumers to active energy managers. Aims to boost energy efficiency and occupant benefits, supporting grid operations.. It encompasses a suite of ICT solutions: hardware/software updates, sensors, data analytics, services for users and utilities. Uses AI and cloud computing, enhancing existing buildings' intelligence.. It has been achieved notable advancements n integrating smart building technologies, creating SMEs and business opportunities.. Key successes included the final development of the PHOENIX Smartness Hub, integration of legacy devices, and the implementation of various user and grid-focused services, validated across the demo sites.
At the reported period, WP2 had already been finished and shaped the development of hardware and software solutions across various WPs, ultimately preparing them for market readiness. Regarding WP3, the integration of external data sources is now operational, with final testing and configuration. The integration of devices from different pilots is completed. Deployment connectivity tests have been successfully conducted, ensuring the operational status of installed devices. IoT gateways have been enhanced, and full integration of legacy equipment has been achieved. SRI calculations have been conducted by all pilot partners both before and after interventions, culminating in the final round of calculations executed after the services were deployed. WP4 of the PHOENIX project has been instrumental in promoting interoperability through semantic data models, efficient data management, and the development of forecasting algorithms. The project has deployed a robust triple store connected to context broker, facilitating data storage and retrieval for various services. PHOENIX's commitment to interoperability extends to the reuse of established data models and the creation of specialized models (SRI), ensuring compatibility with external solutions. Moreover, the development of distributed security components and their incorporation into the Security&Privacy framework underscores the project's dedication to data security. The Knowledge Graph solution within PHOENIX’s solution enhances data modelling and management. The ongoing integration of forecasting algorithms into user and grid services further strengthens the project's capabilities. In WP5, the project has made significant strides in offering user-friendly building services. The dashboard implementation is complete, with a focus on improving the user interface. Extensive testing has been conducted to ensure comfort and convenience in building environments, and data analysis from pilot sites has been integrated. Alert recommendations have been successfully integrated into the dashboard, and engines for Automatic SRI calculation and EPC Evaluation have been developed. In WP6, significant progress has been made in achieving synergic grid interaction and automatic energy savings. It was used USEF interpreter for communication and data model configuration efficiency. Integration of energy markets enables demand flexibility based on prices and dynamic pricing with renewable generation. Smart tariffs mechanisms have been developed. Extensive testing for demand response events has been conducted, gathering valuable user feedback. Services related to blackout, EV charging, self-consumption optimization, and flexibility tests with batteries and solar domestic hot water systems have been completed, finalising WP6 developments. WP7 has included selecting innovations for trials, specifying test scenarios, and creating an evaluation framework. Deployment and integration of components in each pilot were carried out, with ongoing communication with service developers. Experiments adhering to the validation framework were executed, and results were documented. Continuous communication with developers ensured services met pilot needs and project goals. Findings were reported in deliverable 7.4 offering valuable insights into project strengths and lesson learned. During WP8, there were three more editions of newsletters, the poster and roller banner were updated to show latest information of demo sites. Website and social media were continuously updated. New creation of project’s training and awareness materials available on the website. The consortium achieved 14 scientific publications, participated in 20 events and collaborated with projects addressing similar topics. Efforts were toward standardization and active participation. Exploitation strategy updates for project KERs were completed, including their Technology Readiness Level. Finally, in the demonstration and validation activities through SMEs winners of the three requests for proposals (RfPs). This process culminated with the third RfP aimed to the validation of the PHOENIX solution through a small-scale external pilot.
a) Hardware solutions for connection and smart control of legacy systems and appliances. Some additional devices were installed for service requirements most of the installations were covered by M18. b) Integration and interoperability for multi-systems data exchange. An actuation support was integrated into the BMS of the Irish pilot. Platform updates were made, while the IoT gateway underwent significant rework for Z-Wave support and the Modbus/TCP integration was extended to accommodate specific devices requiring adaptation for actuation commands. c) Data analytic and Artificial Intelligence toolbox for EEB domain and human-related data. The functional version of the Algorithms Engine is fully developed, operational, and integrated within the PHOENIX platform. d) Smart services for the energy sector and building users. Smart services for the energy sector and building users aim to enhance energy efficiency and grid reliability. The Demand Flexibility Management Engine oversees explicit and implicit demand-side flexibility, adjusting building energy usage based on grid signals or market data. It collaborates with the Algorithms Engine to analyse energy consumption, forecast generation, and prioritize occupant comfort. Self-generation and consumption services, contingent on photovoltaic systems and battery storage, enable potential EV integration. Evaluated in three pilots. e) Dashboard. The project provides a user-friendly dashboard and mobile app aimed at enhancing the human-building experience and interaction for occupants and managers, integrating innovative services to increase optimize energy use, and encourage energy-efficient lifestyles. The dashboard facilitates user adoption of smart building features. f) Security, Privacy and Trust. Privacy enhancements completed across the platform including Real-Time Data Broker, Data Repository, and Dashboard. Swedish pilot app integrated into Security & Privacy Framework. g) Business Models. Efforts were made to ensure alignment with market needs. Definition of 5 innovative business models and tested in the demo sites. A methodology for exploitation was established, including detailed plans for tangible Key Exploitable Results and three additional plans for non-tangible results.