Periodic Reporting for period 2 - BBTWINS (Digital twins for the optimization of agrifood value chain processes and the supply of quality biomass for bio-processing)
Période du rapport: 2022-06-01 au 2023-11-30
The Bio-Based Digital Twins (BBTWINS) project is a significant initiative focused on transforming the EU agri-food sector into a more sustainable and efficient system. This project aims to address the critical challenge of meeting the increasing global demand for nutritious, secure, and healthy food while ensuring optimal utilization of resources. The key to this transformation lies in the development and implementation of a cutting-edge digital platform. BBTWINS project will develop and validate innovative digital twins in two use cases in the meat and fruit sectors in Greece and Spain. The digital twin will leverage technologies such as blockchain, artificial intelligence (AI), big data analytics, process modelling, advanced logistic models and the Internet of Things (IoT).
The integration of these technologies is set to revolutionize the agri-food value chain by optimizing processes and improving the supply and management of biomass for bioprocessing. By doing so, BBTWINS aims to achieve significant reductions in biomass losses, extend storage times, and increase the overall sustainability and efficiency of the agri-food sector. This initiative is not only vital for environmental health, but it also has profound implications for societal well-being, as it seeks to create a more resilient and sustainable food production system.
The project's importance for society is underscored by its potential to address some of the most pressing challenges of our time, including food security, environmental sustainability, and the efficient use of natural resources. In summary, BBTWINS represents a pioneering effort to harness the power of digital technologies for the betterment of the agri-food sector, with far-reaching benefits for society and the environment
The integration of these technologies is set to revolutionize the agri-food value chain by optimizing processes and improving the supply and management of biomass for bioprocessing. By doing so, BBTWINS aims to achieve significant reductions in biomass losses, extend storage times, and increase the overall sustainability and efficiency of the agri-food sector. This initiative is not only vital for environmental health, but it also has profound implications for societal well-being, as it seeks to create a more resilient and sustainable food production system.
The project's importance for society is underscored by its potential to address some of the most pressing challenges of our time, including food security, environmental sustainability, and the efficient use of natural resources. In summary, BBTWINS represents a pioneering effort to harness the power of digital technologies for the betterment of the agri-food sector, with far-reaching benefits for society and the environment
During RP1, BBTWINS saw significant progress in WP1 with the full definition of all steps of the value chains of PORTESA (pork) and DIMITRA (fruit), the data stemming from each step and the needs for additional data capture and the associated sensors (also partially installed). WP2 progressed towards the definition of all of inputs (biomass) and outputs (added value compounds) of the technologies applied to the selected wastes from each company. WP3 mainly focused on the development of a mathematical model representing the salting, water activity and proteolysis of the ham curing process; and also on the development of four logistics modelling cases for PORTESA. In WP4, the identification and definition of the requirements for the Blockchain platform to track and trace the products and waste for PORTESA and DIMITRA was fully accomplished. WP7 progressed with the input data collection (Life Cycle Inventory) needed for the Life Cycle Assessment both environmental and economic.
During RP2, the BBTWINS project made significant advancements across its work packages. WP1 achieved full sensorization of pork and fruit value chains, developed predictive models, and established a central data lake. WP2 focused on optimizing feedstock using technologies like microwaves and ultrasounds, leading to new biobased products and integration of data into blockchain and digital twins. WP3 developed mathematical models for bio-based operations, improving logistics and value chain efficiency. WP4 implemented a Blockchain network for supply chain traceability, particularly in the Agrifood sector. WP5 designed and developed a software tool for process simulation using Digital Twin technology. WP6 focused on testing and validating digital tools in real-world agri-food environments. WP7 conducted environmental and economic impact assessments, including Life Cycle Assessment and Life Cycle Cost Analysis. WP8 enhanced project impact through strategic communication and dissemination activities. These efforts collectively aimed at enhancing efficiency, traceability, and sustainability in agri-food processes.
The main results achieved by M30 are:
WP1: Achieved full sensorization of pork and fruit value chains, developed and validated predictive models for pork weight, backfat thickness, and fruit yield forecasting, characterized agrifood products and feedstock, and operationalized the data lake for centralized management.
WP2: Notable achievements: identified and defined waste streams for optimization, explored advanced technologies for feedstock processing, developed new biobased products, conducted technical-economic analysis, and integrated project data into blockchain and digital twin systems.
WP3: Significant accomplishments: developed mathematical models for curing ham and storing fruit, created logistics optimization strategies, enhanced productivity and energy efficiency, and integrated models into the project's digital twin system.
WP4: Key achievements: successfully implemented a Blockchain network for supply chain traceability, completed requirement and use case definition, analyzed and implemented the blockchain, and developed a demonstrator platform for meat and fruit value chains.
WP5: Notable achievements: completed Digital Twin design and analysis, advanced the Digital Twin prototype, and initiated re-engineering efforts.
WP6: Significant achievements: completed requirement analysis and use case definition, made progress in real-world testing, established a monitoring and assessment framework, and developed supply chain network methodologies.
WP7: Noteworthy achievements: completed bio-processing operations inventory, progressed in environmental impact assessments, and identified key environmental and economic impacts for mitigation.
WP8: Main achievements: developed BBTWINS visual identity, published Communication Dissemination and Clustering strategy, and achieved significant growth in social media presence and coverage.
WP9: Key achievements: effectively coordinated and organized the project, implemented 22 deliverables, conducted regular meetings and coordination, managed Consortium and Grant Agreements, and adhered to open science practices while efficiently managing risks and finances.
During RP2, the BBTWINS project made significant advancements across its work packages. WP1 achieved full sensorization of pork and fruit value chains, developed predictive models, and established a central data lake. WP2 focused on optimizing feedstock using technologies like microwaves and ultrasounds, leading to new biobased products and integration of data into blockchain and digital twins. WP3 developed mathematical models for bio-based operations, improving logistics and value chain efficiency. WP4 implemented a Blockchain network for supply chain traceability, particularly in the Agrifood sector. WP5 designed and developed a software tool for process simulation using Digital Twin technology. WP6 focused on testing and validating digital tools in real-world agri-food environments. WP7 conducted environmental and economic impact assessments, including Life Cycle Assessment and Life Cycle Cost Analysis. WP8 enhanced project impact through strategic communication and dissemination activities. These efforts collectively aimed at enhancing efficiency, traceability, and sustainability in agri-food processes.
The main results achieved by M30 are:
WP1: Achieved full sensorization of pork and fruit value chains, developed and validated predictive models for pork weight, backfat thickness, and fruit yield forecasting, characterized agrifood products and feedstock, and operationalized the data lake for centralized management.
WP2: Notable achievements: identified and defined waste streams for optimization, explored advanced technologies for feedstock processing, developed new biobased products, conducted technical-economic analysis, and integrated project data into blockchain and digital twin systems.
WP3: Significant accomplishments: developed mathematical models for curing ham and storing fruit, created logistics optimization strategies, enhanced productivity and energy efficiency, and integrated models into the project's digital twin system.
WP4: Key achievements: successfully implemented a Blockchain network for supply chain traceability, completed requirement and use case definition, analyzed and implemented the blockchain, and developed a demonstrator platform for meat and fruit value chains.
WP5: Notable achievements: completed Digital Twin design and analysis, advanced the Digital Twin prototype, and initiated re-engineering efforts.
WP6: Significant achievements: completed requirement analysis and use case definition, made progress in real-world testing, established a monitoring and assessment framework, and developed supply chain network methodologies.
WP7: Noteworthy achievements: completed bio-processing operations inventory, progressed in environmental impact assessments, and identified key environmental and economic impacts for mitigation.
WP8: Main achievements: developed BBTWINS visual identity, published Communication Dissemination and Clustering strategy, and achieved significant growth in social media presence and coverage.
WP9: Key achievements: effectively coordinated and organized the project, implemented 22 deliverables, conducted regular meetings and coordination, managed Consortium and Grant Agreements, and adhered to open science practices while efficiently managing risks and finances.
BBTWINS will be a true digital twin and this is the main progress beyond the state or art. It combines process simulation, data analytics, blockchain, logistics optimization tools, sensors and economic variables into a single tool simulating real-time the production chain of two different agri-food business. This, overall, is the true breakthrough, which goes even further when biomass is included as a way to more efficiently valorize wastes in a potential true digital transformation including new revenue streams. This will be achieved by the end of the project in the full sense of the term digital twin. During this reporting period still no breakthrough developments leading to a quantic, technical leap has been foreseen.