Periodic Reporting for period 1 - TRINEFLEX (Transformation of energy intensive process industries through integration of energy, process, and feedstock flexibility)
Okres sprawozdawczy: 2022-09-01 do 2024-02-29
TRINEFLEX is an integrated EII-transformation toolkit following the `X as a service model´. TRINEFLEX will function as an end-to-end service managing the plants digital lifecycle and the process of transition to flexible and sustainable operation through advanced and green data acquisition, Big Data Infrastructures, process analysis, model development and finally Digital Twins with integrated multi-agent decision support systems. TRINEFLEX will be implemented in 5 demo sites with unique challenges, from 4 sectors: glass, copper, aluminium and water industries. The implementation will be supported through the integration of transformative technologies from the energy efficiency, clean energy, sustainable fuels and feedstocks and CCUS sectors, that synergise with the powerful digital solutions to demonstrate flexibility measures towards energy neutrality. TRINEFLEX is designed for rapid replicability in these sectors and high transferability in other P4Planet sectors centred on energy flexibility on the short term and industrial symbiosis on the long term.
Strategic Objectives (SO):
1: Deliver a Digital Retrofitting process capable of collecting and exploiting process data directly, in the context of business intelligence, and indirectly, in the generation of Digital Twins.
2: To create an environment suitable for the predictive assessment of alterations in the operating conditions of the plant and simulate the integration of new technologies utilising adaptable DTs prior to physical integration.
3: To deploy a multi-agent system for decision support capable of maximising energy, process and feedstock flexibility, supported by innovations with excellent decarbonisation potential.
4: To ensure that TRINEFLEX is aligned with the ethical values of the EC and the principles of the twin and just transition and promote the meaningful participation of European communities.
5: To demonstrate flexible and sustainable operation in EIIs.
Strategic Objectives (SO):
1: Deliver a Digital Retrofitting process capable of collecting and exploiting process data directly, in the context of business intelligence, and indirectly, in the generation of Digital Twins.
2: To create an environment suitable for the predictive assessment of alterations in the operating conditions of the plant and simulate the integration of new technologies utilising adaptable DTs prior to physical integration.
3: To deploy a multi-agent system for decision support capable of maximising energy, process and feedstock flexibility, supported by innovations with excellent decarbonisation potential.
4: To ensure that TRINEFLEX is aligned with the ethical values of the EC and the principles of the twin and just transition and promote the meaningful participation of European communities.
5: To demonstrate flexible and sustainable operation in EIIs.
Flexibility assessment – assessing end-user needs and monitoring plan based on green-ICT principles:
Identification of the assets and the production lines, the level of energy consumptions and preliminary information about the potential flexibility of the production and the measures necessary to improve them. Preliminary monitoring plan has been indicated with special focus on identification of relevant data, available and missing sensors. Green ICT methodology to calculate energy consumption that provides the user with a summary of the energy consumption of the ICT system according to the relevant European standards.
Design and integration of an advanced process analysis and diagnosis tool that combines knowledge graphs and inference-based event-abstraction
Two initial prototypes of a Knowledge Graph (KG) tool have been developed, one that identifies dependencies/relations between time-series process data that can be used for the discovery of causal effects and efficient practices in the configuration of the process and other prototype that performs a high-level process/task sequence analysis for predictive maintenance of industrial processes.
Technologies capable of sustainable energy sourcing in closed loop systems:
Heat Exchanger Prototype has been designed and manufactured. The prototype was designed to be a Heat Pipe based Heat Exchanger (HPHE). To digitise the heat exchanger design for end users, a heat exchanger performance prediction model is being developed which is based on the effectiveness method of heat exchangers (ε-NTU method). This method allows to predict the heat duty of the heat exchanger, and outlet temperature of the hot and cold streams by knowing the inlet temperature and flow rates of both streams, and the surface heat transfer area.
Design and implement Distributed Energy Storage (DES):
The TRINEFLEX DES solution is energy storage technology agnostic and aims to address the barrier of limited awareness and knowledge sharing with regards to available technological, financial and cooperation opportunities for the uptake of energy storage with the industrial sector at a pivotal role. A prototype has been made available that includes the early version of the Intelligent Matchmaking & Networking service.
Energy flexibility through integrated Energy Management System (EMS):
Development of Asset Health Monitoring (AHM) a prototype Agent is part of the EMS and to monitor operational state of machines and their components. This prototype performs real-time anomaly detection to assess machine health status and detect any abnormal behaviour of the machine or a component. The Process Optimisation (PO) agent operates in real-time, offering insights into flexibility capabilities across various operational points. This information enables the EMS to dynamically recalibrate schedules, ensuring adaptability to the dynamic properties of the process operation.
Design and integration of a Big-Data infrastructure:
Design and deployment of a common data pipeline for all demo-cases that comprises a common data storage/sharing service and a common analytical infrastructure. Kharon Solution allows a structured and time-based ordered acquisition of IOT related data, from advanced industrial machines, gateways, or other correlated applications. Common analytical infrastructure will provide a common framework for both the development of software solutions as well as their deployment.
Analyse local dimension & plan citizen engagement, open science actions:
TRINEFLEX performed a mapping of key actors in energy transition in the three countries where its demo sites are based, namely Spain, Greece and Italy. An analysis of the overall regional landscape took place, studying insights from the Smart Specialisation Strategy, the Regional Innovation Scoreboard, available economic indices, regional statistics, and R&I statistics as well as examining the transformative role of energy communities towards a more decentralised and democratised energy system.
Identification of the assets and the production lines, the level of energy consumptions and preliminary information about the potential flexibility of the production and the measures necessary to improve them. Preliminary monitoring plan has been indicated with special focus on identification of relevant data, available and missing sensors. Green ICT methodology to calculate energy consumption that provides the user with a summary of the energy consumption of the ICT system according to the relevant European standards.
Design and integration of an advanced process analysis and diagnosis tool that combines knowledge graphs and inference-based event-abstraction
Two initial prototypes of a Knowledge Graph (KG) tool have been developed, one that identifies dependencies/relations between time-series process data that can be used for the discovery of causal effects and efficient practices in the configuration of the process and other prototype that performs a high-level process/task sequence analysis for predictive maintenance of industrial processes.
Technologies capable of sustainable energy sourcing in closed loop systems:
Heat Exchanger Prototype has been designed and manufactured. The prototype was designed to be a Heat Pipe based Heat Exchanger (HPHE). To digitise the heat exchanger design for end users, a heat exchanger performance prediction model is being developed which is based on the effectiveness method of heat exchangers (ε-NTU method). This method allows to predict the heat duty of the heat exchanger, and outlet temperature of the hot and cold streams by knowing the inlet temperature and flow rates of both streams, and the surface heat transfer area.
Design and implement Distributed Energy Storage (DES):
The TRINEFLEX DES solution is energy storage technology agnostic and aims to address the barrier of limited awareness and knowledge sharing with regards to available technological, financial and cooperation opportunities for the uptake of energy storage with the industrial sector at a pivotal role. A prototype has been made available that includes the early version of the Intelligent Matchmaking & Networking service.
Energy flexibility through integrated Energy Management System (EMS):
Development of Asset Health Monitoring (AHM) a prototype Agent is part of the EMS and to monitor operational state of machines and their components. This prototype performs real-time anomaly detection to assess machine health status and detect any abnormal behaviour of the machine or a component. The Process Optimisation (PO) agent operates in real-time, offering insights into flexibility capabilities across various operational points. This information enables the EMS to dynamically recalibrate schedules, ensuring adaptability to the dynamic properties of the process operation.
Design and integration of a Big-Data infrastructure:
Design and deployment of a common data pipeline for all demo-cases that comprises a common data storage/sharing service and a common analytical infrastructure. Kharon Solution allows a structured and time-based ordered acquisition of IOT related data, from advanced industrial machines, gateways, or other correlated applications. Common analytical infrastructure will provide a common framework for both the development of software solutions as well as their deployment.
Analyse local dimension & plan citizen engagement, open science actions:
TRINEFLEX performed a mapping of key actors in energy transition in the three countries where its demo sites are based, namely Spain, Greece and Italy. An analysis of the overall regional landscape took place, studying insights from the Smart Specialisation Strategy, the Regional Innovation Scoreboard, available economic indices, regional statistics, and R&I statistics as well as examining the transformative role of energy communities towards a more decentralised and democratised energy system.
Data streaming in semi- and real-time in Digital Retrofitting: Significant advancement towards the design and deployment of a common data pipeline for all demo-cases that comprises a common data storage/sharing service and a common analytical infrastructure. This design will provide the basis for the deployment of any solution developed during the project and it will increase the exploitation capabilities of the TRINEFLEX solution.
Advanced process and analysis with explainable inputs & outputs: Design and integration of an advanced process analysis and diagnosis tool that combines knowledge graphs and inference-based event-abstraction, two initial prototypes of a Knowledge Graph (KG) tool have been developed.
Heat Exchanger Prototype: The prototype was designed to be a Heat Pipe based Heat Exchanger (HPHE) which is beyond conventional heat exchanger.
Community-based Distributed Energy Storage (DES): The DES solution under development is the energy storage technology agnostic and aims to address the barrier of limited awareness and knowledge sharing with regards to available technological, financial and cooperation opportunities for the uptake of energy storage with the industrial sector at a pivotal role. A prototype has been made available that includes the early version of the Intelligent Matchmaking & Networking service.
The other ongoing works will be further developed into TRINEFLEX results and potential impacts that will be described in the next period.
Advanced process and analysis with explainable inputs & outputs: Design and integration of an advanced process analysis and diagnosis tool that combines knowledge graphs and inference-based event-abstraction, two initial prototypes of a Knowledge Graph (KG) tool have been developed.
Heat Exchanger Prototype: The prototype was designed to be a Heat Pipe based Heat Exchanger (HPHE) which is beyond conventional heat exchanger.
Community-based Distributed Energy Storage (DES): The DES solution under development is the energy storage technology agnostic and aims to address the barrier of limited awareness and knowledge sharing with regards to available technological, financial and cooperation opportunities for the uptake of energy storage with the industrial sector at a pivotal role. A prototype has been made available that includes the early version of the Intelligent Matchmaking & Networking service.
The other ongoing works will be further developed into TRINEFLEX results and potential impacts that will be described in the next period.