Deliverables:

  • D1.1 – Quality Management Plan (not public)
  • D1.4 – Data Management Plan 1st release (not public)
  • D1.6 – IPR Management Plan 1st release (not public)
  • D8.1 – Dissemination, Exploitation and Communication Master Plan 1st release
  • D1.2 – Interim progress report 1st release (not public) 
  • D6.1 – Use   cases   description   and   stakeholder analysis
  • D5.1 – System Architecture
  • D2.1 – Forecasting algorithms
  • D2.2 – Component, models, with plug & play capability
  • D3.1 – Health models library
  • D8.2 – Dissemination, Exploitation and Communication Master Plan 2nd release
  • D2.3 – Validated digital twin 
  • D3.2 – Fault-detection algorithm
  • D3.3 – Digital twin for health status prediction
  • D4.1 – Hierarchical and Distributed MPC
  • D7.1 – Report on scenario
  • D8.3 – Report on societal needs and engagement
  • D1.3 – Interim progress reports 2nd release (not public)
  • D4.2 – Reconfigurable, self-healing and fault tolerant features
  • D4.3 – Blockchain based energy management tool
  • D6.2 – Report on use-cases  implementation  and results
  • D1.5 – Data Management Plan 2nd release (not public)
  • D1.7 – IPR Management Plan 2nd release (not public)
  • D5.2 – Integrated  EMS  with  Factory  Acceptance Test documentation (not public)
  • D7.2 – Feasibility of proposed solutions (Blockchain and markets)
  • D7.3 – Implementation potentials of proposed technology and regulatory solutions
  • D8.4 – Technical Brochure
  • D8.5 – Exploitation Pathways & Definitive Business Plan

Milestones:

  • MS1: Online capable power grid twin available – M21
  • MS2: Online capable digital twin for heating and cooling network available – M21
  • MS3: Fault Detection algorithm available – M24
  • MS4: Digital twin for health status prediction available – M24
  • MS5: Reconfigurable, self-healing, and fault-tolerant Hierarchical and Distributed MPC – M27
  • MS6: Blockchain-based solution for energy trading – M27
  • MS7: System architecture defined – M12
  • MS8: Final versions of components integrated into AURORA framework – M30
  • MS9: Field trials carried out – M31
  • MS10: Deployment of blockchain-enabled solutions for international energy collaboration – M36
  • MS11: Exploitation Pathways & Definitive Business Plan – M36
  • MS12: Dissemination, Exploitation, and Communication Master Plan – M18 & M36
  • MS12: Dissemination, Exploitation and Communication Master Plan (Release 1) – PM18
  • MS13: Dissemination, Exploitation and Communication Master Plan (Release 2) – PM36
  • MS14: Asset related data from all three demo sites collected and compiled – PM6
  • MS15: Procedures and protocols to acquire and share real-time data – PM8

List of Scientific Publications:

2026


• An energy management system for industrial manufacturing: A hybrid approach with demand response
Javier Gómez, José M. Framiñán, Juan M. Escaño, Carlos Bordons
Renewable Energy, Volume 256, Part B, 123814 (2026)
https://www.sciencedirect.com/science/article/pii/S0960148125014788


2025

• Fault-tolerant peer-to-peer energy trading in energy communities using blockchain and distributed stochastic model predictive control
M. Sivianes, P. Velarde, A. Zafra-Cabeza, C. Bordons
IEEE Transactions on Industry Applications (2025)
https://ieeexplore.ieee.org/abstract/document/11151752

• A Cyberattack Detection and Mitigation Framework for Community-Based Microgrids
Pablo Velarde et al.
European Control Conference (ECC 2025), Thessaloniki, Greece
https://ieeexplore.ieee.org/document/11187010

• Cyber-Resilient Distributed MPC for Securing Microgrids Against ADMM-Based Manipulation Attacks
Pablo Velarde et al.
IFAC-PapersOnLine, Volume 59, Issue 16, pp. 122–127 (2025)
https://www.sciencedirect.com/science/article/pii/S2405896325014776

• Digital Twin of PEM Electrolyzers based on Phenomenological Models
Pablo G. Camacho et al.
IFAC-PapersOnLine, Volume 59, Issue 16, pp. 140–145 (2025)
https://www.sciencedirect.com/science/article/pii/S2405896325014806

• A Stochastic Model Predictive Control Approach in a Hierarchical and Distributed Framework for Energy Communities Using Blockchain Technologies
Manuel Sivianes et al.
Springer Nature, 2025
https://link.springer.com/chapter/10.1007/978-3-031-69015-0_4

• Stochastic Model Predictive Control for Integrated Scheduling and Energy Management in Industrial Microgrids
Javier Gómez
Universidad de Sevilla (Doctoral Work)
https://doctorado.us.es/component/fabrik/details/14/1738-javier-gomez-jimenez

• Digital Twin Approaches for Automatic Control Systems: Concepts, Methods, and Applications
William Chicaiza
Universidad de Sevilla
https://idus.us.es/items/5198fb57-ea9e-4c75-8e46-2b5f90b7833b/full

2024

• Integration and control of grid-scale battery energy storage systems: challenges and opportunities
Kumars Rouzbehi et al.
IET Renewable Power Generation (2024)
https://digital-library.theiet.org/doi/full/10.1049/rpg2.13136

Results:

The INTEREST project is currently in its initial phase, with promising developments anticipated over the coming months. As the project progresses, we will regularly update this section with key results, insights, and deliverables. These will reflect the project’s milestones in advancing sustainable energy solutions, implementing predictive maintenance, and enhancing digital energy management systems. Stay tuned for comprehensive updates on our achievements and the impact of our innovations as we move closer to project completion.