Period: Month 1 – Month 36
Responsible:IFE
Participants: all partners
General objective:Ensuring technical, administrative, and financial coordination of the project, in accordance with the proposal, Grant Agreement, and Consortium Agreement.
Main activities
T1.1 Kick-off & Consortium Agreement -Organizing the kick-off meeting, establishing responsibilities, developing the management plan and data management plan.
T1.2 Monitoring & Reporting - Tracking progress and quality of activities through Gantt charts, KPIs, and dashboards. Preparing periodic and final reports.
T1.3 Risk Management - Identifying, assessing, and updating risks through dedicated registers (risk matrix, risk register).
T1.4 Quality Assurance - Implementing a quality control flow, peer-review procedures for all deliverables.
Period: Month 1 – Month 12
Responsible: UPB
Participants: all partners
General objective:Defining hardware and software specifications for the power supplies of electrolyzers.
Main activities
T2.1 Defining Power Supply Parameters - Establishing nominal voltages, operational ranges, and allowable ripple current/voltage limits.
T2.2 Performance Parameters of the Electrolyzer - Defining energy efficiency, specific consumption, lifespan, and operating conditions.
T2.3 Final Configuration of the Power-to-Hydrogen System - Analyzing and selecting various AC/DC topologies (NPC, interleaved Buck-Boost, resonant converters, bidirectional).
Period: Month 2 – Month 17
Responsible: IFE
Participants: ICSI
General objective:Determining the effect of current ripple on the degradation of alkaline and PEM electrolyzers through accelerated stress tests (AST) ≥1000 h.
Main activities
T3.1 Baseline Performance Assessment -Tests with a minimum ripple source to establish the benchmark.
T3.2 Degradation Assessment - Tests with conventional sources or synthetic ripple to identify the influence of ripple frequencies and amplitudes.
Period: Month 2 – Month 25
Responsible: AU
Participants: all partners
General objective:Developing an advanced AI control system to improve energy quality and a digital twin for real-time monitoring.
Main activities
T4.1 AI System for Energy Quality - Adaptive control based on:
Reinforcement Learning (DDPG)
Adaptive PI Control
Model Predictive Control (MPC)
T4.2 Digital Twin for Predictive Maintenance -Scalable model for monitoring, trend analysis, and operational forecasting.
T4.3 Integration and Validation -Testing in simulated and experimental scenarios, calibration based on industry feedback.
Period: Month 16 – Month 36
Responsible: ICSI
Participants: all partners
General objective:Experimental validation of developed models and algorithms and cost analysis (CAPEX/OPEX).
Main activities
T5.1 Experimental Testing -Validation of control technologies compared to WP3 results.
T5.2 Techno-Economic Analysis - Cost assessment for various power supply configurations, ripple impact on degradation, TCO estimation.
T5.3 Roadmap for Future Generation Converters -Identifying current limitations and defining development directions for energy conversion in electrolyzers.
Period: Month 1 – Month 36
Responsible: IFE
General objective:Ensuring reporting, communication, dissemination, and integration activities in the CETPartnership Knowledge Community.
Main activities
Periodic and final reports
Participation in workshops, events, and international conferences
Contribution to the CETP knowledge base
Communication and online visibility activities
mihai.oproescu@upb.ro
Phone number: +40 348 453 200
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