1. Analysis of energy quality and the response of electrolyzers

RippEly investigates how different AC/DC converter topologies affect power quality – including current ripples, voltage fluctuations, and harmonics – and how these influence the efficiency, stability, and purity of the produced hydrogen.Target: reduce current ripple by at least 20% and increase energy efficiency by 5–7%.

3. Monitoring the state of health (SoH) of electrolyzers

It is analyzed whether certain frequencies of current ripples can become early indicators of electrolyzer degradation, enabling the development of a low-cost real-time diagnostic system.Target: reduce unplanned downtime by 25%.

5. Creating a Digital Twin for monitoring and predictive optimization

The project builds a "digital twin" of the hydrogen production system, capable of providing real-time monitoring, performance predictions, and optimization scenarios. Target: at least 90% accuracy in performance predictions and a 10–15% reduction in OPEX.

Project RippEly Objectives

2. Accelerated testing for the evaluation of electrolyzer durability

The project develops Accelerated Stress Test (AST) protocols to determine how different ripple currents affect PEM and alkaline electrolyzers in the long term.Target:experimental tests of 1000–2000 hours to identify degradation mechanisms and measures to mitigate them.

4. Development of AI algorithms for power optimization

RippEly is developing intelligent control algorithms – including techniques based on reinforcement learning – that dynamically adjust converter parameters to stabilize voltage and current.Target:20% reduction in voltage fluctuations and improved stability under variable power conditions.

6. Technical-economic analysis and roadmap for future converters

RippEly analyzes the feasibility and costs of various converter topologies, including advanced solutions such as MMC or bidirectional AC/DC architectures.Target:at least 15% reduction in the total system CAPEX.

The project RippEly aims to revolutionize green hydrogen production by optimizing the power supply of electrolyzers and reducing their degradation when used with fluctuating sources, such as wind or solar energy. Through an integrated approach that combines power engineering, artificial intelligence, and digital modeling, RippEly seeks to develop more efficient, sustainable, and accessible systems.

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IMPLEMENTATION TEAM

Maria Elena STANCIU

Research Assistant

Vasile Gabriel IANA

Scientific researcher in the field of signal processing & AI

Adriana Gabriela SCHIOPU

Scientific researcher in the field of chemistry & materials engineering

Nicu BIZON

Scientific researcher in the field of modeling & simulation

Mihai OPROESCU

Project manager

mihai.oproescu@upb.ro

Phone number: +40 348 453 200

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