Objective of Project Idea:
Proposal Abstract Smartlight is an AI-Powered Adaptive Urban Lighting system that adjusts lighting levels in real time by analyzing traffic flow and weather conditions, enhancing energy efficiency and reducing carbon emissions. Smartlight models and predicts traffic conditions by integrating historical datasets (such as traffic patterns, weather, and accidents) with real-time data (including vehicle counts and signal states), employing advanced machine learning algorithms and feature selection techniques to optimize urban lighting levels, enhance energy efficiency, and improve safety in urban environments. Through continuous analysis of traffic flow and weather patterns, the system dynamically adjusts lighting level in compliance with EN 13201[...]
Name: Emin Abbaszade

Objective of Project Idea:
This project aims to develop an AI-based methodology for the accelerated and accurate estimation of RUL in second-life lithium-ion cells. By using data-driven approaches, we intend to significantly reduce the time and cost of qualification processes and improve the efficiency of cell sorting and matching. Additionally, the project will explore modular ESS architectures with swappable cell units, enhancing the adaptability of second-life systems and maximizing the utility of available battery inventories. The core of the solution will be machine learning models trained on operational and diagnostic data from used EV battery cells. These models will learn to identify patterns linked[...]
Name: Ewa Dargiewicz

Objective of Project Idea:
This project aims to ensure the structural integrity of Power Cable Risers (PCRs) used in Floating Offshore Wind Turbines (FWTs), which face extreme dynamic loads from wind, waves, and turbine motion. The goal is to develop and validate a high-fidelity, multi-scale numerical model that captures PCR behaviour under such conditions and extends to predicting durability and failure using fracture mechanics principles. The approach combines advanced finite element analysis with fluid dynamics simulations, using both commercial software and custom tools developed with our partners at Brunel University London. Realistic met-ocean data will model long-term loading and assess failure risks. Experimental validation[...]
Name: Rajab Said

Objective of Project Idea:
elerGreen is looking for partners (such as funding bodies, academic institution or industry) to implement elerGreen Reactor in partners’ facilities for research, production or recycling: https://www.youtube.com/shorts/Ge8-OdzzzlY elerGreen makes its patented electrochemical reactor that recovers valuable products from wastes and renewable electricity, economically and eco-friendly: https://www.youtube.com/watch?v=LxN1F9IAEJo As key differentiator, elerGreen invented unique electrowinning cell of moving electrode against stationary blades to continuously remove solid products: https://youtube.com/shorts/ZomraKErnsc This facilitates pollutants conversion, including CO2, tailings and petrochemicals, into valuable metals, polymers and feedstocks, using renewable electricity: https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2020185065 Contrary to conventional batch (manual or robotic) electrolyzer, elerGreen's novel continuous electrolyzer is lower cost, more[...]
Name: Hui Huang Hoe

Objective of Project Idea:
e-Litmus (e-litmus.com) is a technology project, active in the segment of E-Mobility, focused on enhancing the reliability and cost-efficiency of electric vehicle (EV) charging infrastructure (DC fast chargers). We develop predictive maintenance solutions tailored for Charge Point Operators (CPOs) and service companies. Our solution minimises maintenance expenses by leveraging our own Edge-AI compute module, Hardware sensors, advanced data analytics and cloud data processing. The principle of our system is to track the dynamics of changes in various physical parameters. Certain combinations of events and trends are evidence of a decrease in the reliability of the charging station, or a signal[...]
Name: Kirill

Objective of Project Idea:
The project aims to develop and deploy an integrated system that leverages advanced data intelligence and advanced software solutions for environmental monitoring, management, and mitigation, promoting sustainability. Key focus areas include real-time pollution monitoring, carbon asset tracking, water quality assessment, and biodiversity. This platform and data analytics techniques will provide essential insights for decision-makers.
Name: Süleyman Altınışık

Objective of Project Idea:
This project aims to develop, evaluate, and deploy energy-efficient 5G/6G solutions, focusing on rural and underserved areas through both terrestrial and non-terrestrial networks (NTN). Key objectives include:​ * ​Designing and implementing energy-efficient 5G/6G network architectures using open-source frameworks such as OpenAirInterface (OAI) and srsRAN.​ * ​Conducting field trials to assess the performance of NTN, including satellite-based systems, in providing reliable connectivity to remote regions.​ * ​Developing smart spectrum management strategies, including dynamic spectrum access (DSA) and TV White Space (TVWS) technologies, to optimize spectrum utilization.​ * ​Performing techno-economic analyses to evaluate the cost-effectiveness and scalability of the proposed solutions, facilitating[...]
Name: Albert Lysko

Objective of Project Idea:
To be able to mitigate the process of climate change, it is essential that ways are found to stop release of CO2 to the atmosphere. CO2 emissions can be reduced by generating energy with renewables, but the possibility of carbon capture directly from processes that emit CO2 offer an additional complementary approach. One way in which this can be done is to harness the ability of microalgae to capture CO2 using photosynthesis and to couple this to CO2 generated by fixed installations such as wastewater facilities, carbon emitting or industrial processes. To be able to deploy this approach to capture[...]
Name: Martin Anthony Lawton

Objective of Project Idea:
Nuestro invento hace más eficiente las limpiezas y maximiza la generación de energía solar, limpiando el polvo acumulado con tecnología innovadora. Resuelve los inconvenientes de los sistemas actuales de limpieza, como: a) se adapta a todas las características particulares, dimensiones y configuraciones de cada arreglo de paneles, reduciendo los altos costos de su mantenimiento y; b) resuelve el problema del desplazamiento sobre los espacios vacíos entre las y arreglos de paneles, siendo capaz de traspasarlos sin necesidad de tener que desmontarlos manualmente para trasladarlos como lo hacen hoy los equipos automatizados. Nuestra solución va dirigida principalmente a medianos y grandes[...]
Name: MARIA ISABEL JOFRE PARADA

Objective of Project Idea:
NGV offers a patented catalytic process that converts a wide range of carbon-rich renewable feedstocks, including CO₂ emissions, into Sustainable Aviation Fuel (SAF) and other renewable products. Unlike conventional Fischer-Tropsch (FT) technology, NGV’s process eliminates the need for extensive gas conditioning and product upgrading, reducing both CAPEX and OPEX by over 20%. With higher yields and feedstock flexibility, NGV ensures a scalable and cost-effective SAF production pathway. After successfully validating its patented technology in a mini-pilot facility, NGV has reached a critical milestone: scaling up its process to an operational pilot plant, a 400-fold expansion that will commence operations by[...]
Name: Oded Tshesly