Feasibility Study: Green Hydrogen (GH2) Production via Electrolysis of Produced Disposal Water from Mature Oil Fields

Objective of Project Idea:
Technology area / topic: Carbon-free energy supply — Green hydrogen, water electrolysis, CO₂ utilization (R&D / feasibility stage) Summary: This is an R&D project proposal, not yet an operating or pilot conversion process. Mature oil fields generate large and growing volumes of produced water (water-oil ratios up to 10–30:1), which today represents 20–35% of operating costs and a rising environmental/regulatory liability. Our proposal is to develop, together with research and technology institutes, a technical and economic study to assess the conversion of this produced water into green hydrogen (H2V) through electrolysis — covering water treatment/pre-conditioning requirements, electrolysis process design, energy[...]
Name: Marcos Pimentel Mendes

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Proposal key words:F6 Oil | gas | coal enhanced practicesG4 Zero carbon buildingH3 Energy as a service

GeoTwin CCS — Intelligent Digital Twin for Real-Time Monitoring and Optimization of Geological CO₂ Storage in Deep Reservoirs

Objective of Project Idea:
Technology area / topic: Carbon-free energy supply — CO₂ Capture, Utilization and Storage (CCS/CCUS), Digital Twin, AI/Machine Learning for reservoir monitoring Summary: GeoTwin CCS is an R&D project developing and validating, over 24 months, a Digital Twin and AI-based platform for monitoring and managing permanent geological CO₂ storage in deep saline aquifers and depleted reservoirs. The platform combines Physics-Informed Neural Networks (PINNs) that embed porous-media flow physics (Darcy's law, multiphase transport) with multimodal data assimilation from distributed fiber-optic sensing (DAS/DTS), surface microseismic monitoring, and bottom-hole pressure data, enabling near-real-time CO₂ plume forecasting with automated integrity alerts. A Reinforcement Learning module[...]
Name: Marcos Pimentel Mendes

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EDGE-AEMP: Explainable Edge AI for Low-Carbon Critical Infrastructure

Objective of Project Idea:
EDGE-AEMP will develop and validate a secure, explainable edge-AI layer that jointly optimises energy consumption and failure risk across heterogeneous mission-critical assets in telecom, data centres, industrial facilities and smart buildings. Operational data is currently fragmented across SmartMeters(OSOS), BMS, SCADA, batteries, UPS, generators, HVAC and IoT devices, while cybersecurity and data-sovereignty constraints often prevent cloud centralisation. The project will create hardware-independent data connectors, local and air-gapped model lifecycle management, multimodal anomaly and remaining-life prediction, explainable root-cause analysis, and energy-optimisation recommendations. It will build on Atlantis AEMP, which has operated in Türk Telekom's production environment for approximately 18 months, monitoring nearly[...]
Name: Ali Yılmaz

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Proposal key words:G4 Zero carbon buildingK1 IoTK2 Artificial Intelligence

AI-Driven Circular Energy Intelligence Platform for Industrial Decarbonization (ACE-IP)

Objective of Project Idea:
The ACE-IP project aims to develop an AI-powered digital platform that accelerates industrial decarbonization by optimizing energy efficiency, renewable energy integration, and circular resource management. The project will combine Artificial Intelligence, IoT, Digital Twins, predictive analytics, and Life Cycle Assessment (LCA) to support industries, industrial parks, municipalities, and energy operators in achieving carbon neutrality. The platform will continuously collect real-time energy, emissions, and production data through smart sensors and IoT devices. AI algorithms will optimize energy consumption, predict equipment failures, improve renewable energy utilization, and recommend circular economy strategies such as waste heat recovery, industrial symbiosis, and resource reuse. The[...]
Name: Dilek Adalı

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Proposal key words:H1 Demand Side ManagementH3 Energy as a serviceK2 Artificial Intelligence

AI-assisted structural diagnostics for low-carbon renovation and energy-ready buildings

Objective of Project Idea:
The objective is to develop and validate an AI-assisted, non-invasive structural and material diagnostic solution to support low-carbon renovation, energy upgrades and smarter housing/construction decisions for concrete buildings and infrastructure. Energy-transition projects, including photovoltaic integration, deep renovation, adaptive reuse and circular construction, are often delayed because asset owners do not know early enough whether a structure is suitable, whether reinforcement is needed, or what technical risks and renovation budget should be anticipated. Traditional investigations can be slow, invasive and fragmented, creating uncertainty before investment decisions. STRUCMEDICA proposes to combine non-destructive testing, structural assessment, sensor or inspection data, carbonation/CO2 uptake indicators[...]
Name: Ouijdane QACAMI

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Proposal key words:G4 Zero carbon buildingG7 Smart sensorsK2 Artificial Intelligence

RETROFLEX-EU: Sensor-Lean Building Decarbonization Platform

Objective of Project Idea:
We will develop RETROFLEX-EU, a sensor-lean building decarbonisation platform for existing multi-residential, public, commercial and hospitality buildings without dense submetering or modern BMS infrastructure. Using data already available, the platform will estimate actual energy performance, identify losses and prioritise operational and capital measures, targeting 10–25% verified operational savings without additional sensor deployment. We will create a modular architecture that ingests and harmonises bills, main-meter and smart-meter feeds, weather data, EPC registers, GIS/cadastre information and other public datasets. It will combine utility interfaces, a multi-tenant portfolio manager, carbon-accounting functions and an IPMVP-compliant measurement and verification component. Existing meters and data connections[...]
Name: Irena Mesarič

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Proposal key words:G3 Smart metersG4 Zero carbon buildingK2 Artificial Intelligence

Recycled Concrete Fines Activation and CO₂ Mineralization

Objective of Project Idea:
Baticim Cement is an integrated cement producer with expertise in cement manufacturing, alternative raw materials, waste valorisation and low-carbon cement technologies. We are seeking international R&D and technology partners to develop innovative solutions for the valorisation of secondary mineral resources from construction and demolition waste. Our interest is in innovative treatment and activation approaches that can improve the properties and utilisation potential of recovered mineral fractions in low-carbon cementitious systems, including potential CO₂ utilisation pathways. As an industrial partner, Baticim Cement can provide industrial process conditions, material and product testing capabilities, cement formulation expertise and opportunities for pilot and industrial-scale[...]
Name: Gizem Balmuk

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Proposal key words:F7 OtherG4 Zero carbon buildingK2 Artificial Intelligence

iComfort® – Intelligent Retrofit Shower Energy & Water Reduction System

Objective of Project Idea:
WVIP Ltd is developing iComfort®, an intelligent retrofit domestic shower-control technology that is the subject of a pending PCT international patent application. It is designed primarily for standalone electric showers, with adaptation for digital and mixer-shower systems. iComfort is intended to create a new class of domestic shower technology: reducing electricity, hot-water and mains-water demand while maintaining the feel and comfort of a normal shower throughout use. Rather than simply restricting flow or asking consumers to shower for less time, the technology intelligently manages energy, temperature and water delivery so that savings can be achieved with minimal perceived change by[...]

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CIRCULAR-AI: Energy-Efficient AI-Driven Hybrid Waste Sorting and Circular Resource Recovery

Objective of Project Idea:
Project CIRCULAR-AI aims to transform industrial waste sorting lines into low-emission, energy-efficient recovery hubs through a modular retrofit hybrid architecture. Modern municipal and commercial sorting facilities still face high energy consumption, severe material purity bottlenecks, and heavy reliance on hazardous manual labor. CIRCULAR-AI introduces an integrated, three-tier automated separation process designed to maximize circularity: 1. Multi-Class Edge Perception: Real-time tracking, 90+ material classification, and vision-based weight estimation powered by optimized, low-power edge computer vision algorithms. 2. High-Speed Pneumatic Bulk Sorting: Millisecond predictive actuation synchronizing air-jet manifolds for high-throughput bulk separation (>85% recovery rate) with minimal compressed-air energy losses. 3. Precision[...]
Name: Şamil Ercan Özcan

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Proposal key words:G6 Electronics & appliancesG7 Smart sensorsK2 Artificial Intelligence

Plasma Heated Interfluid Transfer System (PIHTS) for High Temperature Industrial Processes

Objective of Project Idea:
The invention belongs to the field of zero-carbon emission heating and energy transfer systems, developed as an alternative to fossil fuel boiler and furnace systems used in industrial processes requiring high temperatures (particularly cement, iron and steel, chemical, and energy production).PURPOSE AND SOLUTION OF THE INVENTION The purpose of the invention is to overcome the aforementioned problems of fossil fuel dependence and engineering complexity by using high-temperature plasma energy. Solution Principle: The invention is based on the transfer of heat from a high-temperature plasma (hydrogen or inert gas based) to a low-cost and reliable Intermediate Heat Transfer Medium (IHTM) without[...]
Name: Kalender Kılıç

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