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Netherlands Organisation for Applied Scientific Research
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960 Projects, page 1 of 192
  • Funder: European Commission Project Code: 101135245
    Funder Contribution: 2,499,720 EUR

    LaiQa comes as a technology intensive research and innovation action aiming to develop and advance critical components and technologies necessary to build a global spaced-based quantum network. LaiQa envisions to realize unconditionally secure quantum communications over long distances bringing functional QKD components together with advanced system integration techniques towards deployable space-QKD systems. The project's objectives will include the development of space-deployable, high-brightness 1550 nm entangled photon pair source (EPPS), a space-suitable Decoy State - BB84 Prepare and Measure (P&M) source, a photonic integrated EPPS for next-generation on-board sender stations, a quantum memory for long-distance entanglement distribution, an advanced fiber-coupling/adaptive optics system for converged space/terrestrial QKD segments, and software components towards the optimization of LaiQa architecture. The project will demonstrate P&M- and entanglement based QKD systems both in lab/terrestrial FSO testbeds and in field demonstrations in Helmos optical ground station (OGS). LaiQa will also mobilize its consortium to prioritize standardization activities that focus on space components for P&M- and entanglement-QKD, consider interfaces and parameters for them to propose specification standards and potentially trigger new standardization activities within EU.

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  • Funder: European Commission Project Code: 282910
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  • Funder: European Commission Project Code: 963527
    Overall Budget: 3,411,130 EURFunder Contribution: 3,411,130 EUR

    The iSTORMY project will propose an innovative and interoperable hybrid stationary energy storage system based on: modular battery pack (stacks/modules) + modular power electronics (PE) interface + universal Self-healing energy management strategy (SH-EMS). In particular the project will investigate and demonstrate: 1. Modular battery pack with hybridization at stacks/modules level (incl. slave pBMS) with a new universal BMS (adaptive interfaces + accurate SoX) at the top of the battery system for easy and fast integration and control. The hybridization will consist of different battery types or same type with different capacities (first and second life) and a smart modular solution will be developed to integrate the cooling system among modules or stacks. 2. Modular PE interface based on SiC devices with high efficiency (topology + adaptive local controller) and Digital Twin modeling. 3. Universal SH-EMS (based on machine learning and online algorithms) including the aging and thermal constraints for failure mechanisms.

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  • Funder: European Commission Project Code: 260165
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  • Funder: European Commission Project Code: 101147618
    Overall Budget: 4,263,620 EURFunder Contribution: 4,263,620 EUR

    GO-Forward aims to develop a novel methodological approach to make more accurate pre-drilling predictions of geothermal reservoir properties and thus reduce the mining risk. Key to the GO-Forward approach is to simulate geological processes for pre-drill assessment of reservoir structure and properties, calibrated to geological or geophysical data, rather than extrapolating the properties from those data with geostatistical methods. To this end, GO-Forward focuses on extending and further developing, testing and demonstrating the added value of forward modelling methods originally developed for hydrocarbon exploration, including stratigraphic forward modelling (SFM), diagenesis forward modelling (DFM) and fracture network forward modelling (FFM), to be used for exploration in different geothermal settings of high relevance for Europe. First, the developed approaches will be tested and calibrated in areas with abundant subsurface information and production data, to prove conceptually the applicability of the methods and reproducibility of the results, to optimise and de-risk geothermal exploration. Calibrated model approaches are subsequently applied in areas with limited data availability to demonstrate their capability to increase pre-drill Probability of Success (POS). To support the workflow and further reduce exploration costs, GO-Forward advances ML-based and computational methods to enhance (existing) (sub)surface information for calibration, uncertainty quantification and data assimilation, and (upscaling) routines for flow simulation, DNSH, and techno-economic performance assessment for POS and Value of Information (VOI). In addition, GO-Forward addresses public awareness of geothermal developments already at the early stages of exploration. By including novel approaches to citizen engagement and stakeholder dialogue, we aim to increase the societal readiness level of geothermal exploration as the first step of geothermal developments.

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