ISPT Projects

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ADVANCED PROCESS CONTROL for dynamic operation of a large-scale test electrolyser

This project is about researching and modelling the impact of variable operation on large-scale test electrolyser performance. Optimal control strategies will be developed with the goal to improve operational efficiency.  The large-scale production of hydrogen from...
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Engineering Business Intelligence

EBI – Engineering Business Intelligence

To take the scope, quality and impact of data collection, data analytics and data visualization to a new level in the process industry. Incentive Process-control,-monitoring and predictive maintenance are well-known...
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Reducing energy use and material loss by better control of agglomeration during spray drying

This project aims to improve agglomeration control in industrial spray dryers, which can reduce energy use and off-spec powder production in the powder production chain. The project investigates scaling-relations to...
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R-ACES – FRamework for Actual Cooperation on Energy on Sites and Parks

The vision of R-ACES is to support high-potential industrial parks and clusters to  become ecoregions that reduce their CO2 emissions by at least 10%. They do so by exchanging surplus...
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Measurements 4 Management

The aim of Measurement for Management (M4M) is to develop operational predictive technologies that (1) are transparent and include all available process information, (2) provide predictions of Key Performance Indicators...
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GRIP on Drying

Industrial cases for in line sensoring This project investigates how in line sensors can help improving product quality and efficiency in 5 industrial cases, using a large consortium of end...
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VERA – ACCELERATION ENERGY TRANSITION REALIZATION APPROACH

Heat pump technology has a lot of potential. For instance to reduce energy-use, promote electrification, and stimulate circularity in industrial processes. However, the success of industrial heat pump technology strongly...
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WeCare – We Create Awareness & Reduce Energy

The WeCARE project demonstrated the possibilities of Artificial Intelligence technology of EnergQ at a selected number of end users. EnerGQ’s self-learning energy management technology unveiled the excessive energy consumption and with that...
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IMPROVISE – Improved process operation via rigorous simulation models

Improved daily operations of important chemical processes in the Dutch chemical industry through operation technology based on detailed physical models. Incentive Being able to anticipate what a chemical process is...
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INSPEC – Integrating sensor based process monitoring and advanced process control

INSPEC quantitatively integrates information from state-of-the-art Process Analytical Technology, process measurements and dynamic process models (data driven or physics-based) into Advanced Process Control. This will induce a step-change with respect to...
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ERGO – Energy Reduction by Condition-based Monitoring

Using SAM4 to detect energy-inefficiencies and realize energy reduction. Semiotic Labs’ SAM4 provides a novel and unique approach to condition monitoring for critical AC motors and rotating equipment such as...
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AIDA – Accelerate the Integration of Digitalization Acceptation

The AIDA project The AIDA project performs fundamental and applied research towards predictive capabilities and the integration of digital technologies at the various levels of individual processes, site level and...
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