Completed
ERGO – Energy Reduction by Condition-based Monitoring
Unlocking energy efficiency and fault detection with electrical signal analysis Electric motors and rotating equipment—such as pumps, fans, compressors, and conveyors—consume over 40% of global electricity. However, nearly one-third of...
Completed
Smart Maintenance Skillslab
In a Smart Maintenance Skillslab industry and educational institutions can collaborate on new forms of education to solve shortage on the labor market.
ADVANCED PROCESS CONTROL for dynamic operation of a large-scale test electrolyser
In this project we will researching and modelling the impact of variable operation on large-scale test electrolyser performance in green hydrogen.
Completed
IoF – Internet of Food
The Internet of Food (IoF) project defines the sharing of data and models in order to improve sensing systems in food production.
Completed
AIDA – Accelerate the Integration of Digitalisation Acceptation
The AIDA project performs research towards predictive capabilities and integration of digital technologies at the various levels of individual processes.
Completed
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...
R-ACES – FRamework for Actual Cooperation on Energy on Sites and Parks
R-ACES aims to turn high-potential, high-impact industrial clusters into eco-regions with at least 10% reduction in emissions in smart energy.
Fingerprint 2 Footprint
Fingerprint 2 Footprint translates chemical fingerprint measurements inside and near chemical processes to reduce environmental footprints, while retaining or improving process economy and consistency.
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...
CareFree Models for real-time decision-making
Carefree Models puts process model maintenance, adaptation and transfer into an integrated, automated, and predictive framework that quantifies and reduces the overall resources required to sustain process predictivity and resulting...
EBI – Engineering Business Intelligence
The EBI project uses data collection, data analytics and data visualization to reduce energy usage in existing processes by 5-25%.
Completed
GRIP on Drying
This project investigates how inline sensors can help improving product quality and efficiency.
Completed
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...
Completed
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...
Completed
SAAI – Social Acceptance of AI in Industry
The SAAI project focuses on accelerating the implementation of Artificial Intelligence (AI) in industry, leading to an energy use reduction of 5-40%, an increased competitiveness of industry, and increased economic...