Companies and industries, in particular, play a central role in pursuing national decarbonisation targets, in line with European policies for 2030 and 2050. | 2030 Climate target55% reduction in GHG net emissions compared to 1990 levels | 2040 Climate target90% reduction in GHG net emissions compared to 1990 levels | |
However, while several sectors can make significant progress simply by altering their energy sources and the origin of their raw materials, this is not the case for industry, particularly the chemical and manufacturing sectors, which either rely on carbon as a raw material or generate it as an unavoidable byproduct. | |||
2050 Long-term strategyCarbon neutrality | |||
To address this challenge, the implementation of Carbon Capture and Utilisation (CCU) processes is essential. |
Successfully integrating CCU technologies in existing industrial processes requires solutions tailored to each factory’s unique conditions. This calls for a careful selection, design, and optimisation process to seamlessly integrate CCU technologies while meeting environmental and financial targets.
The CCU-Tailor will serve as a decision-making tool, assessing a wide range of CCU options and optimising their operating conditions based on key performance indicators.
By identifying the most effective strategy for real manufacturing environments in a timely manner, this tool will help industries navigate towards decarbonisation while ensuring its profitability.
The main innovation around the CCU-Tailor software lies in its ability to generate and evaluate a wide range of possible combinations of CO₂ capture and utilisation processes. By integrating various technological pathways, economic considerations, and environmental impacts, it enables the identification of the most efficient and sustainable solution.
Our target customers are industrial companies whose processes impact the carbon cycle and wish for tailored CCU solutions. The CCU-Tailor software, combined with expert consulting, provides customised process design and optimisation without the need to invest in unfamiliar software and training that would likely be used only once, ensuring both cost efficiency and specialised support.