News & Events

As a ‘climate university’, TU Delft aims to be carbon neutral and circular by 2030. Information regarding CO2 emissions on campus is essential to realising this ambition. The CO2 performance ladder methodology has now been used to map emissions in 2019.

Hydrogen is playing an increasingly important role in the transition to a completely sustainable economy. Right now it is already being used on a large scale in industry, but it is also being used more often for sustainable energy storage and as a fuel for large and heavy vehicles in particular. There are plans for converting the existing natural gas network into a hydrogen network. However, under certain circumstances hydrogen is a combustible and sometimes even an explosive gas, so it is important to track down the tiniest hydrogen leaks as quickly as possible. This makes cheap, reliable and small sensors that can quickly detect small amounts of hydrogen of vital importance. Researchers at TU Delft have now developed a material that is extremely suited to this task.

A large consortium led by TU Delft is going to provide ‘brains’ to buildings. The Dutch Ministry of Economic Affairs and Climate Policy has allocated 6.9 million euro to the Brains 4 Buildings project.

The Dutch Ministry of Economic Affairs and Climate Policy has allocated 5.7 million euro to FLEXINet. In the upcoming years, the FLEXINet consortium will develop hybrid energy storage systems – capable of storing both heat and electricity. Pavol Bauer, professor at TU Delft and project leader and coordinator: ‘The aim of FLEXINet is a system that accelerates the energy transition. We hope to make a substantial contribution to reaching climate targets by cleverly combining various techniques – think of blending recycled batteries with flexible heat pumps and the charging of electric cars.’

A large consortium led by TU Delft is going to provide ‘brains’ to buildings. The Dutch Minis-try of Economic Affairs and Climate Policy has allocated 6.9 million euro to the Brains 4 Build-ings project. The objective of the project is to contribute to the development of smart meth-ods and algorithms that add operational intelligence to buildings, in order to make them as energy efficient and comfortable as possible. Professor and scientific coordinator Laure Itard: “Buildings’ energy systems have become so complex that their real time control cannot be achieved by traditional methods. We need much clever approaches using the potential of machine learning and artificial intelligence.”