Daniel Garcia Yarnoz
Erik Laan
Irina Thaler
Irina Thaler
Associate Chair

According to current predictions, sea levels will rise on average 3 mm/year in the course of this century and the quality of the air we breathe will worsen, taking its toll on our health. These and other adverse effects are exacerbated by the increase in frequency of floods, droughts, wildfires and other disasters due to the changing climate.

Space technologies are essential tools to tackle any global implicating events. Institutional Space based observations of the Earth have provided fundamental insights in the monitoring and modelling of the health of our planet and will continue to do so. The New Space paradigm has now entered the Earth Observation domain and will lead to new business opportunities, specifically with respect to flooding and air-quality. This team project will produce a reference and influential report on the role that space plays in the adaptation and resilience of humanity to the effects of climate change.


Olga.Zhdanovich Olga Zhdanovich1370383200
Olga Zhdanovich
Ruediger Jehn1495490400
Ruediger Jehn

Number of space debris in space orbit are constantly growing. 40000 space debris objects have been catalogued already in 2014 from that 17000 were in orbit. Facing the constant growth of debris in space, several technological solutions have been proposed by space agencies and industry that include deorbiting of debris (so-called “pulling technologies“ by attaching debris to a tether, “pushing technologies” to push debris into an ocean), moving it to safer orbits or salvaging it for reuse on other satellites or spacecraft. At the same time eco-friendly technologies are explored for spacecraft manufacturing to keep space as clean as possible.


Matthew Sorgenfrei
Associate Chair
Rob.Postema 2106 4ba8a1da2f2e7
Rob Postema

We are going back to the Moon! After landing twelve humans on the Moon between 1969 and 1972, today the international space community is developing advanced plans to return to the Moon with human and robotic presence and activities towards the end of the next decade. This time, humans will stay longer, with robotic support, and increase the level of sustainability of the presence along the way.
Both habitation of humans on the Moon as well as the activities themselves will need enabling facilities and services, such as accommodation and life support, communications and, perhaps most importantly, generation and supply/distribution of power.
The aim of the ISU SSP 2018 Team Project “Lunar Night Survival” is to specify a solution for the generation and provision of power in support of the range of activities which are planned to be deployed on the Moon in the near future. The scope of work of the Team Project does not only include the design of the power generation solution, it will also address the deployment and maintenance of the solution, as well as estimation of the costs and the exploitation of the power supply to the different users.


Jan Walter Schroeder1496095200
Jan Walter Schroeder
Energy providers are very dependent on accurate weather forecasting. Mid-term trends can be estimated quite accurately using prediction models and allow good scheduling (e.g. in case of expected high temperatures and the associated use of airconditioning units and power consumption). A major problem are peak loads which have not been predicted. They force energy providers to procure capacity from other sources whereby the cost has a quasi-exponential function with time. In other words, the earlier such peak load can be known, the lower the cost of procuring energy from third sources to compensate this peak load. A typical example is the prediction of clouds around 17.00, when a considerable number of people come daily back from work. At certain periods in time during the year heavy clouds can lead to rather simultaneous switching on of lights, which causes a considerable peak load.
Power companies need to provide the right amount of electricity each day, each hour. This means they have to predict power consumption. Any miss-prediction
means they have to buy more electricity on the spot market at high prices, or sell surplus electricity at low prices. The overall cost they incur here is called “variance charge”. There is therefore considerable interest from energy providers to have more accurate prediction models on weather conditions, with a very high granularity such as hourly updated predictions.
94% of weather forecasting relevant data comes from satellites. However, it is still highly limited due to the small number of satellites. Weather is a classic application where a large number of satellites have a sustained competitive advantage in describing the starting condition of the atmosphere more accurately than fewer satellites. The better the starting conditions are known, the better the forecast. Especially GNSS-RO is a highly promising modality of earth observation which can - when created in large quantities - dramatically increase the accuracy of weather forecasts.