AMS URSES+

Uncertainty Reduction in Smart Energy Systems

How can the transition be made to renewable energy sources in Amsterdam? And what are the infrastructural and spatial implications? With the URSES+ program NWO, Shell, TKI Urban Energy and AMS Institute try to tackle energy challenges in Amsterdam, aiming to enable a rapid transition to a reliable, affordable and sustainable energy system. The URSES+ program consists of eight different projects that all contribute to the reduction of uncertainty for actors in the energy chain by developing the knowledge and tools that are needed for smart energy systems.

Amsterdam Builds Coalition towards a zero-emission built environment (ABC) 
Prof. D. Loorbach & Dr. M. Hisschemöller, Erasmus University Rotterdam
ABC is investigating how to break down the institutional, organisational, mental and technological barriers that prevent the realisation of a new, sustainable residential area by and for its residents. A number of ABC partners developed a technical concept for Centrumeiland in IJburg. In this concept, the installation of an infrastructure for very low temperature heating will be combined with new sanitation facilities. Waste water treatment will also contribute to an affordable, sustainable energy supply. The aim of ABC is to create new forms of cooperation between residents, private parties, institutions and local government in order to realise this energy concept.

Modelling and designing ‘Car as Power Plant’ systems in a real-life environment at Shell Technology Centre Amsterdam and at the Amsterdam Arena Stadium 
Dr Z. Lukszo, TU Delft
CaPP, ‘Car as Power Plant’, is a concept to use parked fuel cell cars as power plants. The research will be conducted in a controlled environment, the Shell Technology Centre Amsterdam, and will increase our understanding of the applicability of CaPP beyond the four walls of the university.

Storing renewable energy in urban households 
Prof. G. Spaargaren, Wageningen University & Research
Storage of renewable energy at the household or neighbourhood level has an enormous potential to contribute to a low-carbon energy system. This research examines how storage can be implemented successfully in urban regions by focusing on the social and organisational aspects. Implementing storage requires new forms of cooperation between existing and new players in the field of smart energy. In addition, storage systems and services need to take into account the preferences and needs of end users. This research aims to contribute to the design of socially robust and sustainable storage models and services.

Energy-based analysis and control of the grid: dealing with uncertainty and markets in an urban environment 
Prof. C. de Persis, University of Groningen
In this project, new models and pricing mechanisms are being developed to take into account the variations in distribution networks in urban areas such as Amsterdam. The increased use of electric cars and charging stations, but also electricity generation using solar panels, for example, means that new methods need to be developed that make the most efficient use possible of urban electricity networks. This will prevent capacity problems in the network.

Aquifer Thermal Energy Storage Smart Grids+ 
Dr T. Keviczky, TU Delft
Aquifer thermal energy systems make use of space under the ground. In areas with high concentrations of buildings, it is important to make optimum use of the space beneath these buildings, so that they can save energy using aquifer thermal energy. This project examines how neighbouring aquifer thermal energy systems can organise the use of the sub-surface themselves, by communicating and coordinating with each other. In this research project, TU Delft and its partners will implement self-organising aquifer thermal energy systems, Museumplein is used as a test site.

Distributed Intelligence for Smart Power routing and mATCHing 2
Dr P. Nguyen, TU Eindhoven
Metropolitan areas with facilities for large events, such as the ArenA, have an important role to play in the application of intelligent energy systems, due to their potential for efficiency improvements and the integration of renewable energy sources. DISPATCH 2 is working on a trial implementation to verify advanced planning and network management mechanisms to deal with energy management challenges. The verification of such innovative solutions in a realistic test environment that includes large, dynamic energy consumers such as the ArenA is valuable both to researchers and relevant stakeholders, as it will help achieve the utilisation and rapid adoption of pioneering energy management solutions and help make them suitable for use in the future energy network.

Future-proof Flexible Charging: dealing with uncertain prices and network constraints 
Dr M. M. de Weerdt, TU Delft
Electric vehicles can improve the quality of life in metropolitan areas, and flexible charging can support the transition to solar and wind energy. For this to happen, charging needs to be planned in periods with a lot of sun and wind, when electricity prices are low. Furthermore, batteries need to be sufficiently charged in a short space of time. However, exactly how much energy can be generated using sun and wind depends on the weather, and the level of charging flexibility depends on the drivers. Recently-developed planning algorithms can accommodate these kinds of uncertainties. Together with Jedlix, we will evaluate the benefit of these algorithms for the charging of electric vehicles. Read more about this topic.

SMARTEST: Smart energy systems in the Amsterdam area: electric vehicles as a gateway to smart and sustainable energy use
Prof. E.M. Steg, University of Groningen
The uptake of electric cars in the Amsterdam area can cause capacity problems for the electricity network. To prevent such problems, people need to make more sustainable use of their vehicles, for example through smart charging and the generation of sustainable energy. We are testing the crucial role of pro-environmental self-identity, which means that people display more environmentally-friendly behaviour if they consider themselves to be environmentally-friendly. We will test how people who did not purchase an electric vehicle for environmental reasons can be encouraged to adopt environmentally-friendly behaviour by increasing their pro-environmental self-identity. Based on the results, business models will be developed to stimulate such behaviour.