Urban Future Outline (UFO) aims to establish a platform for interdisciplinary research on urban spaces. Within the framework, experts from different disciplines (arts and engineering, natural and social sciences) develop innovative solutions for the cities of the future. UFO frames three research areas: Future Mobility (FuMob), Future Ecosystem (FuEco), and Future Energy (FuEne).
Future Energy focuses on new ways to implement sustainable, robust energy systems successfully. The challenge is to develop a holistic approach combining different disciplinary perspectives by integrating social and environmental factors into the engineering process of the identification, planning and implementation of energy scenarios.
The contribution of the Institute of High Voltage Technology (IFHT) is the analysis, presentation and development of consistent future scenarios for the energy supply in Germany until the year 2050. in the European context. Outputs are possible future scenarios for Germany and the systematic evaluation of the scenario parameters and their dependence on technical, economic, environmental and socio-political factors.
Acceptance of different types of energy will be investigated empirically by the Communication Science/ Text Linguistics research group. Research will focus on the circumstances under which stakeholders are willing to accept the energy turnaround. By applying Conjoint Analyses, it will be explored which trade-offs are made between different acceptance-relevant factors. In the project, linguistically refined Text Mining methods are used to investigate how stakeholder groups experience alternative energy scenarios depending on their living environment (area, region, city versus village) and related attitudes. Furthermore, user factors and their influence on acceptance are analyzed.
The Institute for Environmental Research develops ecological parameters and constraints to assess the feasibility of different energy scenarios in a multi-factorial and interdisciplinary context. Therefore, general ecological drivers are integrated into the assessment based on theoretical domain knowledge and scenario-specific determinates from empirical investigations. To derive required indicators and resulting causal models, deterministic and spatially explicit as well as multivariate, statistical methodologies are applied.
The climatology research group will deliver wind energy potentials for different case study locations. The focus will be on an investigation of urban wind fields for the potential use of small wind converters in urban space by applying a numerical model.
Prof. Dr. Armin Schnettler
High Voltage Technology
RWTH Aachen University
Schinkelstraße 2, D-52056 Aachen
+49 241 80 94931
Prof. Dr. Martina Ziefle
Human-Computer Interaction Center
RWTH Aachen University
Campus-Boulevard 57, D-52074 Aachen
Information Systems and Databases, RWTH Aachen University
Physical Geography and Climatology Group, RWTH Aachen University
Textlinguistics and Technical Communication, RWTH Aachen University
Environmental Biology and Chemodynamics, RWTH Aachen University