- EECON Lab
Energy Economics Lab
The EECON Lab supports the energy transition through energy economic research in three key areas. First, it analyzes individuals' behavior toward renewable energy, participation, and consumption flexibility using laboratory experiments and virtual reality. Second, the lab supports structural change in Lusatia through market analyses and surveys to assess value creation and employment in the transition to decentralized energy supply. Third, it models energy systems to optimize market designs and improve demand forecasts using econometrics and machine learning. the aim isto better understand complex systems, to take uncertainties into account and to shape the transformation of the energy system on a scientifically sound basis.
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Project management
Prof. Dr. Felix Müsgens
Prof. Dr. Wolfram Berger
Prof. Dr. Jan Schnellenbach
(the latter two succeeding Prof. Dr. Stefan Zundel)
Research group leader
Background and objectives
The European languages are members of the same family. Lor separately exists and is a myth. Por scientie, musica, sport etc, litot Europe usa li sam vocabulary. Li lingues differe solmen in li grammatica, li pronunciation e li plu common vocabules. Omnicos directe al desirabilite de a new lingua franca:
On refusa continuar payar custosi traductores. At solmen va esser necessary far uniform grammatica, pronunciation e plus sommun paroles. Ma quande lingues coalesce, the grammatica del resultant lingue es plu simple e regulari quam ti del coalescent lingues. The new lingua franca is more simple and regular than it exists in European languages. It is simply as Occidental in fact, it is Occidental. A un Angleso it va semblar a simplificat Angles, quam a skeptic Cambridge amico dit me que Occidental es.
Profile
- EECON Lab
Challenge/Task
The energy mix, energy dependency, and geopolitical risks can significantly affect electricity price development and thus the affordability of electricity in a country.
Application/Practice
- Political decision-makers: Development of suitable strategies for energy production, distribution and imports.
Solution/Approach
- The aim of the research is to quantify the impact of different types of energy security risks on electricity prices for private households.
- EECON Lab
Challenge/Task
- Bioenergy plants can cause local external effects, including odor nuisance and visual impairment.
- These effects can lead to a decrease in property values and provoke local resistance.
- A deeper understanding of these effects is crucial.
- Importance for optimizing the choice of location
- Relevance for the social acceptance of bioenergy plants
Application/Practice
- Energy companies: Optimizing the choice of location for the plants to minimize the impact on the environment and maximize acceptance.
- Political decision-makers: Development of data-driven building guidelines.
- Real Estate Companies: Real Estate Professionals: Providing insights into the valuation of properties near biogas plants.
Solution/Approach
- We quantify the effects of bioenergy plants on property values using advanced econometric models and wind data analysis.
- EECON Lab
Challenge/Task
- Investments in the energy system require a solid planning basis
Application/Practice
- Planning and optimization of energy systems in various areas
- Simulation of the impact of renewable energies and storage solutions
- Analysis of the economic efficiency of existing plants and new investments
- Support in political decision-making processes and strategic planning
Solution/Approach
- Predictions and scenario analysis with operations research
- EECON Lab
Challenge/Task
- Analysis of public communication (e.g., news) on topics related to the energy transition using AI applications
Application/Practice
- Investigation of communication regarding the energy transition in international, national and regional news broadcasts
- Temporal, quantitative and qualitative evaluation and quantification of media discourses
- Basis for research on the causal effects of media communication on individual attitudes and behavior patterns
Solution/Approach
- Natural Language Processing – approach involving sentiment analysis and topic modeling
- Development of a precise Large Language Model for capturing tonality and thematic structure
- EECON Lab
Challenge/Task
- Local resistance to infrastructure projects/energy transition project
Application/Practice
- Presentation of wind power and solar projects
- Visualization of additional infrastructure (rail transport driver CCS, pipeline driver H)2-Business)
- Illustration of new industrial plants (e.g., replacement of blast furnaces by reduction plants in the steel industry)
Solution/Approach
- VR visualization of landscape interventions and acceptance factor analysis
Publications
- EECON Lab
- EECON Lab
- EECON Lab
- EECON Lab
- EECON Lab
- EECON Lab
