Teaching

Lectures ETH Zurich

We contribute to the ETHZ Master Course in Integrated Building Systems and the Bachelor's Degree Program in Architecture.

ETH Courses:

Supervised Semester projects and Master theses

  • Carp Viktor, 2018, Quantification and Reduction Potentials of the CO2 Emissions of the Swiss Building Stock
  • Ehrsam Adrian, 2018, IoT Data Visualizer im Kontext von NEST
  • He Ying, 2018, Performance gap of Swiss buildings Differences between calculated and real consumption of a number of buildings in Switzerland
  • Hehlgans Christopher, 2018, Prelim: data-driven ice-storage modelling
  • Keller Andreas, 2018, IoT Data Visualizer im Kontext von NEST
  • Knapp Hannes, 2018, Optimal Control Strategy for an energy hub at NEST
  • Li Xiang, 2018, Optimal design of distributed energy systems combined with district heating networks simulation
  • Niffeler Mathias, 2018, Analysis of optimum retro fit and energy systems solutions for the Swiss residential building stock
  • Schmid Nicolas, 2018, Data Driven Adaptive Controller Parameterisation: A Bayesian Optimization Approach
  • Schöpke Lukas, 2018, prelim: Datengetriebene Modellierung und Betriebsstrategie von Eisspeicher und Erdsonden
  • Silvagni Andrea, 2018, Comparison of CESAR energy simulation results with SIA standards and real data: Brig–Glis Case Study
  • Srivathsan Srihari, 2018, Characterization of Rural Energy Consumption Patterns on a Broad Geographic Scope
  • Strebel Simon, 2018, Systemoptimierter Betrieb von Tankstellen für Elektrofahrzeuge mit vehicle to grid-Konzepten
  • Thrampoulidis Emmanouil, 2018, Emulation of energy optimization models via machine learning towards the design of a building energy consultant
  • Vital Men Duri, 2018, Study of possible process adaptations in liquid sorption storage with the goal of increasing achievable temperature lift and storage capacity
  • Yuan Qi, 2018, Evaluating the energy performance of the NEST unit Solar Fitness and Wellness
     
  • Bourgarel Sarah, 2017, Iterative simulation and optimization approach for energy performance evaluation of ground source heat pump systems
  • Pacheco Carlos, 2017, Influence of business models on optimal district energy system design
  • Rogenhofer Lennart, 2017, Evaluation of innovative energy supply concepts for multi-family houses
  • Thrampoulidis Emmanouil, 2017, Emulation of energy optimization models via machine learning towards the design of a building energy consultant
  • Tsaousi Raphaela, 2017, The Influence of Participation in Ancillary Service Markets on Optimal Energy Hub Operation
  • Yang Difei, 2017, Renewable Power-to-Gas Integration into a Residential Community
  • Zhou Tian, 2017, Validation of a thermal model of borehole heat exchangers using measurements from a swiss case study
     
  • Brauer Johannes, 2016, Optimal integration of passenger cars in urban energy systems considering different drive concepts
  • Brun Samuel, 2016, Auslegung von einem neuen Energiespeicher basierend auf Batterien und Wasserstoff für das energieautarke Gebäude SELF
  • Christen Michael, 2016, Machbarkeitsstudie: Alkalische Wasserstoffsysteme für die Energiespeicherung in Gebäuden
  • Gasser  Adrian, 2016, Machbarkeitsstudie: Alkalische Wasserstoffsysteme für die Energiespeicherung in Gebäuden
  • Kammerer Simon, 2016, Impact of Demand Response on the Optimal Design and Operation of an Energy Hub in a Residential Building
  • Karjalainen Joonas, 2016, Developing an online set-point optimizer for heat pumps
  • Landolt Jonas, 2016, A bottom-up modelling approach to address sustainable transformation strategies for the Swiss building stock
  • Maurer Kevin, 2016, Auslegung von einem neuen Energiespeicher basierend auf Batterien und Wasserstoff für das energieautarke Gebäude SELF
  • Tsaousi Raphaela, 2016, The influence of participation in ancillary service markets on optimal energy hub operation
  • Westermann Paul, 2016, Modelling of the NEST demonstrator building and application of Model Predictive Control
  • Wu Raphael, 2016, Reliability Optimisation of District Multi-Energy Systems