Sebastian Wolf: Air pollution and the emission of greenhouse gases are a major problem, not least in urban environments.
Therefore, in many countries there consists a consensus that reducing the use of fossil fuels and increasing the share of renewable energies are inevitable. Due to the stochastic behaviour of most renewables a good coordination between energy production and consumption is necessary. This requires a good understanding of the current energy use, such as the occupant behaviour in buildings. The smart meter rollout in Europe and the availability of inexpensive sensors make it possible to analyse energy use on a big scale, given that suitable instruments exist.
This collaborative DTU-NTNU project on Smart Zero Emission Cities aims to develop a methodology to derive information about building characteristics and occupant behaviour in buildings using the tools of statistical modelling and time series analysis. With this, it contributes to a better understanding of energy use and thus supports the integration of renewable energies.
PhD project title: Statistics and Data Analytics on Smart Zero
Effective start/end date 15/09/2016 → 14/09/2019
Supervisor: Henrik Madsen (Main), Section for Dynamical Systems at DTU Compute, and John Krogstie