Development of a mathematical model quantifying the impact of various parameters on the evolution of the energy volumes deducted by Distribution System Operators (DSO)
A. Vervaecke (ann [dot] vervaecke [at] elia [dot] be), P.E. Labeau (pelabeau [at] ulb [dot] ac [dot] be), J.C. Maun (jcmaun [at] ulb [dot] ac [dot] be)
The energy volumes deducted by DSOs are influenced by various parameters like temperature, the number of frost days, the local wind generation, the photovoltaic production, the number of days in the current month, the number of bank holidays in the month, energy saving techniques (isolation, LED lighting, usage efficiency...). For some of these parameters, Elia has at its disposal part of the useful measurements (wind and PV production) and hence has information on the type of correlation between those parameters and the energy volumes. For other parameters (temperatures, number of frost days, number of bank holidays), Elia has the data sources but currently not the relevant analyses on these datasets. Finally, there are parameters for which Elia has currently no access to related databases (energy saving techniques and policies).
The goal of the proposed master thesis is to find data sources for the missing parameters, possibly by creating an estimation of those parameters based on related data sources. Next, based on data, either collected internally in Elia or externally, the student will develop amodel that will quantitatively prove the correlation between the parameters and the deducted energy volumes. The results will be assessed based on historical data.