Modelling and optimisation of future energy systems using spatial and temporal methods [Elektronische Ressource] / Markus Biberacher

Modelling and optimisation offuture energy systems usingspatial and temporal methodsDissertationfor the degree of a Doctor of natural scienceMarkus BiberacherInstitute for physics,Experimental plasma physics,University of AugsburgMax-Planck-Institute for plasma physics,GarchingAugsburg, April 2004Erstgutachter: Prof. Dr. Kurt BehringerZweitgutachter: Prof. Dr. Alois LoidlTag der mundlic hen Prufung: 8. Juni 2004SummaryThe energy system needs to undergo major transformations before the system willful ll major sustainability criteria. Modelling of the system is necessary to under-stand most of these changes.The challenge of modelling energy systems can be tackled using many di eren t ap-proaches and methodologies. The choice of approach is normally dependent on theintended aims of the investigation { be these an emphasis on economic or ecologi-cal aspects, on the short or long term, on local, regional or global systems, and so on.This thesis sets out a modelling approach that is particularly suited to systemswith signi can t geographical and temporal dependency, for instance, systems withnumerous renewable energy supply technologies.This new approach is implemented in the software tool TASES (Time And Spaceresolved Energy Simulation). At the centre of TASES is a exible data structure.