Filters

2021 - 20234

Settings

Now showing1 - 4 of 4
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Publication, Access status: with files ,
    Entwicklung eines klimaneutralen Fernwärmenetz-Modells unter Einsatz von Open-Source-Optimierungssoftware mittels eines Datenharmonisierungsframeworks
    (2023-03-27)
    Zickert, Leon
    ;
    Abel-Günther, Kristin
    In order to achieve the German climate goals, a transformation of district heating towards climate-neutral heat generation is required. Energy system modeling is of great importance for the investigation of such transformation processes. In this work, the Python-based framework Tessif is used to model the climate-neutral supply structure of a German city in the software PyPSA, Oemof and Calliope using a common data input and output. In particular, the selection of the input data and the optimization results are discussed.
    Publicationtype: Report
      151  234
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Publication, Access status: with files ,
    Developing a method for estimating the computational resources required for optimising energy supply system models when using different software tools through a framework for input data harmonisation
    (2023-03-20)
    Jessen, Andreas
    This thesis describes and shows results of a method for comparing the computational resources required by different modelling tools to optimise energy system models. The method relies on a software called Tessif, a framework that unifies the data input and output of multiple Free and Open Source Software (FOSS) energy system modelling tools. Multiple energy system models are created in tessif through which they are then transformed to and optimised with each of the investigated modelling tools, which are Calliope, Fine, Oemof and Pypsa. The time elapsed while doing this and the memory usage are measured. Additionally the number of constraints that are used by the modelling tools to describe the models are recorded. The number of constraints can be used to assess the complexity of a model and is used in this thesis to allow the comparison of results of different energy system models. The measurements show that with the exception of Calliope the resource usage for the investigated modelling tools scales linearly and is on a relatively similar level. Both Calliope’s memory usage and the required time are significantly higher. The measurements further show that the difference in resource usage directly correlates with the difference in the number of constraints with the exception of Calliope’s memory usage which increases quadratically while the corresponding number of constraints only increases linearly.
    Publicationtype: Bachelor Thesis
      132  425
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Publication, Access status: with files ,
      82  135
  • Some of the metrics are blocked by your 
    consent settings
    Item type:Publication, Access status: with files ,
    Entwicklung eines methodischen Datenblatt generierenden Vergleichs für Free Open Source Energiesystem-Simulationssoftware anhand eines Fallbeispiels mit den Software-Tools Oemof und PyPSA
    (2021)
    Körber, Cedric
    ;
    Abel-Günther, Kristin
    The present scientific work develops a method for comparing "Free Open Source Energy System Simulation Software" (FOSESSyS). A data sheet is generated on the basis of which the comparison takes place. With the help of a case study, an exemplary implementation of the method is then presented. Within this case study, a model of the electricity and heating network of the City of Hamburg created and examined using the software tools oemof and PyPSA. For this purpose, suitable scenarios are developed based on current emission targets. The data required to parameterize the model are obtained exclusively from open data sources. Any processing is done using "Free Open Source Software". The present work thus contributes to the "Open Science" movement.
    Publicationtype: Bachelor Thesis
      284  560