TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publications
  4. 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
 
Options

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

Citation Link: https://doi.org/10.15480/882.5078
Publikationstyp
Bachelor Thesis
Date Issued
2023-03-20
Sprache
English
Author(s)
Jessen, Andreas  orcid-logo
Advisor
Abel-Günther, Kristin  
Referee
Ammon, Mathias  
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2023-03-23
Institut
Energietechnik M-5  
TORE-DOI
10.15480/882.5078
TORE-URI
http://hdl.handle.net/11420/15213
Citation
Technische Universität Hamburg (2023)
Peer Reviewed
false
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.
Subjects
Tessif
Energy System Analysis
Open Source Software
Computational Resources
Modelling and simulation
constraints
DDC Class
600: Technik
Lizenz
http://rightsstatements.org/vocab/InC/1.0/
Loading...
Thumbnail Image
Name

Bachelorarbeit_Andreas_Jessen.pdf

Size

7.65 MB

Format

Adobe PDF

TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback