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Developing and showcasing a method for choosing and comparing energy supply system modelling and optimisation software
Citation Link: https://doi.org/10.15480/882.9690
Publikationstyp
Doctoral Thesis
Date Issued
2024
Sprache
English
Author(s)
Advisor
Referee
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2024-04-24
Institute
TORE-DOI
Citation
Technische Universität Hamburg (2024)
The Paris Agreement under the United Nations Framework Convention on Climate Change aims to reduce global greenhouse gas emissions, targeting a maximum 2-degree Celsius temperature increase this century. A key strategy involves increasing renewable energy share and storage capabilities within existing energy supply system infrastructures, necessitating major restructuring processes. Energy supply system modelling and optimisation software can facilitate these changes, which resulted in many commercial and open-source tools with varying backgrounds, objectives, and use cases.
Researchers, engineers, and decision-makers face challenges in selecting the most appropriate software for specific purposes. Although structured comparisons of available options are valuable case and tool-specific nuances often only emerge during result analysis. The current literature lacks a comprehensive result-based approach for choosing energy supply system modelling and optimisation software.
This thesis proposes a result-based Comparative Method for selecting and comparing energy supply system modelling and optimisation software, enabling systematic comparison centred on optimisation results. The Comparative Method encompasses a rigorous preselection phase, a modelling step, and a versatile, application-oriented result-analysis phase. In addition, an outside-of-this-method reusable structured procedure involving a graph-theory-inspired post-processing strategy for energy supply system models is proposed.
To support the scientific community in terms of compiling result-based comparisons, several energy supply system model scenario combinations have been devised. These address modern energy infrastructure challenges and serve as a basis for generating result-based comparisons in subsequent research. In this work, the developed combinations are utilised during an extensive case study to compare four modern, highly capable free and open-source software tools and to illustrate the method's features and applicability.
As part of this research, a free and open-source software framework, called Tessif, is developed to streamline the execution of the derived Comparative Method during the case study. Thereby, Tessif is designed to also generally assist in modelling energy supply systems and be applicable beyond the scope of this thesis.
In conclusion, this work provides a comprehensive summary of insights on modelling and optimising energy supply systems, along with the associated software. It presents recommendations for prospective software users and outlines a set of core features for the advancement and development of future modelling tools.
Researchers, engineers, and decision-makers face challenges in selecting the most appropriate software for specific purposes. Although structured comparisons of available options are valuable case and tool-specific nuances often only emerge during result analysis. The current literature lacks a comprehensive result-based approach for choosing energy supply system modelling and optimisation software.
This thesis proposes a result-based Comparative Method for selecting and comparing energy supply system modelling and optimisation software, enabling systematic comparison centred on optimisation results. The Comparative Method encompasses a rigorous preselection phase, a modelling step, and a versatile, application-oriented result-analysis phase. In addition, an outside-of-this-method reusable structured procedure involving a graph-theory-inspired post-processing strategy for energy supply system models is proposed.
To support the scientific community in terms of compiling result-based comparisons, several energy supply system model scenario combinations have been devised. These address modern energy infrastructure challenges and serve as a basis for generating result-based comparisons in subsequent research. In this work, the developed combinations are utilised during an extensive case study to compare four modern, highly capable free and open-source software tools and to illustrate the method's features and applicability.
As part of this research, a free and open-source software framework, called Tessif, is developed to streamline the execution of the derived Comparative Method during the case study. Thereby, Tessif is designed to also generally assist in modelling energy supply systems and be applicable beyond the scope of this thesis.
In conclusion, this work provides a comprehensive summary of insights on modelling and optimising energy supply systems, along with the associated software. It presents recommendations for prospective software users and outlines a set of core features for the advancement and development of future modelling tools.
Subjects
Tessif
oemof
PyPSA
fine
Calliope
Energy Supply System Modelling and Optimisation
Energy System Optimisation
DDC Class
333.7: Natural Resources, Energy and Environment
620.1: Engineering Mechanics and Materials Science
004: Computer Sciences
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Mathias-Ammon-2024_Developing-and-Showcasing-a-Method-for-Choosing-and-Comparing-Energy-Supply-System-Modelling-and-Optimisation-Software.pdf
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