Research output per year
Research output per year
Abstract
Hydro power modelling is important to facilitate the integration of large amounts of variable renewable energy. However, appropriately modelling hydro power presents challenges due to its interconnections with both electricity and river systems. The aim of this paper is to investigate the performance of two selected open-source energy modelling tools for hydro power planning, SpineOpt and PyPSA, with a focus on user-friendliness, accuracy and execution time. In this study, a small river system with two hydro power plants is modelled to maximize the revenue using both tools. At the same time, this linear optimization problem is implemented by Gurobi directly, such that results and execution times from SpineOpt and PyPSA are compared with this baseline. In conclusion, both open-source tools can appropriately model the hydro power system, with SpineOpt having a unique graphical interface and PyPSA has a good performance in execution speed.
| Original language | English |
|---|---|
| Title of host publication | 20th International Conference on the European Energy Market, EEM 2024 - Proceedings |
| ISBN (Electronic) | 9798350381740 |
| DOIs | |
| Publication status | Published - 2024 |
| MoE publication type | A4 Article in a conference publication |
| Event | 20th International Conference on the European Energy Market, EEM 2024 - Istanbul, Turkey Duration: 10 Jun 2024 → 12 Jun 2024 |
Publication series
| Series | International Conference on the European Energy Market, EEM |
|---|---|
| ISSN | 2165-4077 |
Conference
| Conference | 20th International Conference on the European Energy Market, EEM 2024 |
|---|---|
| Country/Territory | Turkey |
| City | Istanbul |
| Period | 10/06/24 → 12/06/24 |
Funding
This work has been supported by European Union project MOPO (2023-2026) which received funding from European Union’s HORIZON Research and Innovation Actions under grant agreement N°101095998.
Keywords
- Hydro power modelling
- Linear optimization
- Open-source tools
- PyPSA
- SpineOpt
Fingerprint
Dive into the research topics of 'Comparison of SpineOpt and PyPSA in Hydro Power System Modelling'. Together they form a unique fingerprint.Research output
- 1 Software
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SpineOpt.jl: A package to run an energy system integration model called SpineOpt.
Ihlemann, M. (Developer), Marin, M. (Developer), Dillon, J. (Developer), Rasku, T. (Developer) & Kiviluoma, J. (Developer), 2021Research output: Non-textual form › Software › Scientific
Projects
- 1 Active
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MOPO: Comprehensive, fast, user-friendly and thoroughly validated open-source energy system planning framework
Kiviluoma, J. (PI), Helistö, N. (Participant), Rasku, T. (Participant), Soininen, A. (Participant), Savolainen, P. T. (Participant), Ikäheimo, J. (Participant), Putkonen, N. (Participant), Louis, J.-N. (Participant) & Gutiérrez, A. W. (Participant)
1/01/23 → 31/12/26
Project: EU project