Energy System Uncertainty Catalog
Authors/Creators
Description
Energy System Uncertainty Catalog
A structured catalog of uncertainties for energy-system modelling, covering parametric, structural, and temporal uncertainties across renewable energy, heat, bioenergy, Power-to-X/hydrogen, storage, imports, grid infrastructure, and demand sectors.
The catalog is designed to support uncertainty analysis, sensitivity analysis, scenario development, and model robustness assessment in integrated energy-system models.
Overview
Energy-system models are affected by multiple sources of uncertainty, including uncertain technology costs and potentials, modelling assumptions, system constraints, demand evolution, and weather-dependent time series. However, these uncertainties are often treated inconsistently across studies.This repository provides a structured and traceable catalog of relevant uncertainty parameters that can be used to systematically identify and characterize uncertainty in energy-system models.
The catalog distinguishes between three main uncertainty classes:
- Parametric uncertainty — uncertainty in numerical model inputs such as investment costs, technology efficiencies, capacities, potentials, and technical parameters.
- Structural uncertainty — uncertainty arising from modelling choices, system representation, constraints, optimization assumptions, and technology inclusion/exclusion.
- Temporal uncertainty — uncertainty associated with weather years, demand profiles, time series, and other time-dependent model inputs.
Uncertainty Catalog.xlsx
The workbook contains the following sheets:
Main
Provides an overview of the uncertainty classification and technology categories used throughout the catalog.Parametric
Contains numerical model parameters and their associated uncertainty ranges.Each parameter includes information such as:
| Field | Description |
|---|---|
| ID | Unique uncertainty identifier |
| Parameter | Parameter name |
| Technology Category | Relevant technology or sector |
| Model Component | Specific model component |
| Sector | Electricity, heat, gas, etc. |
| Unit | Parameter unit |
| Baseline | Reference value |
| Lower Bound | Lower uncertainty boundary |
| Upper Bound | Upper uncertainty boundary |
| Uncertainty Type | Epistemic, aleatory, or mixed |
| Reference Plot | Location of supporting reference data |
| Source / Reference | Literature and data sources |
| Justification | Rationale for the selected uncertainty range |
| Description | Interpretation of the parameter |
| Parameter Name in Model | Corresponding model variable |
Structural
Contains uncertainties associated with the formulation and structure of the energy-system model.Examples include:
- Temporal resolution
- CO₂ constraints
- Grid losses
- Storage operating assumptions
- Optimization approach
- Penalty costs
- Technology inclusion/exclusion
- Alternative system configurations
Temporal
Contains uncertainties related to time-dependent inputs and scenarios, including:- Wind generation profiles
- Rooftop PV profiles
- Open-field PV profiles
- Solar-thermal generation
- Electricity demand
- Heat demand
- Gas demand
The catalog distinguishes between aleatory uncertainty, such as interannual weather variability, and mixed uncertainty, where both variability and modelling assumptions contribute.
Sources
Contains the literature and other sources used to derive or justify the uncertainty ranges.Reference plot
Contains the reference information used to derive selected numerical uncertainty ranges for technology parameters.Files
Energy-system-uncertainty-catalog-uncertainty.zip
Files
(59.5 MB)
| Name | Size | Download all |
|---|---|---|
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md5:f7a6ff06b49b2fc1ba36f75a8468c03e
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59.5 MB | Preview Download |
Additional details
Software
- Repository URL
- https://github.com/in-RET/Energy-system-uncertainty-catalog.git
- Development Status
- Active
References
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- Frenkel, Christoph; Hofmann, Laura; Liebe, Jana; Oderdorfer, Amélie; Reinhardt, Theresa; Schmidt, Christoph et al. (2021): So geht's. Wie Thüringen klimaneutral wird - die Ergebnisse der Energiesystemmodellierung. Nordhausen: Hochschule Institut für Regenerative Energietechnik (in.RET).
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- Deutsche Energieagentur (Hg.), "dena-Leitstudie Integrierte Energiewende", Berlin, 2018
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- T. Weber, "Thüringen: Strom aus Wind- und Solarparks mit 23 Gigawatt würde am wenigsten kosten," Erneuerbare Energien, Jan. 2026. [Online]. Available: https://www.erneuerbareenergien.de/transformation/netze/thueringen-strom-aus-wind-und-solarparks-mit-23-gigawatt-wuerde-am-wenigsten-kosten
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- R.Bala Krishnan | H. Hauer-Berghuis | L. Hofmann | A.Lubojanski | S. Neldner | A. Oberdorfer | T.Reinhardt | C. Rothe | C. Schmidt | V. Wesselak (Projektleitung); Szenarien zur Entwicklung des Thüringer Energiebedarfs bis 2045, Oktober 2023