OpenMod workshop Freiburg 2026 - Lightning Talks and Poster Contributions

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OpenMod workshop Freiburg 2026 - Lightning Talks and Poster Contributions

This topic is to collect lightning talks and poster contributions for the Freiburg workshop scheduled for 28–29 September 2026. The freiburg-workshop-2026 tag lists all topics relevant to this event.

About

Lightning talks are short presentations of up to 5 minutes intended to introduce a project, idea, dataset, challenge, or research question to the community and stimulate informal discussions during the workshop.

Posters could showcase research projects, tools, datasets, case studies, or ongoing work. Poster sessions will be organised during the workshop.

Participants are encouraged to combine a lightning talk with a poster presentation to allow for more detailed exchanges during the poster sessions. Standalone poster or lightning talk contributions are also welcome.

Indicating your Topic

Please reply to this topic to propose your topic by 20.07.2026.

- contribution type: lightning talk, poster, or both
- title:
- presenter(s):
- description: Brief summary of the topic, project, research question, tool, or dataset you would like to present.
- background: Additional background information or context.
- optional link(s): Repository, documentation, project website, paper, etc.

For questions and everything else than contributions - look at the main thread:

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Contribution type: Lightning talk and Poster

Title: Modelling Heat Decarbonisation Pathways in Luxembourg Using PyPSA

Presenter: Sina Hassanzadeh Saraei

Description:
This work presents the development of a multi-scale heating system modelling framework for Luxembourg based on the open-source energy system modelling tool PyPSA. The project focuses on the residential heating sector and integrates a national-level representation of heating demand with a detailed description of heating supply technologies, including heat pumps, district heating systems, and gas boilers. The model represents Luxembourg’s heating sector across different spatial resolutions, while allowing flexible aggregation of demand nodes. Heating supply options are modelled with varying degrees of technical and spatial detail, enabling the analysis of individual technologies as well as hybrid heating configurations.

The optimisation framework determines the heating technology mix, including heat pumps (HP), district heating (DH), and gas boilers (GB), required to satisfy heating demand under different technical, economic, and policy constraints. In addition to purely cost-optimal scenarios, the framework allows predefined shares or minimum deployment levels of specific technologies to be imposed. This flexibility enables the representation of real-world constraints related to social acceptance, technical limitations, infrastructure capacity, and challenges associated with achieving full decarbonisation. The framework can also mimic co-optimisation effects at sub-national and municipal levels. For example, additional constraints or incentives can be introduced to promote district heating deployment in specific communes or regions where local subsidies, infrastructure availability, integration of renewable and waste heat sources, or urban planning strategies favour particular heating technologies.

Therefore, the modelling framework is developed as a flexible platform to support analyses of Luxembourg’s heating transition, including technology mix optimisation, heat pump electrification potential, district heating expansion, gas phase-out pathways, infrastructure constraint assessment, and demand-side flexibility evaluation. The contribution focuses on the modelling methodology, including workflows for integrating heating technologies into PyPSA, representing hybrid heating systems, and implementing scenario-based constraints on technology shares. The framework is designed as a reusable open modelling platform for Luxembourg-specific sector coupling modelling.

Background:
Open energy system modelling frameworks such as PyPSA are increasingly used to study decarbonisation pathways and future energy system transitions. However, heating system analysis often requires a higher level of technological and spatial detail than is typically included in national energy system models, particularly when assessing electrification impacts, district heating potential, and infrastructure constraints at local scale.

Luxembourg is a particularly relevant case study due to the importance of residential heating in its emissions profile and the diversity of feasible decarbonisation options, including heat pumps, district heating, and residual gas-based systems. The country’s transition pathway is strongly influenced by electricity network constraints, urban density patterns, and the feasibility of large-scale deployment of alternative heating technologies. This work therefore develops a multi-scale modelling approach in which detailed heating technology representation is embedded within a national optimisation framework. The resulting model provides a foundation for analysing not only cost-optimal heating transitions, but also constrained and policy-driven scenarios reflecting real-world implementation challenges and regional heterogeneity in Luxembourg’s heating sector.

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Contribution type: Lightning talk and Poster

Title: A Multi-Scale PyPSA-Based Electricity System Model for Luxembourg: Combining European System Representation with a Detailed National Grid Model

Presenter: David Romero-Quete

Description:
This work presents the development of a multi-scale electricity system modelling framework for Luxembourg based on the open-source platforms PyPSA and PyPSA-Eur. The project combines a continental-scale European electricity system representation with a highly detailed transmission network model for Luxembourg and neighbouring regions in Germany, France, and Belgium.

The proposed methodology aims to bridge the gap between large-scale European electricity system models and detailed national transmission studies. The framework integrates a simplified representation of the wider European system using bidding-zone aggregation and NTC-based interconnections, while modelling Luxembourg and its neighbouring transmission infrastructure with significantly higher spatial and technical detail. This includes substations, transformers, transmission lines, and cross-border interconnections.

The resulting hybrid framework enables simultaneous representation of regional system interactions and local operational constraints within a unified optimisation environment. The model is being developed as a flexible platform to support multiple types of analyses related to Luxembourg’s electricity transition. Initial applications include first-approximation Resource Adequacy Assessment (RAA) studies, transmission bottleneck identification, renewable integration studies, storage and flexibility assessment, electrification scenarios, and cross-border dependency evaluation.

Beyond adequacy-oriented applications, the framework is intended to support broader analyses aligned with Luxembourgish and European decarbonisation objectives, including increasing renewable penetration, electrification of demand sectors, storage integration, flexibility deployment, and transmission infrastructure reinforcement planning.

Particular emphasis is placed on representing Luxembourg’s unique characteristics within the interconnected European electricity system. Due to the country’s relatively small domestic generation fleet and strong dependency on neighbouring systems, realistic modelling of cross-border exchanges and transmission constraints is essential for evaluating future operational and planning challenges.

The contribution focuses primarily on the modelling methodology itself, including workflows for integrating detailed transmission data into PyPSA-Eur, combining different spatial resolutions within a single optimisation framework, and creating a reusable open modelling platform for Luxembourg-specific electricity system studies. Future sector-coupling developments can subsequently build upon this electrical modelling foundation.

Background:
Open electricity system modelling frameworks such as PyPSA and PyPSA-Eur are increasingly used to analyse decarbonisation pathways and future power system evolution at continental scales. However, national-level studies often require substantially higher technical and spatial resolution than what is typically available in large European models, particularly for analyses involving transmission constraints, infrastructure adequacy, operational flexibility, and electrification impacts.

Luxembourg represents a particularly relevant case study because of its strong electrical interconnection with neighbouring countries and its ongoing energy transition objectives. The country’s future electricity pathways are closely linked to cross-border exchanges, renewable integration, electrification trends, storage deployment, and regional infrastructure evolution. Capturing these interactions requires modelling approaches capable of representing both detailed local infrastructure and broader European system conditions.

This work therefore explores a hybrid modelling strategy in which a detailed Luxembourg transmission network is embedded within a wider PyPSA-Eur framework. The resulting model serves as a foundation for future analyses related not only to adequacy and operational resilience, but also to broader questions associated with decarbonisation, flexibility, and long-term electricity infrastructure planning.