RESILIENT

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Resilient (Resilient Energy System Infrastructure Layouts for Industry, E-Fuels and Network Transitions)

About

The energy transition faces many uncertainties, yet planning tools are often deterministic. Our proposal aims to develop the first truly multi-vector energy infrastructure planning tool that represents this uncertain environment at regional, national, and European levels.

We will build on the widely used, open-source sector-coupled energy planning tool PyPSA-Eur, by adding stochastic optimization capabilities and a deeper representation of industry transformation, e-fuel conversion, biomass, and carbon capture infrastructure.

Our analysis will consider uncertainties such as fuel and technology costs, hydrogen availability, network expansion delays for electricity, hydrogen, and carbon dioxide, value chain restructuring in industry, imports of e-fuels and secondary materials, renewables build-out, and social acceptance. Additionally, we will explore novel computational techniques to efficiently address stochastic problems.

For this project, we have assembled a team of leading academic researchers and industry need-owners at the forefront of energy system modeling. We will demonstrate our tool’s capabilities through case studies on resilient infrastructure planning in France, Germany, Sweden, and Finland.

To maximize impact, we will organize workshops and training events involving a broader circle of need-owners and stakeholders, ensuring the wide adoption of project results.

pypsa-eur

project-structure

Deliverables

D1.1: Project website
D1.2: Project data management plan
D2.1: Intermediate release of SMS++ and PyPSA integration
D2.3: Intermediate releases of PyPSA-Eur
D3.2: Interim release of PyPSA-Eur with improved biomass and carbon management representation
D*: Introducing OpenStreetMap high-voltage grid to PyPSA-Eur

Workshops and PyPSA(-Eur) training events

We are dedicated to advancing open-source, transparent, and diligent scientific workflows for energy system modelling. RESILIENT project team aims to empower researchers, industry professionals, and policymakers by providing accessible tools, comprehensive documentation, and practical training resources for energy system research. Through detailed explanations of our models, data, and methodologies, we support a broad application of PyPSA(-Eur) model environment for decision-making and effective industry applications. We openly share all workshop materials to foster collaboration and knowledge sharing within the energy community.

Completed events

Planned events

Research papers

Research talks

Public outreach & media highlights

About us: partners of the RESILIENT project

project-partners

Impressum

Dr. Fabian Neumann
Dr. Iegor Riepin
Bobby Xiong
Prof. Dr. Tom Brown
Technische Universität Berlin Fachgebiet Digitaler Wandel in Energiesystemen
Institut für Energietechnik
Fakultät III
Einsteinufer 25 (TA 8)
10587 Berlin