Welcome Keynote

What infrastructure investments will truly get us to climate neutrality—without breaking the bank? In this session, Prof. Tom Brown (TU Berlin) presents strategies for planning affordable and effective energy systems using open-source models and optimization techniques. Following this, Dr. Benjamin Pfluger (Fraunhofer IEG) delves into the “Hydrogen: Age of Complexity,” addressing the planning and integration challenges for hydrogen as a key energy carrier. The session concludes with Turning Grid Planning into Real-World Infrastructure by Alice Jackson (Breakthrough Energy).

Session 1: What infrastructure gets us to climate neutrality – without breaking the bank? by Prof. Tom Brown

Abstract: We’re in a new phase of the energy transition where we need to make detailed trade-offs between electricity, hydrogen and carbon dioxide infrastructure. From a modelling perspective, this requires more granular planning and highly performant optimization algorithms. Prof. Tom Brown reveals how open-source tools like PyPSA can help solve theses challenges, assessing smart trade-offs while remaining transparent and unleashing modelling innovation.

Session 2: Planning Hydrogen under Uncertainty and Complexity by Benjamin Pfluger

Abstract: The ramp-up of hydrogen has started to fall behind expectations in terms of speed and volume. Let’s have a look at why this is happening, why the challenges of hydrogen are symptomatic for the new age of uncertainty and complexity and why new methods are required to plan energy systems and infrastructures.

Session 3: Turning Grid Planning into Real-World Infrastructure by Alice Jackson

Abstract: Global energy needs are accelerating, driven by rapid technological innovation, policy commitments, and rising clean energy demand. Yet, translating energy system models into decisions that result in real-world infrastructure remains a challenge. Modeling capabilities have significantly improved, however, substantial gaps persist between analytical planning and practical implementation. GRIDS, a new philanthropic initiative from Breakthrough Energy, aims to bridge these gaps by fostering collaborative platforms and integrating tools and data to enhance the planning-to-execution pipeline. Drawing from her experience as the former Chief Planning Officer for Xcel Energy, Alice Jackson will discuss how to move grid planning from theoretical frameworks to real infrastructure, emphasizing the need for openness, collaboration, and innovation across the sector.

Session 1: Bidding zone configurations in the German power market: what are the impacts on the current system? by Thorsten Lenck

Abstract: As energy systems evolve, market design and system resilience take center stage. This session begins with Thorsten Lenck (Agora Energiewende) exploring the implications of different bidding zone configurations in the German power market—how they affect grid efficiency, pricing signals, and investment certainty.

Session 2: Solving large-scale stochastic energy system transformations under energy security and resilience concerns with distributed algorithms by Philipp Härtel

Session 3: Stochastic Multi-Stage Optimization for Battery Energy Storage in Power Grids by Sara Frimodig

Abstract: Energy storage is essential for integrating renewable energy into the electricity grid, providing flexibility to balance supply and demand. By storing excess energy during high production periods and redistributing it when generation is low, battery storage supports grid stability and a decentralized energy system. At Ingrid Capacity, we manage large-scale battery energy storage systems designed for grid balancing. These systems operate based on a stochastic optimization model, which helps determine capacity allocation for ancillary services and spot markets under uncertainty. The model incorporates scenario generation techniques to represent possible future market conditions, particularly for ancillary service prices, which are inherently uncertain.

The session concludes with a Q&A panel to bridge technical innovation with practical system-level planning.

You are warmly invited to explore our exhibition, presented by esteemed partners showcasing innovations and solutions across key energy topics.

Hydrogen is at the core of Europe’s decarbonization ambitions—and its infrastructure must match the scale of the challenge. This session brings together cross-sector experts to present cutting-edge strategies and models for hydrogen network development.

Session 1: Optimizing Hydrogen Transport: Mathematical Optimization for a Sustainable Energy Future by Daniel Bick and John Poppelaars

Abstract: OGE focuses on the critical challenge of forecasting volatile behavior in hydrogen grids, which is essential for ensuring the reliability, stability and efficiency of future energy networks. This presentation will delve into the innovative methodologies developed within OGE and together with external partners to predict and manage fluctuations in hydrogen supply and demand. By leveraging advanced network control optimisation, we aim to enhance the accuracy of long-term network simulations, providing a robust framework for planning and optimizing hydrogen grids.

Session 2: Optimization and Modelling of Complex Energy Systems by TotalEnergies by Sami Ghazouani and Ashutosh Rajesh Agarwal (Total Energies)

Abstract: TotalEnergies has recently shifted from its traditional oil and gas business to a multi-energy company, aiming at developing operational and profitable complex energy systems for applications such as asset decarbonization, flexible grid-connected assets, and green hydrogen or derivatives production. Thus, it created a need to develop and capitalize advanced expertise in optimization and energy system modelling to be able to size and operate intermittent renewable energy sources, storage technologies, and complex integrated energy systems. The presentation will detail the development of an in-house tool used to address technical and operational challenges related to the sizing and operation of multi-energy systems, utilizing operations research and optimization techniques. Current projects by TotalEnergies will be examined, highlighting approaches and solutions. The discussion will conclude with the remaining technical and research challenges to fully realize the potential of multi-energy systems.

Session 3: Energy Infrastructure Planning for Europe’s Hydrogen, Import and Carbon Management Strategies by Fabian Neumann (TU Berlin)

Abstract: The past few years have witnessed the publication of various European and national strategies addressing hydrogen, imports, and carbon management in support of the energy transition. These decisions are complex and intricate, requiring coordinated modeling and planning of energy infrastructures to achieve climate action goals and reach net-zero emissions cost-effectively by mid-century. Highly performant large-scale optimization tools, such as Gurobi, are essential for effectively addressing these strategic decisions. This presentation showcases recent research conducted using the integrated open-source energy system planning tool PyPSA-Eur in support of these efforts. We explore Europe’s strategic balance between green energy and material imports versus domestic production, addressing import volumes, locations, and energy carriers (electricity, hydrogen, ammonia, methanol, steel), and implications for domestic infrastructure and industrial value chains. Additionally, we examine the potential advantages of carbon network infrastructures for cost-effective carbon management, including optimal transport strategies for captured CO₂ and hydrogen, and the role of direct air capture compared to industrial fossil or biogenic CO₂ capture.

The session concludes with a Q&A panel discussion, connecting technical insights with policy and investment priorities.

Session 1: Empowering Sustainable Urban Energy Systems innovation at Empa and demonstrators – Sympheny: A SaaS Solution Journey to Zero CO2 energy concept by Dr. Georgios Mavromatidis and Julien Marquant

Abstract: Empa’s Urban Energy Systems Laboratory (UESL) and Sympheny will present transformative solutions for optimizing urban energy systems. Empa UESL will share insights on integrating renewable energy, smart grids, and data analytics to enhance efficiency and reduce carbon footprints. Sympheny will showcase its cutting-edge software and services, empowering municipalities, utilities, planners, and property owners to leverage optimization for impactful decision-making. By providing comprehensive insights and actionable recommendations, Sympheny and Empa UESL innovation enables city planners and policymakers to accelerate the global energy transition while balancing economic viability, social equity, and environmental sustainability. Together, Empa UESL and Sympheny demonstrate how advanced optimization technology drives strategic, data-driven urban energy planning toward a zero CO2 future.

Session 2: Optimizing energy transition paths of municipalities by Dr. Maksymilian Grab

Abstract: We will present a multi-sector modelling approach for the task of finding the most cost-efficient path of energy transformation at the level of municipalities using linear optimization. The method will be illustrated by some results for big cities in Poland.

Session 3: Defining strategy and delivering markets with open-source modelling by Cillian Totterdell

Abstract: Form Energy, a manufacturer of low-cost, 100 hour iron-air batteries, has used best-in-class modelling to define its strategy from the outset. Formware™️, a capacity expansion model solving for least-cost decarbonised systems, was developed in house by Form. It informed the earliest technology choices by the company, including the identification of iron-air as a pathway. Now, Form is using open-source modelling to guide its global expansion, including a PyPSA study of how Germany can phase down its reliance on gas generation. This presentation will outline how modelling is critical for technology suppliers to understand their product-market fit, and how open-source modelling is shaping market growth.

In this thought-provoking session, we explore the hidden barriers preventing powerful optimization models from achieving real-world traction. Despite technical excellence, many initiatives stall due to stakeholder friction, cultural inertia, and communication gaps. Through case examples and common objections—like fear of black-box solutions or status quo comfort—we reveal that the true optimization problem is often not computational, but human. Join us as we unpack the biases, misconceptions, and internal resistance that optimization practitioners must overcome to turn insights into action.

Session 1: Why Gurobi Works: Complexity, Craft, and Commitment by Dr. Robert Luce, Gurobi Optimization

Session 2: Enhancing Energy Planning with Gurobi: Bridging Historical Challenges and Modern Optimization Tools by Dr. Christine Tawfik, Gurobi Optimization

—Coffee Break—

Session 3: Solving MINLPs: From model building to practical guidelines by Dr. Jaromil Najman, gurobi Optimization

Session 4: Model building with gurobipy by Dr. Lennart Lahrs, Gurobi Optimization

Session 5: Security constraints in the Gurobi ACOPF OptiMod by Dr. Hassan Hijazi, Gurobi Optimization

Session 6: Solving large-scale LPs with Gurobi: CPU or GPU? by Dr. Robert Luce, Gurobi Optimization

Discuss with the Experts – Interactive Rounds
Get direct access to experts from Gurobi and Open Energy Transition (OET) in a series of focused, small-group discussion rounds. Whether you’re facing modeling challenges, scaling issues, or integration questions, this session offers a unique opportunity to dive deep into your specific optimization or modeling needs. Bring your toughest questions—or just listen in and learn from others.

Session Title: Learning-Enhanced Optimization for Power Systems
In this talk, we will discuss the pros and cons of using machine learning-based techniques to solve, or to help solve, large-scale power system optimization problems. We show how these techniques can be used to warm-start existing algorithms, operate grids in real-time while adhering to dynamical constraints, and diagnose sources of infeasibilities.

Reaching Europe’s climate neutrality goals demands robust modeling and optimization tools that are aligned with evolving regulatory frameworks. This session explores how decision-support systems and optimization techniques are being applied within regulatory environments across Europe.

Session 1: From Academic Optimization to Market Reality: The SPaC Model and Beyond by Prof. Antonio Frangioni (University of Pisa) and Winfried Lorenzen (Bundesnetzagentur)

Abstract: This session explores the promise and pitfalls of applying advanced mathematical optimization to real-world energy market design. Using the Segmented Pay-as-Clear (SPaC) proposal as a case study, Prof. Antonio Frangioni (University of Pisa) presents the academic rationale, potential benefits, and unresolved questions of this innovative market model. Winfried Lozenzen (Bundesnetzagentur) provides a regulatory and practical perspective, highlighting the gap between theoretical gains and real-world implementation—touching on issues of complexity, transparency, investor certainty, and regulatory fit. Through critical dialogue and examples from grid operations, the session examines what it really takes to move from optimization concept to workable energy market reform.

Session 2: From Modeling responsibility to planning & implementing responsibilities in policy making – advantages of independing planning and operation by Andreas Jahn
Abstract: This session explores how regulatory frameworks shape and influence the practical implementation of modeling results in the energy sector. It will address the challenges of aligning complex optimization outputs with legal and policy requirements, and highlight best practices for ensuring that modeling insights translate into actionable, compliant decisions.

Session 3: Planning for net-zero – aligning energy system modelling with policymaking and stakeholders’ views by Alexandros Fakas Kakouris (Renewables Grid Initiative)

Abstract: In recent years, electricity grids have gained significant political momentum across the European Union, which is undergoing an unprecedented transformation driven by the urgent need to address geopolitical, climate, and energy crises. In this context, energy system modelling plays a growing role in informing policy, while at the same time, is shaped by it. This increasingly bi-directional relationship is essential to building an integrated, decarbonised and optimised energy system of the future.

Session 4: Optimizations for an ideal Bidding Zone Configuration in Central Europe by Valentin Friedrich (APG) and Dirk Cremer (FGH e.V.)

Abstract: In the bidding zone review of the target year 2025, it was the results from optimization tools that attracted the most attention. The study aimed to assess the optimal bidding zone configuration for central Europe by using a chain of optimization tools, including flow-based market coupling and remedial action optimization. FGH and APG, together with the other TSOs in Central Europe, developed an interface for the creation of flow-based domains and remedial action optimization in Integral with the VAMOS simulation platform. This solution contributes to the flexible integration of complex optimization problems in Integral for the Bidding Zone Review and other projects at APG.

The session concludes with a panel Q&A focused on bridging the gap between technical potential and policy implementation.

This session focuses on innovative approaches to power system operation and flexibility. Endika Urresti (NCBJ/PSE) will present the latest research on Optimal Topology Switching (OTS) to enhance grid efficiency and stability. Juan Esteban Sierra Aguilar (XM) will introduce Simplex Operativo, a digital platform revolutionizing power system operations in Colombia through real-time decision support.

Session 1: Research and Innovation on Optimal Topology Switching (OTS) by Endika Urresti

Session 2: Simplex Operativo: Modernization of the Colombian Day Ahead Model by Juan Esteban Sierra Aguilar

Abstract: XM led a major transformation of its national dispatch model and platform, migrating from legacy tools to a modern cloud architecture. This shift enabled the system to handle increased regulatory complexity, including dynamic configurations for combined-cycle plants. The new platform, Simplex Operativo, reduced computational times from 300s to 60–90s and improved traceability and scalability of the MIP model. The session will explore the technical challenges, algebraic complexity, and lessons learned from this transition.

Duration per session: 20 minutes

Session 1: Modeling and solving Long Term Grid Expansion Planning Scenarios by Frank Sensfuss

Session 2: Modeling European Cooperation in the Energy Transition by Swantje Möhle and Paul Friendrich Zelle

Abstract: Coordinating European efforts is a key strategy to enable a cost-effective and efficient energy transition. In this multi-TSO cooperation study, we modeled scenarios with differing levels of cooperation between European countries, to investigate the consequences and impacts on the system. For this project we used PyPSA-TSO, a PyPSA model developed by APG and TransnetBW specifically for TSO applications.

Session 3: A Modelling Language for Versatile Configuration of Models in Multi-Energy Systems Planning Studies by Thomas Bittar and Antonie Oustry

Duration per session: 20 minutes