EIS 2025
Berlin, 2025
June 24-26
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Auditorium Friedrichstrasse - Berlin, Germany
Gurobi Optimization is delighted to invite you to:
The 2025 Energy Innovation Summit will gather a diverse community of thought leaders, researchers, industry experts, and decision-makers to explore the transformative potential of open Energy System Modeling and Optimization in accelerating the energy transition. This year, we’re proud to co-host the Summit with Open Energy Transition, further strengthening our commitment to collaboration, transparency, and innovation across the energy sector.
Be part of the conversation in Berlin as we shape the future of energy optimization and drive innovation toward a more sustainable and equitable energy future. Our mission is to promote transparent, collaborative, and accessible modeling and optimization solutions that address the most pressing energy challenges.
This year’s summit is designed around two dedicated focus tracks, tailored to professionals and experts with a strong interest in one of the following areas:
Each track features a full day of keynotes and Innovation in Action talks.
Connecting both audiences, Day 2 offers a shared space for learning and collaboration. Participants will benefit from in-depth technical sessions, hands-on training with Gurobi Optimizer and PyPSA, and a dedicated Business-Meets-Optimization Workshop designed to turn insights into impact.
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Frank HägerSenior Account Director Gurobi Optimization |
Frank Häger is the Sales Director for the DACH region at Gurobi Optimization. Prior to working at Gurobi, Frank was responsible for Optimization Solutions Sales at FICO in EMEA from 2010 to 2016. He started his career in optimization sales in 1998 at ILOG Germany where he eventually led the German operations as Managing Director until 2008. Frank is a seasoned Sales Professional in the Software Industry for Enterprise Decision Management, focusing on Optimization and Prescriptive Analytics. Frank currently resides in the Hamburg area in Germany.
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Dr. Martha FrysztackiHead of Energy System Modelling Open Energy Transition |
Martha holds an M.Sc. in Mathematics from FAU Erlangen-Nuremberg and a PhD from the Karlsruhe Institute of Technology. Her journey with PyPSA, the renowned open-source energy planning optimization framework, began in 2019 as she started her PhD studies and joined the core development team. Her focus was on achieving an accurate representation of the electricity grid and ensuring its secure operation today and in a future, more renewable, system. After graduating in 2023, she co-founded Open Energy Transition (OET), a non-profit environmental think tank and software company dedicated to addressing energy planning challenges. At OET, Martha takes the lead in Energy System Modeling and Optimization.
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Lennart LahrsTechnical Account Manager Gurobi Optimization |
Lennart Lahrs holds MSc degrees from RWTH Aachen University and KTH Royal Institute of Technology, with a focus on electrical engineering and operations research. Previously, he worked in software development and energy system research as part of agile teams. Within research contexts, Lennart applied discrete optimization to machine operations, fleet management and energy system design. Outside of work, Lennart enjoys sailing, cycling, and cooking.
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Dr. Jaromił NajmanSenior Developer Gurobi Optimization |
Jaromił Najman obtained his M.Sc. in Mathematics at RWTH Aachen University. He did his Ph.D. at the Institute for Process Systems Engineering (AVT.SVT) in Aachen in nonlinear programming, in particular deterministic global optimization. He is one of the two main developers of the open-source software MAiNGO. During his free-time, Jaromił likes to go rock climbing or play (board) games with his family and friends.
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Dr. Robert LucePrincipal Developer Gurobi Optimization |
Dr. Luce is an experienced researcher in applied mathematics, and author of numerous publications in the fields of numerical linear algebra and optimization. He holds a Ph.D. from Technical University of Berlin.
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Dr. Hassan HijaziSenior Developer Gurobi Optimization |
Hassan Hijazi holds a Ph.D. in Computer Science from Aix-Marseille University. During his early career, Hassan was part of Orange Labs, the École Polytechnique, National ICT Australia, the Australian National University, and Los Alamos National Laboratory. In 2015, Hassan received the Rising Star Award from the Australian Society for Operations Research. In 2021, he was the winner of the ARPA-E Grid Optimization Competition, ranking 1st across all divisions. In 2022, he won the Monarch of the Mountain round. During his free time, Hassan likes to play soccer, practice kickboxing, and go motorcycle riding. He also enjoys playing board games and spending time outdoors skiing, camping, and kayaking with his family.
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Dr. Matthias MiltenbergerManager of Optimization Support Gurobi Optimization |
Dr. Matthias Miltenberger is a mathematician living in Berlin. He completed his PhD at the Technical University of Berlin and worked for several years developing, maintaining and supporting the SCIP Optimization Suite at the Zuse Institute Berlin with a focus on linear programming in the context of mixed-integer optimization. Dr. Miltenberger joined Gurobi in October 2019. He enjoys traveling and spending time with his wife and daughter.
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Dr. Sara FrimodigHead of Optimization Ingrid Capacity AB |
Sara Frimodig is Head of Optimization at Ingrid Capacity, a leading developer of large-scale battery energy storage systems. Holding a PhD in Applied and Computational Mathematics from KTH Royal Institute of Technology, she specializes in advanced optimization techniques for energy market operations. Dr. Frimodig leads the development of algorithmic decision-support systems that enable efficient, data-driven participation in ancillary and spot markets across Europe.
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Dr. Kyri BakerAssociate Profesor University of Colorado |
Dr. Kyri Baker received her B.S., M.S., and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 2009, 2010, and 2014, respectively. From 2015 to 2017, she worked at the National Renewable Energy Laboratory. Since Fall 2017, she has been an Assistant Professor at the University of Colorado Boulder and is now an Associate Professor and a Fellow of the Renewable and Sustainable Energy Institute (RASEI). She combats climate change by developing computational tools that leverage optimization and machine learning to operate energy systems more efficiently and reliably. Dr. Baker has received a National Science Foundation CAREER award for her work combining power system operations with machine learning.
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Prof. Tom BrownProfessor TU Berlin |
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Antoine OustryResearcher RTE |
Antoine Oustry holds a Master of Science from the Ecole Polytechnique, a Master in Public Administration from the Ecole des Ponts and a PhD in Computer Science (Operations Research) from the Ecole Polytechnique. During his thesis, Antoine contributed to the field of global nonlinear optimization, with applications to power flow problems. After graduation, Antoine joined the French Treasury as a policy analyst on the public support for road transport electrification. Since January 2025, he has been working at RTE, the French Transmission System Operator, leading the R&D roadmap on energy system modelling for long-term resource adequacy assessment and planning studies.
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Thomas BittarOperations Research RTE |
Thomas Bittar holds an engineering degree from Ecole Centrale de Lyon and a MSc in Applied Mathematics from the University of Cambridge. Then, he did a PhD in stochastic optimization at Ecole des Ponts, jointly with EDF (Électricité de France). He joined RTE in 2021 to work on the modelling and optimization algorithms for energy systems in prospective studies. He takes part in developments within the Antares Simulator and Antares Xpansion tools, used by RTE and other TSOs to perform prospective analysis.
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Dr. Antonio FrangioniProfessor |
Antonio Frangioni's career has been very "local": he got his Master in Computer Science in 1992 at the University of Pisa, his Ph.D. in Computer Science in 1996 at the same place, where he became first Research Associate (in the same year), then Associate Professor (2004), then Full Professor (2012), and where he still is nowadays. His main research interest is the analysis, development, implementation and testing of solution approaches for large-scale structured optimization problems at the interface between continuous and combinatorial optimization, with emphasis on (re)formulation techniques to expose and exploit valuable structural properties, and their real-life application in several fields (energy, transportation, telecommunications, ...) He's also interested in the numerical analysis, computer science, artificial intelligence and machine learning issues arising within these solution approaches and, vice-versa, in the use of mathematical programming techniques in these disciplines.
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Dr. Daniel S. BickExpert Hydrogen Technology OGE |
Dr. Daniel S. Bick holds a PhD in Electrochemistry from RWTH Aachen and an M.Sc. in Materials Science from TU Darmstadt. Since 2019, he has been with Open Grid Europe (OGE), leading key hydrogen initiatives including the H₂ Suitability Project, H₂ Testing Project, and OGE’s H₂ Flexibility Forecasting & Optimisation Platform.
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John PoppelaarsDirector Doing the Math |
John Poppelaars is the founder of Doing the Math, a consultancy dedicated to advancing sustainable decision-making through data and mathematics. As a senior advisor, John applies mathematical modelling to help organisations make better decisions in complex environments.
With extensive expertise in the energy sector John has supported clients in enhancing decision quality across a wide range of challenges. His work includes the design of energy hubs, control of gas networks, improvement of grid capacity, and transport optimisation—contributing to a more resilient and efficient energy infrastructure in support of the shift to a carbon-neutral system.
John’s innovative application of mathematics has earned international recognition: the team he led was awarded the prestigious INFORMS Franz Edelman Award. Before founding Doing the Math, John held senior leadership roles at ORTEC and BearingPoint, where he helped clients across industries optimise operations and embed mathematics into strategic decision-making.
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Dr. Maksymilian GrabChief Specialist PSE - Polskie Sieci Elektroenergetyczne |
Doctor of mathematics. He was educated at the Faculty of Mathematics and Computer Science of the Jagiellonian University in Krakow and the Faculty of Mathematics, Computer Science and Mechanics of the University of Warsaw. Analyst, researcher with many years of experience in conducting and coordinating computer-aided research and development work. Since 2021, he has been associated with the Interdisciplinary Team for Energy Analysis at the National Center for Nuclear Research, where he dealt with issues related to the shape of the European electricity market and cooperation between operators, as well as issues of security of supply and optimization of the generation mix in the power industry. He manages work on planning energy transformation paths for cities and local governments.
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Dr. Christine TawfikOptimization Engineer Gurobi |
Christine holds a PhD in Economics and Management Sciences from the university of Liège (Belgium), where her work focused on network pricing and design optimization problems for logistics applications, through extending game theoritic models and designing approximate solution algorithms. Prior to Gurobi, Christine had an academic experience through her postdoctoral work at Zuse institute Berlin, where she led the „sustainable energy planning“ research group, supervising MSc and Phd theses, acquiring research grants and handling collaborations within the district heating sector. She later switched to the steelmaking making industry, where she had the opportunity to collect both a consultancy and professional software development experience for nearly two years. Outside of work, she enjoys being outdoor, travelling, reading and learning new artistic craft skills.
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Thorsten LenckProgramme Lead Agora |
Thorsten Lenck is Programme Lead of the International Energy Data and Modelling Hub of the Agora Think Tanks (Agora Energiewende, Agora Industry and Agora Agriculture). Before taking on this task, he was responsible for the topics of electricity market design and renewable energies at Agora. He was previously head of consulting at Energy Brainpool, an analysis and consulting company. He is specialized in energy policy advising for companies, institutions, and associations; in energy trading, procurement strategies, and in portfolio and risk management for utility companies. He is the author of numerous economic studies and assessments regarding the energy market and has led a variety of workshops as a certified trainer of EPEX SPOT and the European Energy Exchange (EEX AG). He began his career at international infrastructure consulting firms. He has a degree in energy and process engineering from the Technical University of Berlin.
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Philipp HärtelSenior Scientist Operations Research Fraunhofer IEE |
Philipp Härtel is a Senior Scientist for Operations Research at Fraunhofer IEE and the University of Kassel, leading the Method Development Team in the Energy Economics and System Analysis Department. Researching advanced and scalable optimization methods for design and operation planning problems, his work lies at the intersection of energy systems, optimization, machine learning, economics, and game theory. He received his doctorate (Dr.-Ing.) from the University of Kassel, his MSc in Industrial Engineering from Karlsruhe Institute of Technology, and his BSc from the University of Siegen, including a semester at the University of Newcastle. He has also been a Visiting Research Scholar in the Computer Science Department at Princeton University and the Department of Electric Energy at NTNU.
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Oliver BastertCTO Gurobi Optimization |
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Benjamin PflugerFraunhofer IEG |
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Sami GhazouaniOptimization Engineer TotalEnergies |
Project Manager specializing in the development of calculation methodologies and Python-based optimization models for hybrid energy systems, including renewables, batteries, electrolysers, and thermal technologies. Leads the creation of standardized IT environments for collaborative code development across company entities. Supports over 50 internal feasibility and decarbonization studies, with applications ranging from green hydrogen to grid-connected assets. Manages a team of 5–10 engineers, including PhD researchers, and actively pursues training in agile and cross-functional project management.
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Dr. Fabian NeumannPostdoctoral Researcher in Energy Systems TU Berlin |
Energy system modeller at the Department of Digital Transformation of Energy Systems at TU Berlin. Previously completed a PhD in the Energy System Modelling Group at Karlsruhe Institute of Technology, following research roles at Fraunhofer ISI and a Master's in Sustainable Energy Systems from the University of Edinburgh. Holds a Bachelor's in Industrial Engineering with a focus on energy technologies and informatics from KIT, with research experience in electric vehicle and heat pump scheduling under uncertainty.
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Dr. Frank SensfussHead of Competence Center Energy Policy and Energy Markets Fraunhofer ISI |
Studied industrial engineering (energy and environmental management) at the University of Flensburg. Studied abroad at the University of Southern Denmark, Sønderborg, graduating as B.Sc. Exportengineer. In 2007, doctorate (Dr. rer. pol.) at the Faculty of Economics of the University of Karlsruhe (TH). From April 2004 to December 2011, project manager and project employee in the Competence Center Energy Policy and Energy Systems at the Fraunhofer Institute for Systems and Innovation Research ISI, since January 2012 in the Competence Center Energy Policy and Energy Markets and since then also Head of the Business Unit Electricity Markets and Infrastructures. Deputy Head of the Competence Center Energy Policy and Energy Markets since February 2019 and Head of the Competence Center Energy Policy and Energy Markets since October 2023.
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Cillian TotterdellPolicy Manager Form Energy |
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Dr. Georgios MavromatidisHead of Urban Energy Systems Laboratory Empa |
I am the Head of the Urban Energy Systems Laboratory at Empa, Switzerland, and a research affiliate and lecturer at ETH Zurich, researching transformation strategies for sustainable urban energy systems in a changing climate. Driven by the urgent need to create resilient, equitable, and sustainable urban environments, I develop advanced computational models and analysis methods to design strategies for the practical realization of sustainable urban energy transitions. My research focuses on the interconnected nature of buildings, mobility, and energy systems, exploring how their transformation can support decarbonization and long-term sustainability. At the interface of technology, policy, and economics, my current research expands on these foundations by integrating societal dimensions into modeling approaches. By bridging science, engineering, and policy, I aim to develop solutions that are not only technically and economically sound but also socially viable, accelerating the transition toward sustainable, low-carbon cities. I hold a PhD in Urban Energy Systems from ETH Zurich, where my research focused on developing computational methods for the design of urban energy systems under uncertainty. Before that, I earned an MSc in Sustainable Energy Futures from Imperial College London and a Diploma (Dipl.-Ing.) in Mechanical Engineering from Aristotle University of Thessaloniki.
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Julien MarquantCPTO & Co-Founder |
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Andreas JahnSenior Associate Regulatory Assistance Project |
As a senior associate in Berlin, Andreas Jahn focuses on issues relating to the German “Energiewende”, or energy transition, helping develop and advance regulatory options for a carbon-neutral power sector, including demand-side resources and tariff design. He also supports RAP’s work throughout Europe. Jahn has extensive experience with power markets and regulation, as well as knowledge of the German national political arena. Prior to joining RAP, Jahn was responsible for all energy policy and regulatory matters as the director of regulatory affairs at lekker Energie, a German electricity and gas provider. Through his work as a senior expert for the Association of New Energy Suppliers, he gained valuable insight into political decision-making processes and legislative procedures. He was also a member of the Federal Ministry of Economics’ task force on legislation to implement grid regulation in Germany. Andreas Jahn has extensive knowledge of the technical, environmental, and political aspects of energy markets through his degree in environmental science from Leeuwarden (Netherlands) and Bingen (Germany). In addition to his native German, Andreas speaks fluent English and advanced Spanish.
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Endika Urresti PadrónOptimization and Modelling Expert PSE, Polskie Sieci Elektroenergetyczne |
Endika Urresti Padrón is an optimization and modelling expert at PSE, Polskie Sieci Elektroenergetyczne S.A., the Polish Transmission System Operator. Over nearly a decade, he has been deeply engaged in the energy sector, collaborating extensively with the Polish TSO (PSE), DSOs, technical universities, and utilities. His work focuses on developing tools for power system and energy market analysis through optimization techniques and High-Performance Computing (HPC) infrastructure. Endika’s professional journey includes roles as a project manager and researcher at the National Centre for Nuclear Research (NCBJ), Poland's largest research institute, within the Interdisciplinary Division for Energy Analyses (IDEA). Regarding his projects, he contributed to the design of the new Polish balancing market optimization engine, which has been operational since June 2024. From 2018 and 2020, Endika led two Horizon 2020 (H2020) research projects funded by the European Commission—EU-SysFlex and OneNet—on behalf of NCBJ. These projects aimed to develop optimization algorithms for cross-border remedial actions among different TSOs and TSO/DSO coordination mechanisms, enabling DSO units to participate in the balancing market without compromising the integrity of DSO networks. Endika has authored several publications on topics such as risk management in power system operations using dynamic simulations and enhancing system resilience through cascade simulations. Additionally, he contributed to creating a transmission expansion planning tool for PSE, an advanced optimization tool incorporating features like storage device integration.
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Swantje MöhleEnergy Modeling Engineer Austrian Power Grid (APG) |
Swantje Möhle holds a MSc in Physics from the University of British Columbia in Vancouver, Canada. After completing her studies, she spent two years at Schneider Electric North America working on complex power monitoring systems. Since May 2024, Swantje has been working as an Energy Modeling Engineer at the Austrian Power Grid (APG) TSO where she is a developer on the PyPSA-TSO Model, focusing on cross-sector energy system optimization and scenario building.
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Paul Friedrich ZelleSystems Planning Engineer TransnetBW |
Paul Friedrich Zelle, M.Sc. (RWTH) is a Systems Planning Engineer at TransnetBW, where he serves as Product Owner of PyPSA-TSO, an open-source modeling tool tailored for transmission system operators. He is also an external PhD candidate at the Department of Energy Systems (ENSYS), TU Berlin, focusing on advanced energy system modeling and planning.
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Juan Esteban Sierra AguilarMathematical Modeling lead – Economic Dispatch Analyst XM |
Juan Esteban holds a bachelor’s degree in electrical engineering and a master’s degree in engineering with an emphasis in Energy Systems from the University of Antioquia, Colombia. During his graduate studies, he developed dispatch models that incorporate intermittent renewable energy sources, applying both stochastic and robust optimization methodologies. He currently works as a mathematical modeling specialist at XM, the Colombian electricity system operator. In this role, he leads the team responsible for the mathematical formulation and optimization of the national economic dispatch model. His work has been instrumental in modernizing both the modeling architecture and the mathematical foundations of the dispatch process, enhancing the system’s ability to address operational complexity, integrate regulatory changes, and improve cost-efficiency in real-time decision-making.
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 a Q&A and panel discussion, connecting the dots between modeling, infrastructure investment, and real-world policy decisions.
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.
Philipp Härtel (Fraunhofer IEE) then presents scalable, distributed algorithms for solving large-scale, stochastic energy system models under security and resilience constraints, offering insight into planning amidst uncertainty.
Next, Sara Frimodig (Ingrid Capacity) showcases a stochastic multi-stage optimization approach to enhance battery energy storage in power grids, with a focus on flexibility and robustness in operation.
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.
Daniel Bick (Open Grid Europe) and John Poppelaars (Doing the Math) will showcase optimization approaches to forecast and manage volatility in hydrogen transport systems—ensuring resilient and efficient grid operations.
Sami Ghazouani and Ashutosh Rajesh Agarwal (Total Energies) will outline the company’s evolving hydrogen strategy and its implications for infrastructure and cross-border trade.
Fabian Neumann (TU Berlin) will explore integrated infrastructure planning across hydrogen, import, and carbon management, offering a long-term perspective on system-wide optimization in support of EU climate goals.
The session concludes with a Q&A panel discussion, connecting technical insights with policy and investment priorities.
Cities and regions are pivotal in achieving climate goals. This session explores how data-driven modeling and optimization tools support carbon-neutral planning at local levels. EMPA and Sympheny present from research to real-world impact: Empa explores innovative approaches to urban energy systems, as Sympheny demonstrates their application through its SaaS solution. PSE showcases how municipalities can model optimal energy transition pathways. Form Energy highlights the role of open-source innovation in accelerating local energy transformation. The session concludes with a Q&A and panel discussion.
As power systems grow more complex, the convergence of AI and optimization is becoming essential. This session explores how learning-enhanced and top-down optimization approaches are transforming power system planning and operations. From intelligent algorithms that accelerate decision-making to integrated models that address grid resilience and efficiency, our speakers will present pioneering methods shaping the future of energy infrastructure. A closing panel will invite reflection and open discussion on the path forward.
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.
Prof. Antonio Frangioni (University of Pisa) and Winfried Lorenzen (Bundesnetzagentur) will examine the role of optimization in regulatory planning and energy system oversight.
Alexandros Fakas Kakouris (Renewables Grid Initiative) will offer insights into transparent grid development and stakeholder alignment.
Valentin Friedrich (APG) and Dirk Cremer (FGH e.V.) will present on optimization methods for improved bidding zone configurations in Central Europe.
A representative from The Regulatory Assistance Project (TBD) will complement the discussion with policy integration insights.
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.
This session dives into advanced modeling techniques for long-term grid and multi-energy system planning. Experts from Fraunhofer ISI will present scenarios for grid expansion under future energy demands. APG and TransnetBW will share practical insights on electricity system modeling using PyPSA, while RTE will introduce a flexible modeling language designed to support versatile configurations in multi-energy planning studies.
This session offers both newcomers and experienced users a practical introduction to PyPSA—an open-source toolbox for power system analysis and planning. Led by Martha Hoffmann (Open Energy Transition), the session begins with a foundational overview of PyPSA’s capabilities and structure. Fabian Neumann (TU Berlin) will then demonstrate its real-world application through a hands-on case study, showing how PyPSA supports long-term energy system planning, scenario analysis, and decarbonization strategies
Why Gurobi Works: Complexity, Craft, and Commitment
This session opens with an introduction to the Gurobi Optimizer by Dr. Robert Luce, covering core solver capabilities and what sets it apart in the world of mathematical optimization. Dr. Christine Tawfik follows with a focused exploration on enhancing energy system planning using Gurobi—bridging the gap between legacy modeling challenges and modern optimization tools. Together, they demonstrate how Gurobi enables faster, smarter, and more scalable decisions in energy planning and beyond.
This technical session explores practical approaches to energy optimization challenges using Gurobi. Topics include effective strategies for solving Mixed-Integer Nonlinear Programs (MINLPs), hands-on model building with gurobipy, and the integration of security constraints in AC Optimal Power Flow (ACOPF) models using Gurobi’s OptiMod. Gain actionable insights to enhance performance, scalability, and reliability in complex energy systems modeling.
This session dives into practical tools and methods for advanced modeling with PyPSA-Eur. Representatives from Open Energy Transition guide attendees through building custom scenarios, leveraging climate data effectively, and benchmarking solver performance. Learn how to tailor open-source energy models to real-world needs while optimizing transparency, scalability, and computational efficiency.
TSO Pre-Summit Workshop: Scenario Building for Energy System Planning
This hands-on pre-summit session is designed specifically for Transmission System Operators (TSOs) and system planners. Led by representatives from Open Energy Transition (OET), the interactive workshop will focus on practical approaches to scenario building for long-term energy system modeling. Participants will explore how to construct, structure, and stress-test scenarios using open-source tools, aligning with current and future challenges in grid planning, market design, and climate targets. Join us to sharpen your scenario planning skills in an expert-led, collaborative setting.
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.
Business Meets Optimization: Bridging the Gap Between Strategy and Solvers
This interactive session empowers participants to translate complex optimization concepts into compelling business narratives. Attendees will learn how to frame objective functions as KPIs, constraints as business rules, and decision variables as levers—turning technical insights into executive-ready messages. Through hands-on exercises, strategy-first framing, and communication drills, the session reveals how optimization can drive tangible value, de-risk decisions, and accelerate strategic alignment. Designed for both practitioners and leaders, this session helps ensure that optimization is understood as a business enabler—not just a technical tool.
In this session, Dr. Matthias Miltenberger presents an in-depth evaluation of Gurobi’s solver performance on a suite of benchmark models developed by Open Energy Transition (OET). These models reflect real-world energy system planning challenges, encompassing large-scale linear, mixed-integer, and non-linear formulations. The session highlights runtime comparisons, scalability, solver configurations, and practical recommendations for achieving high performance across diverse optimization problem classes. This talk is essential for modelers and decision-makers seeking to unlock the full potential of optimization in energy planning.
Solving Large-Scale LPs with Gurobi: CPU or GPU?
As linear programs (LPs) grow in size and complexity, choosing the right hardware becomes a critical factor in solver performance. This session explores the practical differences between CPU and GPU computation for solving large-scale LPs using Gurobi. Through benchmarks and real-world examples, we will highlight where GPU acceleration can offer significant speedups—and where CPUs may still be the more efficient option. The session provides insights into tuning solver settings for each architecture and helps attendees make informed decisions about infrastructure for large-scale 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.
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