Grenoble workshop 2024: lightning talks

This topic is to collect lightning talks for the Grenoble workshop scheduled for 26–28 March 2024. The grenoble-workshop-2024 tag lists all topics relevant to this event.


A lightning talk is a very short presentation of your topic in 3–5 minutes. The aim is to provide some key information to the community or introduce your work to provoke informal discussions later on. This is the opportunity to share something you think others in the community should know about. For example, you could spread the love for some tool, library, or unknown but valuable feature of a library; you could keep everyone updated with developments in open science; or share a success story where open science made an impact.


Please create a dedicated posting for each proposal by replying to this topic. And add the following template to the top of that posting by simply copy/pasting the markdown, noting that you will need to remove the triple apostrophes that get copied across too.

- genre: lightning talk
- title:
- presenter: @handle
- description:
- optional link to the code repository: 
  • genre: lightning talk
  • title: Synthetic Smart Meter Data - Open Source Community
  • presenter: @gus_cnz
  • description:

We’re kicking off 2024 with the launch of a new, global open data community. The community will specifically focus on unlocking access to synthetic data to accelerate the decarbonisation of global energy systems.

The core thesis of the community is simple. Access to raw smart meter data is essential to a rapid and successful energy transition. Yet little of this data is available for research and modelling purposes, largely because of consumer privacy protections. Synthetic data can solve this problem.

We want to liberate global access to smart meter data for research and innovation purposes, by creating an open source community of synthetic smart meter data contributors and users.

In this lightning talk we will introduce the community, it’s goals and some of the interesting, relevant projects that are occuring in parallel.

  • optional link to the code repository:
  • Genre : Lightning talk
  • Title : Unsustainable economic institutions in transition scenarios
  • Presenter : @victor-ecrement
  • Description : Drawing from my PhD research, I will show that governmental transition scenarios within the EU fail to question the most unsustainable economic institutions, such as economic growth, private property and market freedom. I will then present some key hypothesis as to why this is the case, focusing on tools and methods.
  • genre: lightning talk
  • title: Non-Profits in the World of Open Energy Planning - A Glimpse into OET projects
  • presenter: @MaxParzen
  • description: Open energy planning enables decision-makers to have better fact-based discussions. People can discuss numbers and how these were derived with complete trust and transparency. Open Energy Transition (OET) is a new non-profit software company and environmental think tank that improves open energy planning tools and increases their adoption. Join this lighting talk to learn from OET projects that uses open energy modelling.
  • optional link to the code repository: OS tool page
1 Like
  • genre: lightning talk
  • title: How the big assessments can profit from open source modelling
  • presenter: @thomgeo
  • description: Policies and policy makers in Europe and around the world rely much on assessments from organizations such as the IEA, ENTSO-E or national TSOs. Many of these are highly intransparent. In this talk, I will go into why challenging these assessments with open versions is so important, and how to do it.
  • genre: lightning talk
  • title: GENeSYS-MOD.jl: a julia version of GENeSYS-MOD
  • presenter: @DPinel
  • description: The use of GAMS is a barrier to the adoption of models. The already open GENeSYS-MOD was translated in Julia to facilitate its adoption. The presentation will cover various aspects from the translation process, differences from the GAMS version and performance comparison.
  • optional link to the code repository: GENeSYS-MOD
1 Like
  • genre: lightning talk
  • title: NRGISE: An MDP Approach to Energy System Modeling used to Investigate Control Strategies of Energy Storages
  • presenter: @tobirohrer
  • description: NRGISE is a modular simulation framework for energy systems. The focus is on the precise simulation of energy storage systems, which act as a central component. However, NRGISE also makes it possible to model components from the fields of e-mobility, PV systems, loads and diesel generators. Thanks to the modular software architecture, the components can be flexibly combined to represent any energy system. A central paradigm in NRGISE is the clear separation between the modeling of the energy system and the implementation of the controller. Here, the basic and established approaches from the field of reinforcement learning and the application of Markov Decision Processes (MDP) were used as a strong orientation. This clear separation between the energy system and the controller, as well as the implementation as an MDP, make it possible to model complex energy systems and controllers as discrete-time decision processes and thus to explore different strategies for controlling energy systems.
1 Like
  • genre: lightning talk
  • title: Carbon resources/cycle in the energy system transition
  • presenter: @Louis.Merceron
  • description: In the context of the defossilization of the energy system, some sectors such as aviation or chemical production will continue to rely on carbonaceous vectors. Consequently, there is a need to produce the corresponding energy vector, resulting in a demand for non-fossil carbon sources. Competing use between non-fossil carbon resources is then set to become an increasingly important issue. This leads to increasingly important considerations concerning the flows of carbon in energy system models.
  • genre: lightning talk
  • title: A low demand scenario for Europe modelled in PyPSA-EUR
  • presenter: @Umairtareen
  • description: The latest IPCC report warns that global efforts fall short of meeting climate targets and urgent action is needed to cut CO2 emissions. Key actions include transitioning to clean energy, improving energy efficiency, and promoting energy sufficiency. In this work, PyPSA-EUR model is used to simulate a multi-energy system based on the CLEVER EU scenario, to highlight the importance of energy sufficiency in energy transition.
  • optional link to the code repository: GitHub - UmairTareen/pypsa-eur: PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
  • genre: lightning talk
  • title: Coupling of energy system and hydrology models for improved representation and sector integration
  • presenter: @JN_Louis
  • description: The inter-dependence of resources between sectors is critical to be represented and the development of open source tools enhance this communication between models. While energy system models regard water as a commodity and water demands for e.g. agricultural activities is disregarded, and hydrology model sees hydropower as a reservoir that disregard the energy market and flexibility measures, we aim at integrating energy system and water balance models for improved benefit sharing in transboundary regions. To this end, we are bringing a tool we are developing at VTT, IRENA FlexTool, forward, and linking it with an hydrology model to better assess investments decisions and power plant operations in the selected countries. This development, that is still in early phase, is supported by the TU-Nexus project (Tadjikistan-Uzbekistan Nexus) financed by the Ministry of Foreign Affairs of Finland.
  • optional link to the code repository: IRENA FlexTool - GitHub - irena-flextool/flextool: IRENA FlexTool is an energy and power systems model for understanding the role of variable power generation in future energy systems.
  • genre: lightning talk
  • title: Data-Driven Demand Estimation in Electrification: A Machine-Learning Approach to Enhance Rural Energy Systems
  • presenter: @Ale_onori
  • description: This lightning talk addresses the critical issue of achieving universal energy access through a dual approach involving comprehensive guidelines and a data-driven machine-learning framework. Initially, it outlines a detailed methodology based on extensive literature review, providing guidelines for developing data-sharing platforms in energy access. This includes a proposed architecture to support the collection of conjoint socio-economic and time-series data. Building upon this foundation, the talk then delves into the development of a machine-learning framework for estimating appliance adoption patterns. This framework leverages a novel open-access database, populated with socio-economic information and appliance data collected from various public and private sources. A structured logistic regression analysis is employed to discern the nexus between socio-economic factors and appliance adoption, aiming to identify the most relevant indicators for demand estimation.
  • genre: lightning talk
  • title: Supporting the integration of renewable energy systems in electrical grids with PowSyBl Metrix tool
  • presenter: @AGodefroy
  • description:
    The integration of more renewables in our power systems is a key driver to achieve CO2 emissions reduction targets. However, as the share of RES in the pool of producers increases, ensuring the power grid safety requires new operation modes and innovative solutions.
    In order to increase the renewable hosting capacities, PowSyBl Metrix provides Cost Benefit Analysis of advanced grid management techniques (curative curtailment, topological actions, HVDCs, PSTs…) thanks to a fully open-source Security Constrained Optimal Power Flow.
    The current features of Metrix tool will be presented through a simple use case, as well as the features to be developed in the European project EMERGE.
  • optional link to the code repository: GitHub - powsybl/powsybl-metrix
  • genre: lightning talk
  • title: European climate policies: effects on the electricity sector with PyPSA-Pol model
  • presenter: @cerealice
  • description: Building on the open-source energy system model for the European energy system PyPSA-Eur, we developed a version specialized at policy evaluation called PyPSA-Pol. Our primary objective is to analyze how the European Commission climate policy will change the different energy sectors and the various countries in the continent. We present model outcomes illustrating how EU decarbonization strategies will shape the power sector, clustering insights for different areas in Europe. Southern countries may benefit from cost-effective solar generation, whereas the transition necessitates greater investments in Northern and Eastern regions.
    As a work in process, we are linking PyPSA-Pol with a computable general equilibrium model, to analyse how the transition will affect households and industries, for various quintiles of income. We aim to enhance the current model version by refining the implementation of the industrial sector, which plays a pivotal role in shaping the trajectory of the decarbonization. Additionally, we seek to incorporate the impacts of climate change on both energy demand and supply.
  • optional link to the code repository: Not yet available
1 Like
  • genre: lighting talk
  • title: Enhancing consumer insights through simulation-driven adaptive surveys: coupling energy models with household surveys
  • presenter: @Matteo.Barsanti
  • description: To investigate the household energy behavior, we designed a simulation-driven adaptive survey. This innovative tool improves on conventional surveys by integrating an energy demand simulation model. Essentially, survey participants are presented with hypothetical scenarios and are asked to indicate whether and how they would change their behavior in response. The energy demand model is embedded within the survey, functioning as a real-time decision support tool and allowing users to iteratively evaluate the potential impact of their actions in a personalized manner before submitting their final responses. Beyond the scope of this case study, we aim to emphasize the broader potential of the modeling tools we develop to actively engage and empower citizens in understanding and managing their energy consumption.
  • optional link to the code repository: energy demand model - demod
  • genre: lightning talk
  • title: Cross sector integration through the development and integration of surrogate models based on machine learning
  • presenter: @taigr
  • description: This lightning talk will present a recently started research project, focusing on energy system model coupling using surrogate models, based on machine learning. Increasing demand for sector-coupled large-energy system models is accompanied by a growing complexity of these models. To limit the complexity, new coupling strategies are required. This project investigates the potential of using machine learning to build surrogate models representing a specific energy sector (e.g. hydrogen) which can then be coupled (e.g. using soft linking) to another operational model (e.g. power system model). The goal is to develop machine learning-based methods to build surrogate models of sectors and link them to existing models.
  • genre: lightning talk
  • title: A cascade-modelling approach for energy systems in developing countries
  • presenter: @CarlosFV
  • description: Here we would like to present the approach that our team is following for the development of transition plans for the energy system of a developing economy in south america. This work is based on the consecutive application of two open-source models in other to complement to provide some partial validation and complementation between tools.
  • genre: Lightning talk
  • title: NFDI4Energy – National Research Data Infrastructure for the interdisciplinary Energy System Research
  • presenter: @Nan
  • description: NFDI4Energy is an abbreviation for Germany’s National Research Data Infrastructure for the Energy system, with the aim of establishing a sustainable and integrated research data infrastructure Within this project, our focus is on conducting research on FAIR data for the energy system. This includes ensuring traceability, reproducibility, and transparency of results for the scientific community as well as for the society, improving the overall FAIRness. Additionally, it encompasses simplifying the identification, integration, and coordination of simulation models. In this lightning talk, I will provide a comprehensive overview of the NFDI4Energy project.
1 Like
  • genre: lightning talk
  • title: Optimizing the Energy Transition in Developing
    Countries: Exploring the Role of Grid-Forming Inverters in Unit Commitment and Optimal Dispatch Models
  • presenter: @Marco.Navia
  • description:
    This lightning talk is about the state of the art of GFMIs and their possible uses in the context of developing countries to ensure reliability and security. The talk will focus on the context of isolated and poorly connected grids. Furthermore, the integration of GFMI, operating in virtual synchronous machine (VSM) mode, is simulated into Unit Commitment and Optimal Dispatch Models to assess their impact on power system stability. By exploring various scenarios in the Bolivian Power System, surpassing 50% of penetration of grid-forming inverters in different zones.
  • optional link to the code repository: The Dispa-SET model — Documentation (
  • genre: lightning talk
  • title: A Global Solar PV Dataset using Planetary-Scale Machine Learning
  • presenter: @joe
  • description: Traditional data providers are struggling to keep up with the pace of global solar PV capacity growth. IRENA projects 400 GW of new solar capacity in 2023, and over 800 GW in 2027. TransitionZero is using machine learning to fill the growing gap in asset-level, utility-scale solar data. We are pleased to present the latest results from our global satellite-enabled solar PV search, which significantly improves on the coverage of existing open datasets.
  • optional link to the code repository: TBD
  • genre: lightning talk
  • title: Predicting Tomorrows Generation- and Consumption-Based Grid Emission Intensities for German Federal States using a Renewable Forecasting Tool based on atlite
  • presenter: @TimFuermann
  • description: Based on a joint research project for the transparent calculation of grid emission intensities for Germany in high spatial and temporal resolution, we present the integration of global meteorological short-term forecast data into atlite and its use to predict tomorrows generation- and consumption-based grid emission intensities for German federal states.
  • optional link to the code repository: TBD
1 Like