- 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
2 Likes
- 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.
2 Likes
- 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 (dispaset.eu)
2 Likes
- 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
- genre: lightning talk
- title: Cutting French Transmission Line Losses in Half Using ACCC
- presenter: @gdinmore
- description:
Replacing transmission conductors, or transmission lines – known in the industry as reconductoring - is France’s apt electrical transmission line expansion solution that has already shown its proof of concept in several other countries. On average, France loses 8.5% of its electricity production from resistive, capacitive, and inductive line losses, usually in the form of heat.
Our lightning talk investigates the economic advantages of reconductoring the French transmission and distribution lines. We also explain the actionable steps to achieve these goals and how much can be saved as a result.
- optional link to repository: TBD
- genre: lightning talk
- title: Platform-scale systems modelling
- presenter: @lkruitwagen
- description:
We present TransitionZero’s Future Energy Outlook: an open-access ecosystem of data services, systems modelling frameworks, and programmatic and graphical user interfaces. The expert modeller can access well-maintained data and scale run ensembles with our API and Python client. The non-technical analyst can access modelled results from the user community or dispatch their own via our web-based UI. This talk will present our progress and our roadmap, as well as the decisions and trade-offs we’ve made to productise systems modelling for non-technical users.
- optional link to the code repository: to come
1 Like
- genre: lightning talk
- title: Multi-scenario electricity market analysis using AMIRIS and scengen
- presenter: @felixnitsch
- description: We present scengen – a scenario generator for the electricity market model AMIRIS – which enables light-weight multi-scenario analysis. In this overview, we outline the comprehensive features available for scenario creation, the easy execution of AMIRIS, and a basic yet insightful analysis of results. Furthermore, we show practical applications, illustrating how these new features can be effectively utilized.
- optional link to the code repository: AMIRIS and scengen
- genre: lightning talk
- title: Metadata support for FAME models
- presenter: @schimi
- description: We enhanced FAME-Io to support metadata fields for any FAME-based model class and inputs. These can be easily associated with, e.g., Open Energy Ontology entries or any other type of metadata. This simplifies creating and maintaining automated (inter-) model workflows, such as automated model couplings or automated result documentation. We provide a quick glimpse on how these new features can be put to use.
- optional link to the code repository: FAME-Framework / FAME-Io · GitLab
- genre: lightning talk
- title: ESOPUS-data: More than a century of time series for power system analysis
- presenter: @eantonini
- description: Deeply decarbonized power systems often rely on large shares of variable renewable energy and electrification of end-use consumption, such as heating, which make them highly dependent on weather variability and climate change. Weather exhibits fluctuations on temporal scales ranging from sub-hourly to yearly while climate variations occur on decadal scales. To investigate the intricate interplay between weather patterns, climate variations, and power systems, here we present a framework to generate time series of wind power generation, solar power generation, hydropower generation, heating demand, and cooling demand. The framework can generate time series at high temporal resolution for any country and for any period between 1940 and 2100. Our framework serves as a tool for understanding and addressing the challenges posed by the evolving energy landscape in the face of climate change.
- genre: lightning talk
- title: Presentation of ATLAS, RTE’s market simulation model
- presenter: @Emily.Little
- description: The ATLAS model simulates the various stages of the electricity market chain in Europe, including the formulation of offers by different market actors, the coupling of European markets, strategic optimization of production portfolios and, finally, real-time system balancing processes. ATLAS was designed to simulate the various electricity markets and processes that occur from the day ahead timeframe to real-time with a high level of detail. Its main aim is to capture impacts from imperfect actor coordination, evolving forecast errors and a high-level of technical constraints—both regarding different production units and the different market constraints.
- genre: lightning talk
- title: Optimisation of an electricity-and-heat coupled system at the territory scale: should the heat production be diluted or non-diluted?
- presenter: @LukasH
- description:
Unlike electricity production, which is centralised and mutualised throughout the territory, heating production is mainly decentralised and is specific to every dwelling.
The non-dilution question appears at two different levels: at the centralized-versus-individual level and between the individual heating solutions. First, dwellings connected to district heating networks are very unlikely to rely as well on individual heating devices. Secondly, we can ask ourselves if a dwelling investing in a particular individual heating solution (such as a gas boiler) is likely to add another heating equipment.
Taking into account, or not, this particularity will influence the MILP formulation (by adding non-dilution constraints) and therefore possibly influence the global results of the optimisation.
This lightning talk assesses the potential impact of non-dilution (on a simplified electricity-and-heat optimisation model) and addresses the following questions:
Does the non-dilution affect the optimisation results? To what extent?
Should the non-dilution be taken into account? In which context?
- optional link to the code repository:
1 Like
- genre: lightning talk
- title: Coupling energy planning tools with open-source macroeconomic models
- presenter: @Pierre-Jacques and @StanislasAugier
- description: Drawing from our PhD research, we will present the methods, challenges and insights of coupling open-source energy planning tools with open-source stock-flow consistent macroeconomic models. We designed such a coupling (between EnergyScope and GEMMES) for studying the intertwined energy and economic dynamics of the low-carbon transition in the case of Colombia. Among others, we study how the energy system’s planning gets modified when modelled in a fluctuating macroeconomic environment.
- optional link to the code repository: GitHub - energyscope/EnergyScope_coupling_GEMMES: Macro-economic model coupled with ESOM to represent the economic dynamics
1 Like
- genre: lightning talk
- title: Hubs.jl : a Julia library for industrial symbiosis optimization using a networked hubs approach
- presenter: @med.ta.mabrouk
- description: Hubs.jl is a library built on top of JuMP.jl and is designed to optimize industrial symbiosis, encompassing both energy and mass flows. Unlike conventional approaches, it broadens the hub concept beyond energy to include industrial hubs, offering insights into resource utilization within complex industrial systems. Hubs.jl promotes synergies and circularity inside the hubs and between them through network connections, which minimize waste and maximize resource utilization. Hubs.jl is versatile and doesn’t require prior knowledge of the system’s architecture, making it an ideal tool for early-stage analysis of industrial and energy systems.
- optional link to the code repository: will be available later
- genre: lightning talk
- title: Leveraging open datasets to provide building-level energy consumption estimates : a french test case
- presenter: @yassine_abdelouadou
- description : Several datasets pertaining to building energy consumption are made available by french public entities such as building simplified geometries, dwelling-level census, energy performance diagnosis, gas network routes and district-level energy consumption. By combining datasets at the building level, simplified energy models can be instantiated and simulated for various scenarii of occupant behavior and parameter uncertainties. District-level simulation results can then be compared to metered district-level energy consumption in order to select the most likely scenario. In this talk, we will present an overview of the methodology used, the most common pitfalls to avoid when leveraging these datasets, as well as an application to a local test case.
- link to code repository : https://gitlab.com/energytransition/buildingmodel
- genre: lightning talk
- title: Multi-agent reinforcement Learning for modeling electricity markets during the Energy Transition using the Ray Open-Source Library
- presenter: @JJ2491
- description: For the Energy Transition to be timely and feasible, functioning electricity markets are imperative. Yet, existing modeling approaches could be insufficient to appropriately assess future electricity market design. In this context, Reinforcement Learning appears as an alternative to further improve the existing modeling framework, by allowing policymakers to assess more intricate elements in the agent’s decision-making process. This presentation will explore some of the challenges, obstacles and opportunities for Multi-Agent Reinforcement Learning approaches with the Ray Libraries.