Grenoble workshop 2024: posters

Workshop
11

Hi @Lucie, thank you!
Yes indeed the scigrid webpage is down. It is just an admin matter dealing with paying the bill for the server service :smiling_face_with_tear:
I hope the site will be up before the end of this week and start of next week at the latest :grinning:

1 Like
12
  • genre: poster
  • title: Optimising the trajectory of investment in industry using a bottom-up approach
  • presenter: @qraillard
  • description: Industrial consumption in prospective energy modelling is generally a fixed input point for energy system models. The aim of the IND-OPT model is to use a bottom-up approach to optimise the industrial investment trajectory in a scenario-based economic context in order to derive future industrial energy consumption based on the technological choices made by the model. It is then possible to study the different frameworks favourable to the deployment of certain technologies or the consumption of specific energies.
    This poster will present the IND-OPT model, its associated database and the results of a paper currently undergoing peer review. In an earlier version, the model was used for a case study in a conference paper.
13
  • genre: poster
  • title: Using the ATLAS agent-based model to quantify the intraday value of flexibility assets on European electricity markets
  • presenter: @quentin.bustarret
  • description: A study was carried out to quantify the impact of short-term uncertainties in RTE’s 2050 outlook scenarios. Using the ATLAS model, the day-ahead market and three gate closures for the intraday market (the expected evolution of European regulation) were simulated with rolling forecast horizons for renewables and consumption forecasts. The results of the study underline the importance of flexibility assets, especially storage, whose revenu in the energy system is greatly underestimated by common dispatch models such as ANTARES. In particular, it was found that storage units capture a significant part of their value in the intraday markets; however, this signal is not currently communicated to investors and actors in prospective work. Furthermore, the impact of poor coordination between actors with incomplete information (price forecasts, production forecasts, technical constraints) could be estimated with ATLAS and also found to be significant in future flexible energy systems.
14

  • genre: poster

  • title: FEO-Global: Demonstrating a flexible, open-source energy system planning platform covering 163 countries

  • presenter: @amanmajid

  • description:

Recent times have seen a proliferation of national and regional open-source energy system models, enabled in part by the growing number of freely available modelling frameworks. Yet, there remains a dearth of “out-of-the-box” global-scale planning models. Those tools that do exist have erroneous data pipelines, entail significant technical expertise to use and can be inflexible, in that spatial and temporal scales cannot be easily traversed. As such, barriers to entry are high for non-technical users, while even competent users spend much of their time debugging. Here, we show FEO-Global, a productionised energy planning model with near-global coverage. FEO-Global is portable, scalable and well-maintained, and with cloud computing capability. This means users can rapidly setup and deploy multi-scale planning models, minimising the time spent fixing errors. In addition to explaining to logic behind FEO-Global, we demonstrate its application in a recent case-study exploring the economic benefits of global reinforcement of high-voltage interconnector capacity. Our case-study shows a $USD 3 trillion saving in transition costs if interconnectors are bolstered, relative to a case where no further transmission is built-out.

15

  • genre: poster

  • title: PyPSA-PL: Sectorally Coupled Energy Model to Inform Polish Energy Policy

  • presenter: @patryk

  • description: Poland is currently in the process of updating its National Energy and Climate Plan and shaping its official energy policy until 2040. To inform the ongoing public debate regarding the feasible energy transition pace and the achievable emission reduction targets, we (Instrat Foundation) expanded our in-house power system model by incorporating heating, mobility, and hydrogen sectors. In my poster presentation, I will provide an overview of the methodology employed in our model, discuss the scenarios we have developed, and highlight the influence our results had on the public debate in Poland.

  • optional link to the code repository: GitHub - instrat-pl/pypsa-pl: PyPSA-PL: optimisation model of the Polish energy system

  • link to the poster: poster_P_Kubiczek_openmod_Grenoble_2024.pdf (735.8 KB)

1 Like
16
  • genre: poster
  • title: LiPEM : An optimisation tool for teaching energy system planing with Linopy
  • presenter: @RobinGirard
  • description: The tool presented here was created for teaching. It allows to solve a single horizon multi-energy investment problem with hourly energy balance constraints. It has a case for Europe with 7 nodes that allows to do prospective analysis for 2030 and 2050. It is not as complete as PyPSA but more focused, the interest for teaching is that all equations are written explicitly with Linopy and that new equations can easily be added. This last feature can also be interesting for research. A simple interface is made available to modify the main economic assumptions.
  • link to the code repository: GitHub - robingirard/LiPEM: Multi-energy system planning tool based on linopy
17
  • genre: poster
  • title: AMIRIS 2.0
  • presenter: @schimi
  • description: The Agent-based Market model for the Investigation of Renewable and Integrated energy Systems AMIRIS was significantly enhanced in the last year. We present the most important new features, e.g., a market coupling algorithm, two additional storage operation strategies, a new financial Contract for Difference support scheme, as well as electrolysis units and associated dispatch strategies.
  • optional link to the code repository: dlr-ve / esy / AMIRIS / AMIRIS · GitLab
18

• genre: poster
• presenter: @anaelle.jodry
• title: Simulating wind power generation in France from observational data, meteorological data and technical turbine information.
• Description: As the world embraces sustainable energy, predicting future wind power generation is crucial for shaping effective policies, optimizing grid integration, and planning infrastructure development. In France, where wind power is a key contributor, accurate simulations are vital for a sustainable and efficient energy transition. In this work, we propose a methodology to build a model capable of simulating wind power generation using turbine technical information and meteorological data. First, we compare the different databases used (The Wind Power, ORE agency, and the French TSO RTE) and establish a more comprehensive unique database. Then, using ERA5 reanalysis and the past 10 years observed generation data, we construct the statistical model. Finally, this model is employed to simulate wind power generation.
• bibliography: Y.-M. Saint-Drenan et al., “A parametric model for wind turbine power curves incorporating environmental conditions”, vol. 157, pp. 754–768, 2020, Redirecting.
González-Aparicio et al., “Simulating European wind power generation applying statistical downscaling to reanalysis data,” Appl. Energy, vol. 199, pp. 155–168, Aug. 2017, Redirecting.
J. P. Murcia et al., “Validation of European-scale simulated wind speed and wind generation time series,” Appl. Energy, vol. 305, p. 117794, Jan. 2022, Redirecting.

19

  • Genre: Poster

  • Title: Hypatia: A Comprehensive Energy System Modeling Framework

  • Presenter: @khaledgad

  • Description:
    Hypatia is an energy system modeling framework built in Python, aiming to address the complex challenges associated with optimizing operational and long-term planning aspects of energy systems. This framework provides an advanced tool for decision-makers and researchers to explore different policy-driven scenarios for energy transitions, utilizing multi-objective optimization or near-optimal solutions to explore the entire spectrum of solutions based on optimizing net present cost or emissions. With its open-source nature, Hypatia offers a customizable solution for analyzing diverse energy transition possibilities, making it highly valuable for those interested in analyzing and shaping the future of energy systems. Hypatia leverages the versatility of the Python programming language, making it accessible and adaptable for users across different domains. The framework covers short-term and long-term time horizons, allowing users to gain insights into the dynamic behavior of energy systems over various planning horizons.

  • Documentation: Hypatia Documentation

  • Code Repository: Hypatia GitHub Repository

20
  • genre: poster
  • title: Geographical approach of congestions on the sub-transmission grid in France
  • presenter: @louise.petit1
  • description: Treating and analyzing geographical open data combined with grid data gives additional perspectives. With the objective of enhancing national or international power flow grid models, an explicit modeling of chosen local sub-transmission grids would give a better view on sub-transmission’ impact on Extra High Voltage (EHV) power flows.
    To choose the sub-transmission grid parts to be modelled explicitly, a study of correlations between congestion data and geographical open data is performed. Indicators that are the most correlated with congestions can be used to spot where to apply an explicit modeling of sub-transmission.
    The geographical correlation study, developped in the context of my PhD thesis, will be described in this poster.
21
  • genre: poster
  • title: Spatio-temporal complementarity of renewable resources by means of spatial functional data analysis
  • presenter: @tapiam
  • description: This work presents a methodology to characterize the spatio-temporal variability and complementarity of gridded solar and wind resource datasets using spatial functional data analysis. This approach allows first the identification of spatial areas with similar temporal variability patterns of the renewable resource under study. Then, using the solar or wind time series of the representative sites within each spatial area, the complementarity among the resources is analyzed using correlation coefficients. The methodology is implemented over Ecuador’s mainland and the Galapagos Islands to demonstrate its applicability over a region characterized by complex climate and terrain.
  • Documentation: More info here
22
  • genre: poster
  • title: Concept of a multi-energy operation model to support italian policy
  • presenter: @nathan.giovannini
  • description: Within the context of energy policy development, scientific support is pivotal for making informed decisions. Ricerca sul Sistema Energetico (RSE) employs an approach based on the soft-linking within a long-term optimization model, such as the TIMES model, and an operational model designed to analyze short-term criticalities, particularly within the electricity sector. Leveraging internal recent advancements in electricity-gas simulation models, the objective of this project is to build an efficient multi-energy operation model tailored for utilization in the Italian policy-making framework. The development will be grounded in state-of-the-art methodologies and innovative techniques to enhance its efficacy and relevance.
1 Like
23

  • genre: poster

  • title: the supply security in low carbon energy systems: an awareness uncertainty technical-economic approach

  • presenter: @sergio_leo

  • description: I want to present my topic thesis to share with the community how the intermittence and mild predictability of new renewable sources affect the reliability of the security of power supply modelled in long-term prospective models.
    I aim to develop a methodology to assess the impact of intrinsic uncertainty into parameters that affect the security of supply in long-term prospective models. Given that it exists, modelling approaches often overlook the significance of power supply security. Research shows that considering supply security largely impacts investment decisions and mix compositions. My research aims to investigate this aspect and apply an uncertainty-awareness methodology, assessing the vulnerabilities, resilience and hedging strategies for prospective scenarios.
    The proposed approach has to balance long-term and short-term prospective features to secure power supply while assessing the systemic impacts in energy decarbonization pathways. Techniques such as robust optimization, stochastic multi-period optimization or hybrid methods may be utilized. The ultimate goal is to emphasize the importance of power supply security in low-carbon energy systems pathways, thus contributing to policy decisions for securing European electricity supply by 2035 and 2050 toward carbon neutrality.

  • optional link to the code repository:

1 Like
24

I am working in a related subject to France, eager to discuss during the workshop

25
  • genre: poster
  • title: Impact of thermal unit constraints on market outcomes
  • presenter: @Emily.Little
  • description: Balancing energy markets are currently being implemented in the European power system, progressively replacing historical balancing processes. Occurring within the last hour before real-time, these markets are consequently subject to specific constraints. Amongst these, operating constraints applied to generation and consumption units heavily conflict with the order formulation process of market actors. This work curates a list of operating constraints–particularly related to thermal units–relevant to the balancing time frame, before highlighting the incomplete inclusion of these constraints in common energy market models. It then proposes a modeling approach that incorporates them in the agent-based model ATLAS, and demonstrates the impact of each one through a complete case study on the 2030 European power system. The results advocate for the relevance of including these constraints, especially in balancing market models. This poster presents the preliminary results of this study (performed by Florent Cogen in his ongoing PhD) that will be published in an article soon.
26
  • genre: poster
  • 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 poster 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
27
  • genre: poster
  • title: Evaluation of sub-sectorial GHGs emissions abatement costs through bottom-up energy system modeling: an Italian case study
  • presenter: @matteo.nicoli
  • description: In the perspective of making Europe a carbon-neutral continent by 2050, emission reduction measures should be supported by informed decision-making. This study proposes a methodology to use open energy system models to evaluate the marginal GHGs abatement cost curve associated with several abatement scenarios up to 2050, with a case study focused on Italy. Sectorial and sub-sectorial analyses are also provided to assess the role of different technologies in the decarbonization process. The maximum marginal cost (associated with the -90% emission reduction target in 2050 with respect to a reference scenario) is approximately 2500 €/t. The power sector turns out to be the cheapest sector to decarbonize (~ 100 €/t), while the transport sector (and the cars sub-sector specifically) the most expensive (~ 800 €/t). A carbon tax computed based on the obtained abatement cost is proposed as a possible policy implication, highlighting that a level higher than ~ 100 €/t should allow halving emissions by 2050 with respect to the reference, while a -90% reduction would require carbon pricing at levels near to 600 €/t.
  • optional link to the code repository: GitHub - MAHTEP/TEMOA-Italy: Model of the Italian energy system from 2006 to 2050, based on the TEMOA modeling framework and developed by MAHTEP Group.
1 Like
28

• genre: poster
• title: Modelling Alternatives for integrated PtX infrastructure between Denmark and EU
• presenter: Alberto Alamia (Aarhus University)
• description: The project investigates investment opportunities in Danish hydrogen (H2) and CO2 infrastructure, aiming to support the production of green fuels within the framework of a comprehensive, sector-coupled European energy system. Employing the PyPSA-Eur framework, we model the European transition towards 2050, identifying the least-cost energy systems aligned with climate targets. Previous research have underscored the tendency for the cost-optimal energy optimization to exhibit extremes in the solutions, where any slight advantage can favour a specific technology. To mitigate this artifact of the optimization process, we identify so-called near-optimal alternative scenarios. While these solutions may incur a slight increase in costs, they reveal the design flexibility inherent in the energy transition. To achieve this, we apply a modified version of the Modelling All Alternatives methodology recently proposed at AU, offering a refined perspective on sustainable pathways within the evolving landscape of European energy systems.
• link to the code repository: Project start Jan 2024, Github not available yet

1 Like
29
  • genre: poster
  • title: Combined assessment of energy and material supply risks: a multi-objective energy system optimization approach
  • presenter: @gianvito.colucci
  • description:
    This work proposes a methodology to compare energy and material supply risks (SRs) using energy system models (ESMs) with multi-objective optimization (MOO) to analyze possible trade-offs between them. Indeed, on the one hand, the transition to renewable energy technologies is decreasing the fossil fuel import dependency that many countries have been suffering until today; on the other hand, such technologies are much more mineral-intensive than fossil-based ones. The proposed methodology involves the consistent definition of the SR for a reference energy system (that is described in terms of technologies and commodities) as two separate objective functions to be used in a MOO, that include risk indicators both at commodity and technology level. The trade-offs between system material and energy SRs, costs, and CO2 emissions were studied through MOO optimization for a case study developed within the open-source TEMOA framework, providing insights about technology competitiveness in terms of energy security.
  • optional link to the code repository: GitHub - MAHTEP/TEMOA-Italy: Model of the Italian energy system from 2006 to 2050, based on the TEMOA modeling framework and developed by MAHTEP Group.
1 Like
30
  • genre: poster
  • title: Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
  • presenter: @regueiroespino
  • description: Forecasting complex dynamical phenomena in settings where only partial knowledge of their dynamics is available is a prevalent problem across various scientific fields. While purely data-driven approaches are arguably insufficient in this context, standard physical modeling based approaches tend to be over-simplistic, inducing non-negligible errors. In this work, we introduce the APHYNITY framework, a principled approach for augmenting incomplete physical dynamics described by differential equations with deep data-driven models. It consists in decomposing the dynamics into two components: a physical component accounting for the dynamics for which we have some prior knowledge, and a data-driven component accounting for errors of the physical model. The learning problem is carefully formulated such that the physical model explains as much of the data as possible, while the data-driven component only describes information that cannot be captured by the physical model, no more, no less. This not only provides the existence and uniqueness for this decomposition, but also ensures interpretability and benefits generalization. Experiments made on three important use cases, each representative of a different family of phenomena, i.e. reaction-diffusion equations, wave equations and the non-linear damped pendulum, show that APHYNITY can efficiently leverage approximate physical models to accurately forecast the evolution of the system and correctly identify relevant physical parameters.
  • link to the code repository: GitHub - yuan-yin/APHYNITY: Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting