Grenoble workshop 2024: posters

Workshop
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
31
  • genre: poster
  • title: Wolf-I (Wide-area oscillations of low frequency with presence of IBRs)
  • presenter: @AlejandraCB
  • description: Interarea (or wide-area) oscillations are a complex and dangerous phenomena in power systems. They are difficult to model and simulate, even for AC systems with relatively simple synchronous machines. The large development of power electronics devices, required for every wind and solar piece of equipement, add to this complexity.
    WOLF-I aims at gaining a deeper understanding of the role of IBRs (Inverted-based resources) in the damping of interarea oscillations and develop methods and tools to design POD (power oscillation damping) controllers for new devices.
  • optional link to the code repository: -
32
  • genre: poster
  • title: Self-sufficiency for European countries in the transition towards a net-zero energy system: Exploring the role of alternative solar photovoltaic configurations
  • presenter: @parisa.r
  • description: In the wake of the gas crisis, European countries are focusing on building a more renewable energy system while increasing their energy self-sufficiency. Using the open source and sector-coupled model PyPSA-Eur, we look at how the energy transition path would differ if each country aimed to produce a certain share of its demand. As solar has proven to be a major resource for achieving self-sufficiency, we also implement alternative solar PV configurations including tracking, east-west facing PV panels, and combinations of these technologies with different inverter sizes in the model. The results will also quantify what growth rates for renewable capacities are needed in every country to pursue a self-sufficient renewable energy system, and how achievable are they in the light of historical experience.
33
  • genre: poster
  • title: Open certification process
  • presenter: @JuhaKiviluoma
  • description: One barrier to wide-spread adoption of open-source energy system models for professional use cases is trust in the results of these models. Comparison against other models can be useful, but it is not fully satisfactory since the results are usually not exactly the same and it can be hard to say why this is the case. Open certification process aims to augment the comparison based approach by creating a wide ranging set of small ‘system tests’ where the correct answer is known. Each model that wants to participate in the open certification process will then run an automated comparison to check the functioning of the features the particular model supports. The open certification process is supported by ‘interoperable energy system data specification’ and data transformation tools to decrease the effort needed to integrate a model with the certification process.
  • optional link to the code repository: energy-modelling-workbench · GitHub
2 Likes
34
  • genre : poster
  • title : Benchmark of Energy management strategies applied islanded Microgrids with Hybrid energy storage system (Hydrogen/battery)
  • Presenter : @Jean
  • Description : The transition to a 100% renewable energy mix is a real challenge in islanded Microgrids, which are traditionally equipped with diesel generators to ensure a reliable supply of electricity. The solution can consist in the introduction of long-term seasonal energy storage in the form of hydrogen, coupled with short-term battery storage (HESS) to ensure the quality and reliability of electricity supply, while limiting the cost. For this purpose, our study consisted in setting up and developing various energy management strategies applied to these HESS microgrids and evaluating them. These strategies can be based on simple rules, predictive methods or stochastic dynamic programming. We have implemented 2 rules based strategies in the open-source sizing optimization tool Microgrids.jl . We present the adopted modeling approach, a review of the advantages and drawbacks of these 2 strategies and their performance.
  • link to the code repository : very soon
35
  • genre: poster
  • title: Modeling Household Behavior in Solar Home Systems Electrification: A Case
    Study in Raqaypampa, Bolivia
  • presenter: @ClaudiaLSS
  • description: This study aims to devise a modeling approach to investigate the interconnections among self-declared energy practices, actual electricity consumption and external factors such as socioeconomic and cultural factors that influence residents’ lifestyle and energy behavior in remote communities. It is exemplified on a case study in Raqaypampa, using RAMP to shed light on the multifaceted relationships shaping the lifestyle and energy behavior of the community members. The findings highlight the dynamic interplay of individual practices, consumption patterns, and broader contextual factors, providing understanding of energy dynamics in this remote setting. These insights can potentially allow policymakers to design electrification initiatives tailored to the community’s unique needs and preferences, involving selection of appropriate energy technologies and ensuring accessibility based on daily routines.
36

[CANCELED]

  • genre: poster
  • title: HeatPro : python package toolbox to generate heat load profile for district heating
  • presenter: @RobinsonBeaucour
  • description: HeatPro is a tool box to generate customized heat demands. You can generate hourly losses for given parameters like external temperature, depth, … . You can disaggregate monthly or yearly heat consumption into hourly using different functions. The tool box will also evaluate supply and return temperatures. The tool box aims to permit a highly customizable workflow pipeline from inputs and timeseries to hourly district heating states that can be used for R&D purpose.
  • optional link to the code repository: comming asap
37

A tool providing a methodology for evaluating the sustainability of biogas/biomethane production types, tools for deriving datasets needed for potential assessments from geospatial and agricultural data, and a calculator for computing the final potentials. The aim of this set of tools is to calculate biogas potentials based on the currently available sustainable substrate base and to project future changes in production potentials. Additionally, a set of models are described to showcase some possible applications with biogas/biomethane as the dispatchable energy source in RES dominant energy system.

Biomethane, with all of the complexities surrounding its environmental friendliness, remains poorly understood and utilized in energy planning. On the other hand, with intensifying energy transitions efforts, biomethane policies across Europe are becoming increasingly more ambitious and at times even bloated, jeopardizing policies seeking to protect biodiversity and sustainable agriculture. The aim of our tools is, on the one hand, to propose a clear and comprehensible framework for evaluating biomethane production sustainability and, on the other hand, to educate the energy planning community about the benefits and challenges of utilizing this particular energy source in future systems.

38

Tool providing a methodology to evaluate the locations most suitable for rapid RES development according to REPowerEU policy. Location mapping based on prioritizing artificial and built surfaces (such as rooftops, parking areas, waste sites etc) and excluding protected areas (such as nature parks and reserves, bird migratory routes etc). Tools for extracting datasets of prioritized and excluded areas and accompanying data (for example, grid data for assessing the distance from identified areas). Tools for calculating the energy production potential of the location based on the type of RES being deployed.

In 2022, the EU proposed “Go-to Areas” for the RES mechanism. The mechanism aims to map and set out the locations for rapid deployment of RES projects. Now the member states of the EU are to map the location within their borders according to the methodology they will create. The aim of our tool is to propose a methodology that will take into account not only currently existing protected areas but also new areas that will become protected in the near future according to other EU’s biodiversity policies.

1 Like
39
  • genre: poster
  • title: How to enforce a non-anticipative energy management in microgrid sizing optimization?
  • presenter: @pierre-haessig
  • description: This poster is in relation to our lightning talk proposition on the risk of obtaining an ill-sized microgrid (i.e. one that cannot meet a prescribed Quality of Service level) when assuming perfect foresight. We try to highlight several possible paths for enforcing non-anticipative energy management (also called system operation of unit commitment and energy dispatch) in microgrid sizing optimization. Since we haven’t find a silver bullet approach, we compare the benefits and drawbacks of each approach.
  • optional link to the code repository: Microgrids.X — Microgrids.X documentation

Edit: poster available online on the HAL archive: at How to enforce non-anticipativity in microgrid sizing optimization ? - Archive ouverte HAL

40

genre: poster
title: Whole building simulation and optimization of PCM integration scenarios in buildings
presenter: @CK_Oluah
Description: Phase change materials (PCMs) continue to hold promise for reducing overall energy consumption in buildings, finding applications in enhancing the thermal performance of both passive and active building systems. However, the integration of PCMs into building envelopes poses a significant challenge due to various factors including PCM properties, building design, encapsulation strategies, integration methods, and climatic conditions. Addressing this complexity becomes imperative as buildings contribute significantly to global energy consumption.

In this study, we conducted whole-building simulations with different PCM configurations for typical Dutch building designs, including terraces, semi-detached, apartment blocks, and single-family houses. The simulations were performed using the DesignBuilder GUI for EnergyPlus to evaluate the impact of the aforementioned variables on a building’s final energy consumption.

Furthermore, the next phase of our study involves conducting a multiple-objective optimization scheme using various tools such as NSGA-III and GenOpt, followed by a comparison of the results obtained from these schemes. We also aim to explore new modeling tools being developed by participants to benchmark the robustness of our study.