Linköping Electronic Conference Proceedings
Not a member yet
1113 research outputs found
Sort by
Renewable Energy Resource Risk Quantification and Mitigation Assessment for Mining Micro-Grid
Full text linkAs one of the most energy-intensive industries, mining accounts for over one-third of industrial final energy consumption. With the growing mineral demand, combined with declining ore grades, it is expected that the energy demand in mining will only grow, potentially increasing its already large greenhouse gas footprint. With rising energy costs, renewable energy presents a viable option not only to improve the environmental footprint but also to reduce overall costs with optimized operation of mines. While renewable energy generators i.e., solar photovoltaics and wind turbines offer numerous benefits like modularity, environmentally friendliness, and natural availability; the major drawbacks are their temporal intermittency and seasonal and long-term variability. Hence, these generators pose a resource risk that the actual quantity of wind and solar irradiation can be less than expected. The resource risk imposes uncertainty in short-, medium- & long-term energy generation and consumption. Hence such risk needs to be actively considered and mitigated during the evaluation and operational phase of renewable or hybrid energy system projects. This paper provides a comprehensive review of renewable resource risk quantification techniques. Subsequently, a list of renewable energy resource risk quantification methods is discussed i.e., renewable reliability (i.e., the percentage of demand met by renewables), energy deficit and energy oversupply index, probability of exceedance (PoE) for annual energy production (AEP), probability of generating at least k MW of renewable power, capacity factor. Finally, some selected matrices are used to assess the effect of different risk mitigation options, e. g. the optimal size of energy storage
Experimental and Numerical Testing of a Multi-Modular Floating Structure with Varying Connection Stiffness
Full text linkThis work is a step towards conceptualizing a smart multi-modular structure, whose main application is solar energy harvest, with the innovative idea of connectors that can be controlled to mitigate motions and loads in a changing environment. The paper presents selected preliminary results from experimental tests of an array of floating column-based modules exposed to regular waves of different periods. Each pair of neighboring modules was connected by two spring connectors with both tension and compression stiffness. The paper presents an investigation of motion responses versus load frequencies corresponding to four tested spring stiffnesses.The model test results serve as a basis for validating a numerical model that is implemented for control design and simulation purposes. Wave-, mooring- and connector forces are considered in the simulations. The proposed method will act as a tool for further evaluation of the effect of changing the connection stiffness according to the incoming waves and the investigation of whether it is beneficial to apply a smart connector that can adapt to varying sea states
Assessing the impact of rising wind power with energy storage on grid resilience in Sweden to mitigate volatility and enhance grid flexibility
Full text linkThis paper assesses the impact of increasing wind power production and energy storage systems on grid resilience in Sweden. Wind power currently makes up 17% of Sweden’s electricity mix, and this share is expected to rise significantly in the coming decades as Sweden aims for 100% renewable energy generation by 2040. However, the variable and intermitted output can negatively impact grid stability. A microgrid model is developed, incorporating a wind turbine, battery storage, power grid, and a representative demand profile. Wind speed data is analyzed to select profiles representing high and low variability, with variance used as a metric for resilience. Planned production is constructed in 12-hour intervals based on wind speed forecasts. The model compares grid dependency and electricity delivery with and without battery storage of varying capacities. The results show that battery storage reduces grid interactions and grid dependency. Furthermore, it aligns actual wind power production with the planned production profile. Optimization analyses find that minimizing operational costs and battery usage increases grid reliance while minimizing costs and grid supplies provides a more stable supply but overuses batteries. Sensitivity analysis demonstrates higher grid dependency in high-variance wind conditions. The paper contributes to understanding how to enhance wind power resilience through improved production planning and battery integration. It proposes using variance analysis in wind profile selection and identifies trade-offs between system stability, costs and battery lifespan under different optimization strategies
CO2 Storage and Evaluation of Important Parameters Affecting the CO2 Plume Distribution: Simulation and Sensitivity Analysis
Full text linkCarbon capture utilization and storage (CCUS) offers a potential solution to reduce the direct CO2 emissions from stationary sources into the atmosphere. The captured CO2 is injected into deep saline-water saturated formations or in depleted oil and gas fields, or into the oil fields for storage and/or enhanced oil recovery (EOR). The primary objective of this study is to identify and analyze the critical parameters affecting CO2 plume development in the reservoir. Understanding the subsurface dynamics of carbon sequestration will facilitate to plan the subsurface process better. The plume dynamics over 30 years of injection and 170 years of post-injection period is investigated. The simulation results show that CO2 plume propagates at an increased rate during the injection period and continues to disperse at a comparatively reduced rate after the injection ends. The horizontal spread of plume is significantly greater than the vertical propagation when the horizontal permeability is larger than the vertical. Additionally, the plume volume shows a linear relationship with the injected CO2 amount. In terms of storage efficiency, the most prevalent CO2 is free phase super critical CO2 that contributes around 80% of the stored CO2 whereas the rest are structurally or residually trapped and dissolved CO2. From the sensitivity analysis in a homogenous reservoir, it can be concluded that the horizontal permeability is impacting the most (42%) for structural and residual trapping of CO2 whereas porosity impacts the most (38%) for dissolution of CO2 contributing to solubility trapping mechanism
Experimental and computational studies to investigate flow dynamics of Geldart A and Gledart B particles in a Circulating Fluidized Bed (CFB)
Full text linkCirculating fluidized beds is one of the emerging technologies to convert waste to energy and an attractive method on a large scale. Key components such as the loop seal, gas distributor and cyclone separator play pivotal roles in facilitating solid recirculation and heat transfer within the system. This study focuses on the design and optimization of a CFB reactor using data derived from Barracuda Virtual Reactor software (CPFD). Initially, data from a small scale CFB reactor with main dimensions of 84 mm diameter and a loop seal diameter of 34 mm was utilized for simulation validation. By comparing simulation results with experimental data, the accuracy and reliability of the computational model were ensured. Subsequently, different reactor models were constructed and analyzed to explore various configurations and operating conditions. The results obtained from simulation based design and optimization provided valuable insights into achieving the optimal performance of the CFB system. By refining geometry, efficiency was increased by 32%. Overall, this study contributes to advancing the understanding, application and design modification of CFB technology in waste to energy conversion and large-scale industrial processes
CLARIAH-EUS: A Strategic Network Helping Basque Country Researchers to Participate in European Research Infrastructures
Full text linkCLARIAH-EUS is a node within CLARIAH-ES, Spain’s distributed infrastructure for CLARIN and DARIAH, Europe’s leading digital research infrastructures for the humanities, arts, and social sciences. Focused on Basque or Basque culture-related research in these fields, CLARIAH-EUS offers scholars digital tools and resources. Distinct from other nodes, CLARIAH-EUS serves a language (Basque) rather than a specific territory, making the infrastructure transnational. This article outlines the rationale behind establishing CLARIAH-EUS, its development process, ongoing projects, and future plans
Pharmacolibrary - Free Library to Model Pharmacology
Full text linkMechanistic modeling of drug behavior and response isessential for rational drug development and personalizedtherapy, yet constructing, maintaining, reusing andcustomizing complex pharmacokinetic–pharmacodynamic andphysiologically based pharmacokinetic models can beerror-prone when implemented solely via equations or code.We introduce Pharmacolibrary, a free Modelica libraryoffering standardized acausal components forpharmacokinetics, pharmacodynamics,toxicokinetics/toxicodynamics and pharmacogenomics fromcompartmental and physiologically based templates to effectmodels and genotype–phenotype records—to simplify modelreuse, customization, and interoperability. Its utility isshowcased with gentamicin, midazolam, and fentanyl casestudies, including pharmacogenomics-driven clearanceadjustments and pharmacodynamics simulations
Master controller concept for power flexible energy systems
Full text linkA generic model of a master controller concept is presentedto demonstrate the advantages of aggregating multipleflexible electrical power units. The master controllerconsists of various submodels with different features. APower Balancing Controller ensures that the operation doesnot cause any imbalance with the traded power. A waterfallmethod that ensures that any ancillary service activationsare handled using the appropriate units to obtain cheapestoperation. Simulations of the concept include examples ofstep responses on aFRR activations, as well as actual aFRRdata from the Danish TSO. The results suggest that if thesystem consists of slow units, the aggregation of units canincrease the capacity offered to faster types of ancillaryservices. Additionally, by allowing certain units to shutdown automatically more capacity can be offered as theunits are no longer bound by minimum loads
Status of the SMArtInt Library: Simple Modelica Artificial Intelligence Interface
Full text linkThis paper presents the current status of the open-sourceModelica library SMArtInt (Simple Modelica ArtificialIntelligence Interface), which offers users astraightforward and efficient approach of integratingartificial intelligence via neural networks directly intoModelica models. We provide a detailed overview of thelibrary’s features, area of application, and developmentprocess. The primary focus is on the diverse use cases ofSMArtInt. The new version 0.5.1 brings an exciting featurewith the support of the ONNX format. ONNX (Open NeuralNetwork Exchange) is an open, cross-platform format for therepresentation and exchange of deep learning models. Thismeans that in addition to TensorFlow models (TFLite), manyother models, such as PyTorch can now also run in SMArtIntvia the ONNX format
Liaison: an open-source tool for distributed co-simulations
Full text linkThis paper presents Liaison (Liaison, 2025) a new open-source tool designed to address challenges related toportability, security, and intellectual property whensharing Functional Muckup Units. Built on the FunctionalMuckup Interface 3.0 standard, Liaison has a server-clientarchitecture that leverages Zenoh for communication(Corsaro et al., 2023. Zenoh is a novel pub/sub/queryprotocol that supports a variety of network topologiessuch as peer-to-peer, routed, mesh and brokeredcommunication with minimal configuration, settingLiaison apart from similar tools. An example of a case thatled the authors to develop this tool (Software-in-the-Looptesting of sail control systems for wind assisted propulsionof ships (Laursen et al. 2023)) is presented