| 1. |
- Cutululis, Nicolaos Antonio, et al.
(författare)
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Challenges Towards the Deployment of Offshore Grids: the OffshoreDC Project
- 2014
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Ingår i: 13th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Plants, Berlin, Germany, 11-13 Nov. 2014. - 9783981387094
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Konferensbidrag (refereegranskat)abstract
- This paper summarizes challenges towards the deployment of offshore grids which are dealt with in the Nordic OffshoreDC project. The OffshoreDC project studies the techno-economic challenges related to assessment of the value and use of optimization in the design of offshore grids. The project also studies the technical challenges related to control, protection and provision of ancillary services from HVDC grids with connected wind power plants. Finally, the transients in the DC grids are studied in the project.
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| 2. |
- DeCarolis, Joseph, et al.
(författare)
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Leveraging Open-Source Tools for Collaborative Macro-energy System Modeling Efforts
- 2020
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Ingår i: Joule. - : Elsevier BV. - 2542-4351. ; 4:12, s. 2523-2526
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- The authors are founding team members of a new effort to develop an Open Energy Outlook for the United States. The effort aims to apply best practices of policy-focused energy system modeling, ensure transparency, build a networked community, and work toward a common purpose: examining possible US energy system futures to inform energy and climate policy efforts. Individual author biographies can be found on the project website: https://openenergyoutlook.org/. DeCarolis et al. articulate the benefits of forming collaborative teams with a wide array of disciplinary and domain expertise to conduct analysis with macro-energy system models. Open-source models, tools, and datasets underpin such efforts by enabling transparency, accessibility, and replicability among team members and with the broader modeling community.
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| 3. |
- Huertas-Hernando, Daniel, et al.
(författare)
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Hydropower Flexibility for Power Systems with Variable Renewable Energy Sources: An IEA Task 25 Collaboration
- 2019
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Ingår i: Advances in Energy Systems. - : Wiley. ; , s. 385-405
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- In order to effectively utilize hydro production flexibility, a sufficient amount of transmission capacity has to be available between the hydro-dominated part of the system and the part that requires operational flexibility. This chapter starts with a rough categorization of “base” hydropower flexibility, investigating the types of hydropower plants installed in power systems today. The “effective” hydropower flexibility available to support the integration of variable generation is a far more complex and case-specific aspect. It is discussed through national experiences. The chapter presents potential developments that would increase the participation of hydropower and discuss the ensuing challenges. Modeling a flow-based hydro system is a complex exercise, as is modeling the power system. Especially important is the correct assessment of hydropower flexibility to support power systems with a large share of variable generation (VG) and its value for storage. With increasing uncertainty and variability, a stochastic scheduling approach should yield lower costs.
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| 4. |
- Ihlemann, Maren, et al.
(författare)
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SpineOpt : A flexible open-source energy system modelling framework
- 2022
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Ingår i: Energy Strategy Reviews. - : Elsevier BV. - 2211-467X .- 2211-4688. ; 43
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Tidskriftsartikel (refereegranskat)abstract
- The transition towards more sustainable energy systems poses new requirements on energy system models. New challenges include representing more uncertainties, including short-term detail in long-term planning models, allowing for more integration across energy sectors, and dealing with increased model complexities. SpineOpt is a flexible, open-source, energy system modelling framework for performing operational and planning studies, consisting of a wide spectrum of novel tools and functionalities. The most salient features of SpineOpt include a generic data structure, flexible temporal and spatial structures, a comprehensive representation of uncertainties, and model decomposition capabilities to reduce the computational complexity. These enable the implementation of highly diverse case studies. SpineOpt's features are presented through several publicly -available applications. An illustrative case study presents the impact of different temporal resolutions and stochastic structures in a co-optimised electricity and gas network. Using a lower temporal resolution in different parts of the model leads to a lower computational time (44%-98% reductions), while the total system cost varies only slightly (-1.22-1.39%). This implies that modellers experiencing computational issues should choose a high level of temporal accuracy only when needed.
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| 5. |
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| 6. |
- Kiviluoma, Juha, et al.
(författare)
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Index for wind power variability
- 2014
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Ingår i: Proceedings of 13th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power (WIW 2014). - 9783981387094
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Konferensbidrag (refereegranskat)abstract
- Variability of large scale wind power generation isdependent on several factors: characteristics of installed windpower plants, size of the area where the plants are installed,geographic dispersion within that area and its weatherregime(s). Variability can be described by ramps in powergeneration, i.e. changes from time period to time period. Givenenough data points, it can be described with a probabilitydensity function. This approach focuses on two dimensions ofvariability: duration of the ramp and probability distribution.This paper proposes an index based on these two dimensionsto enable comparisons and characterizations of variabilityunder different conditions. The index is tested with real, largescale wind power generation data from several countries.Considerations while forming an index are discussed, as wellas the main results regarding what the drivers of variabilityexperienced for different data.
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| 7. |
- Kiviluoma, Juha, et al.
(författare)
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Spine Toolbox : A flexible open-source workflow management system with scenario and data management
- 2022
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Ingår i: SoftwareX. - : Elsevier BV. - 2352-7110. ; 17, s. 100967-100967
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Tidskriftsartikel (refereegranskat)abstract
- The Spine Toolbox is open-source software for defining, managing, simulating and optimising energy system models. It gives the user the ability to collect, create, organise, and validate model input data, execute a model with selected data and finally archive and visualise results/output data. Spine Toolbox has been designed and developed to support the creation and execution of multivector energy integration models. It conveniently facilitates the linking of models with different scopes, or spatio-temporal resolutions, through the user interface. The models can be organised as a direct acyclic graph and efficiently executed through the embedded workflow management engine. The software helps users to import and manage data, define models and scenarios and orchestrate projects. It supports a self-contained and shareable entity-relationship data structure for storing model parameter values and the associated data. The software is developed using the latest Python environment and supports the execution of plugins. It is shipped in an installation package as a desktop application for different operating systems.
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| 8. |
- Kiviluoma, Juha, et al.
(författare)
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Variability in Large-Scale Wind Power Generation
- 2016
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Ingår i: Wind Energy. - : John Wiley & Sons. - 1095-4244 .- 1099-1824. ; 19:9, s. 1649-1665
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Tidskriftsartikel (refereegranskat)abstract
- The article demonstrates the characteristics of wind power variability and net load variability in multiple power systems based on real data from multiple years. Demonstrated characteristics include probability distribution for different ramp durations, seasonal and diurnal variability, and low net load events. In some characteristics the power systems are different, but in others they are significantly similar. Somewhat surprisingly there seems to be no straightforward correlation between wind power penetration level and variability. As long as there are several wind power plants with enough geographical spread, most of the smoothing impact is captured. Wind power variability is mainly explained by the extent of geographical spread, but also higher capacity factor causes higher variability. It was also shown how wind power ramps are auto correlated and dependent on the operating output level. In most cases wind power did not have strong diurnal or seasonal variations in the variability. However, there can be exceptions depending on the latitude and on the local characteristics of the wind resource.
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| 9. |
- Lahermo, P, et al.
(författare)
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A quality assessment survey of SNP genotyping laboratories
- 2006
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Ingår i: Human Mutation. - : Hindawi Limited. - 1059-7794 .- 1098-1004. ; 27:7, s. 711-714
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- To survey the quality of SNP genotyping, a joint Nordic quality assessment (QA) round was organized between 11 laboratories in the Nordic and Baltic countries. The QA round involved blinded genotyping of 47 DNA samples for 18 or six randomly selected SNPs. The methods used by the participating laboratories included all major platforms for small- to medium-size SNP genotyping. The laboratories used their standard procedures for SNP assay design, genotyping, and quality control. Based on the joint results from all laboratories, a consensus genotype for each DNA sample and SNP was determined by the coordinator of the survey, and the results from each laboratory were compared to this genotype. The overall genotyping accuracy achieved in the survey was excellent. Six laboratories delivered genotype data that were in full agreement with the consensus genotype. The average accuracy per SNP varied from 99.1 to 100% between the laboratories, and it was frequently 100% for the majority of the assays for which SNP genotypes were reported. Lessons from the survey are that special attention should be given to the quality of the DNA samples prior to genotyping, and that a conservative approach for calling the genotypes should be used to achieve a high accuracy.
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| 10. |
- Nordström, Henrik, et al.
(författare)
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Strategies for Continuous Balancing in Future Power Systems with High Wind and Solar Shares
- 2023
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Ingår i: Energies. - : MDPI AG. - 1996-1073. ; 16:14
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Forskningsöversikt (refereegranskat)abstract
- The use of wind power has grown strongly in recent years and is expected to continue to increase in the coming decades. Solar power is also expected to increase significantly. In a power system, a continuous balance is maintained between total production and demand. This balancing is currently mainly managed with conventional power plants, but with larger amounts of wind and solar power, other sources will also be needed. Interesting possibilities include continuous control of wind and solar power, battery storage, electric vehicles, hydrogen production, and other demand resources with flexibility potential. The aim of this article is to describe and compare the different challenges and future possibilities in six systems concerning how to keep a continuous balance in the future with significantly larger amounts of variable renewable power production. A realistic understanding of how these systems plan to handle continuous balancing is central to effectively develop a carbon-dioxide-free electricity system of the future. The systems included in the overview are the Nordic synchronous area, the island of Ireland, the Iberian Peninsula, Texas (ERCOT), the central European system, and Great Britain.
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