Identification of the Efficiency Gap by Coupling a Fundamental Electricity Market Model and an Agent-Based Simulation Model

A reliable and cost-effective electricity system transition requires both the identification of optimal target states and the definition of political and regulatory frameworks that enable these target states to be achieved. Fundamental optimization models are frequently used for the determination of cost-optimal system configurations. They represent a normative approach and typically assume markets with perfect competition. However, it is well known that real systems do not behave in such an optimal way, as decision-makers do not have perfect information at their disposal and real market actors do not take decisions in a purely rational way. These deficiencies lead to increased costs or missed targets, often referred to as an “efficiency gap”. For making rational political decisions, it might be valuable to know which factors influence this efficiency gap and to what extent. In this paper, we identify and quantify this gap by soft-linking a fundamental electricity market model and an agent-based simulation model, which allows the consideration of these effects. In order to distinguish between model-inherent differences and non-ideal market behavior, a rigorous harmonization of the models was conducted first. The results of the comparative analysis show that the efficiency gap increases with higher renewable energy shares and that information deficits and policy instruments affect operational decisions of power market participants and resulting overall costs significantly.Funded by the German Federal Ministry for Economic Affairs and Energy, grant numbers 03ET4025A/03ET4025B

Modeling flexibility in energy systems : comparison of power sector models based on simplified test cases

Model-based scenario analyses of future energy systems often come to deviating results and conclusions when different models are used. This may be caused by heterogeneous input data and by inherent differences in model formulations. The representation of technologies for the conversion, storage, use, and transport of energy is usually stylized in comprehensive system models in order to limit the size of the mathematical problem, and may substantially differ between models. This paper presents a systematic comparison of nine power sector models with sector coupling. We analyze the impact of differences in the representation of technologies, optimization approaches, and further model features on model outcomes. The comparison uses fully harmonized input data and highly simplified system configurations to isolate and quantify model-specific effects. We identify structural differences in terms of the optimization approach between the models. Furthermore, we find substantial differences in technology modeling primarily for battery electric vehicles, reservoir hydro power, power transmission, and demand response. These depend largely on the specific focus of the models. In model analyses where these technologies are a relevant factor, it is therefore important to be aware of potential effects of the chosen modeling approach. For the detailed analysis of the effect of individual differences in technology modeling and model features, the chosen approach of highly simplified test cases is suitable, as it allows to isolate the effects of model-specific differences on results. However, it strongly limits the model's degrees of freedom, which reduces its suitability for the evaluation of fundamentally different modeling approaches

Model-related outcome differences in power system models with sector coupling - quantification and drivers

This paper presents the results of a multi-model comparison to determine outcome deviations resulting from differences in power system models. We apply eight temporally and spatially resolved models to 16 stylized test cases. These test cases differ in their renewable energy supply share, technology scope, and optimization scope. We focus on technologies for balancing the variability of power generation, such as controllable power plants, energy storage, power transmission, and flexibility related to sector coupling. We use harmonized input data in all models to separate model-related from data-related outcome deviations. We find that our approach allows for isolating and quantifying model-related outcome deviations and robust effects concerning system operation and investment decisions. Furthermore, we can attribute these deviations to the identified model differences. Our results show that trends in the use of individual flexibility options are robust across most models. Moreover, our analysis reveals that differences in the general modeling approach and the modeling of specific technologies lead to comparatively small deviations. In contrast, a heterogeneous model scope can cause substantially larger deviations. Due to a large number of models and scenarios, our analysis can provide important information on which investment and operation decisions are robust to the model choice, and which modeling approaches have an exceptionally high impact on results. Our findings may guide both modelers and decision-makers in properly evaluating the results of similarly designed power system models

Impacts of power sector model features on optimal capacity expansion: a comparative study

The transition towards decarbonized energy systems requires the expansion of renewable and flexibility technologies in power sectors. Many powerful tools exist to find optimal capacity expansion. In a stylized comparison of six models, we evaluate the capacity expansion results of basic power sector technologies. The technologies under investigation include base- and peak-load power plants, electricity storage, and transmission. We define four highly simplified and harmonized test cases that focus on the expansion of only one or two specific technologies to isolate their effects on model results. We find that deviating assumptions on limited availability factors of technologies cause technology-specific deviations between optimal capacity expansion in models in almost all test cases. Fixed energy-to-power-ratios of storage can entirely change model optimal expansion outcomes, especially shifting the ratio between short- and long-duration storage. Fixed initial and end storage levels can impact the seasonal use of long-duration storage. Models with a pre-ordered dispatch structure substantially deviate from linear optimization models, as missing foresight and limited flexibility can lead to higher capacity investments. A simplified net transfer capacity approach underestimates the need for grid infrastructure compared to a more detailed direct current load flow approach. We further find deviations in model results of optimal storage and transmission capacity expansion between regions and link them to variable renewable energy generation and demand characteristics. We expect that the general effects identified in our stylized setting also hold in more detailed model applications, although they may be less visible there

Improvement and sustainable management of river corridors in the Iberian Atlantic Region

Resumen de la contribución presentada en el congreso.SER Europe Conference, Restoration in the Era of Climate Change (11th, 2018, Reykjavick)Se incluyen 2 archivos: resumen de la ponencia y póster de la misma.VERBATIM: In the Iberian Atlantic Region, there are several landscape change processes (changes in the land use, presence of invasive species, activities regarding public use, intensification of agricultural and livestock farming, climate change) and phytosanitary problems (alder diseases caused by Phytophthora ssp.) that, currently, are threat factors of river corridor habitats. These factors are deteriorating and fragmenting them, and having a relevant impact on their functionality. The LIFE Fluvial project aims to mitigate these consequences, to improve the conservation status and to develop sustainable management measures of river and fluvio-estuarine corridors. Selected areas in the project are Natura 2000 sites belonging to several river basins located in the northwest of the Iberian Peninsula (Spain and Portugal). To this aim, LIFE Fluvial has designed the following actions: A detailed analysis of the current status and implementation of a trans-national model for the sustainable management of river corridors to reduce the negative impact caused by the threats and to avoid their spread towards other UE territories. Design and implementation of restoration projects to improve conservation status of the natural habitats of interest, connectivity and to reduce fragmentation. Control of invasive flora species that pose a threat to the conservation of river corridors, and improvement of their phytosanitary state by removing trees infected by Phytophthora Dissemination of the environmental relevance of river corridors and social awareness in terms of socioeconomic benefits and ecosystem services provided. Improvement of training/education and technical empowerment of the stakeholders involved in the management and conservation of river corridors. The project lasts four years (2017-2021) and includes a system to monitor the impact of the actions on habitats and ecosystem services provided by river corridors

Measurement of the cosmic ray spectrum above 4×10184{\times}10^{18} eV using inclined events detected with the Pierre Auger Observatory

A measurement of the cosmic-ray spectrum for energies exceeding $4{\times}10^{18}$ eV is presented, which is based on the analysis of showers with zenith angles greater than $60^{\circ}$ detected with the Pierre Auger Observatory between 1 January 2004 and 31 December 2013. The measured spectrum confirms a flux suppression at the highest energies. Above $5.3{\times}10^{18}$ eV, the "ankle", the flux can be described by a power law $E^{-\gamma}$ with index $\gamma=2.70 \pm 0.02 \,\text{(stat)} \pm 0.1\,\text{(sys)}$ followed by a smooth suppression region. For the energy ($E_\text{s}$) at which the spectral flux has fallen to one-half of its extrapolated value in the absence of suppression, we find $E_\text{s}=(5.12\pm0.25\,\text{(stat)}^{+1.0}_{-1.2}\,\text{(sys)}){\times}10^{19}$ eV.Comment: Replaced with published version. Added journal reference and DO

Energy Estimation of Cosmic Rays with the Engineering Radio Array of the Pierre Auger Observatory

The Auger Engineering Radio Array (AERA) is part of the Pierre Auger Observatory and is used to detect the radio emission of cosmic-ray air showers. These observations are compared to the data of the surface detector stations of the Observatory, which provide well-calibrated information on the cosmic-ray energies and arrival directions. The response of the radio stations in the 30 to 80 MHz regime has been thoroughly calibrated to enable the reconstruction of the incoming electric field. For the latter, the energy deposit per area is determined from the radio pulses at each observer position and is interpolated using a two-dimensional function that takes into account signal asymmetries due to interference between the geomagnetic and charge-excess emission components. The spatial integral over the signal distribution gives a direct measurement of the energy transferred from the primary cosmic ray into radio emission in the AERA frequency range. We measure 15.8 MeV of radiation energy for a 1 EeV air shower arriving perpendicularly to the geomagnetic field. This radiation energy -- corrected for geometrical effects -- is used as a cosmic-ray energy estimator. Performing an absolute energy calibration against the surface-detector information, we observe that this radio-energy estimator scales quadratically with the cosmic-ray energy as expected for coherent emission. We find an energy resolution of the radio reconstruction of 22% for the data set and 17% for a high-quality subset containing only events with at least five radio stations with signal.Comment: Replaced with published version. Added journal reference and DO

Measurement of the Radiation Energy in the Radio Signal of Extensive Air Showers as a Universal Estimator of Cosmic-Ray Energy

We measure the energy emitted by extensive air showers in the form of radio emission in the frequency range from 30 to 80 MHz. Exploiting the accurate energy scale of the Pierre Auger Observatory, we obtain a radiation energy of 15.8 \pm 0.7 (stat) \pm 6.7 (sys) MeV for cosmic rays with an energy of 1 EeV arriving perpendicularly to a geomagnetic field of 0.24 G, scaling quadratically with the cosmic-ray energy. A comparison with predictions from state-of-the-art first-principle calculations shows agreement with our measurement. The radiation energy provides direct access to the calorimetric energy in the electromagnetic cascade of extensive air showers. Comparison with our result thus allows the direct calibration of any cosmic-ray radio detector against the well-established energy scale of the Pierre Auger Observatory.Comment: Replaced with published version. Added journal reference and DOI. Supplemental material in the ancillary file

La televisión on-line en la Formación del Profesorado: un recurso educativo multilingüe y multidisciplinar

Jornadas de Innovación Docente de la Universidad de Oviedo (12ª, 2020, Oviedo)Este proyecto interdisciplinar y multilingüe ha sido diseñado con el objetivo de poner en funcionamiento un canal de televisión on-line para la Facultad de Formación del Profesorado y Educación y poner en valor los productos audiovisuales del alumnado. Para ello utiliza una metodología de enseñanza-aprendizaje colaborativa centrada en el alumnado. Los vídeos están grabados con dispositivos móviles, reforzando así la importancia del m-learning o aprendizaje con dispositivos móviles. El canal de tv, denominado DIDACTICTAC TV, no es sólo un elemento de comunicación e inter-relación entre el alumnado y el profesorado de dicha facultad sino que, además, ha generado un puente de unión con otras universidades nacionales y extranjeras y con centros escolares de Primaria y Secundaria. En el proyecto se han implicado un elevado número de docentes de la Facultad de Formación del Profesorado y Educación de la Universidad de Oviedo, además de docentes de otras tres universidades (Universidad de León-España, Kio University-Japón y Marie Curie Sklodowska University-Polonia) y de treinta y un centros de Educación Primaria y Secundaria. La evaluación del proyecto, en su primer año de vida, se ha realizado utilizado cuatro tipos de cuestionarios on-line para todo el profesorado y el alumnado implicado yse han realizado numeroso grupos de discusión con el alumnado. Los resultados parciales muestran un alto grado de satisfacción con el desarrollo del proyecto así como algunos aspectos a mejorar en su segundo año de desarroll