Abstract: Electric vehicles (EVs) have gained great popularity in recent years in the United States. The reduction in the cost of EVs and the environmental regulations that seek to reduce the polluting gases generated by conventional petrol/diesel cars drive up the demand for electric vehicles. The traditional idea is to consider EVs as energy consumers, however Vehicle-to-Grid (V2G) is a technology that allows the batteries of parked EVs to operate as energy sources. V2G technology allows to store energy in EVs and then release it when this energy is needed. The implementation of V2G technologies can provide benefits to utility companies but also presents a series of challenges that must be analyzed and evaluated. V2G technology has a great potential to help Austin Energy use the energy stored in the EVs. This research focuses on the status of charging systems for EVs in Austin, the basic aspects of V2G technology, the standards related to V2G, and aims to provide specific and valuable applications of V2G technology for Austin Energy.

Abstract: The dispersion of pollutants from urban sources needs to be investigated and the mechanisms which have an influence on the dispersion need to be totally understood. UAV-based systems offer great potential for mobile exploration of air pollutants in the lower atmosphere due to the high maneuverability of multi-rotor UAVs. The aim of this study was to develop a UAV platform capable of performing high-resolution three-dimensional profiling of pollutants such as particulate matter (PM), ultrafine particles (UFP), black carbon (BC), as well as meteorological parameters including temperature, relative humidity, pressure, wind speed, and wind direction. This study included a smoke test to examine the propeller-caused airflows. The results showed that the sensor air inlets and wind sensor should be located at least 90 cm above the propeller level. In addition, a field test was conducted to evaluate the stability of the UAV platform and the in-flight performance of the sensors. During the three flights carried out, the UAV platform was stable, and the data collected with the sensors were consistent. Finally, a three-day measurement campaign was conducted to examine the short-term three-dimensional variation of the traffic-related pollutant concentrations near the federal road B14. The vertical profiles showed that concentrations were higher on the ground due to the proximity to the source and that high wind speeds help the fast dispersion of the pollutants. The horizontal profiles showed that the pollutant concentrations were higher at the roadside and decreased with increasing distance from the road. In conclusion, this UAV platform represents a low-cost, practical, and reliable method to study the three-dimensional distribution of pollutants near the source. Resumen: La dispersión de contaminates originado por fuentes urbanas necesita ser investigado y los mecanismos que tienen influencia en la dispersión deben ser totalmente comprendidos. Los sistemas basados en VANT ofrecen gran potencial en la exploración de contaminantes del aire en la parte inferior de la atmósfera debido a la alta manejabilidad de los VANT multirotor. El objetivo de este estudio fue el desarrollo de una plataforma, usando un VANT, capaz de realizar perfiles tridimensionales de alta resolución de contaminantes como material particulado, particulas ultrafinas, carbón negro, así como parámetros meteorológicos incluyendo temperatura, humedad relativa, presión, velocidad y dirección del viento. Este estudio incluyó una prueba de humo para examinar los flujos de aire provocados por las hélices del VANT. Los resultados mostraron que las entradas de aire de los sensores y el sensor de viento deben ubicarse al menos 90 cm por encima del nivel de la hélice. Además, se realizó una prueba de campo para evaluar la estabilidad del VANT equipado y el desempeño de los sensores en vuelo. Durante los tres vuelos realizados, VANT se mantuvo estable y los datos recolectados con los sensores fueron consistentes. Finalmente, se llevaron a cabo mediciones durante tres días para examinar la variación tridimensional a corto plazo de las concentraciones de contaminantes relacionados con el tráfico cerca de la carretera federal B14 en Stuttgart. Los perfiles verticales mostraron que las concentraciones eran mayores en el suelo debido a la proximidad a la fuente y que las altas velocidades del viento ayudan a la rápida dispersión de los contaminantes. Los perfiles horizontales mostraron que las concentraciones de contaminantes eran más altas al costado de la carretera y disminuían al aumentar la distancia desde la carretera. En conclusión, este VANT equipado representa un método de bajo costo, práctico y confiable para estudiar la distribución tridimensional de contaminantes cerca de la fuente.

Abstract: In this study, an approach for dressing metallic bonded honing stones with hard cutting grains on the basis of electrolysis is investigated. By a combination of concepts from electrochemical machining (ECM) and electropolishing, a test rig was designed and put into operation. In general, it can be stated that the approach investigated in this paper has proved to be a suitable dressing method for honing stones. However, the dressing result is highly dependent on bond components, cutting grain size, and concentration which lead to local differences in the material removal and irregular topographies. This could be overcome, for example, by setting the dressing parameters more precisely based on the best results presented in this paper. Resumen: En este estudio se investiga un enfoque para el rectificado de piedras de bruñir metálicas con granos de corte duros sobre la base de la electrólisis. Mediante una combinación de conceptos del mecanizado electroquímico (ECM) y del electropulido, se diseñó y puso en funcionamiento un equipo de pruebas. En general, se puede afirmar que el enfoque investigado en este trabajo ha demostrado ser un método de rectificado adecuado para las piedras de bruñir. Sin embargo, el resultado del reavivado depende en gran medida de los componentes de la unión, el tamaño del grano de corte y la concentración, lo que provoca diferencias locales en la eliminación de material y topografías irregulares. Esto podría superarse, por ejemplo, ajustando los parámetros de reavivado con mayor precisión sobre la base de los mejores resultados presentados en este trabajo.

Abstract: This project revises the 3D conceptual model for the Hvíthólar sub-area in the South Zone of Krafla Geothermal Field. Hvíthólar is one of 6 sub-areas in south Krafla, located at the intersection of the south boundary of Krafla caldera, striking E-W, and the NNE-SSW oriented fissure swarms of the North Volcanic Zone. The model developed in this study extends along Vestursvæði, Þríhvrningar, Hvíthólar and Sandabotnaskarð sub-areas with a combined area of around 30 km2. Hvíthólar is the only southern sub-area connected to Krafla power station and has exhibited a considerable production decline over the period of 1990 – 2013. According to a lumped simulation, the Hvíthólar reservoir follows a two tank open system with a volume of 6.00004 km3. The Hvíthólar enthalpy is approximately 1200 kJ/kg; chemically it presents a low concentration of Cl−, and high CO2. To date, most studies support the hypothesis that Hvíthólar characteristics and behaviour are due to the lack of a heat recharge and that the sub-area is in a phase of waning or even becoming extinct. An improved understanding of heat source location and permeability variations will provide the basis of future utilisation decisions. This study presents two alternative conceptual models for Hvíthólar in addition the existing one, as a means to test the current conceptual model in order to determine the potential to extend the life of the asset. An update of the geological model was carried out based on data from shallow and deep wells along the southern part of Krafla geothermal field. This update combined with existing data from surface exploration was used to generate three conceptual models in Leapfrog Geothermal. The models focus on the location of heat source, and the permeability variation at the intersection between caldera boundary and fissure swarm. Each of the models are validated with TOUGH2 simulations. Resumen: Este proyecto revisa el modelo conceptual 3D para la subárea Hvíthólar en la Zona Sur del Campo Geotérmico Krafla. Hvíthólar es una de las 6 subáreas en el sur de Krafla, ubicada en la intersección del límite sur de la caldera de Krafla, con rumbo E-O, y los enjambres de fisuras orientados NNE-SSO de la Zona Volcánica Norte. El modelo desarrollado en este estudio se extiende a lo largo de las subáreas Vestursvæði, Þríhvrningar, Hvíthólar y Sandabotnaskarð con un área combinada de alrededor de 30 km2. Hvíthólar es la única subárea sur conectada a la central de energía de Krafla y ha mostrado una disminución considerable de la producción durante el período 1990 - 2013. Según una simulación de lumped, el reservorio de Hvíthólar sigue un sistema abierto de dos tanques con un volumen de 6.00004 km3. La entalpía de Hvíthólar es de aproximadamente 1200 kJ / kg; químicamente presenta una baja concentración de Cl−, y alta concentración de CO2. Hasta la fecha, la mayoría de los estudios apoyan la hipótesis de que las características y el comportamiento de Hvíthólar se deben a la falta de una recarga de calor y que la subárea se encuentra en una fase de menguante o incluso de extinción. Un mejor entendimiento de la ubicación de la fuente de calor y las variaciones de permeabilidad en el campo proporcionarán la base de futuras decisiones de utilización. Este estudio presenta dos modelos conceptuales alternativos para Hvíthólar además del existente, como un medio para probar el modelo conceptual actual con el fin de determinar el potencial para extender la vida útil del activo. Una actualización del modelo geológico basado en datos de pozos poco profundos y profundos a lo largo de la parte sur del campo geotérmico Krafla fue realizada. Esta actualización, combinada con los datos existentes de la exploración de la superficie, se utilizó para generar tres modelos conceptuales en3D utilizando Leapfrog Geothermal. Los modelos se centran en la ubicación de la fuente de calor y la variación de la permeabilidad en la intersección entre el límite de la caldera y el enjambre de fisuras. Cada uno de los modelos está validado con simulaciones TOUGH2.

Abstract: Krafla Geothermal Field is located inside the Krafla Caldera in the Northeast of Iceland. The tectonic settings consist of a central volcano and its corresponding fissure swarm formed due to extension from plate spreading. The central volcano has a collapsed caldera dating ~110.000 years (Sæmundsson, 2008). Within the Krafla post Caldera collapse period, the orientation of the different extensional eruptive fissures evidence rotation of the plate. The initial events evidence above 20 degrees from North strike, whereas more recent events shifted orientation to be closer to 15 degrees North (Árnason, 2020). This paper discusses the chronological evolution of the Fissure Swarm inside Krafla Caldera and the effect on the stratigraphic reconstruction made in 2019 to compare conceptual models of the south zone subareas: Hvíthólar, Vestursvæði, and Sandabotnaskarð. This paper derived from the MSc Thesis project 3D Conceptual Model Hvíthólar Sub-area, Krafla carried out in 2019. This paper complements other publications such as (Castillo et al,2020).

Abstract: Stochastic time series methods for load forecasting are the traditional methods used by electric power companies [1] because they can model seasonal and stochastic behavior of the load [2]. A load time series has patterns that repeat at different time scales such as daily, weekly or yearly. These patterns indicate that load can be predicted and the shortest seasonality component has the highest effect on the forecast. There might be conditions in which load is in different time resolutions, has a different amount of missing data or is under special events such as COVID-19 pandemic. Load forecasting methods should be able to perform well under these circumstances. On the other hand, neural networks are a wide research topic, they can learn [3] and have low forecasting errors [4]. In this work we explain the main characteristics of load demand in time, load forecasting and we compare stochas-tic time series methods with neural networks for load forecasting in terms of the error with respect to the real load. Resumen: Los métodos de series de tiempo estocásticos para pronósticos de carga son los métodos tradicionales usados por compañías de energía eléctrica [1] porque pueden modelar el comportamiento estocástico y estacional de la carga [2]. Una serie de tiempo de carga tiene patrones que se repiten en diferentes escalas de tiempo como diaria, semanal o anual. Estos patrones indican que la carga puede ser predicha y que el componente de estacionalidad más corto tiene el efecto más grande en el pronóstico. Pude que haya condiciones en las cuales la carga este en diferentes resoluciones de tiempo, tenga una diferente cantidad de datos faltantes o este bajo eventos especiales como la pandemia COVID-19. Los métodos de pronóstico de carga deberían ser capaces de llevarse a cabo bien bajo estas circunstancias. Por otra parte, las redes neuronales son un tema de investigación amplio, ellas pueden aprender [3] y tienen errores de pronóstico bajos [4]. En este trabajo explicamos las principales características de la demanda de carga en el tiempo, pronósticos de carga y comparamos métodos de serie de tiempo estocásticos con redes neuronales para pronósticos de carga en términos del error con respecto a la carga real. [1] H. Wang, B.-S. Li, X.-Y. Han, D.-L. Wang and H. Jin, "Study of Neural Networks for Electric Power Load Forecasting," Third International Symposium on Neural Networks - Advances in Neural Networks - ISNN 2006, Proceedings, Part II, pp. 1277-1283, 2006. [2] K. Berk, Modeling and Forecasting Electricity Demand, Siegen: Springer Spektrum, 2015. [3] H. Alfares and N. Mohammad, "Electric load forecasting: Literature survey and classification of methods," International Journal of Systems Science - IJSySc. 33, vol. 33, no. 1, pp. 23-34, 2002. [4] M. Singh and R. Maini, "Various Electricity Load Forecasting Techniques with Pros and Cons," International Journal of Recent Technology and Engineering (IJRTE), vol. 8, pp. 220-229, 2020.

Abstract: Fluid storage capacity measurements of core plugs in the laboratory consider pore volume as a function of effective stress. The latter is equal to applied confining pressure – n × applied pore pressure. However, the results are often reported as a function of difference in the applied pressures, because the effective stress coefficient (n) is an unknown. This creates confusion during the interpretation of laboratory data and leads to added uncertainties in the analysis of the storage capacity of the samples under in-situ conditions. In this paper, we present a new laboratory method that allows simultaneous prediction of the sample pore volume, the coefficient of isothermal pore compressibility, and the effective stress coefficient. These quantities are necessary to predict the fluid storage as a function of effective stress. The method requires two stages of gas (helium) uptake by the sample under confining pressure and pore pressure and measures pressure-volumedata. Confining pressure is always kept larger than the equilibrium pore pressure, but their values at each stage are changed arbitrarily. The analysis is simple and includes simultaneous solutions of two algebraic equations including the measured pressurevolumedata. The model is validated by taking the reference pore volume near zero stress. The reference volume predicted matches with that measured independently using the standard helium porosimeter. For sandstone, shale, and carbonate samples, the estimated pore compressibility is, on average, 10−6 psi−1. The effective stress coefficient is higher than unity and is a linear function of the ratio of the applied pressure values. We present a new graphical method that predicts the Biot coefficient (α) of the rock sample, a fundamental quantity used during the strain calculations that indicates the tendency of the rock to deform volumetrically. A new fundamental rule is found between the applied pressure difference and the effective stress: σe/α = pc − pp. Interestingly, the predicted Biot coefficient values for the shale samples show values between 0.46 and 1.0. This indicates that features of the shale sample, such as mineral variability, fine-scale lamination, and fissility, come into play during the fluid storage measurements. Resumen: Las mediciones de capacidad de almacenamiento de fluidos en tapones de núcleo en el laboratorio consideran el volumen poroso como una función del esfuerzo efectiva. Esta última, es igual a la presión de confinamiento aplicada - n × presión de poro aplicada. Sin embargo, los resultados a menudo se reportan como función de la diferencia en las presiones aplicadas, porque el coeficiente de esfuerzo efectivo (n) es desconocido. Esto crea confusión durante la interpretación de los datos de laboratorio y genera incertidumbres adicionales en el análisis de la capacidad de almacenamiento de las muestras en condiciones in situ. Resumen: En este artículo, presentamos un nuevo método de laboratorio que permite la estimación simultánea del volumen poroso de la muestra, el coeficiente de compresibilidad de poro isotérmico y el coeficiente de esfuerzo efectivo. Estas cantidades son necesarias para predecir el almacenamiento de fluido en función del esfuerzo efectivo. El método requiere dos etapas de absorción de gas (helio) por la muestra bajo presión de confinamiento y presión de poro y mide los datos de presión-volumen. La presión de confinamiento siempre se mantiene mayor que la presión de poro de equilibrio, pero sus valores en cada etapa pueden cambiar arbitrariamente. El análisis es simple e incluye soluciones simultáneas de dos ecuaciones algebraicas, incluidos los datos de presión-volumen medidos. El modelo se valida tomando el volumen de poro de referencia cerca de la tensión cero. El volumen de referencia estimado coincide con el medido de forma independiente utilizando un porosímetro de helio estándar. Para las muestras de arenisca, lutita y carbonato, la compresibilidad de poro estimada es, en promedio, 10−6 psi − 1. El coeficiente de esfuerzo efectivo es mayor a la unidad y es una función lineal de la relación de los valores de presión aplicados. Presentamos un nuevo método gráfico que predice el coeficiente de Biot (α) de la muestra de roca, una cantidad fundamental utilizada durante los cálculos de deformación que indica la tendencia de la roca a deformarse volumétricamente. Se encuentra una nueva relación fundamental entre la diferencia de presión aplicada y el esfuerzo efectivo: σe / α = pc - pp. Curiosamente, los valores del coeficiente de Biot estimado para las muestras de lutitas muestran valores entre 0,46 y 1,0. Esto indica que las características de la muestra de lutita, como la variabilidad mineral, la laminación a escala fina y la fisibilidad, entran en juego durante las mediciones de almacenamiento de fluidos.

Abstract: Using low-cost gas sensors for air quality monitoring promises cost e ective and convenient measurement systems. Nevertheless, the results obtained have a questionable quality due to di erent factors that can a ect sensor performance. The most discussed ones are relative humidity and air temperature. This investigation aimed to assess the behavior of B4-series low-cost gas sensors from Alphasense for measuring CO, NO, NO2, and O3 for di erent levels of relative humidity and temperature. These low-cost gas sensors were tested for six relative humidity levels from 10% to 85% with increasing steps of 15% and four temperature levels of 10 C, 25 C, 35 C, and 45 C against reference instruments in the laboratory. The e ect of these parameters on low-cost gas sensors was quantified in laboratory from which a correction algorithm was calculated, which was then applied to the field data. The applied algorithm improved the data quality of the low-cost gas sensors in most of the cases. Additionally, a low-cost dryer was assessed to reduce the influence of these factors on the low-cost gas sensors, which also proved to be suitable to enhance the data quality.

Abstract: The aim of this investigation is to assess the behavior of the low-cost sensors under different levels of temperature and relative humidity, which are the main parameters affecting their performance. Several set of experiments were carried out in both, laboratory and field conditions using four low-cost sensors from the company Alphasense. As a short summary of the experimental plan, the low-cost sensors were firstly tested under six relative humidity and four temperature levels against traditional reference instruments. This with the aim of developing a correction algorithm for these two parameters. Then the implementation of a low-cost dryer was evaluated which would reduce the influence of the mentioned parameters on the low-cost sensor behavior. All of these stated tests were performed in controlled conditions in the laboratory. In the end, a long-term experiment in the field was done. This experiment had a duration of one month, and its aim was to appraise the algorithm calculated from the laboratory when comparing their results against the concentrations measured by a monitoring station in Marienplatz, Stuttgart. The relative humidity levels achieved during the laboratory experiments were from 10% until 85%, increasing in steps of 15%, and the temperature levels were 10°C, 25°C, 35°C and 45°C. All low-cost sensors showed a significant improvement when the developed correction algorithm was applied, which is reflected in the selected evaluation parameters (MAPE, MAE, linearity and offset). The relative humidity levels used for the assessment of the low-cost dryer were 40%, 55%, 70% and 85%, finding similar results obtained from the previous experiments. However, with the advantage that in this case, after the drying process, the relative humidity and temperature levels were stable, which leads to avoid applying a complex correction algorithm. The concentrations measured by the low-cost sensors with the applied correction showed improved results, with absolute errors of 38.18 ppb, 7.64 ppb and 4.27 ppb for CO, NO and NO2, respectively. Further investigation is also suggested, regarding the use of different set of sensor for checking the reproducibility as well as dynamic changes in the influencing parameters.

Abstract: Power systems have been dominated by synchronous generators for more than a century. The power system stability has been classically categorized with respect to the dynamics and interactions of the synchronous generator. The classic categories are rotor-angle, frequency, and voltage stability. However, due to the recent high penetration of inverterbased generators such as solar panels and wind turbines, instabilities have arisen outside the spectrum of the classical power system definitions. Therefore, in 2020, the slowinteraction converter-driven stability has been included in the power system stability classification by the IEEE Power System Dynamic Performance Committee. This instability has been observed in real-life cases showing undamped voltage oscillations, which have led to the partial disconnection of power systems. This work focuses on this recently classified instability whose investigation is in the early stages regarding its cause, detection and prevention. Therefore, this work proposes a methodology for the detection and prediction of this instability. This methodology is based on time-domain simulations, the computation of eigenvalues of the power system and the participation factors of oscillatory modes. The proposed tool has been effective in not only detecting but also anticipating the onset of converter-driven instability in operational scenarios with long-term voltage instability. The elements causing the instability are identified using the participation factors, which facilitate the tuning of inverter-based generators controls. Thereby, it is possible to mitigate the converter-driven instability before its manifestation and thus avoid undesired disconnection of generation units, or in the worst case, a potential system collapse. Resumen: Los sistemas de energía han estado dominados por generadores síncronos durante más de un siglo. La estabilidad del sistema de potencia se ha categorizado clásicamente con respecto a la dinámica y las interacciones del generador síncrono. Las categorías clásicas son el ángulo del rotor, la frecuencia y la estabilidad de voltaje. Sin embargo, debido a la reciente alta penetración de generadores basados en inversores, como paneles solares y turbinas eólicas, han surgido inestabilidades fuera del espectro de las definiciones clásicas de sistemas de energía. Por lo tanto, en 2020, la estabilidad impulsada por el convertidor de interacción lenta ha sido incluida en la clasificación de estabilidad del sistema de energía por el Comité de Desempeño Dinámico del Sistema de Energía de IEEE. Esta inestabilidad se ha observado en casos de la vida real que muestran oscilaciones de tensión no amortiguadas, que han provocado la desconexión parcial de los sistemas eléctricos. Este trabajo se centra en esta inestabilidad recientemente clasificada cuya investigación se encuentra en etapas tempranas en cuanto a su causa, detección y prevención. Por tanto, este trabajo propone una metodología para la detección y predicción de esta inestabilidad. Esta metodología se basa en simulaciones en el dominio del tiempo, el cálculo de los valores propios del sistema eléctrico y los factores de participación de los modos oscilatorios. La herramienta propuesta ha sido eficaz no solo para detectar sino también para anticipar el inicio de la inestabilidad impulsada por el convertidor en escenarios operativos con inestabilidad de voltaje a largo plazo. Los elementos que causan la inestabilidad se identifican utilizando los factores de participación, que facilitan el ajuste de los controles de los generadores basados en inversores. De esta manera, es posible mitigar la inestabilidad impulsada por el convertidor antes de su manifestación y así evitar la desconexión no deseada de las unidades de generación o, en el peor de los casos, un colapso potencial del sistema.