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The increasing integration of electric vehicles (EVs) into power systems is boosting future potentials for the smart grid due to the capability of storing and discharging electricity when it is required. Hence, this paper proposes a novel method to interact between two parking lots (PLs), while they exchange electricity. Each EV aggregator makes decision to trade electricity with the wholesale market (WM), selling electricity to EV owners as well as the amount of exchanging electricity with the other PL. Since EV aggregators share at least information with other agents, a distributed optimization model has to be used to manage each entity, independently, considering its local constraints. In this work, the alternating direction method of multipliers (ADMM) is utilized to coordinate the exchanging electricity between PLs. Numerical results reveal the effectiveness of the proposed distributed method to solve the EV aggregators problem by making the optimal decision in each hour.

Abstract Processing of granular material often requires mixing steps in order to blend cohesive powders, distribute viscous liquids into powder beds or create agglomerates from a wet powder mass. For this reason, using bladed, high-speed mixers is frequently considered a good solution by many types of industry. However, despite the importance of such mixers in powder processing, the granular flow behavior inside the mixer bowl is generally not totally understood. In this work extensive experimentation was performed comparing the behavior of a lab-scale mixer (1.9 l vessel volume) to that of a pilot-scale mixer (65 l vessel volume) with a mixture of some pharmaceutical excipients (e.g. lactose, cellulose). The aim was to propose a new and more detailed method for describing the complex powder rheology inside an high shear mixer using impeller torque, current consumption and particle image velocimetry (PIV) analysis. Particularly, a new dimensionless torque number is proposed for the torque profile analysis in order to isolate the contributions of mass fill and blade clearance at the vessel base. Impeller torque and motor current consumption were integrated with PIV to obtain more detailed information about the surface velocity and flow pattern changes in the pilot-scale mixer. Mass fill resulted to be one of the most critical variables, as predicted by the torque model, strongly affecting the powder flow patterns. An additional mixing regimes was furthermore defined according to the observation of the surface velocity of the powder bed.

The European Union climate policy, which reflects i.a. the provisions of UN Paris Agreement, implies many legislative and technological changes in many economic sectors, including the transport. Among the assumptions of the European Green Deal we find the one on significant reduction of greenhouse gases, especially in aviation and maritime transport until 2030 and 2050 respectively. In order to achieve the EGD goals, the European Commission has prepared a set of legislation proposals, the realisation of which should contribute to zero-emission trans-port, including maritime transport. The article presents the prospected reductions levels of air pollution by greenhouse gases presented in the EGD and „Fit for 55” communication, together with the possible obsticles on the way to achieve the mentioned reductions goals. Unijna polityka klimatyczna, odwołująca się m.in. do postanowień tzw. porozumień paryskich ONZ, wymaga zmian prawnych i technologicznych w wielu sektorach, w tym w transporcie. Wśród założeń Europejskiego Zielonego Ładu znalazł się także ten o znaczącej redukcji emisji gazów cieplarnianych, zwłaszcza w segmencie transportu lotniczego i morskiego odpowiednio do 2030 r. i 2050 r. Chcąc osiągnąć te cele, Komisja Europejska przygotowała pakiet projektów aktów normatywnych, których uchwalenie i realizacja mają przyczynić się do osiągnięcia zeroemisyjnego transportu, w tym transportu morskiego. W pracy przedstawiono zarówno prze-widziane poziomy redukcji zanieczyszczenia powietrza gazami cieplarnianymi, przyjęte w EZŁ, komunikacie „Gotowi na 55”, jak i bariery stojące na drodze do ich osiągnięcia.

We present a novel methodology to integrate heterogeneous micro-founded preferences into a dynamic computable general equilibrium model. This integrated model is linked to a bottom-up technology-rich electricity model and a stock-flow vehicle accounting model to quantify the social costs of electric vehicles as an endogenous, demand-driven abatement technology. Emission abatement is achieved through consumer choices that are recognised as a central driver of endogenous technological change. Endogenously determined emissions from vehicle use, electricity generation, and production provide an input to quantify external costs attributable to air quality and carbon emissions. We find that carbon and vehicle registration tax policies induce a significant shift away from conventional vehicles towards electric vehicles in Austria by 2030. The shift to electric vehicles results in small overall economic costs, a substantial decline in fuel demand that exceeds the increase in electricity demand to charge vehicle batteries, and overall positive net environmental benefits.

We present a sensitivity analysis for a mechanical model, which is used to estimate the energy demand of battery electric vehicles. This model is frequently used in literature, but its parameters are often chosen incautiously, which can lead to inaccurate energy demand estimates. We provide a novel prioritization of parameters and quantify their impact on the accuracy of the energy demand estimation, to enable better decision making during the model parameter selection phase. We furthermore determine a subset of parameters, which has to be defined, in order to achieve a desired estimation accuracy. The analysis is based on recorded GPS tracks of a battery electric vehicle under various driving conditions, but results are equally applicable for other BEVs. Results show that the uncertainty of vehicle efficiency and rolling friction coefficient have the highest impact on accuracy. The uncertainty of power demand for heating and cooling the vehicle also strongly affects the estimation accuracy, but only at low speeds. We also analyze the energy shares related to each model component including acceleration, air drag, rolling and grade resistance and auxiliary energy demand. Our work shows that, while some components make up a large share of the overall energy demand, the uncertainty of parameters related to these components does not affect the accuracy of energy demand estimation significantly. This work thus provides guidance for implementing and calibrating an energy demand estimation based on a longitudinal dynamics model.

The dynamic behavior and ride quality of railway vehicles are influenced by track quality. Monitoring riding comfort and safety is a major task of the Austrian Federal Railway’s Infrastructure Division. The track testing and recording car EM 250 provides a proven measuring instrument for modern track maintenance. Equipped with an inertial measuring system and an optical track gauge measuring system, the track testing and recording car can measure the track alignment and rail profiles at speeds of up to 220 km/h. The measurements, taken every 25 cm, provide binary data files that can be processed offline. Track quality parameters are measured as functions of vehicle acceleration and are stored in a database from which they can be easily retrieved from any computer in the company. The Bureau for Applied Mechanics and Mathematics was commissioned by the Austrian Federal Railways to develop the SIMULAT program for analyzing rolling stock dynamics. In developing the model, special consideration was given to the exact mathematical description of all elements affecting vehicle dynamics. Using an optical measuring system, the track testing and recording car determines the rail cross section on the basis of readings at individual points. The simulation program links the curve with the track data, allowing the analysis of the impact of worn profiles on running stability. For the simulation, the line layout and the track geometry deviations excite the model of track and vehicle. In a followup phase, the vector of generalized degrees of freedom is evaluated, and the results are displayed with a visualization program. The simulation results were compared with data recorded during a test run and showed satisfactory correspondence.

A reluctance to switch to electric vehicles is observed in various countries despite national efforts to promote them. The question of whether electric cars are capable of meeting daily mobility requirements in Germany is investigated. The analysis is based on data from the German Mobility Panel Survey from 1995 to 2010 and the travel survey of 2009 and 2010 for the Stuttgart, Germany, area and combines a long-term travel behavior analysis with a region-specific verification. The focus is on individuals who exclusively drive a car and walk during the day and who rely on the car as a primary means of transport. For this group, the determinants of the decision to drive an internal combustion engine vehicle versus a battery electric vehicle (BEV) are analyzed, with a focus on driving range and energy costs. Results of the analysis suggest that around 80% of all daily travel by car drivers could be done with currently available models of electric cars and that charging them only at night would be sufficient in most cases. Therefore, the driving range of BEVs cannot be the restricting factor. In contrast, the current cost structure of BEVs (high investment cost, low energy cost) is not favorable for the large share of drivers with low annual mileage because the high investment cost is not compensated for by low operation costs. In the Stuttgart region, drivers from the suburbs would benefit most from such energy cost savings; however, city dwellers would need other cost structures or incentives to switch to BEVs.

Ecosystem changes currently question the traditional allocation of fishing rights and quotas in the fishery of Northeast Atlantic mackerel and Norwegian spring-spawning herring in the Northeast Atlantic. Variability in the distribution of these highly migratory species escalated in a political conflict between member states of the European Union, Iceland, the Faroe Islands and Norway, which is a driving force for unsustainable fishery. The aim of this paper is to investigate this conflict by outlining the social understandings of diverse stakeholders by using the Q methodology. The method reduced the complexity of numerous opinions, detected four distinct perspectives and simultaneously categorised the participating stakeholders. Although the perspectives differ in various elements, the protection of economic interests seems to dominate over the quest for sustainability. The call of all stakeholders in this study to clarify the fishing rights in the Northeast Atlantic reveals a clear deficiency of the current international fishery management in handling abrupt ecological changes and the necessity to acknowledge this as a complex adaptive system.