People’s Perception of Experimental Installations for Sustainable Energy: The Case of IFMIF-DONES

Nuclear facilities are a main milestone in the long way to sustainable energy. Beyond the well-known fission centrals, the necessity of cleaner, more efficient and almost unlimited energy reducing waste to almost zero is a major challenge in the next decades. This is the case with nuclear fusion. Different experimental installations to definitively control this nuclear power are proliferating in different countries. However, citizens in the surroundings of cities and villages where these installations are going to be settled are frequently reluctant because of doubts about the expected benefits and the potential hazards. In this framework, knowing the opinion of people and their perception of experimental fusion facilities is essential for researchers, administrations and rulemaking bodies planning future fusion plants. This is the case for IFMIF-DONES, a neutron irradiation facility to determine the most suitable materials for the future fusion reactors. The construction of this installation is starting in Escúzar (Granada, Spain), and this work presents a large survey among 311 people living or working in the village. Their perception, fears, hopes and other variables are analyzed, and the conclusions for future installations and their impact on the energy policy are presented.

AUTOMATION AND DIGITALIZATION OF ELECTRIC POWER OBJECTS

The application of automation and digitalization systems for the efficient use of electricity is con-sidered. The theoretical, technical and practical advantages and disadvantages of using this approach in the electric power industry have been determined. Provides an analysis of energy policy on the use of various types of energy sources in different countries. The trends in the de-velopment of the electric power industry associated with the introduction of automation systems are outlined.

Non-Linear Analysis of River System Dynamics Using Recurrence Quantification Analysis

Understanding the underlying processes and extracting detailed characteristics of rivers is critical and has not yet been fully developed. The purpose of this study was to examine the performance of non-linear time series methods on environmental data. Specifically, we performed an analysis of water level measurements, extracted from sensors, located on specified stations along the Nestos River (Greece), with Recurrence Plots (RP) and Recurrence Quantification Analysis (RQA) methods. A more detailed inspection with the sliding windows (epoqs) method was applied on the Recurrence Rate, Average Diagonal Line and Trapping Time parameters, with results showing phase transitions providing useful information about the dynamics of the system. The suggested method seems to be promising for the detection of the dynamical transitions that can characterize distinct time windows of the time series and reveals information about the changes in state within the whole time series. The results will be useful for designing the energy policy investments of producers and also will be helpful for dam management assessment as well as government energy policy.

America's Energy Gamble

How can America get back to an energy transition that's good for the economy and the environment? That's the question at the heart of this eye-opening and richly informative dissection of the Trump administration's energy policy. The policy was ardently pro-fossil fuel and ferociously anti-regulation, implemented by manipulating science and economic analysis, putting oil and gas insiders at the helm of environmental agencies, and hacking away at democratic norms that once enjoyed bipartisan support. The impacts on the nation's health, economy, and environment were - as this book carefully demonstrates - dire. But the damage can be reversed. Ordinary Americans, civil society groups, environmental professionals, and politicians at every level all have parts to play in making sure the needed energy transition leaves no one behind. This compelling book will appeal to course instructors and students, government and industry officials, activists and journalists, and everyone concerned about the nation's future.

Modeling Multivalued Dynamic Series of Financial Indexes on the Basis of Minimax Approximation

In this article, the problem of modeling a time series using the Minimax method is considered. The expediency of using Minimax to identify points of change in trends and the range of changes in the graphical figures of technical analysis is justified. Spline approximation of the dynamic process with range constraints was performed to improve the quality of the model. Investors are advised to refrain from making hasty decisions in favor of holding reliable shares (such as PJSC Novatek shares), rather than selling them. The purchase of new shares should be carefully analyzed. Through an approximation of the dynamic number of the applicable optimization problem of minimizing the maximum Hausdorff distances between the ranges of the dynamic series and the values of the approximating function, the applied approach can provide reliable justification for signals to buy shares. Energy policy occupies the highest place in the list of progress ratings according to news analytics of businesses related to the energy sector of the economy. At the same time, statistical indicators and technologies of expert developments in this field, including intellectual analysis, can become an important basis for the development of a robotic knowledge program in the field under study, an organic addition to which is the authors’ methodology of development in energy economics as in energy policy. This paper examines the model of approximation of the multivalued time series of PJSC Novatek, represented as a series of ranges of numerical values of the indicators of financial markets, with constraints on the approximating function. The authors consider it advisable for promising companies to apply this approach for successful long-term investment.