Использование цифрового двойника солнечной панели для анализа выработки электроэнергии солнечной электростанцией

A method of PV array-based calculation has been proposed, implemented and tested. The results showed the following. Array-based calculation is able to provide quite accurate results in Pmpp values for array, but defective modules with some electrical issues in particular array could be identified only with some additional modulebased analysis

Exchange Interaction and TcT_c in Alkaline-earth-metal-oxide-based DMS without Magnetic Impurities: First Principle Pseudo-SIC and Monte Carlo Calculation

The prospects of half-metallic ferromagnetism being induced by the incorporation of C atoms into alkaline-earth-metal-oxides are investigated by the first principle calculation. The origin of the ferromagnetism is discussed through the calculation of the electronic structure and exchange coupling constant by using the pseudo-potential-like self-interaction-corrected local spin density method. The Curie temperature ($T_c$) is also predicted by employing the Monte Carlo simulation. It is shown that by taking the electron self-interaction into account, the half-metallic ferromagnetism induced by C in the host materials is more stabilized in comparison with the standard LDA case, and the C's $2p$ electron states in the bandgap become more localized resulting in the predominance of the short-ranged exchange interaction. While the ferromagnetism in MgO$_{1-x}$C$_x$ is stabilized due to the exchange interaction of the $1st$-nearest neighbor pairs and might be suppressed by the anti-ferromagnetic super-exchange interaction at higher $x$, the ferromagnetism in CaO$_{1-x}$C$_x$, SrO$_{1-x}$C$_x$, and BaO$_{1-x}$C$_x$ is stabilized by both the $1st$- and $2nd$-nearest neighbor pairs, and $T_c$ monotonously increases with the C concentration.Comment: 5 pages, 5 figure

Методика и программное средство поиска аномалий в данных телеметрии солнечной электростанции на основе анализа нормализованных значений мощности

Objectives. In connection with the increase in the number of solar power plants, the automation of monitoring their performance becomes an urgent task. The search for anomalies in the operation of solar power plants is one of the main components of monitoring. The purpose of the study is to develop new methods and software algorithms for finding anomalies in the operation of solar panels based on the results of a digital twin created and trained according to the telemetry data of a solar power plant.Methods. The developed technique is based on statistical studies of deviations of power values at the point of maximum efficient operation of the solar panel calculated by the digital twin. In addition, a normalized value of the power in the maximum efficient operation of the solar panel was introduced for more accurate clustering and anomaly search.Results. Using the developed method of static search for half a year of observations, 18 anomalies were detected in the operation of the solar panels of the power plant. All cases are analyzed for the causes of anomalies in the operation of solar panels.Conclusion. It has been established that when using normalized power values in the analysis of deviations at the point of maximum power PN, it is possible to detect abnormal operation of individual panels. The level of deviation of the normalized values at the point of maximum power was calculated, indicating the presence of an anomaly in the operation of solar panel.Цели. В связи с увеличением количества солнечных электростанций актуальной задачей становится автоматизация мониторинга их работоспособности. Поиск аномалий в работе солнечных электростанций – одна из основных составляющих мониторинга. Цель исследования заключается в разработке новых методик и программных алгоритмов поиска аномалий в работе солнечных панелей на основе результатов работы цифрового двойника, созданного и обученного по данным телеметрии солнечной электростанции.Методы. Методика основана на статистических исследованиях отклонений значений мощности в точке максимально эффективной работы солнечной панели, рассчитанной цифровым двойником. Кроме того, введено нормализованное значение мощности максимально эффективной работы солнечной панели для более точной кластеризации и поиска аномалий.Результаты. С помощью разработанной методики поиска аномалий в данных телеметрии за полгода наблюдений обнаружены 18 аномалий в работе солнечных панелей электростанции. Все случаи проанализированы на предмет причин возникновения аномалий в работе солнечных панелей.Заключение. Установлено, что при использовании в анализе отклонений нормализованных значений мощностей в точке максимальной мощности PN возможно обнаружение аномальной работы отдельных панелей. Рассчитан уровень отклонения нормализованных значений в точке максимальной мощности, свидетельствующий о наличии аномалии в работе солнечной панели

Smart cities in a smart world

Very often the concept of smart city is strongly related to the flourishing of mobile applications, stressing the technological aspects and a top-down approach of high-tech centralized control systems capable of resolving all the urban issues, completely forgetting the essence of a city with its connected problems. The real challenge in future years will be a huge increase in the urban population and the changes this will produce in energy and resource consumption. It is fundamental to manage this phenomenon with clever approaches in order to guarantee a better management of resources and their sustainable access to present and future generations. This chapter develops some considerations on these aspects, trying to insert the technological issues within a framework closer to planning and with attention to the social impact

Re-evaluating the Form and Communication of Social Robots: The Benefits of Collaborating with Machinelike Robots

This paper re-evaluates what constitutes a social robot by analysing how a range of different forms of robot are interpreted as socially aware and communicative. Its argument juxtaposes a critical assessment of the development of humanlike and animal-like robotic companions with a consideration of human relations with machinelike robots in working teams. The paper employs a range of communication theories alongside ideas relating to anthropomorphism and zoomorphism in discussing human-robot interactions. Some traditions of communication theory offer perspectives that support the development of humanlike and animal-like social robots. However, these perspectives have been critiqued within communications scholarship as unethically closed to the possibilities of otherness and difference. This paper therefore reconfigures and extends the use of communication theory to explore how machinelike robots are interpreted by humans as social and communicative others. This involves an analysis of human relations with Explosive Ordnance Disposal (EOD) robots and with the robotic desk lamp, AUR. The paper positions social robotics research as important in understanding working teams containing humans and robots. In particular, this paper introduces the value of tempered anthropomorphism and zoomorphism as processes that support communication between humans and machinelike robots, while also ensuring that a sense of the otherness of the machine and respect for its non-human abilities is retained

Anthropology as Science Fiction, or How Print Capitalism Enchanted Victorian Science

Global Challenges (FSW

Virtual laboratory for testing of solar power plants in big data analysis

A virtual laboratory for Flash-tests of solar panels under standard field conditions has been proposed, implemented and tested. The results of testing showed the following. DT is able to provide STC data from field measurements. Forecasts can be done on real performance values. Virtual Flasher produces results that correlate better to the behavior of the module in the field

Digital twin in the Analysis of a Big Data

The concept of monitoring of solar power plants` condition by creation of digital twins of solar panels including Photovoltaic Mathematical model, Big data analytics engine and Artificial Intelligence (AI) Knowledge engine is offered. PV Mathematical model is created and her primary approbation is carried out