Control of Fuel Cell Systems in Mobile Applications

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Low-power Renewable Possibilities for Geothermal IoT Monitoring Systems

Nowadays, humanity is facing a difficult challenge, because of sustainable energy use and production. One of the major ways to solve this problem is the usage of renewable energy as a sustainable and reliable source of electric power and heat. This trend is also obvious in the field of the Internet of Things (IoT), where research teams are increasingly focusing on renewable energy and its monitoring with IoT. This paper aims to map current research on the use of the Internet of Things with a special focus on use in geothermal applications. Information concerning renewable geothermal energy sources and individual IoT communication technologies is summarized. A basic Bluetooth iBeacon test case is also presented.©2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.fi=vertaisarvioitu|en=peerReviewed

Self Tuning Techniques on PLC Background and Control Systems With Self Tuning Methods Design

Advanced Process Control techniques have become standard functions of distributed control systems. Self tuning methods belong to Advanced Process Control (APC) techniques. APC techniques contain software packages for advanced control based on mathematical methods. APC tools are designed to increase the process capacity, yield and quality of products. Most of nowadays digital industry regulators and PLCs are provided with some kind of the self tuning constant algorithm. Practical part of the paper deals with design of the control systems which contain self tuning regulator. A control system with PID Self Tuner by Siemens and with visualization in WinCC is designed. There is a description of an implementation of the PID regulator as a function block which can be also used for extension control functions. Control systems for relay and moment self tuner with visualizations in WinCC are also designed

Federated Learning for Edge Computing: A Survey

New technologies bring opportunities to deploy AI and machine learning to the edge of the network, allowing edge devices to train simple models that can then be deployed in practice. Federated learning (FL) is a distributed machine learning technique to create a global model by learning from multiple decentralized edge clients. Although FL methods offer several advantages, including scalability and data privacy, they also introduce some risks and drawbacks in terms of computational complexity in the case of heterogeneous devices. Internet of Things (IoT) devices may have limited computing resources, poorer connection quality, or may use different operating systems. This paper provides an overview of the methods used in FL with a focus on edge devices with limited computational resources. This paper also presents FL frameworks that are currently popular and that provide communication between clients and servers. In this context, various topics are described, which include contributions and trends in the literature. This includes basic models and designs of system architecture, possibilities of application in practice, privacy and security, and resource management. Challenges related to the computational requirements of edge devices such as hardware heterogeneity, communication overload or limited resources of devices are discusse

Hybrid Power System Power Flow Analysis

Hybrid power supply system consists of a number of independent and different sources of electrical energy with differ-ent operating times during different seasons and with energy storage system. Deployment of a hybrid power system is expected in places outside the normal distribution network. For the further research and improvements it is necessary to know in detail the power flow from various sources to the load or to storage battery depending on different seasons. The paper presents data analysis results computed by application developed for detailed analysis of power flows within hy-brid power system. Developed application analyses the data from the monitoring system. Data has been acquired and recorded within last year. This data is visualized as power flows in the individual hybrid power system circuits. To-gether with electrical power the effectiveness and performance parameters of rectifier and DC/AC converter are evalu-ated. The paper describes achieved results and needs for further improvements of such solution

Using the IBM SPSS SW Tool with Wavelet Transformation for CO₂ Prediction within IoT in Smart Home Care

Standard solutions for handling a large amount of measured data obtained from intelligent buildings are currently available as software tools in IoT platforms. These solutions optimize the operational and technical functions managing the quality of the indoor environment and factor in the real needs of residents. The paper examines the possibilities of increasing the accuracy of CO2 predictions in Smart Home Care (SHC) using the IBM SPSS software tools in the IoT to determine the occupancy times of a monitored SHC room. The processed data were compared at daily, weekly and monthly intervals for the spring and autumn periods. The Radial Basis Function (RBF) method was applied to predict CO2 levels from the measured indoor and outdoor temperatures and relative humidity. The most accurately predicted results were obtained from data processed at a daily interval. To increase the accuracy of CO2 predictions, a wavelet transform was applied to remove additive noise from the predicted signal. The prediction accuracy achieved in the selected experiments was greater than 95%

Analysis of dataflows within industrial control system design

A design of industrial control system is a complex process which is usually divided into specific design steps. Results from antecedent step are generally inputs for the next step and there could be also other influences among steps. So there is a strong dataflow within an automation project especially if the range of designed system is large from the point of view of the signals count, components, variables, alarms and other messages etc. The ability of effective and reliable data transfer between the steps has significant influence on effectivity and quality of the design of an industrial control system. The main goal of the paper is an analysis of the design steps during the industrial control system design, definition of the dataflows between particular steps and description of a concept of automated system for data transmission within the design. The proposed concept is presented and evaluated on pilot industrial control system design project

Analysis of dataflows within industrial control system design

A design of industrial control system is a complex process which is usually divided into specific design steps. Results from antecedent step are generally inputs for the next step and there could be also other influences among steps. So there is a strong dataflow within an automation project especially if the range of designed system is large from the point of view of the signals count, components, variables, alarms and other messages etc. The ability of effective and reliable data transfer between the steps has significant influence on effectivity and quality of the design of an industrial control system. The main goal of the paper is an analysis of the design steps during the industrial control system design, definition of the dataflows between particular steps and description of a concept of automated system for data transmission within the design. The proposed concept is presented and evaluated on pilot industrial control system design project

Building heating technology in Smart Home using PI System management tools

For comfortable remote monitoring of some operational and technical functions inside own Smart Home building, it is possible to use a lot of useful programmes and tools. However, not each programme or tool is suited to this purpose, or it does not offer required functionality. The aim of this paper is to describe using an appropriate software tool of PI System for a real-time monitoring of acquired data from real technology parts located at a training centre of the Moravian-Silesian Wood Cluster. Then a superior system including applications of PI Coresight and PI ProcessBook is used for analysis and processing of these acquired data (e.g. by using the Dynamic Time Warping method for specific technological quantities). Each application has own advantages and disadvantages, which are evaluated in conjunction with possibilities of manipulating the data. In an experimental part, there are also applied a technological communication standard of BACnet to controlling heating, cooling and forced ventilation, and a software tool of DESIGO Insight for visualising the data in forms of tables, multi-layer graphs, and screens for a certain technology

Sheet Metal Design Approach for 3D Shaped Facade Elements with Integrated Solar Thermal Functionality

This paper provides an overview of the development of a 3D formed and metal-based facade element that combines a custom design and solar thermal functionality. To achieve this, a novel simplified solar thermal collector structure was developed using formed sheet metal half-shells with an integrated channel structure on the inside and a special absorber coating on the outside. The sheet metal half-shells were manufactured by highly innovative incremental sheet forming (ISF), which allows seamless integration into existing facades. As a part of this paper, the initial test results on thermal efficiency and the energy accumulation of the new collector type are presented