scholarly journals Cyber-physical system for assessing the impact of wind farms on environmental elements

2021 ◽  
pp. 60-66
Author(s):  
Taras Boyko ◽  
Mariya Ruda
Keyword(s):  
Life Cycle ◽  
Differential Equations ◽  
Wind Power ◽  
Physical System ◽  
Cyber Physical System ◽  
Wind Power Plant ◽  
System Of Differential Equations ◽  
Complex Landscape ◽  
Landscape System ◽  
The Impact

The article assesses the impact of wind power plants on the components of the environment, which are compartments of complex landscape systems, taking into account a number of their parameters. A list of impact categories has been made up, which represent the load on the environment; also, for each category, the relative contribution of harmful factors has been identified, taking into account possible scenarios for waste management. For all potential impacts, using the Eco-indicator methodology, ecological profiles have been built, which made it possible to obtain the values of ecological indexes (impacts) and eco-indicators, expressed in eco-points, characterizing the impact of the wind power plant under study. Mathematical modeling of the processes of influence of a separate wind power plant on the subsystems and layers of compartments was carried out, according to the results of which a system of differential equations has been obtained, the input data for which are individual indexes and eco-indicators, as well as statistical information on the functioning of the elements of the hierarchical structure of compartments of a complex landscape system. The structure graphs are formalized using the Kolmogorov system of differential equations. It is proposed to study the dynamics of the structure on the basis of solving a system of differential equations using the fourth-order numerical Runge – Kutta method. By solving the system of equations, it is possible to study (predict) the developmental stages of a complex landscape system in dynamic and stationary modes during the impact of the life cycle of wind turbines on the subsystems and layers of their compartments, in order to optimize human activities to ensure minimal environmental impact. It is proposed to use the presented algorithms as a mathematical support for a cyber-physical system for studying the states of complex landscape systems and assessing the impact of wind turbines on environmental components.   Keywords: cyber-physical system; renewable energy sources; complex landscape system; life cycle, ecosystem states; eco-points

scholarly journals Control the System and Environment of Post-Production Wind Turbine Blade Waste Using Life Cycle Models. Part 1. Environmental Transformation Models

Polymers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1828 ◽  
Author(s):  
Izabela Piasecka ◽  
Patrycja Bałdowska-Witos ◽  
Józef Flizikowski ◽  
Katarzyna Piotrowska ◽  
Andrzej Tomporowski
Keyword(s):  
Life Cycle ◽  
Power Plant ◽  
Wind Power ◽  
Power Plants ◽  
Negative Impact ◽  
Polymer Materials ◽  
Wind Power Plant ◽  
Polymer Waste ◽  
Wind Power Plants ◽  
The Impact

Controlling the system—the environment of power plants is called such a transformation—their material, energy and information inputs in time, which will ensure that the purpose of the operation of this system or the state of the environment, is achieved. The transformations of systems and environmental inputs and their goals describe the different models, e.g., LCA model groups and methods. When converting wind kinetic energy into electricity, wind power plants emit literally no harmful substances into the environment. However, the production and postuse management stages of their components require large amounts of energy and materials. The biggest controlling problem during postuse management is wind power plant blades, followed by waste generated during their production. Therefore, this publication is aimed at carrying out an ecological, technical and energetical transformation analysis of selected postproduction waste of wind power plant blades based on the LCA models and methods. The research object of control was eight different types of postproduction waste (fiberglass mat, roving fabric, resin discs, distribution hoses, spiral hoses with resin, vacuum bag film, infusion materials residues, surplus mater), mainly made of polymer materials, making it difficult for postuse management and dangerous for the environment. Three groups of models and methods were used: Eco-indicator 99, IPCC and CED. The impact of analysis objects on human health, ecosystem quality and resources was controlled and assessed. Of all the tested waste, the life cycle of resin discs made of epoxy resin was characterized by the highest level of harmful technology impact on the environment and the highest energy consumption. Postuse control and management in the form of recycling would reduce the negative impact on the environment of the tested waste (in the perspective of their entire life cycle). Based on the results obtained, guidelines and models for the proecological postuse control of postproduction polymer waste of wind power plants blades were proposed.

scholarly journals Manufacturing and Recycling Impact on Environmental Life Cycle Assessment of Innovative Wind Power Plant Part 2/2

Materials ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 204
Author(s):  
Patrycja Bałdowska-Witos ◽  
Krzysztof Doerffer ◽  
Michał Pysz ◽  
Piotr Doerffer ◽  
Andrzej Tomporowski ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Power Plant ◽  
Wind Turbine ◽  
Wind Power ◽  
Planning Process ◽  
Negative Impact ◽  
Polymer Materials ◽  
Wind Power Plant ◽  
The Impact

The process of conversion of wind kinetic energy into electricity in innovative wind power plant emits practically no harmful substances into the environment. However, the production stage of its components requires a lot of energy and materials. The biggest problem during production planning process of an innovative wind power plant is selection of materials and technologies and, consequently, the waste generated at this stage. Therefore, the aim of this publication was to conduct an environmental analysis of the life cycle of elements of a wind turbine by means of life cycle assessment (LCA) method. The object of the research was a wind power plant divided into five sets of components (tower, turbine structure, rotors, generators, and instrumentation), made mainly of steel and small amounts of polymer materials. Eco-indicator 99 was used as an analytical procedure. The impact of the subjects of analysis on human health, ecosystem quality and resources was assessed. Among the analyzed components, the highest level of negative impact on the environment was characterized by the life cycle of the wind turbine tower. The application of recycling processes is reducing the negative impact on the environment in the perspective of the entire life cycle of all studied elements of the wind power plant construction.

scholarly journals Life Cycle Analysis of Ecological Impacts of an Offshore and a Land-Based Wind Power Plant

2019 ◽  
Vol 9 (2) ◽  
pp. 231 ◽  
Author(s):  
Izabela Piasecka ◽  
Andrzej Tomporowski ◽  
Józef Flizikowski ◽  
Weronika Kruszelnicka ◽  
Robert Kasner ◽  
...  
Keyword(s):  
Life Cycle ◽  
Power Plant ◽  
Wind Power ◽  
Power Plants ◽  
Ecological Impacts ◽  
Offshore Wind ◽  
Wind Power Plant ◽  
Offshore Wind Power ◽  
Wind Power Plants ◽  
The Impact

This study deals with the problems connected with the benefits and costs of an offshore wind power plant in terms of ecology. Development prospects of offshore and land-based wind energy production are described. Selected aspects involved in the design, construction, and operation of offshore wind power plant construction and operation are presented. The aim of this study was to analyze and compare the environmental impact of offshore and land-based wind power plants. Life cycle assessment analysis of 2-MW offshore and land wind power plants was made with the use of Eco-indicator 99 modeling. The results were compared in four areas of impact in order to obtain values of indexes for nonergonomic (impact on/by operator), nonfunctional (of/on the product), nonecological (on/by living objects), and nonsozological impacts (on/by manmade objects), reflecting the extent of threat to human health, the environment, and natural resources. The processes involved in extraction of fossil fuels were found to produce harmful emissions which in turn lead to respiratory system diseases being, thus, extremely dangerous for the natural environment. For all the studied areas, the impact on the environment was found to be higher for land-based wind power plants than for an offshore wind farm.

scholarly journals THE WIND TURBINE AND THE ENVIRONMENT INTERACTION MODEL

2021 ◽  
Vol 82 (4) ◽  
pp. 51-60
Author(s):  
Taras Boyko ◽  
◽  
Mariia Ruda ◽  
Serhiy Stasevych ◽  
Olha Chaplyk ◽  
...  
Keyword(s):  
Power Plant ◽  
Wind Turbine ◽  
Wind Power ◽  
Environmental Impacts ◽  
Real System ◽  
Maximum Efficiency ◽  
Wind Power Plant ◽  
Environment Interaction ◽  
Complex Landscape ◽  
The Impact

The modeling of the mutual influence of the wind power plant and the ecosystem is carried out. It is proposed to consider the compartment of a complex landscape complex as an elementary structural element of the ecosystem. The wind power plant is a component of a complex landscape complex and is considered during its life cycle. The categories of environmental impact and the relative contribution of harmful factors for each category have been determined. The modeling was carried out using various scenarios of waste management, which will make it possible to reduce the negative impact of harmful factors for each category. Summary data on the impact of harmful factors on the environment were obtained, and ecological profiles were constructed using the Eco-indicator methodology. Such profiles, together with the weighting factors, allow a comprehensive presentation of environmental impacts and obtaining the values of eco-indicators that characterize the damage caused by a wind turbine to the environment. The process of synthesis of an industrial cyber-physical system is carried out by five typical steps, among which the process of ‘cyber-realization’ is to create a cyber twin and compare it with the real system. To implement this process, mathematical modeling was carried out, as a result of which a system of differential equations was obtained, the input data for which were the values of environmental impacts, expressed by the specified indicators. The resulting model will act as ideal for a real system ‘wind turbine – environment”, and will allow predicting the consequences of the harmful impact of a wind turbine on a complex landscape system and will determine the main impacts to achieve its maximum efficiency and adaptation to the requirements for environmental protection and conservation. Some results obtained using the developed model are presented.

Elaboration of stochastic models to comprehensive evaluation of occupational risks in complex dynamic systems

2021 ◽  
Vol 1 (104) ◽  
pp. 31-41
Author(s):  
A.P. Bochkovskyi
Keyword(s):  
Differential Equations ◽  
Markov Processes ◽  
Stochastic Models ◽  
Comprehensive Evaluation ◽  
System Of Differential Equations ◽  
Partial Derivatives ◽  
Occupational Risks ◽  
The Impact ◽  
Negative Factors ◽  
Over Time

Purpose: Elaborate stochastic models to comprehensive evaluation of occupational risks in “man - machine - environment” systems taking into account the random and dynamic nature of the impact on the employee of negative factors over time. Design/methodology/approach: Within study, the methods of probability theory and the theory of Markov processes - to find the limit distribution of the random process of dynamic impact on the employee of negative factors over time and obtain main rates against which the level of occupational risks within the "man - machine - environment" systems can be comprehensively evaluated; Erlang phases method, Laplace transform, difference equations theory, method of mathematical induction - to elaborate a method of analytical solution of the appropriate limit task for a system of differential equations in partial derivatives and appropriate limit conditions were used. Findings: A system of differential equations in partial derivatives and relevant limit conditions is derived, which allowed to identify the following main rates for comprehensive evaluation of occupational risks in systems "man - machine - environment": probability of excess the limit of the employee's accumulation of negative impact of the harmful production factor; probability of the employee’s injury of varying severity in a random time. An method to the solution the limit task for a system of differential equations, which allows to provide a lower bounds of the probability of a certain occupational danger occurrence was elaborated. Research limitations/implications: The elaborated approach to injury risk evaluation is designed to predict cases of non-severe injuries. At the same time, this approach allows to consider more severe cases too, but in this case the task will be more difficult. Practical implications: The use of the elaborated models allows to apply a systematic approach to the evaluation of occupational risks in enterprises and to increase the objectivity of the evaluation results by taking into account the real characteristics of the impact of negative factors on the employee over time. Originality/value: For the first time, a special subclass of Markov processes - Markov drift processes was proposed and substantiated for use to comprehensive evaluation of occupational risks in “man - machine - environment” systems.

scholarly journals Ground vibrations caused by wind power plant work as environmental pollution - case study

2019 ◽  
Vol 302 ◽  
pp. 01002
Author(s):  
Sylwester Borowski
Keyword(s):  
Power Plant ◽  
Environmental Pollution ◽  
Wind Power ◽  
Wind Farms ◽  
Wind Power Plant ◽  
Ground Vibrations ◽  
Living Organisms ◽  
The Impact

The paper presents issues related to the impact of wind farms on the environment. Emphasis was placed on vibrations that are transferred to the ground through the foundations. As research has shown - a case study - vibrations are felt up to about 1000 m from wind farms. According to other literature sources, this may affect living organisms in the ground.

An Integrative Machine Learning Method to Improve Fault Detection and Productivity Performance in a Cyber-Physical System

2020 ◽  
Vol 20 (2) ◽  
Author(s):  
Ming-Chuan Chiu ◽  
Chien-De Tsai ◽  
Tung-Lung Li
Keyword(s):  
Machine Learning ◽  
Computational Complexity ◽  
Fault Detection ◽  
Real Time ◽  
Physical System ◽  
Shop Floor ◽  
Cyber Physical System ◽  
Machine Learning Method ◽  
Learning Method ◽  
The Impact

Abstract A cyber-physical system (CPS) is one of the key technologies of industry 4.0. It is an integrated system that merges computing, sensors, and actuators, controlled by computer-based algorithms that integrate people and cyberspace. However, CPS performance is limited by its computational complexity. Finding a way to implement CPS with reduced complexity while incorporating more efficient diagnostics, forecasting, and equipment health management in a real-time performance remains a challenge. Therefore, the study proposes an integrative machine-learning method to reduce the computational complexity and to improve the applicability as a virtual subsystem in the CPS environment. This study utilizes random forest (RF) and a time-series deep-learning model based on the long short-term memory (LSTM) networking to achieve real-time monitoring and to enable the faster corrective adjustment of machines. We propose a method in which a fault detection alarm is triggered well before a machine fails, enabling shop-floor engineers to adjust its parameters or perform maintenance to mitigate the impact of its shutdown. As demonstrated in two empirical studies, the proposed method outperforms other times-series techniques. Accuracy reaches 80% or higher 3 h prior to real-time shutdown in the first case, and a significant improvement in the life of the product (281%) during a particular process appears in the second case. The proposed method can be applied to other complex systems to boost the efficiency of machine utilization and productivity.

scholarly journals Improved cyber-physical system captured post-flowering high night temperature impact on yield and quality of field grown wheat

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Nathan T. Hein ◽  
Raju Bheemanahalli ◽  
Dan Wagner ◽  
Amaranatha R. Vennapusa ◽  
Carlos Bustamante ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Physical System ◽  
Negative Impact ◽  
Grain Filling ◽  
Cyber Physical System ◽  
Differential Rate ◽  
Night Temperature ◽  
Rate Of Increase ◽  
Increased Risk ◽  
The Impact

AbstractWinter wheat (Triticum aestivum L.) is essential to maintain food security for a large proportion of the world’s population. With increased risk from abiotic stresses due to climate variability, it is imperative to understand and minimize the negative impact of these stressors, including high night temperature (HNT). Both globally and at regional scales, a differential rate of increase in day and night temperature is observed, wherein night temperatures are increasing at a higher pace and the trend is projected to continue into the future. Previous studies using controlled environment facilities and small field-based removable chambers have shown that post-anthesis HNT stress can induce a significant reduction in wheat grain yield. A prototype was previously developed by utilizing field-based tents allowing for simultaneous phenotyping of popular winter wheat varieties from US Midwest and advanced breeding lines. Hence, the objectives of the study were to (i) design and build a new field-based infrastructure and test and validate the uniformity of HNT stress application on a scaled-up version of the prototype (ii) improve and develop a more sophisticated cyber-physical system to sense and impose post-anthesis HNT stress uniformly through physiological maturity within the scaled-up tents; and (iii) determine the impact of HNT stress during grain filling on the agronomic and grain quality parameters including starch and protein concentration. The system imposed a consistent post-anthesis HNT stress of + 3.8 °C until maturity and maintained uniform distribution of stress which was confirmed by (i) 0.23 °C temperature differential between an array of sensors within the tents and (ii) statistically similar performance of a common check replicated multiple times in each tent. On average, a reduction in grain-filling duration by 3.33 days, kernel weight by 1.25% per °C, grain number by 2.36% per °C and yield by 3.58% per °C increase in night temperature was documented. HNT stress induced a significant reduction in starch concentration indicating disturbed carbon balance. The pilot field-based facility integrated with a robust cyber-physical system provides a timely breakthrough for evaluating HNT stress impact on large diversity panels to enhance HNT stress tolerance across field crops. The flexibility of the cyber-physical system and movement capabilities of the field-based infrastructure allows this methodology to be adaptable to different crops.

Multiplier for DSP Application in CPS System

2021 ◽  
pp. 229-250
Author(s):  
Abhishek Kumar
Keyword(s):  
Artificial Intelligence ◽  
Life Cycle ◽  
Physical System ◽  
Field Programmable Gate Array ◽  
Clock Cycle ◽  
Cyber Physical System ◽  
Performance Parameters ◽  
Field Programmable ◽  
Artificial Intelligence Algorithm ◽  
Gate Array

A cyber-physical system over field-programmable gate array with optimized artificial intelligence algorithm is beneficial for society. Multiply and accumulate (MAC) unit is an integral part of a DSP processor. This chapter is focused on improving its performance parameters MAC based on column bypass multiplier. It highlights DSP's design for intelligent applications and the architectural setup of the broadly useful neuro-PC, based on the economically available DSP artificial intelligence engine (AI-engine). Adaptive hold logic in the multipliers section determines whether another clock cycle is required to finish multiplication. Adjustment in algorithm reduced the aging impact over cell result in the processor last longer and has increased its life cycle.

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