scholarly journals Analyzing and Forecasting Lightning Flashes and the Related Wind Gusts at a Wind Energy Power Plant in a Hilly Region of Western Greece

2021 ◽  
Author(s):  
Athanassios A. Argiriou ◽  
Constaninos Kolokythas ◽  
Vassiliki Kotroni

Wind energy power plants are vulnerable, among others, to abrupt weather changes caused especially by thunderstorms associated with lightning activity and the accompanying severe wind gusts and rapid wind direction changes. Due to a range of damages such phenomena may cause, the knowledge of the relationship between the storm systems and the produced wind field is essential to establish a wind power plant during the construction and operation phase as well. In first part of this study, the relationship of severe wind gusts in regard to lightning activity in a wind farm in a hilly region of western Greece is investigated. Wind data come from wind turbines covering a period of three years (2012-2014), while the corresponding lightning data from the ZEUS lighting detection network. The analysis shows that wind gusts are well correlated to lightning strikes. Furthermore, correlation maximizes during winter when well organized weather systems affect the area and minimum in summer as a result of local storms due to thermal instability. In the second part the study focuses on the development of an ANN model in order to forecast these two parameters in a horizon of 1-h ahead by using except for the wind data, four variables namely CAPE, TTI, wind speed at the 500 hPa isobaric level and the 0-6 km vertical wind shear. The results revealed that proposed model could be considered as a promising tool in simulating the occurrence both of wind gusts and lightning flashes providing a relatively good evidence of the possibility of occurrence of such events.

Author(s):  
Dengji Zhou ◽  
Tingting Wei ◽  
Shixi Ma ◽  
Huisheng Zhang ◽  
Di Huang ◽  
...  

Digital power plant is the theory and method to improve the operating quality of power plant by quantifying, analyzing, controlling and deciding the physical and working objects of power plants in the whole life cycle. Signals and management information of power plants will be digitized, so as to realize information exchange reliably and accurately and large-scale distributed resource sharing based on the network technology. Then optimization decisions and scientific guidance for plant operation will be proposed by intelligent expert system based on the digital resources. Therefore, the foundation of digital power plant is system modeling and performance analysis. However, there are some problems in the process of the modeling performance analysis of digital power plant. For instance, each unit of the system model has different dimensions and different type of mathematical description, and the data or information used for modeling are defined differently and belong to different enterprises, who do not want to share their information. Metamodeling is potential to solve these problems. It defines the specification to describe a unit and the relationship between different elements. Compared with traditional modeling methodologies for thermal systems, metamodeling makes the model more standardized, and the relationship of the model elements is more explicit and better understood by the co-simulation partners. In this paper, the collaborative modeling and simulation platform for digital power plant has been established based on the metamodeling method and the performance of the target plant has been analyzed from different aspects via field data. The metamodeling method consists of three parts: syntax definition, model development and algorithm definition. The result shows that the collaborate modeling and simulation platform can be used to reduce costs, decrease equipment failure rate, and improve plant output, so as to guarantee the safety and increase economics.


2021 ◽  
Author(s):  
Mohammad Amin Ghannadi ◽  
Matin Shahri ◽  
Amir Reza Moradi

Abstract Nowadays, air pollution and its negative effects on human health is regarded as one of the most fundamental problems in the world. Iran as a developing country also deals with the issue of air pollution. Nitrogen dioxide (NO2) as one of the air pollutants leads to serious damage to the human respiratory system. The power plants are recognized as one of the main sources of producing NO2. In this research, the effect of NO2 produced in Shazand power plant on the air pollution in Arak metropolitan area, as one of the most polluted cities in Iran will be investigated using a third-order rational mathematical model. Sentinel-5 satellite images have been applied to monitor NO2 in the study area during the two years 2020-2019. The results indicate that the proposed model has been successful to model the relationship between the amount of NO2 produced in Shazand power plant and its propagation in Arak city using a set of control points with the values of RMSE, MAE and R2 equal to 6-10×2.1, 6-10×1.3 and 0.99 respectively. The results of model validation using check points with the values of RMSE, MAE and R2 equal to6-10×1.7 , 6-10×1.1 and 0.99 respectively indicate that the model can also be applied to any data location in the study area.


2013 ◽  
Vol 441 ◽  
pp. 1072-1076
Author(s):  
Xiao Bin Huang ◽  
Pei Chao Zhang ◽  
Long Fei Liang

Coal blending technology is commonly used in coal-fired thermal power plant in recent years to ease cost pressures. But thermal power plants still use empirical formula to determine the economic fineness of pulverized coal. This approach cannot change economic fineness of pulverized coal based on the proportion of blending coal timely and accurately, resulting in increasing carbon content of fly-ash and reduced combustion efficiency of boiler. In this paper, a new method for determining pulverized coal economic fineness is proposed. Dry ash-free basis volatile, coal uniformity index, ignition temperature, proportion of blending coal are considered as parameters. According to the relationship between these parameters, the best coal fineness can be obtained in real-time. Influences of coal blending technology are reduced greatly and the accuracy of the economic fineness is improved.


节能环保 ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 6-7
Author(s):  
Nuandong Song ◽  

With the continuous development of the national economy, the demand for power and energy has further increased. While meeting the concept of production and living electricity consumption, the implementation of energy conservation and environmental protection has become a major problem that must be considered in the development of power plants. This paper starts with the analysis of the relationship between the power plant and the environment, and gives the corresponding energy saving and environmental protection measures for the power plant, hoping to have some reference significance for the green development of the power plant.


Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2147 ◽  
Author(s):  
M. Rafique ◽  
Shafiqur Rehman ◽  
Md. Alam ◽  
Luai Alhems

Wind power is the world’s fastest-growing energy source. More power can be generated from wind energy through the use of new wind machine designs and techniques. The objective of the present work is to encourage people and governments to develop wind energy-based power plants to achieve sustainable energy infrastructures, especially in developing countries. In this paper, a feasibility study of a 100 MW grid-connected wind farm is conducted for five different cities of Saudi Arabia (KSA). The results indicate that the proposed power plant is feasible both technically and economically. All sites are found to be within the profitable range with Dhahran being the most feasible site among the others for the installation of the wind farm. A sensitivity analysis has also been carried out to find out the effects of different incentives on the payback period of the project.


2021 ◽  
Vol 9 (1) ◽  
pp. 97-102
Author(s):  
Wijaya Kusuma ◽  
Anang Dasa Novfowan ◽  
Abdul Manaf

One of the efforts to tackle the energy crisis is by reducing dependence on fossil energy sources and utilizing alternative energy. One of the alternative energy is wind energy. Wind energy can be used to make power plants. Wind power plant is a method to generate electrical energy by turning the wind turbine which connected to the generator, then the electrical energy which generated by generator used for supplying the load. However, the availability of the wind energy are not always constant in strength, thus to make this power plant work continuously to supplying the load it needed the element of electrical energy storage,that is battery.In order to make the electrical energy storage become efficient then used the component to support the battery charging, the presence of these component the energy produced can be stored optimallyand the battery life can be longer. The purpose of this study is to design and analyze the performance of the charger controller and battery in the PLTB system which is then used to support the work of the Wind Power Plant prototype system in State Polytechnic of Malang. The result of this study is how to choose the charger controller and battery based on some consideration, the characteristics of each components before and after be assembled in Wind Power Plant prototype system in State Polytechnic of Malang


Author(s):  
А.Н. Соболенко ◽  
М.В. Гомзяков

Авторы настоящей работы поставили целью исследование качества эргатического звена, входящего в состав такой сложной эргатехнической системы, какой является судовая энергетическая установка современного морского судна. Для достижения требуемого результата проведен обзор поломок и отказов главных силовых установок на транспортных и рыбодобывающих судах, осуществляющих деятельность в морях Дальневосточного федерального округа. Информационные базы надзорных органов содержат экспертные заключения о морских авариях с указанием их причин и предпосылок. Анализ ошибок, допущенных судовой технической службой при эксплуатации и обслуживании дизелей и послуживших причиной поломки, позволяет выработать меры по повышению надежности «человеческого фактора». На основе фактических данных установлена взаимосвязь дисфункции эргатического элемента и аварийных последствий. Достоверность выводов обусловлена значительным объемом исходных данных, составленных группами независимых экспертов. The authors of this work set the purpose of researching the ergatic element’s quality, as a part of ergotechnical system, such as a modern ship power plant. To achieve the desired result, a review of breakdowns and failures of the main power plants on transport and fishing vessels operating in the seas of the Far Eastern Federal District was made. The information databases of the supervisory authorities contain expert opinions on marine accidents with an analysis of their causes and background. Analysis of errors made by the ship's technical service during the operation and maintenance of diesel engines and which caused the breakdown, allows us to take measures to improve the reliability of the "human factor". The relationship between the dysfunction of the ergatic element and emergency consequences has been established is based on actual data. The reliability of the conclusions is due to a significant amount of initial data compiled by groups of independent experts.


2020 ◽  
Vol 39 (5) ◽  
pp. 6339-6350
Author(s):  
Esra Çakır ◽  
Ziya Ulukan

Due to the increase in energy demand, many countries suffer from energy poverty because of insufficient and expensive energy supply. Plans to use alternative power like nuclear power for electricity generation are being revived among developing countries. Decisions for installation of power plants need to be based on careful assessment of future energy supply and demand, economic and financial implications and requirements for technology transfer. Since the problem involves many vague parameters, a fuzzy model should be an appropriate approach for dealing with this problem. This study develops a Fuzzy Multi-Objective Linear Programming (FMOLP) model for solving the nuclear power plant installation problem in fuzzy environment. FMOLP approach is recommended for cases where the objective functions are imprecise and can only be stated within a certain threshold level. The proposed model attempts to minimize total duration time, total cost and maximize the total crash time of the installation project. By using FMOLP, the weighted additive technique can also be applied in order to transform the model into Fuzzy Multiple Weighted-Objective Linear Programming (FMWOLP) to control the objective values such that all decision makers target on each criterion can be met. The optimum solution with the achievement level for both of the models (FMOLP and FMWOLP) are compared with each other. FMWOLP results in better performance as the overall degree of satisfaction depends on the weight given to the objective functions. A numerical example demonstrates the feasibility of applying the proposed models to nuclear power plant installation problem.


2019 ◽  
Vol 7 (2B) ◽  
Author(s):  
Vanderley Vasconcelos ◽  
Wellington Antonio Soares ◽  
Raissa Oliveira Marques ◽  
Silvério Ferreira Silva Jr ◽  
Amanda Laureano Raso

Non-destructive inspection (NDI) is one of the key elements in ensuring quality of engineering systems and their safe use. This inspection is a very complex task, during which the inspectors have to rely on their sensory, perceptual, cognitive, and motor skills. It requires high vigilance once it is often carried out on large components, over a long period of time, and in hostile environments and restriction of workplace. A successful NDI requires careful planning, choice of appropriate NDI methods and inspection procedures, as well as qualified and trained inspection personnel. A failure of NDI to detect critical defects in safety-related components of nuclear power plants, for instance, may lead to catastrophic consequences for workers, public and environment. Therefore, ensuring that NDI is reliable and capable of detecting all critical defects is of utmost importance. Despite increased use of automation in NDI, human inspectors, and thus human factors, still play an important role in NDI reliability. Human reliability is the probability of humans conducting specific tasks with satisfactory performance. Many techniques are suitable for modeling and analyzing human reliability in NDI of nuclear power plant components, such as FMEA (Failure Modes and Effects Analysis) and THERP (Technique for Human Error Rate Prediction). An example by using qualitative and quantitative assessesments with these two techniques to improve typical NDI of pipe segments of a core cooling system of a nuclear power plant, through acting on human factors issues, is presented.


2012 ◽  
Vol 58 (4) ◽  
pp. 351-356
Author(s):  
Mincho B. Hadjiski ◽  
Lyubka A. Doukovska ◽  
Stefan L. Kojnov

Abstract Present paper considers nonlinear trend analysis for diagnostics and predictive maintenance. The subject is a device from Maritsa East 2 thermal power plant a mill fan. The choice of the given power plant is not occasional. This is the largest thermal power plant on the Balkan Peninsula. Mill fans are main part of the fuel preparation in the coal fired power plants. The possibility to predict eventual damages or wear out without switching off the device is significant for providing faultless and reliable work avoiding the losses caused by planned maintenance. This paper addresses the needs of the Maritsa East 2 Complex aiming to improve the ecological parameters of the electro energy production process.


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