Metamodeling-Based Performance Analysis for Digital Power Plant

2018 ◽  
Author(s):  
Dengji Zhou ◽  
Tingting Wei ◽  
Shixi Ma ◽  
Huisheng Zhang ◽  
Di Huang ◽  
...  
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Modeling And Simulation ◽  
Resource Sharing ◽  
Information Exchange ◽  
Power Plants ◽  
System Modeling ◽  
Simulation Platform ◽  
Whole Life Cycle ◽  
The Relationship

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.

Study on Meta-Modeling Method for Performance Analysis of Digital Power Plant

2019 ◽  
Vol 142 (4) ◽  
Author(s):  
Dengji Zhou ◽  
Tingting Wei ◽  
Shixi Ma ◽  
Huisheng Zhang ◽  
Di Huang ◽  
...  
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Modeling And Simulation ◽  
Power Plants ◽  
System Modeling ◽  
Modeling Method ◽  
Simulation Platform ◽  
Meta Modeling ◽  
And Performance ◽  
Whole Life Cycle

Abstract 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. And the foundation of digital power plant is system modeling and performance analysis. However, there are some problems in the process of modeling establishment and performance analysis. For instance, each component has different dimensions and different types 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. Meta-modeling is a potential method to solve these problems. It defines the specification to describe different kinds of elements and the relationship between different elements. In this paper, the collaborative modeling and simulation platform for digital power plant has been established based on the meta-modeling method and the performance of the target power plant has been analyzed from different aspects via field data. The meta-modeling method consists of three parts: syntax definition, model development, and algorithm definition. In the comparative study between the meta-model and the traditional model, maximum average errors of the two methods are 8.72% and 4.74%, which reveals the high accuracy of the meta-modeling-based model. The result shows that the modeling and simulation platform for power plants can be used to reduce costs, decrease equipment failure rate, and improve plant output, so as to guarantee the safety and increase economics.

Description of Semantic Web Service in Wind Power Plant Based on OWL-S

2014 ◽  
Vol 543-547 ◽  
pp. 503-508
Author(s):  
Xin Ying Wang
Keyword(s):  
Power Plant ◽  
Semantic Web ◽  
Web Service ◽  
Wind Power ◽  
Information Exchange ◽  
Power Plants ◽  
International Standards ◽  
Wind Power Plant ◽  
Semantic Web Service ◽  
Wind Power Plants

IEC 61400-25 is a series of international standards on communication of wind power plants. The service defined by information exchange models in wind power plants communicates through being mapped to web service. Web service is described by WSDL, but with the limitation of WSDL itself, web service can not realize the semantic description, the automatic discovery and composition of service. So semantic web service is introduced, the service is described by OWL-S to realize the interconnection of wind power plant hardware devices from different manufacturers, to facilitate the sharing and reuse of devices function and to realize the sharing of wind power plant knowledge in semantic level.

Performance Analysis and Optimization of Double-Flash Geothermal Power Plants

2006 ◽  
Vol 129 (2) ◽  
pp. 125-133 ◽  
Author(s):  
Ahmet Dagdas
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Electricity Generation ◽  
Power Plants ◽  
Second Law ◽  
Western Turkey ◽  
Geothermal Power Plant ◽  
Base Points ◽  
Geothermal Power ◽  
Double Flash

One of the most important cycles for electricity generation from geothermal energy is the double-flash cycle. Approximately 25% of the total geothermal based electricity generation all over the world comes from double-flash geothermal power plants. In this paper, performance analysis of a hypothetical double-flash geothermal power plant is performed and variations of fundamental characteristics of the plant are examined. In the performance analysis, initially, optimum flashing pressures are determined, and energy and exergy values of the base points of the plant are calculated. In addition, first and second law efficiencies of the power plant are calculated. Main exergy destruction locations are determined and these losses are illustrated in an exergy flow diagram. For these purposes, it is assumed that a hypothetical double-flash geothermal power plant is constructed in the conditions of western Turkey. The geothermal field where the power plant will be built produces geofluid at a temperature of 210°C and a mass flow rate of 200kg∕s. According to simulation results, it is possible to produce 11,488kWe electrical power output in this field. Optimum first and second flashing pressures are determined to be 530kPa and 95kPa, respectively. Based on the exergy of the geothermal fluid at reservoir, overall first and second law efficiencies of the power plant are also calculated to be 6.88% and 28.55%, respectively.

Performance Analysis of Existing 600MW Coal-Fired Power Plant with MEA-Based CO2 Capture

2011 ◽  
Vol 130-134 ◽  
pp. 3807-3811
Author(s):  
Gang Xu ◽  
Shou Cheng Li ◽  
Xing Yuan ◽  
Yong Ping Yang ◽  
Xiao Na Song
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Economic Performance ◽  
Power Plants ◽  
Aspen Plus ◽  
Capture Process ◽  
Operating Data ◽  
Integrated Optimization ◽  
The Cost ◽  
Plant Efficiency

This paper presents the techno-economic performance of 600 MW coal-fired power plant with and without MEA-based CO2 capture process, based on the operating data of an existing power plant. The simulation and analysis are based on ASPEN PLUS, with fully consideration of features of existing coal-fired power plants and the integration of CO2 capture process with steam cycle. The results show that, when adopting CO2 capture process, the plant efficiency will decrease significantly. And the cost for electricity will increase dramatically. Through further system integrated optimization, the efficiency fall from 40.28% to 29.61%, which is still tremendous but obviously better performance than before.

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
Keyword(s):  
Power Plant ◽  
Wind Energy ◽  
Power Plants ◽  
Vertical Wind Shear ◽  
Lightning Activity ◽  
Wind Data ◽  
Wind Gusts ◽  
Hilly Region ◽  
The Relationship ◽  
Western Greece

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.

scholarly journals Modeling The Effect of Nitrogen Dioxide Produced In Shazand Power Plant Upon Air Pollution In Arak, Iran Using Sentinel-5 Satellite Data

2021 ◽  
Author(s):  
Mohammad Amin Ghannadi ◽  
Matin Shahri ◽  
Amir Reza Moradi
Keyword(s):  
Air Pollution ◽  
Power Plant ◽  
Nitrogen Dioxide ◽  
Power Plants ◽  
Control Points ◽  
Negative Effects ◽  
Third Order ◽  
Proposed Model ◽  
Data Location ◽  
The Relationship

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.

Solar Chimney Power Plant Performance Analysis in the Central Regions of Iran

2012 ◽  
Vol 135 (1) ◽  
Author(s):  
A. Asnaghi ◽  
S. M. Ladjevardi ◽  
A. Haghparast Kashani ◽  
P. Saleh Izadkhast
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Solar Radiation ◽  
Power Plants ◽  
Plant Performance ◽  
Solar Chimney ◽  
Electrical Grid ◽  
Central Regions ◽  
Solar Chimney Power Plant ◽  
A Site

In the current study, the performance analysis of a solar chimney power plant expected to provide off-grid electric power demand for villages located in Iranian central regions is presented. High annual average of solar radiation and available desert lands in the central parts of Iran are factors to encourage the full development of a solar chimney power plant for the thermal and electrical production of energy for various uses. The interested is in Kerman where solar radiation is much better than other areas of Iran. The obtained results clear that solar chimney power plants having 244 m diameter can produce from 25.3 to 43.2 MW h of electricity power on a site like Kerman during different months of a year, according to an estimation calculated from the monthly average of sunning. This power production is sufficient for the needs of the isolated areas and can even used to feed the main electrical grid.

scholarly journals The Relationship between Social Networks and Firm Performance

2015 ◽  
Vol 1 (01) ◽  
Author(s):  
Sylvia Manjeri Aarakit ◽  
Francis Keneth Kimbugwe
Keyword(s):  
Social Networks ◽  
Firm Performance ◽  
Resource Sharing ◽  
Information Exchange ◽  
Small Firms ◽  
Building Blocks ◽  
Manufacturing Firms ◽  
Primary Data ◽  
Small Scale ◽  
The Relationship

The study sought to investigate the relationship social networking construct and firm performance. A quantitative research design was employed, whereby data were collected, analyzed and presented using quantitative techniques. Primary data was collected directly from the respondents who are intrapreneurs employed in small and medium bakery and beverage manufacturing firms in Kampala Uganda. The results show a significant and positive relationship between social networks and firm performance (r=.521**, p<.01). This implies that, adhering to and implementing the advice and other information from the professionals, experienced business associates and colleagues will enhance the level of performance of the small scale manufacturing businesses. Further, regression results show that social networks predicted firm performance (Beta = .445, Sig=000). This study posits that social networks can be a cost-effective way of improving small firms’ performance, particularly manufacturing firms. It can therefore be recommended that, small firms support information exchange and resource sharing within and without the business through building blocks that enhance trust amongst its employees. This can be inexpensive method of finding out more efficient ways of operating thus improved firm performance.

A New Method for Determining Pulverized Coal Economic Fineness

2013 ◽  
Vol 441 ◽  
pp. 1072-1076
Author(s):  
Xiao Bin Huang ◽  
Pei Chao Zhang ◽  
Long Fei Liang
Keyword(s):  
Power Plant ◽  
Ignition Temperature ◽  
Power Plants ◽  
Thermal Power ◽  
Combustion Efficiency ◽  
Pulverized Coal ◽  
New Method ◽  
Thermal Power Plants ◽  
Coal Blending ◽  
The Relationship

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.

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