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.

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.

Installation and Performance Analysis of 125 kW Organic Rankine Cycle for Stationary Fuel Cell Power Plant

2016 ◽  
Author(s):  
Kwanghak Huh ◽  
Parsa Mirmobin ◽  
Shamim Imani
Keyword(s):  
Renewable Energy ◽  
Fuel Cell ◽  
Power Plant ◽  
Performance Analysis ◽  
Power Plants ◽  
Waste Heat ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Molten Carbonate ◽  
And Performance

Installation and performance analysis of Thermapower™ 125MT Organic Rankine Cycle (ORC) System for recovery of waste heat from an existing Molten Carbonate Fuel Cell (MCFC) plant are presented. Over the last three years, about 100 MWe of new FC stationary power plants are in operation in Korea and more FC stationary power plants are on order and planned. The success of these fuel cell plants is their capability to supply both electricity and heat to customers. In order to promote renewable energy in Korea, the Korean Government is enforcing large power plants to supply electricity generated by renewable energy. The Korea Power Exchange (KPX) buys fuel cell generated electricity as renewable energy with higher price than other fossil fuel power plants [1]. Most of these FC plants supply electricity to power companies with their full capability, however valuable heat is wasted due to the limited demand, especially in summer season and off working hours or lack of heat pipe infrastructures. Due to the recent decrease in electricity price for renewable energy in Korea, the need for efficient utilization of waste heat is ever more demanding. In this study, 125 kWe ORC system is installed to 11.2 MWe FC power plant to demonstrate cost saving benefits. This FC Power plant has 4 units of 2.8 MWe fuel cell in operation and has capacity of producing 6.0 ton/h of 167°C steam. In order to install an ORC system to existing FC plant, their Balance of Plant (BoP) has to be modified since only excess steam is allow to be utilized by the ORC system, after supplying steam to their prime customer. Furthermore, site has distinctly hot and cold seasons, thus affecting condensing conditions and therefore ORC performance. Design considerations to accommodate varying ambient conditions as well as steam flow rate variation are presented and discussed.

Performance analysis of erosion resistant Mo2C reinforced WC-CoCr coating for pump impeller with Taguchi’s method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jashanpreet Singh ◽  
Jatinder Pal Singh
Keyword(s):  
Performance Analysis ◽  
Power Plants ◽  
Slurry Erosion ◽  
Pump Impeller ◽  
Content Type ◽  
And Performance ◽  
Thermally Sprayed ◽  
Practical Implications ◽  
Mill Process ◽  
Cobalt Chrome

Purpose This study aims to deal with development and performance analysis of high-velocity oxy-fuel (HVOF) thermally sprayed Mo2C-based WC-CoCr (tungsten carbine cobalt chrome) (Co-10% and Cr-4%) cermet coating deposited on the pump impeller steel 316 L. Design/methodology/approach In this work, a study was carried out by modifying the conventional WC-CoCr powder with a small addition of molybdenum carbide (Mo2C). Reinforcement was done by 1–4 wt.% addition of Mo2C feedstocks in WC-CoCr powder by using a jar ball mill process. The design of experiment was implemented for optimization of the percentage of Mo2C feedstock. L16 (4 × 4) orthogonal array was used to design the experiments for erosion output for the input parameters namely velocity, particle size, concentration and Mo2C proportion. Findings Results show that the Mo2C-based WC-CoCr coating provides better microhardness as compared to conventional WC-CoCr coating. The present study also reveals that the deposition of conventional WC-CoCr coating has improved the wear resistance of SS 316 L by 9.98%. However, the slurry erosion performance of conventional WC-CoCr coating was improved as 69.6% by the addition of 3% Mo2C. Practical implications WC-CoCr coatings are universally used for protecting the equipment and machinery from abrasion, erosion and corrosion. So, the 3% Mo2C-based WC-CoCr can be useful in power plants and various industries like mining, chemical, automobile, cementing and food processing industries. Originality/value A new HVOF coating has been developed by the addition of Mo2C feedstock in WC-CoCr powder (Co 10% and Cr 4%) and the percentage of Mo2C feedstock was optimized to improve the tribological behavior of WC-CoCr coating.

scholarly journals Performance analysis of microcontroller based electronic load controller

2018 ◽  
Vol 13 (1) ◽  
pp. 20-35
Author(s):  
Amir Raj Giri ◽  
Bikesh Shrestha ◽  
Rakesh Sinha
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
System Performance ◽  
Power Source ◽  
Total Power ◽  
Induction Generator ◽  
Hydro Power ◽  
Unique Method ◽  
And Performance ◽  
Electronic Load

The paper ‘Performance Analysis of Microcontroller based Electronic Load Controller’ is an approach for design, fabrication and performance analysis of microcontroller based ELC for 300 Watt Pico hydro controller. Electronic Load Controller (ELC) is an approach for regulating total power in the system with Pico-hydro power plant. The paper presents a unique method to maintain the system performance by regulating the generated power. The system voltage and current is measured by microcontroller to calculate the consumer power. Based upon the consumer power the dump power is varied accordingly. The performance analysis of ELC unit was done with power source from Nepal Electricity Authority (NEA) grid line as well as with separately excited induction generator under various loading conditions. The different resistive, capacitive and inductive loads were taken into consideration and the performance of the system based on voltage, current and power profiles were obtained.Kathmandu University Journal of Science, Engineering and TechnologyVol. 13, No. 1, 2017, 20-35

scholarly journals A Multicomponent Distributed Framework for Smart Production System Modeling and Simulation

2020 ◽  
Vol 12 (17) ◽  
pp. 6969
Author(s):  
Simon Gorecki ◽  
Jalal Possik ◽  
Gregory Zacharewicz ◽  
Yves Ducq ◽  
Nicolas Perry
Keyword(s):  
Modeling And Simulation ◽  
Manufacturing Systems ◽  
Business Models ◽  
Distributed Simulation ◽  
System Modeling ◽  
Smart Manufacturing ◽  
Distributed Modeling ◽  
Simulation Techniques ◽  
Distributed Framework ◽  
And Performance

In order to control manufacturing systems, managers need risk and performance evaluation methods and simulation tools. However, these simulation techniques must evolve towards being multiperformance, multiactor, and multisimulation tools, and this requires interoperability between those distributed components. This paper presents an integrated platform that brings interoperability to several simulation components. This work expands the process modeling tool Papyrus to allow it to communicate with external components through both distributed simulation and cosimulation standards. The distributed modeling and simulation framework (DMSF) platform takes its environment into consideration in order to evaluate the sustainability of the system while integrating external heterogeneous components. For instance, a DMSF connection with external IoT devices has been implemented. Moreover, the orchestration of different smart manufacturing components and services is achieved through configurable business models. As a result, an automotive industry case study has successfully been tested to demonstrate the sustainability of smart supply chains and manufacturing factories, allowing better connectivity with their real environments.

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.

Design and performance analysis of impulse turbine for a wave energy power plant

2004 ◽  
Vol 29 (1) ◽  
pp. 13-36 ◽  
Author(s):  
A. Thakker ◽  
F. Hourigan ◽  
T. S. Dhanasekaran ◽  
M. El. Hemry ◽  
Z. Usmani ◽  
...  
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Wave Energy ◽  
Impulse Turbine ◽  
And Performance
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