Comparison and Optimization of Various Coated Ceramic Insulator Artificial Coastal Thermal Power Plant Pollution

2020 ◽  
Vol 29 (12) ◽  
pp. 2050199
Author(s):  
T. Mariprasath ◽  
S. Asokan ◽  
M. Ravindaran
Keyword(s):  
Silicone Rubber ◽  
Thermal Power ◽  
Effective Means ◽  
Thermal Plant ◽  
Electrical Stress ◽  
Laboratory Setup ◽  
Pollution Flashover ◽  
Plant Area ◽  
Artificial Neural Network Ann ◽  
Post Insulator

In power system, the post-insulator is a critical apparatus which carries the conductor and also provides isolation between the conductors as well as ground. Besides, it offers mechanical support. However, extreme weather and pollution cause post-insulator flashover, which results in interruption of power supply and revenue loss. Therefore, post-insulator’s pollution flashover study is necessary. The pollution flashover voltage (FOV) is directly related to dominating metrological circumstance and how this pollution severity on the surface of insulator. Mostly, anti-pollution flashover coating is deliberated to be one of the most effective means to prevent and reduce pollution flashover. This paper investigates and compares the application of Epoxy Resin and Room Temperature Vulcanize (RTV) Silicone Rubber for enhancing the performance of ceramic outdoor (near coastal thermal plant area) insulator to defeat the effect of environmental pollution. At first, a real-time pollution performance has been carried out in controlled laboratory setup. It shows that the withstand ability of post-insulator has been 25% with Silicone Rubber coating. Subsequently, Artificial Neural Network (ANN) has been used to predict the FOV of post-insulator under wet and dry condition. It shows that critical FOV has enriched with anti-reflection coating rate. After that, post-insulator has been modeled by COMSOL multiphysics software, which is used for estimating field distribution on post-insulator. From the modeling, we found that anti-reflection coated post-insulator surface has low electrical stress than that of others.

scholarly journals Direct Carbon Fuel Cell-Cleaner and Efficient Future Power Generation Technology

2019 ◽  
Vol 6 (1) ◽  
pp. 14-30
Author(s):  
Uzair Ibrahim ◽  
Ahsan Ayub
Keyword(s):  
Carbon Dioxide ◽  
Fuel Cell ◽  
Fossil Fuels ◽  
High Efficiency ◽  
Thermal Power ◽  
Gaseous State ◽  
Thermal Plant ◽  
Direct Carbon Fuel Cell ◽  
Pure Carbon ◽  
Pure Carbon Dioxide

Increasing greenhouse effect due to the burning of fossil fuels has stirred the attention of researchers towards cleaner and efficient technologies. Direct carbon fuel cell (DCFC) is one such emerging technology that could generate electricity from solid carbon like coal and biogas in a more efficient and environmental-friendly way. The mechanism involves electrochemical oxidation of carbon to produce energy and highly pure carbon dioxide. Due to higher purity, the produced carbon dioxide can be captured easily to avoid its release in the environment. The carbon dioxide is produced in a gaseous state while the fuel used is in a solid state. Due to different phases, all of the fuel can be recovered from the cell and can be reused, ensuring complete (100%) fuel utilization with no fuel losses. Moreover, DCFC operates at a temperature lower than conventional fuel cells. The electric efficiency of a DCFC is around 80% which is nearly double the efficiency of coal thermal plant. In addition, DCFC produces pure carbon dioxide as compared to the thermal power plant which reduces the cost of CO2 separation and dumping. In different types of DCFCs, molten carbon fuel cell is considered to be superior due to its low operating temperature and high efficiency. This paper provides a comprehensive review of the direct carbon fuel cell technology and recent advances in this field. The paper is focused on the fundamentals of fuel cell, history, operating principle, its types, applications, future challenges, and development.

An Analysis on Sustainable Supply Chain Management in Thermal Power Plants

2019 ◽  
pp. 258-285
Author(s):  
Suchismita Satapathy
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Artificial Neural Network Ann ◽  
Flow Of Information

Research on sustainable supply chain management (SSCM) has been garnering interest because of its multi-approach in nature. SSCM has emerged as an essential method for organizations to develop and to enhance their competitive strategy through innovative ways in order to satisfy customer basic needs. It facilitates competitive advantage, faster flow of information, material, less response time, speeding up delivery action, better relation and coordination among partners, easy way of information sharing, and increasing order fulfilment rate. Implementing SSCM in organizations like thermal power plants has other benefits such as increasing attention about environmental performance intending the integration of social as well as economic performance. In this chapter, the artificial neural network (ANN) method is used to measure the customer satisfaction after implementing SSCM by thermal power industries.

scholarly journals CFD analysis of flashing flow in two-phase geothermal turbine design

2020 ◽  
Vol 7 (2) ◽  
pp. 238-250 ◽  
Author(s):  
Sham Rane ◽  
Li He
Keyword(s):  
Water Pressure ◽  
Thermal Power ◽  
Feed Water ◽  
Multiphase Model ◽  
Cfd Model ◽  
East African ◽  
Two Phase ◽  
Power Estimate ◽  
Thermal Plant ◽  
Bubble Number

Abstract A thermal power plant for the East African Rift countries is under study for combined energy and freshwater generation using geothermal water, available at above 500 kPa pressure and temperature exceeding 150°C. This article presents the computational fluid dynamics (CFD) model and analysis of the two-phase turbine used for power generation in this total flow thermal plant. Flash boiling was implemented using a two-fluid multiphase model with the thermal phase-change criteria for heat, mass, and momentum transfer in the CFD solver ANSYS CFX. Initially, flashing flow in a converging–diverging nozzle was validated. This stationary nozzle model was then extended to a curved rotating nozzle reaction turbine and the results of flow and power were evaluated against available test data at 400 kPa feed water pressure under subcooled condition of 117°C and a very low backpressure of 6 kPa. Flow through this turbine was predicted within 8% deviation. An overestimate in thermodynamic power by 30–50% was predicted at speeds below 4000 rpm, while at the design speed of 4623 rpm the deviation was less than 5%. Rotor torque and hence power estimate was found to be dependent on the bubble size, bubble number density, and heat transfer parameters prescribed in the CFD model. The vapour dryness fraction at turbine exit was close to an isentropic expansion vapour quality. The isentropic efficiency was 7.5–17% for the analysed speed range.

scholarly journals Influence of Silicone Rubber Coating on the Characteristics of Surface Streamer Discharge

Polymers ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3784
Author(s):  
Xiaobo Meng ◽  
Liming Wang ◽  
Hongwei Mei ◽  
Chuyan Zhang
Keyword(s):  
Silicone Rubber ◽  
Electrical Power ◽  
Electrical Power System ◽  
Streamer Discharge ◽  
Reliable Operation ◽  
Pollution Flashover ◽  
Flashover Voltage ◽  
Streamer Propagation ◽  
Rubber Coating ◽  
Rubber Coatings

A pollution flashover along an insulation surface—a catastrophic accident in electrical power system—threatens the safe and reliable operation of a power grid. Silicone rubber coatings are applied to the surfaces of other insulation materials in order to improve the pollution flashover voltage of the insulation structure. It is generally believed that the hydrophobicity of the silicone rubber coating is key to blocking the physical process of pollution flashover, which prevents the formation of continuously wet pollution areas. However, it is unclear whether silicone rubber coating can suppress the generation of pre-discharges such as corona discharge and streamer discharge. In this research, the influence of silicone rubber coating on the characteristics of surface streamer discharge was researched in-depth. The streamer ‘stability’ propagation fields of the polymer are lower than that of the polymer with silicone rubber coating. The velocities of the streamer propagation along the polymer are higher than those along the polymer with silicone rubber coating. This indicates that the surface properties of the polymer with the silicone rubber coating are less favorable for streamer propagation than those of the polymer.

scholarly journals Clean-development-mechanism-based optimal hydropower capacity design

2018 ◽  
Vol 20 (6) ◽  
pp. 1401-1418 ◽  
Author(s):  
Amir Hatamkhani ◽  
Hosein Alizadeh
Keyword(s):  
Optimal Design ◽  
Clean Development Mechanism ◽  
Thermal Power ◽  
Market Price ◽  
Mixed Integer ◽  
Optimization Approach ◽  
Hydropower Project ◽  
Thermal Plant ◽  
Modelling Framework ◽  
Development Mechanism

Abstract This paper deals with optimal design of a hydropower project's capacity when an analyst may take into account different economic analysis approaches and considerations including market price method, alternative thermal power plant method, externalities and clean development mechanism (CDM). We formulate the problem using mixed-integer nonlinear programming including an economic objective function and governing hydropower constraints. Due to non-convexity of the program, we employ an effective simulation-optimization approach coupling particle swarm optimization (PSO) and Water Evaluation and Planning (WEAP) software which we customize for hydropower simulation using scripting capabilities of the software. The developed modelling framework is applied to the Karun II hydropower project in Iran, where we aim CDM-based optimal design of the project and also compare two economic hydropower analysis methods, i.e. market price and alternative thermal plant. Results show how inclusion of externality and CDM can affect the project's design and measures.

Advances in Data Mining and Applications in Power Plants

2011 ◽  
Vol 347-353 ◽  
pp. 487-493
Author(s):  
Ang Bao ◽  
Wei Guo Pan ◽  
Wen Huan Wang
Keyword(s):  
Data Mining ◽  
Power Plants ◽  
Field Data ◽  
Thermal Power ◽  
Effective Means ◽  
Monitoring And Evaluation ◽  
Research Progress ◽  
Mining Technology ◽  
Equipment Operation ◽  
Real Time Database

Describes the theory and methods of data mining technology, and the latest research progress home and abroad. In the equipment operation of various thermal power plants, more and more field data is stored in the DCS real-time database, and there is always an abundance of knowledge hidden behind the data. Adopting the date mining technology to process and analyze these data can optimize the operation of power plants and provide effective means for monitoring and evaluation of the equipment.

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