scholarly journals Modifications of Sub-components in Thermal Power Plants for Exergetic Efficiency

2021 ◽  
Vol 39 (2) ◽  
pp. 573-580
Author(s):  
Mallikharjuna Rao Tarla ◽  
Srinivasa Rao Surapaneni ◽  
Konnanilkunnathil Thomas Varughese
Keyword(s):  
Power Plants ◽  
Exergy Analysis ◽  
Thermal Power ◽  
Energy Systems ◽  
Heat Pipes ◽  
Analysis Tool ◽  
Exergetic Efficiency ◽  
Steam Condensation ◽  
Resource Sustainability ◽  
Super Heater

Exergy analysis gaining importance as an engineering analysis tool for energy systems. This paper explores the possibility of decreasing exergy reduction in thermal power plant components like boiler, turbine and condenser and thus increasing exergetic efficiency of Power plants by redesigning the existing design of some important components like platen super heater, final super heater, re heater, condenser, so that resource sustainability improves. The method suggested for exergy destruction in condenser is by using Heat pipes and application of heat pipes for steam condensation has been validated with experimental results.

Predictive Modeling of Integrated Boiler Unit for a Coal Fired Thermal Power Plant

2017 ◽  
Vol 18 (3) ◽  
Author(s):  
Sreepradha Chandrasekharan ◽  
Rames Chandra Panda ◽  
Bhuvaneswari Natrajan Swaminathan
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Power Plants ◽  
Thermal Power ◽  
Electrical Energy ◽  
Analysis Tool ◽  
Regression Equations ◽  
Boiler Unit ◽  
Super Heater ◽  
Statistical Analysis Tool

AbstractMajority of the power plants in the world is based on coal. Pulverized coal is used to generate pressurized steam to drive turbines where-by chemical energy is converted to electrical energy. Modeling of the steam generator in thermal power plant plays a major role as it comprises of interactive units like economizer, drum and super-heater. Experiments across different units of the power plant are carried out to build correlations between input and output. Main objective of the work is to compare performances arising out by considering the system-model as three individual units or as one integrated boiler unit. In order to do this, multiple regression equations are derived based on quadratic models. The dependability of the pressure and temperature on the other variables are analyzed using the statistical analysis tool and validation of the derived model with the plant data is performed. Significance of regressions were evaluated based on ANOVA which in combination with standardized residuals distribution and their means for confidence levels of 95 and 99 %, helped in validating the model. Operating parameters are optimized using RSM supported by design of experiments with Box-Behnken design. These models will be helpful in understanding and designing the safe operation and control of thermal power plants.

Performance degradation diagnosis of thermal power plants: A method based on advanced exergy analysis

2016 ◽  
Vol 130 ◽  
pp. 219-229 ◽  
Author(s):  
Peng Fu ◽  
Ningling Wang ◽  
Ligang Wang ◽  
Tatiana Morosuk ◽  
Yongping Yang ◽  
...  
Keyword(s):  
Power Plants ◽  
Exergy Analysis ◽  
Thermal Power ◽  
Performance Degradation ◽  
Thermal Power Plants ◽  
Degradation Diagnosis

Teaching Power Cycles by Comparative First- and Second-Law Analysis of Their Evolution

1997 ◽  
Vol 25 (1) ◽  
pp. 13-31 ◽  
Author(s):  
William R. Dunbar ◽  
Noam Lior
Keyword(s):  
Power Plants ◽  
Exergy Analysis ◽  
Energy Analysis ◽  
Energy Systems ◽  
Thermal Engineering ◽  
Second Law ◽  
Intellectual Curiosity ◽  
Educational Approach ◽  
Power Cycles ◽  
Second Law Analysis

The teaching of power cycles in courses of thermodynamics or thermal engineering was traditionally based on first-law analysis. Second-law analysis was typically taught later, and not integrated with it. This approach leaves the student ignorant of the effect of operating parameters and cycle modifications on the accompanying exergy (availability) magnitudes and component irreversibilities, which are necessary for evaluating the potential for further system improvements. It also leaves many of the students with an ambiguous understanding of the exergy concept and its use. Consonant with the gradual changes in this educational approach, which increasingly attempt to integrate first- and second-law analysis, this paper recommends a strategy which integrates exergy analysis into the introduction and teaching of energy systems, demonstrated and made didactically appealing by an examination of the historical evolution of power plants, emphasizing the objectives for improvements, accomplishments, constraints, and consequently the remaining opportunities. Important conclusions from exergy analysis, not obtainable from the conventional energy analysis, were emphasized. It was found that this approach evoked the intellectual curiosity of students and increased their interest in the course.

scholarly journals Optimal Sizing of Battery-Integrated Hybrid Renewable Energy Sources with Ramp Rate Limitations on a Grid Using ALA-QPSO

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5368
Author(s):  
Ramakrishna S. S. Nuvvula ◽  
Devaraj Elangovan ◽  
Kishore Srinivasa Teegala ◽  
Rajvikram Madurai Elavarasan ◽  
Md. Rabiul Islam ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Energy Systems ◽  
Energy Sources ◽  
Thermal Power Plants ◽  
Wind Energy Systems ◽  
Hybrid Renewable Energy ◽  
Optimal Set

Higher penetration of variable renewable energy sources into the grid brings down the plant load factor of thermal power plants. However, during sudden changes in load, the thermal power plants support the grid, though at higher ramping rates and with inefficient operation. Hence, further renewable additions must be backed by battery energy storage systems to limit the ramping rate of a thermal power plant and to avoid deploying diesel generators. In this paper, battery-integrated renewable energy systems that include floating solar, bifacial rooftop, and wind energy systems are evaluated for a designated smart city in India to reduce ramping support by a thermal power plant. Two variants of adaptive-local-attractor-based quantum-behaved particle swarm optimization (ALA-QPSO) are applied for optimal sizing of battery-integrated and hybrid renewable energy sources to minimize the levelized cost of energy (LCoE), battery life cycle loss (LCL), and loss of power supply probability (LPSP). The obtained results are then compared with four variants of differential evolution. The results show that out of 427 MW of the energy potential, an optimal set of hybrid renewable energy sources containing 274 MW of rooftop PV, 99 MW of floating PV, and 60 MW of wind energy systems supported by 131 MWh of batteries results in an LPSP of 0.005%, an LCoE of 0.077 USD/kW, and an LCL of 0.0087. A sensitivity analysis of the results obtained through ALA-QPSO is performed to assess the impact of damage to batteries and unplanned load appreciation, and it is found that the optimal set results in more energy sustainability.

scholarly journals Transient Simulation of Geothermal Combined Heat and Power Generation for a Resilient Energetic and Economic Evaluation

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 894 ◽  
Author(s):  
Tim Eller ◽  
Florian Heberle ◽  
Dieter Brüggemann
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Thermal Power ◽  
Combined Heat And Power ◽  
Heat Extraction ◽  
Exergetic Efficiency ◽  
District Heating System ◽  
Transient Model ◽  
Additional Heat ◽  
Wide Range

Geothermal power plants based on the organic Rankine cycle (ORC) are used to convert the thermal power of brine into electricity. The efficiency and profitability of these power plants can be increased by an additional heat supply. The purpose of this study is to evaluate different combined heat and power (CHP) concepts for geothermal applications by thermodynamic and economic considerations. Therefore, a dynamic simulation model of a double-stage ORC is developed to perform annual return simulations. The transient ORC model is validated in a wide range by operational data of an existing power plant in the German Molasse Basin. A district heating system is considered and the corresponding heat load profiles are derived from a real geothermal driven heating network. For CHP, parallel and combined configurations are considered. The validation of the transient model is satisfying with a correlation coefficient of 0.99 between the simulation and real power plant data. The results show that additional heat extraction leads to a higher exergetic efficiency and a higher profitability. The exergetic efficiency and the profitability are increased by up to 7.9% and 16.1%, respectively. The combined concept shows a slightly better performance than the parallel configuration. The efficiency can be increased by up to 1.3%. In economic terms, for CHP the annual return can be increased by at least 2,500,000 €. In principle, the dynamic model shows reliable results for high power gradients. This enables an investigation of geothermal ORC models for the reserve market in future works.

Energy and Exergy Analysis for Three Type 500MW Steam Power Plants

2011 ◽  
Vol 148-149 ◽  
pp. 1131-1136
Author(s):  
Zhi Li ◽  
Zhong Min Li ◽  
Zhan Liang Yan
Keyword(s):  
Power Plants ◽  
Exergy Analysis ◽  
Thermal Power ◽  
Climatic Conditions ◽  
Low Grade ◽  
Thermal Power Plants ◽  
Energy And Exergy ◽  
Pressure Limitation ◽  
Energy And Exergy Analysis ◽  
Steam Parameters

The paper shows the comparison of energy and exergy analysis of thermal power plants based on advanced steam parameters in China climatic conditions. The research contains coal-based thermal power plants using sub-critical, super-critical, and ultra-supercritical steam conditions. The design configurations of 500 MW unit size were considered. The research contains the effect of condenser pressure on plant and exergy efficiency. The effect of high grade coal on performance parameters as compared to typical China low grade coal was also studied. The major exergy loss took place in coal combustion followed by the steam generator. Due to condenser pressure limitation, the maximum possible overall energy efficiency was found to be about 44.4% with the ultra-supercritical power plant. Installing coal-based thermal power plants based on advanced steam parameters in China will be a prospective option aiding energy self-sufficiency.

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