scholarly journals Methodical approach to assessing the effectiveness of the management system of thermal power plants in Russia

2019 ◽  
Vol 124 ◽  
pp. 04003
Author(s):  
P. I. Okley ◽  
V. K. Lozenko ◽  
R. I. Inamov
Keyword(s):  
Management System ◽  
Power Plants ◽  
Working Condition ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Thermal Generation ◽  
Holding Companies ◽  
Methodical Approach ◽  
Installed Capacity ◽  
Generalized Indicator

Physical deterioration of thermal power plants based on hydrocarbon fuels leads to technological violations (TV) in their work. Low rates of renewal of thermal generation predetermines the further exploitation of old capacities. In this regard, the activity of the management of energy holdings (EH) is more focused on maintaining the equipment in working condition. The methods, approaches and tools underlying decision-making by the management of energy holding companies are different, respectively, the results of the functioning of the organized management systems (MS) of each company are also different. To assess the effectiveness of the management system it is proposed to use such a generalized indicator as the number of technological violations per year per 1 GW of installed capacity.

Rough Sets Based Simplified Analysis of Energy Loss Indicators in Power Plant

2011 ◽  
Vol 383-390 ◽  
pp. 4130-4133
Author(s):  
Song Feng Tian ◽  
Wei Wang ◽  
Yun Feng Tian ◽  
Shuang Bai Liu
Keyword(s):  
Power Plant ◽  
Energy Loss ◽  
Rough Sets ◽  
Power Plants ◽  
Working Condition ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Optimal Management ◽  
Loss Analysis ◽  
Key Indicators

There are many kinds of energy loss indicators in power plant, and there are some relevance among the various indicators. So extraction of the key indicators plays an important role between in energy loss analysis of power plants and optimal management of thermal power plants. Based on the characteristics of these indicators, the idea of rough sets was applied to the energy loss analysis of thermal power plants, then we proposed a new algorithm -- use fuzzy C means algorithm (FCM) to discrete cluster the energy loss indicators of thermal power plant, and then analysis simplified the results with algorithm Johnson. Real experiments (Chaozhou 1,2 and Ningde 3,4 assembling units which of the same type in the SIS system under the THA working condition)’ results had proved high accuracy and valuable of the algorithm.

Proposal and Preliminary Study on Installed Capacity Margin

2011 ◽  
Vol 354-355 ◽  
pp. 872-876
Author(s):  
Xun Cheng Huang ◽  
Xu Zheng Chai
Keyword(s):  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Power Network ◽  
Specific Load ◽  
Mathematic Modeling ◽  
Network Load ◽  
Generation Capacity ◽  
Preliminary Study ◽  
Installed Capacity

The capacity of thermal power plants takes up 75 per cent of whole power generation capacity in China, and so a reserve of generation capacity margin that may adapt to the variations in power network load is of paramount importance. This paper proposes a concept: installed capacity margin, and basic mathematic modeling and example is analyzed. It would be supply theoretical help for real little thermal power plants shutdown schedules based on building detailed mathematical models after investigation of region-specific load structure characteristics and installed generator compositions.

Research on the Low-Carbon Development Evaluation System for the Thermal Power Plants

2013 ◽  
Vol 295-298 ◽  
pp. 730-733
Author(s):  
Dong Xiao Niu ◽  
Tong Liu ◽  
Qiong Wang ◽  
Peng Wang
Keyword(s):  
Evaluation System ◽  
Power Plants ◽  
Thermal Power ◽  
Practical Significance ◽  
Thermal Power Plants ◽  
Low Carbon ◽  
Low Carbon Development ◽  
Development Evaluation ◽  
Development Assessment ◽  
Installed Capacity

The environment problem becoming increasingly prominent in nowadays, people pay more and more attention to low-carbon. The low-carbon status of power plants has a significant impact on the low-carbon development of the whole country. And the proportion of thermal power installed capacity of total installed capacity is more than 70%. So there’s necessity and practical significance to study low-carbon development evaluation system for thermal power plants. This paper discusses the principles, indexes selection and evaluation methods for thermal power plants’ low-carbon development assessment. And its case study done shows the effectiveness of the methods.

Thermodynamic and Economic Assessment of Solar Thermal Power Plants for Cameroon

2020 ◽  
pp. 1-46
Author(s):  
Alain Christian Biboum ◽  
Ahmet Yilanci
Keyword(s):  
Power Plants ◽  
Thermal Power ◽  
Economic Assessment ◽  
Sub Saharan Africa ◽  
Solar Thermal ◽  
Thermal Power Plants ◽  
Solar Thermal Power ◽  
Energy And Exergy ◽  
Sub Saharan ◽  
Installed Capacity

Abstract In this study, it is aimed to conduct the thermodynamic and economic analysis of solar thermal power plants using parabolic trough collectors (PTC), linear Fresnel reflectors (LFR) and solar tower (ST) technologies for Cameroon. The analysis is performed for each power plant with the installed capacity of 5 MWe. Initial investment costs for the solar thermal power plants using PTC, LFR and ST technologies are estimated to be 33.49 Million USD, 18.77 Million USD and 36.31 Million USD while levelized costs of electricity (LCOE) are found to be varying from 145.6 USD/MWh to 186.8 USD/MWh, 112.2 USD/MWh to 154.2 USD/MWh and 179.2 USD/MWh to 220.4 USD/MWh, respectively. For the solar thermal power plants using PTC, LFR and ST technologies, payback periods are obtained to be 6.57 years, 6.84 years and 6.02 years, and also, internal rates on the return are calculated to be 21.03%, 20.42% and 22.47%, respectively. Overall energy and exergy efficiency values are found to be 13.39% and 14.37%; 11.90% and 13.74%; 12.13% and 13.64% for the solar thermal power plants using PTC, LFR and ST technologies, respectively. In conclusion, it is seen that LFR technology presents the best performance with the combination of thermodynamic and economic metrics for the deployment of solar thermal power plants in the countries in sub-Saharan Africa like Cameroon.

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