Spatial distribution and morphometric and mineralogical features of air dust pollution in the impact zone of Trypilska Thermal Power Station

Geo&Bio ◽  
2019 ◽  
Vol 2019 (17) ◽  
pp. 3-16
Author(s):  
Viktor Dolin ◽  
◽  
Olesia Shcherbak ◽  
A. Samchuk ◽  
G. Pampukha ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Thermal Power Station ◽  
Thermal Power ◽  
Impact Zone ◽  
Power Station ◽  
Dust Pollution ◽  
The Impact

A Case Study of ESP Electrical Characteristics from a Thermal Power Station

2009 ◽  
Author(s):  
Gabriel Nicolae Popa ◽  
Cristian Abrudean ◽  
Sorin Ioan Deaconu ◽  
Iosif Popa ◽  
Victor Vaida
Keyword(s):  
Thermal Power Station ◽  
Thermal Power ◽  
Electrical Characteristics ◽  
Power Station

Effect of coal properties on the specific coal consumption in a typical thermal power station in India

1994 ◽  
Vol 35 (7) ◽  
pp. 597-603
Author(s):  
Shail ◽  
M.S. Sodha ◽  
Ram Chandra ◽  
B. Pitchumani ◽  
J. Sharma
Keyword(s):  
Thermal Power Station ◽  
Thermal Power ◽  
Power Station ◽  
Coal Consumption ◽  
Coal Properties

Evaluation of energy savings by using high efficiency motors in a thermal power station

2017 ◽  
Vol 14 (10) ◽  
pp. 839-844 ◽  
Author(s):  
Mohamed Kaddari ◽  
Mahmoud El Mouden ◽  
Abdelowahed Hajjaji
Keyword(s):  
Thermal Power Station ◽  
Energy Savings ◽  
High Efficiency ◽  
Thermal Power ◽  
Power Station

scholarly journals Thermal station modelling and optimal control based on deep learning

2021 ◽  
Vol 25 (4 Part B) ◽  
pp. 2965-2973
Author(s):  
Min Cao
Keyword(s):  
Deep Learning ◽  
Thermal Power Station ◽  
Control Method ◽  
Learning Algorithm ◽  
Thermal Power ◽  
Heating System ◽  
Utilization Rate ◽  
Power Station ◽  
Deep Learning Algorithm ◽  
Deterministic Strategy

To solve the mismatch between heating quantity and demand of thermal stations, an optimized control method based on depth deterministic strategy gradient was proposed in this paper. In this paper, long short-time memory deep learning algorithm is used to model the thermal power station, and then the depth deterministic strategy gradient control algorithm is used to solve the water supply flow sequence of the primary side of the thermal power station in combination with the operation mechanism of the central heating system. In this paper, a large number of historical working condition data of a thermal station are used to carry out simulation experiment, and the results show that the method is effective, which can realize the on-demand heating of the thermal station a certain extent and improve the utilization rate of heat.

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