The Effects of Flue Gas SO3 on the Operation of Coal-Fired Units and Countermeasures
Issue:
Volume 7, Issue 3, June 2018
Pages:
27-32
Received:
24 April 2018
Accepted:
14 May 2018
Published:
1 June 2018
Abstract: There exists a certain amount of SO3 in flue gas discharged from coal-fired power plants. The implementation and “ultra-low emission” retrofitting of SCR in China greatly increased the concentration of SO3 in flue gas, which will lead to fouling, erosion and plugging of the SCR reactor and the air preheater downstream. With the lowered dew point of the flue gas, the ammonia sliped from the SCR reactor together with the SO3 in flue gas will leads to dust accumulation in the Electric Precipitator or in the Bag-house Filter, too. In this study, the main effects and its mechanism of SO3 on the safety, stability and efficiency of units were analyzed, and measures to control SO3 were proposed.
Abstract: There exists a certain amount of SO3 in flue gas discharged from coal-fired power plants. The implementation and “ultra-low emission” retrofitting of SCR in China greatly increased the concentration of SO3 in flue gas, which will lead to fouling, erosion and plugging of the SCR reactor and the air preheater downstream. With the lowered dew point of...
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Energy Efficiency Contrivances Under Aspects of Climate Change Mitigation in Thermal Power Plants
Gullipalli Rudra Narsimha Rao,
Rahul Raju Dusa
Issue:
Volume 7, Issue 3, June 2018
Pages:
33-39
Received:
10 July 2018
Accepted:
27 July 2018
Published:
22 August 2018
Abstract: The COP-21 meeting in Paris achieved a key milestone of climate change negotiations, leading to inception of essential mitigation actions pledged by all the developed and developing countries. It is advocated to stabilize the global temperature at 2°C above the pre-industrial levels by 2100. All countries are compelled to take much stronger action. India ranks 3rd position in carbon dioxide emissions on global scale. India has committed a reduction in the emissions intensity of GDP by 33% to 35% from 2005 levels by 2030. India’s commercial energy use in industrial sector is close to 50% and contributes to highest emissions across various sectors. To enhance energy efficiency in energy-intensive large industries, a novel market based mechanism action programme called Perform, Achieve and Trade (PAT) has been developed. PAT mechanism is time bound with periodic cycle of three years. PAT cycle I has achieved an annual energy savings of 8.67 mtoe from 478 energy intensive industries with a total annual energy consumption of 165 mtoe. Thermal power plants (144 numbers) account to large share of annual energy consumption i.e. 63.3%. The paper highlights actions taken by three different power plants (coal, natural gas, and fuel oil) to achieve their individual set target under PAT mechanism. Various energy conservation measures implement by these power plants are deliberated. The learning’s from energy conservation measures implemented in these power plants can be easily replicated (or) reviewed for similar thermal power plants internationally. These measures may also be included under mitigation actions of other nations to realize emissions reduction.
Abstract: The COP-21 meeting in Paris achieved a key milestone of climate change negotiations, leading to inception of essential mitigation actions pledged by all the developed and developing countries. It is advocated to stabilize the global temperature at 2°C above the pre-industrial levels by 2100. All countries are compelled to take much stronger action....
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Forecast of Total Energy Consumption in Shandong Province Based on Grey BP Model
Mengyao Mei,
Lili Ma,
Zhihong Liu,
Zhongxian Zhu,
Jianan Li,
Xiaohan Fang
Issue:
Volume 7, Issue 3, June 2018
Pages:
40-46
Received:
7 November 2018
Published:
8 November 2018
Abstract: With the continuous increase of China's total energy consumption, we can find the rule and grasp its development trend from the change trend of energy consumption. In order to provide scientific basis for rational use of energy. In this paper,firstly, based on the data of total energy consumption of shandong province from 2007 to 2016, grey prediction model and BP neural network were used to predict total energy consumption of shandong province from 2007 to 2016. MATLAB was used to calculate the predicted value of each year and the average relative error of the two models was 7.25% and 3.70% respectively. Secondly, on the basis of the grey prediction model, BP neural network was used to correct the predicted value of total energy in shandong province. Then, the grey BP modified model was used to obtain the total energy consumption of shandong province from 2007 to 2016. MATLAB was used to calculate the predicted values of each year and the average relative error of the modified model was 2.04%. Finally, the total energy consumption of shandong province in 2018-2035 is predicted. The results show that the average relative error is small and the prediction effect is obvious. This shows that the grey BP model is effective in predicting total energy consumption.
Abstract: With the continuous increase of China's total energy consumption, we can find the rule and grasp its development trend from the change trend of energy consumption. In order to provide scientific basis for rational use of energy. In this paper,firstly, based on the data of total energy consumption of shandong province from 2007 to 2016, grey predict...
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