furnace fuel
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2021 ◽  
Vol 2131 (4) ◽  
pp. 042077
Author(s):  
D Rozhitskiy ◽  
Yu Bardykin ◽  
Yu Pavlov ◽  
A Repin ◽  
V Chernikov

Abstract The article considers the solution of the problem of constructing forecast values for a long period of changes in the value of the specific consumption of boiler and furnace fuel by boilers for a geographically distributed company-Russian Railways, taking into account the use of various types for the main types of fuel used in the generation of thermal energy: natural gas, heating oil, coal and brown coal. A mathematical model based on time series using the Bollinger method is proposed, which includes elements of extrapolation and modeling. An example of calculating the change in the values of specific consumption in the future until 2035 in the whole railway network is given. A simulation of the change in this value is performed for the variant fractions of substitution of one type of fuel with another. The possibility of determining long-term forecast indicators using a time series model is shown.


2020 ◽  
Vol 3 (1) ◽  
pp. 30-33
Author(s):  
Sudarmanto Jayanegara ◽  
Zuryati Djafar ◽  
Zulkifli Djafar ◽  
Nasaruddin Azis ◽  
Wahyu Haryadi Piarah

This research was conducted to determine the character of the TEG module as a source of electrical energy in utilizing heat in the chimney wall of an egg rack drying machine that uses rice husk as engine furnace fuel. The test is carried out by utilizing heat on 2 pieces of chimney (upper chimney and lower chimney) separated by a Heat Exchanger (HE) with a furnace blower speed of 2600 rpm and environmental blower speed of 2800 rpm with the amount of thermoelectric used as many as 44 units. The results show that the TEG module in the upper chimney obtained temperature difference (∆T), voltage difference (∆V) and power (P) respectively ∆T 38.75 ° C; ∆V 3.68 Volts; P 0.796 Watt and for the lower chimney respectively ∆T 73.25 ° C; ∆V 12.26 Volts; P 2.446 Watt.


Author(s):  
Pricila Araújo Santana ◽  
Daniela de Carvalho Lopes ◽  
Antonio José Steidle Neto

The main objective of this study was to simulate the economic feasibility of low-temperature grain drying systems considering Brazilian conditions and using three drying capacities, seven grain types and two furnace fuels. For this, 42 scenarios were simulated and compared among themselves by using an economic analysis based on the cash flow model with project lifetime of 20 years. The indices net present value, payback period, benefit-cost ratio and internal rate of return were applied during the analyses. Simulations showed that drying of coffee and beans in large systems presented higher economic feasibility, regardless of the furnace fuel used. All simulated scenarios were cost-effective provided that at least two drying cycles are performed per year. Labor costs, social taxes, grain type and drying capacity most affected the profitability of this kind of investment, while the furnace fuel less influenced the evaluated economic indices.


2020 ◽  
pp. 573-600
Author(s):  
Ian Cameron ◽  
Mitren Sukhram ◽  
Kyle Lefebvre ◽  
William Davenport

2018 ◽  
Vol 25 (2) ◽  
pp. 127
Author(s):  
A. R. Gaisina ◽  
K. E. Stankevich ◽  
A. V. Gantsev ◽  
L. F. Baiguskarova ◽  
A. S. Vakhitova
Keyword(s):  
Fuel Oil ◽  

2018 ◽  
Vol 11 (2) ◽  
pp. 60-65
Author(s):  
Светлана Сазонова ◽  
Svetlana Sazonova ◽  
Вячеслав Манохин ◽  
Vyacheslav Manohin ◽  
Сергей Николенко ◽  
...  

2012 ◽  
Vol 260-261 ◽  
pp. 1215-1218
Author(s):  
Simona Jursová ◽  
Pavlína Pustějovská ◽  
Jaroslav Frantík ◽  
Veronika Sassmanová

The paper deals with possibilities of decrease in CO2 emissions in Moravian Silesian region, Czech Republic, typical of metallurgy industry. It analyses various kinds of technical and technological approaches of metallurgical industry to this problem. It discusses application of hydro – carbon fuels in iron -making process which seems to be technologically and economically beneficial alternative for blast furnace fuel. The paper devotes to hydrocarbon fuels application relating with the decrease in CO2 emissions


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