scholarly journals Data on Emission Factors of Gaseous Emissions from Combustion of Woody Biomasses as Potential Fuels for Firing Thermal Power Plants in Nigeria

2021 ◽  
Vol 1 (2) ◽  
pp. 78-85
Author(s):  
Francis Boluwaji Elehinafe ◽  
Oyetunji Babatunde Okedere ◽  
Queen Edidiong Ebong-Bassey ◽  
Jacob Ademola Sonibare

This work generated data on the emission factors of air emissions from combustion of woody biomasses collected from southwest, Nigeria. This was with a view to finding their potentials as sustainable and environmentally friendly fuels for firing thermal power plants compared to coals. The data on heating values and elemental contents (carbon, sulphur and nitrogen) responsible for gaseous emissions in the 100 woody biomasses were collected from the previous results of this work to determine the gaseous emission factors on the expected condition of complete combustion. The current results showed that the CO2 emission factors ranged from 0.0147 kg/(MJ/kg) for Ficus mucuso to 0.1499 kg/(MJ/kg) for Spondias mombin, SO2 emission factors ranged from 0.0000000 kg/(MJ/kg) for Pterygota macrocarpa, Irvingia grandifolia, and fifteen others, to 0.0011341kg/(MJ/kg) for Khaya ivorensis, while NO2 emission factors ranged from 0.0000000 kg/(MJ/kg) for Citrus medica to 0.0035824 kg/(MJ/kg) for Ficus carica. Considering the minimal emissions from biomasses compared to coal species, serious political will is needed on the part of the Nigerian government to propagate these biomasses for fuels in firing the thermal plants in the country.

Energy ◽  
2010 ◽  
Vol 35 (7) ◽  
pp. 2992-2998 ◽  
Author(s):  
S. Nazari ◽  
O. Shahhoseini ◽  
A. Sohrabi-Kashani ◽  
S. Davari ◽  
R. Paydar ◽  
...  

Author(s):  
I. A Volchyn ◽  
L. S Haponych ◽  
W. Ja Przybylski

Purpose. Analysing the current state of sulfur dioxide and dust emissions from coal combustion at thermal power plants of Ukraine, predicting them with regard to changes which have occurred in the Ukrainian power industry over the last years, and estimating these emissions to compare with the limit gross emission values of pollutants according to the National Emissions Reduction Plan. Methodology. The method for calculating the pollutant emissions is elaborated, based on using the quantity of produced or supplied electricity for each year of TPP operation. Findings. It has been established that the gross emissions of SO2 at Ukrainian TPPs over the last years have amounted to about 620 thousand tons, and those of dust have made 140 thousand tons. In 2019, the average emission factors for all types of coal were 1180 g/GJ (for sulfur dioxide) and 288 g/GJ (for dust). The average values of specific emissions of SO2 and dust were 14.4 and 3.4g/kWh of supplied electricity, respectively, as compared with 1.2 and 0.2 g/kWh, which are characteristic of the current level at coal TPPs of the EU countries. Originality. Analytic dependency has been established between SO2 emission factors in flue gas at coal TPPs and low heat value and sulfur and ash content for Ukrainian energy coal. Practical value. The developed method allows one to perform calculations of maximum permissible and predicted gross emissions of SO2 and dust at TPPs of Ukraine.


2018 ◽  
Vol 10 (10) ◽  
pp. 3448 ◽  
Author(s):  
Changsang Cho ◽  
Seongmin Kang ◽  
Minwook Kim ◽  
Yoonjung Hong ◽  
Eui-chan Jeon

Thermal power plants are a large source of greenhouse gas emissions among energy industry facilities. Emission factors for methane and nitrous oxide depend on combustion technologies and operating conditions and vary significantly with individual thermal power plants. Due to this variability, use of average emission factors for these gases will introduce relatively large uncertainties. This study determined the CH4 emission factors of thermal power plants currently in operation in Korea by conducting field investigations according to fuel type and type of combustion technique. Through use of the Monte Carlo simulation, the uncertainty range for the CH4 emission factor was determined. The estimation showed, at the 95% confidence level, that the uncertainty range for CH4 emission factor from a tangential firing boiler using bituminous coal was −46.6% to +145.2%. The range for the opposed wall-firing boiler was −25.3% to +70.9%. The range for the tangential firing boiler using fuel oil was −39.0% to 93.5%, that from the opposed wall-firing boiler was −47.7% to +201.1%, and that from the internal combustion engine boiler was −38.7% to +106.1%. Finally, the uncertainty range for the CH4 emission factor from the combined cycle boiler using LNG was −90% to +326%.


Author(s):  
Jose´ I. Huertas ◽  
Mauricio Y. Carmona ◽  
Diego Moreno

Currently there is a need for a model to estimate mass emissions of atmospheric pollutants at the exit of the stacks of thermal power plants that operate under a variable regime of electric power generation based on the variables that typically are monitored during the operation of the plants. The recommended alternative to calculate the mass emissions of pollutants is based on the experimental measurements of pollutant concentration, velocity and temperature at the exit of the stack. This alternative is expensive and cumbersome to implement. Alternatively the US EPA emission factors can be used. However, the emission factors require modifications to account for the type of fuel, the technology used to control emissions, maintenance of the equipment, and the local environmental conditions. As a solution, this paper presents a model to estimate emissions of atmospheric pollutants in thermal power plants based on the variables that are continuously monitored during the operation of most of the thermal power plants in Mexico such as fuel chemical composition, fuel consumption, air to fuel ratio of the combustion process, and mean boiler temperature. The proposed model was calibrated by continuously measuring all the variables included in the three models during one week of operation of a 2.2 GW thermal power plant located in the continental area of the Gulf of Mexico. This plant has six units of generation that operate with fuel oil and one with natural gas. Results obtained from the three methodologies described before were compared. It was concluded that the NOx, SOx and CO results of the proposed model follow closely the results obtained using the measurements of concentration, velocity and temperature at the exit of the stack method. It was also found that the results of the emission factors methodology require to be adjusted to include the particular operating conditions of each unit of electricity generation.


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