scholarly journals Waste to Energy: An Assessment of Application of the Selective Fuel for Applications in Industries using a Mixture of "A" Grade Coal and Municipal Solid Waste

2017 ◽  
Vol 12 (1) ◽  
pp. 129-142 ◽  
Author(s):  
Nripendra Bajracharya ◽  
Bhakta Bahadur Ale ◽  
Ramesh Man Singh ◽  
Tri Ratna Bajracharya
Keyword(s):  
Flue Gas ◽  
Calorific Value ◽  
Industrial Sector ◽  
Proximate Analysis ◽  
Waste To Energy ◽  
Small Scale ◽  
Index Test ◽  
Gas Emission ◽  
So2 Emission ◽  
Refuse Derived Fuel

This paper is about how the garbage that is considered as nuisance can actually be a source of energy that is vital for us. The fuel prepared by blending combustible fraction of waste is called refuse derived fuel (RDF). When the waste is mixed with coal known as selective fuel, they can be the replacement for coal in industries. The vertical shaft brick kiln (VSBK) has been taken as a representative of industrial sector. This is the theme of this research. The coal sample used is from Assam, India which is the A grade coal normally used in VSBKs of Nepal. The selective fuel was undergone proximate analysis, smoke index test, flue gas emission test and was also tested for its calorific value. The moisture content and ash content is found to be 8.69% and 11.21% respectively which is the acceptable range for VSBK. The fixed carbon content of the fuel is 28.03%. The sulphur content of the coal is 6.4% which can be captured using Ca(OH2. Addition of lime and presence of excess air help to control smoke during combustion. Flue gas emission test shows CO emission of 56.66 ppm, CO2 emission of 2% and no SO2 emission. The economic analysis shows that installation of small scale briquetting plant is feasible. Besides this, mathematical calculation has also been done to deduce some results.Journal of the Institute of Engineering, 2016, 12(1): 129-142

Integrated Process for Textile Cotton Waste (TCW) Valorization: Waste-to-Energy and Wastewater Decontamination

2016 ◽  
Author(s):  
A. Ribeiro ◽  
C. Vilarinho ◽  
J. Araújo ◽  
J. Carvalho
Keyword(s):  
Raw Materials ◽  
Removal Rate ◽  
Low Cost ◽  
Calorific Value ◽  
Waste To Energy ◽  
Synthetic Wastewater ◽  
Small Scale ◽  
World Population ◽  
Cotton Waste ◽  
Textile Industries

The increasing of world population, industrialization and global consuming, existing market products existed in the along with diversification of raw materials, are responsible for an exponential increase of wastes. This scenario represents loss of resources and ultimately causes air, soils and water pollution. Therefore, proper waste management is currently one of the major challenges faced by modern societies. Textile industries represents, in Portugal, almost 10% of total productive transforming sector and 19% of total employments in the sector composed by almost 7.000 companies. One of the main environmental problems of textile industries is the production of significant quantities of wastes from its different processing steps. According to the Portuguese Institute of Statistics (INE) these industries produce almost 500.000 tons of wastes each year, with the textile cotton waste (TCW) being the most expressive. It was estimated that 4.000 tons of TCW are produced each year in Portugal. In this work an integrated TCW valorisation procedure was evaluated, firstly by its thermal and energetic valorisation with slow pyrolysis followed by the utilization of biochar by-product, in lead and chromium synthetic wastewater decontamination. Pyrolysis experiments were conducted in a small scale rotating pyrolysis reactor with 0.1 m3 of total capacity. Results of pyrolysis experiments showed the formation of 0,241 m3 of biogas for each kilogram of TCW. Results also demonstrated that the biogas is mostly composed by hydrogen (22%), methane (14 %), carbon monoxide (20%) and carbon dioxide (12%), which represents a total high calorific value of 12.3 MJ/Nm3. Regarding biochar, results of elemental analysis demonstrated a high percentage of carbon driving its use as low cost adsorbent. Adsorption experiments were conducted with lead and chromium synthetic wastewaters (25, 50 and 100 mg L−1) in batch vessels with controlled pH. It was evaluated the behaviour of adsorption capacity and removal rate of each metal during 120 minutes of contact time using 5, 10 and 50 g L−1 of adsorbent dosage. Results indicated high affinity of adsorbent with each tested metal with 78% of removal rate in chromium and 95% in lead experiments. This suggests that biochar from TCW pyrolysis may be appropriated to wastewaters treatment, with high contents of heavy metals and it can be an effective alternative to activated carbon.

A Method for Combustion Calculation Based on Proximate Analysis and Net Calorific Value of Coal

2015 ◽  
Vol 1092-1093 ◽  
pp. 479-482
Author(s):  
Bao Kui Chen ◽  
Feng Zhong Sun
Keyword(s):  
Heat Transfer ◽  
Oxygen Consumption ◽  
Relative Error ◽  
Flue Gas ◽  
Calorific Value ◽  
Proximate Analysis ◽  
Combustible Material ◽  
Testing And Debugging ◽  
Boiler Operation ◽  
Gas Volume

For the combustion calculation of coal fired boiler, a new concept of oxygen consumption for combustible material was proposed which was different from the traditional oxygen consumption for elements. A mathematical model was developed for the combustion calculation. The calculation formulas of theoretical air and flue gas volume were established through reasonable hypothesis and simplification, which were based on proximate analysis and net calorific value of coal. In contrast to the results of the elemental analysis for the 15 different kinds of coals which are typical in China, the average relative error of formulas is lower than 2%, the biggest relative error is 7.11%, which can be used for the control over boiler operation, testing and debugging, and calculation of heat transfer.

scholarly journals Cashew Nut Shell Waste: Availability in Small-Scale Cashew Processing Industries and Its Fuel Properties for Gasification

2011 ◽  
Vol 2011 ◽  
pp. 1-4 ◽  
Author(s):  
Atul Mohod ◽  
Sudhir Jain ◽  
Ashok Powar
Keyword(s):  
Thermogravimetric Analysis ◽  
Average Energy ◽  
Calorific Value ◽  
Proximate Analysis ◽  
Small Scale ◽  
Cashew Nut ◽  
Steam Cooking ◽  
Shell Waste ◽  
Average Energy Consumption ◽  
Cashew Nut Shell

The energy and mass flow of the steam cooking operation of three readily defined small-scale cashew processing industries was studied to estimate the availability of cashew nut shell. The proximate analysis of cashew shell waste was carried out using ASTMD 73–75 method. The calorific value of the cashew shell was carried out using bomb calorimeter (ASTME 711). The thermogravimetric analysis of the cashew shell was carried out using TG-FTIR with 10∘C/minute heating rate. The study revealed that, the small-scale cashew processing industries followed steam-cooking process with average energy consumption accounted to be 2969.7 MJ per 1000 kg of raw cashew seed. The cashew shell waste generated in small-scale cashew processing industries was found to be 67.5% of total weight of cashew seed, which can be utilized as fuel for thermal energy supply. The average higher calorific value of the cashew nut shell was found to be 4890 kcal/kg. The thermogravimetric analysis revealed that 85% weight of cashew nut shell has been degraded at 500∘C and in 13 minutes. The availability and fuel analysis of the cashew shell as a fuel revealed its suitability as a supplementary fuel for thermal application through pyrolysis in the industry.

Evaluasi Prediksi Higher Heating Value (HHV) Biomassa Berdasarkan Analisis Proksimat

2020 ◽  
Vol 4 (1) ◽  
pp. 1-7
Author(s):  
Made Dirgantara ◽  
Karelius Karelius ◽  
Marselin Devi Ariyanti, Sry Ayu K. Tamba
Keyword(s):  
Renewable Energy ◽  
Natural Gas ◽  
Key Words ◽  
Critical Analysis ◽  
Fossil Fuels ◽  
Calorific Value ◽  
Proximate Analysis ◽  
Heating Value ◽  
Bomb Calorimeter ◽  
Hhv Prediction

Abstrak – Biomassa merupakan salah satu energi terbarukan yang sangat mudah ditemui, ramah lingkungan dan cukup ekonomis. Keberadaan biomassa dapat dimaanfaatkan sebagai pengganti bahan bakar fosil, baik itu minyak bumi, gas alam maupun batu bara. Analisi diperlukan sebagai dasar biomassa sebagai energi seperti proksimat dan kalor. Analisis terpenting untuk menilai biomassa sebagai bahan bakar adalah nilai kalori atau higher heating value (HHV). HHV secara eksperimen diukur menggunakan bomb calorimeter, namun pengukuran ini kurang efektif, karena memerlukan waktu serta biaya yang tinggi. Penelitian mengenai prediksi HHV berdasarkan analisis proksimat telah dilakukan sehingga dapat mempermudah dan menghemat biaya yang diperlukan peneliti. Dalam makalah ini dibahas evaluasi persamaan untuk memprediksi HHV berdasarkan analisis proksimat pada biomassa berdasarkan data dari penelitian sebelumnya. Prediksi nilai HHV menggunakan lima persamaan yang dievaluasi dengan 25 data proksimat biomassa dari penelitian sebelumnya, kemudian dibandingkan berdasarkan nilai error untuk mendapatkan prediksi terbaik. Hasil analisis menunjukan, persamaan A terbaik di 7 biomassa, B di 6 biomassa, C di 6 biomassa, D di 5 biomassa dan E di 1 biomassa.Kata kunci: bahan bakar, biomassa, higher heating value, nilai error, proksimat  Abstract – Biomass is a renewable energy that is very easy to find, environmentally friendly, and quite economical. The existence of biomass can be used as a substitute for fossil fuels, both oil, natural gas, and coal. Analyzes are needed as a basis for biomass as energy such as proximate and heat. The most critical analysis to assess biomass as fuel is the calorific value or higher heating value (HHV). HHV is experimentally measured using a bomb calorimeter, but this measurement is less effective because it requires time and high costs. Research on the prediction of HHV based on proximate analysis has been carried out so that it can simplify and save costs needed by researchers. In this paper, the evaluation of equations is discussed to predict HHV based on proximate analysis on biomass-based on data from previous studies. HHV prediction values using five equations were evaluated with 25 proximate biomass data from previous studies, then compared based on error value to get the best predictions. The analysis shows that Equation A predicts best in 7 biomass, B in 6 biomass, C in 6 biomass, D in 5 biomass, and E in 1 biomass. Key words: fuel, biomass, higher heating value, error value, proximate 

Pilot test of environment-friendly catalysts for the DeNOx of low-temperature flue gas from a coal-fired plant

2021 ◽  
Author(s):  
Lin Guo ◽  
Jianjiang Lu ◽  
Yonggang Zhao ◽  
Chengzhi Wang ◽  
Cheng Zhang ◽  
...  
Keyword(s):  
Low Temperature ◽  
Energy Saving ◽  
Flue Gas ◽  
Small Scale ◽  
Pilot Test ◽  
Environment Friendly ◽  
Efficient Environment

Efficient, environment-friendly, and energy-saving low-temperature denitration (DeNOx) catalysts, applicable in practical flue gas, has a widespread market for use in small-scale boilers. A novel Ce-based low-temperature honeycomb catalyst was tested...

Proximate Analysis of British Columbia Herring in Relation to Season and Condition Factor

1939 ◽  
Vol 4b (5) ◽  
pp. 478-490
Author(s):  
John Lawson Hart ◽  
Albert L. Tester ◽  
Desmond Beall ◽  
John P. Tully
Keyword(s):  
British Columbia ◽  
Oil Content ◽  
Condition Factor ◽  
Calorific Value ◽  
Proximate Analysis ◽  
Early Spring ◽  
Different Seasons ◽  
Spawning Time ◽  
Average Condition ◽  
The Individual

Analysis by standard methods of samples of Clupea pallasii from different seasons and localities in British Columbia showed the following ranges in composition: water, 64.2 to 80.2%; oil, 4.1 to 19.4%; protein, 10.1 to 16.8%; ash, 1.9 to 2.8%. Oil content is highest in summer, declines during the fall and winter, and falls to a minimum after spawning time in early spring. There is an accompanying decline in the weight of the fish. Herring are highly variable in calorific value (2.41 to 0.94 Calories per gram). Potential oil yields on reduction as high as 30 gallons per ton are indicated with a minimum of 7 gallons per ton. Average condition factors for samples were determined by averaging the individual condition factors obtained from [Formula: see text], when C is the condition factor, W is weight in grams, L is length in millimetres, and 3.26 is the exponent in the empirically fitted equation W = CLn. This condition factor was found to be positively correlated with oil content and to follow in general the same seasonal trend.

A Novel Turbulent Aggregation Device for Flue Gas

2014 ◽  
Vol 955-959 ◽  
pp. 2425-2429 ◽  
Author(s):  
Yun Fei Li ◽  
Jian Guo Yang ◽  
Yan Yan Wang ◽  
Xiao Guo Wang
Keyword(s):  
Size Distribution ◽  
Flue Gas ◽  
Large Scale ◽  
Balance Model ◽  
Small Scale ◽  
Multiphase Model ◽  
Specific Performance ◽  
Particles Size Distribution ◽  
Scale Turbulence ◽  
Eulerian Multiphase Model

The purpose of this study is to construct a turbulent aggregation device which has specific performance for fine particle aggregation in flue gas. The device consists of two cylindrical pipes and an array of vanes. The pipes extending fully and normal to the gas stream induce large scale turbulence in the form of vortices, while the vanes downstream a certain distance from the pipes induce small one. The process of turbulent aggregation was numerically simulated by coupling the Eulerian multiphase model and population balance model together with a proposed aggregation kernel function taking the size and inertia of particles into account, and based on data of particles’ size distribution measured from the flue of one power plant. The results show that the large scale turbulence generated by pipes favours the aggregation of smaller particles (smaller than 1μm) notably, while the small scale turbulence benefits the aggregation of bigger particles (larger than 1μm) notably and enhances the uniformity of particle size distribution among different particle groups.

Sign in / Sign up

Export Citation Format

Share Document