scholarly journals Ultimate and Proximate Analysis of Coal Samples from Different Regions in Pakistan for their Future Utilization

2019 ◽  
pp. 39-41
Author(s):  
Muhammad Saeed Ullah ◽  
Umair Zahid ◽  
Tariq Masood
Keyword(s):  
Coal Sample ◽  
Calorific Value ◽  
Processing Technique ◽  
Proximate Analysis ◽  
Ultimate Analysis ◽  
Salt Range ◽  
Class 1 ◽  
Proximate And Ultimate Analysis ◽  
Bituminous Coals ◽  
Future Utilization

A comparison of coal samples obtained from various regions of Pakistan was done based on their proximate and ultimate analysis and gross calorific values to discern the processing technique which may be applied for these coals e.g. liquefaction, gasification, carbonization etc. The samples of coal were got from different coal fields in Pakistan. Different nomenclature were chosen to differentiate the regions of coal e.g., SRGE for coal obtained from Sor-Range and Degari coalfields near Quetta, Baluchistan, LKR for coal obtained from Lakhra, Sindh, SLGE for coal obtained from Salt Range coalfields near Chakwal, Punjab, KTL for coal obtained from Kotli, Azad Jammu Kashmir (AJK), MCH for coal obtained from Mach, Baluchistan and THR for coal sample obtained from Tharparkar, Sindh. MCH coals were reported with highest calorific value of 13305.35kcal/kg. THR coals were classified as class (2) coals as they were found with calorific values & carbon contents of 12337.13 kcal/kg and 69.9% respectively. KTL coal samples were reported with lowest carbon contents of 57.9% in ultimate analysis experiments. MCH & SRG coals were nominated as low quality coals because of their highest ash contents i.e., 50%. SRGE and SLG coals were found hazardous for our ecosystem because of their high sulfur contents. SRGE, LKR, SLG and THR were classified as class (2) bituminous coals and were found best gas coals, while MCH and KTL were found class (1) and class (4) bituminous coals respectively.

scholarly journals POTENTIAL OF LEVEL OF WASTE AS AN ALTERNATIVE ENERGY OF FOSSIL FUEL IN TPA CILOWONG

2018 ◽  
Vol 2 (2) ◽  
pp. 93-103
Author(s):  
Ade Ariesmayana ◽  
Fitri Dwirani
Keyword(s):  
Waste Water ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Water Content ◽  
Alternative Energy ◽  
Fossil Fuels ◽  
Calorific Value ◽  
Proximate Analysis ◽  
Disposal Site ◽  
Ultimate Analysis

ABSTRAK Penelitian ini memberikan solusi dalam alternatif energi terbarukan dengan memanfaatkan sampah kota (municipal solid waste) dari sumber Tempat Pembuangan Akhir  Sampah (TPA) Cilowong, Kota Serang. Penelitian ini bertujuan untuk menguji karakteristik sampah Kota Serang, yang meliputi Uji  Proksimat (proximate analysis), Uji Ultimat (ultimate analysis), Kadar Air Sampah dan Uji Nilai Kalor, serta mengetahui seberapa potensialkah timbulan sampah Kota Serang sebagai energi alternatif pengganti bahan bakar fosil. Penelitian dilakukan pada kawasan TPA Cilowong, Kota Serang. Pada laporan ini dibatasi hanya pada perhitungan Kadar Air Sampah. Metode penelitian yang  digunakan adalah dengan pengujian laboratorium dan analisis kelayakan karakteristik sampah. Teknik penelitian yaitu  dengan melakukan survei dan obervasi ke TPAS Cilowong serta wawancara mendalam dengan dinas terkait dan masyarakat yang tinggal di sekitar kawasan tersebut. Hasil penelitian ini adalah kelayakan sampah kota Serang sebagai energi alternatif pengganti bahan bakar fosil.   Kata Kunci: Energi Alternatif, Kadar Air Sampah, TPA Cilowong     ABSTRACT This research provides solutions in alternative renewable energy by utilizing municipal solid waste from the source of the Cilowong Waste Disposal Site (TPA), Serang City. This study aims to examine the characteristics of the city of Serang waste, which includes the Proximate Test (proximate analysis), Ultimate Analysis, Waste Water Content and Calorific Value Test, and find out the potential waste generation of Serang City as an alternative energy to replace fossil fuels. The study was conducted in the Cilowong landfill area, Serang City. This report is limited only to the calculation of Waste Water Content. The research method used is laboratory testing and analysis of the characteristics of waste characteristics. The research technique is by conducting surveys and observations to the Cilowong TPAS as well as in-depth interviews with related agencies and the people living around the area. The results of this study are the feasibility of municipal waste as an alternative energy substitute for fossil fuels.   Keywords: Alternative Energy, Waste Water Content, Cilowong Landfill

scholarly journals COMPARATIVE ANALYSES OF COMBUSTION EFFICIENCIES OF COALS FROM NIGERIA FOR POWER GENERATION

2019 ◽  
pp. 49-59
Keyword(s):  
Power Generation ◽  
Thermogravimetric Analysis ◽  
Coal Sample ◽  
Calorific Value ◽  
Volatile Matter ◽  
Proximate Analysis ◽  
Research Center ◽  
Energy Research ◽  
Comparative Analyses ◽  
Fuel Ratio

Three coal samples from Onyeama (Enugu State), Owukpa (Benue State) and Odagbo (Kogi State) in Nigeria were collected and tested. These were characterized to determine the proximate and the ultimate analyses, calorific value and the thermogravimetric analysis, and their combustion efficiencies for power generation comparatively analyzed. The proximate analysis and the calorific value tests were done at the Energy Research Center, University of Nigeria – Nsukka, while the ultimate analysis test was conducted at the National Geosciences Research Laboratory, Kaduna. Also, the thermogravimetric analysis was carried out at the Energy Research Center, Usman Danfodio University, Sokoto. From the test results, the moisture contents ranged from 10.60 to 16.80%. The Owukpa coal sample had the highest moisture content of 16.80%, followed by Odagbo with 15.95% and Onyeama bearing 10.60%. The volatile matter contents of the samples indicated that Owukpa had the highest value of 19.95%, followed by Onyeama with 18.65% and Odagbo having the least value of 18.58% respectively. Similarly, the Owukpa coal sample had the highest fixed carbon of 55.22% followed by Onyeama with 53.36% and Odagbo with the lowest value of 50.38%, while the ash contents showed Onyeama to possess the highest value of 17.39%, and closely followed by Odagbo with 15.06% and Owukpa having the lowest content of 8.03%. Moreso, Onyeama coal sample with the highest fuel ratio of 2.86 would give the best ease of ignition and fuel burnout followed by Owukpa (2.77), and Odagbo (2.71). The percentages of the elemental carbon of Onyeama, Owukpa and Odagbo coal samples were 52.2170, 53.8178 and 50.8754% respectively, while the hydrogen contents indicated Onyeama (4.7236%), Owukpa (4.0141%) and Odagbo (3.8163%). The nitrogen, sulphur and oxygen contents obtained revealed Onyeama (1.3756, 0.10 and 13.6938%), Owukpa (1.4350, 0.10 and 15.9031%) and Odagbo (1.4260, 0.92 and 12.8423%) respectively. Consequently, the Onyeama coal sample had the highest heating value of 32.916MJ/kg, followed by Odagbo (32.037MJ/kg) and Owukpa (30.062MJ/kg). Based on the comparative analyses, the Onyeama coal indicated the overall best fuel sample followed by Owukpa and then Odagbo in that order in-view of their fuel ratio, combustion efficiencies, quality of the fuel, ease of ignition and fuel burnout.

scholarly journals Technology of Carbon : Effect of Activation Temperature on Characterization the Ultimate and Proximate Activated Carbon of Palm Bunches (Arenga Pinnata (Wurmb). Merr)

2020 ◽  
Vol 9 (4) ◽  
pp. 1268-1274
Keyword(s):  
Activated Carbon ◽  
Proximate Analysis ◽  
National Standard ◽  
Elemental Content ◽  
Activation Temperature ◽  
Ultimate Analysis ◽  
Analysis Methods ◽  
Proximate And Ultimate Analysis ◽  
Increasing Temperature

This study aims to determine the effect of variations in the activation temperature on the quality of activated carbon palm bunches using proximate and ultimate analysis. In this research, the process of preparation activated carbon palm bunches with three stages in the process of dehydration, carbonization, and activation. The activation process uses temperatures of 6000C, 6500C, 7000C, 7500C, 8000C with a time of 30 minutes, After activation, the sample is analyzed using proximate and ultimate analysis methods, Proximate analysis is an analysis to determine the content of water, ash, volatile substances and carbon bonded ultimate analysis is an analysis to determine the content of the elements carbon, hydrogen, nitrogen, oxygen, and sulfur. Proximate analysis methods use furnace equipment, ovens, and scales, while ultimate analysis uses CHN-2000 analyzers and SC-632 analyzers. Proximate analysis results show that the water content, volatile matter content, and ash content of activated carbon bunches with proximate analysis have decreased from the activation temperature 6000C-7000C, then increases the activation temperature 8000C, whereas carbon bound has increased from the sample activation temperature 6000C-7000C then decreases in temperature 8000C while the results of the ultimate analysis show that all samples have variable elemental content, the element carbon increases with increasing temperature of activation while the elemental content of hydrogen, oxygen, nitrogen, and sulfur decreases with increasing temperature of activation. So, for all conditions of the activation temperature, at a temperature of 700 ° C has the optimum value with the highest carbon content and meets the Indonesian National Standard (SNI) quality of activated carbon.

scholarly journals Analysis mixed characterization of Kalimantan coal and mangrove wood charcoal character as briquette raw material

2021 ◽  
Vol 921 (1) ◽  
pp. 012055
Author(s):  
R Rahman ◽  
B Azikin ◽  
D Tahir ◽  
S Widodo
Keyword(s):  
Moisture Content ◽  
Sulfur Content ◽  
Calorific Value ◽  
Volatile Matter ◽  
Proximate Analysis ◽  
Ash Content ◽  
Wood Charcoal ◽  
Fixed Carbon ◽  
Ultimate Analysis ◽  
Mangrove Wood

Abstract This study using three types of coal from East Kalimantan and South Sulawesi Mangrove Wood Charcoal which consisted of various compositions. In sample analysis using analysis, namely: proximate, ultimate, and calorific value. Proximate analysis: ash content, volatile matter, moisture content, fixed carbon; ultimate analysis: carbon and sulfur content and the calorific value using the bomb calorimeter method. The results of the proximate analysis showed that the fixed carbon content was obtained in the mixture of MWC 75% + KJA 25% = 52.45%, while the lowest was obtained at IC 100% = 32.86%; The highest volatile matter was obtained at KJA 100% = 44.23%, the lowest was at MWC 75% + KJA 25% = 31.90%, the highest ash content was IC 100% = 9.14% the lowest was at MWC 75% + KJA 25% = 5.94% and the highest moisture content was seen at IC 100% = 15.17% but MWC 75% + IC 25% = 9.52%. The results of the ultimate analysis showed that the lowest sulfur content was in the mixed variation of MWC 75% + KJA 25% = 0.168%, while the highest sulfur content was obtained at IC 100% = 0.874%. However, it was still in the low sulfur category <1. The highest calorific value is obtained by varying the composition at MWC 75% + IC 25% = 5919 cal/gram, while the lowest was obtained at KJA 100% = 4913 cal/gram. So based on this research, the addition of mangrove charcoal is very good for increasing the calorific value.

Development of models for the prediction of energy content of fresh municipal solid waste from an unsecured landfill in India

2021 ◽  
pp. 0734242X2098560
Author(s):  
Faisal Zia Siddiqui ◽  
M Humam Zaim Faruqi ◽  
Suneel Pandey ◽  
Mohd Emran Khan
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Energy Content ◽  
Calorific Value ◽  
Proximate Analysis ◽  
Landfill Site ◽  
Capital City ◽  
Good Prediction ◽  
Energy Potential ◽  
Ultimate Analysis

The enormous quantities of municipal solid waste (MSW) generation in Indian cities has emerged as a serious concern. In order to reduce the negative environmental impacts of MSW accumulation in dumpsites or unsecured landfills across India, various measures have been proposed to facilitate conversion of MSW into a valuable resource. One such measure is the immense potential for utilization of MSW as a source of energy. In this study, a comprehensive estimation of the energy potential of freshly dumped MSW has been conducted at a large unsecured landfill site in Okhla, Delhi, which is the capital city of India. Multiple regression models were developed to predict gross calorific value (GCV) and net calorific value (NCV) of MSW in terms of physical composition, proximate analysis and ultimate analysis of the waste. The developed models were found to give a reasonably good prediction of energy content of freshly dumped MSW in the landfill. Food waste, inerts, textile and paper were found to be the prime constituents of fresh MSW arriving at the landfill site. Based on the statistical analysis, volatile matter content and oxygen content of MSW were found to be non-significant terms in the energy content models derived using proximate analysis and ultimate analysis, respectively. The models developed in this study can be used to predict energy content of MSW at other landfill sites in India under similar climatic conditions and disposal practices.

Prediction of Calorific Value of Coal by Multi Linear Regression and Analysis of Variance

2021 ◽  
pp. 1-28
Author(s):  
Muhammet Sözer ◽  
Hanzade Haykiri-Acma ◽  
Serdar Yaman
Keyword(s):  
Linear Regression ◽  
Analysis Of Variance ◽  
Calorific Value ◽  
Analysis Data ◽  
Volatile Matter ◽  
Proximate Analysis ◽  
P Values ◽  
Ultimate Analysis ◽  
Predictive Parameters ◽  
Multi Linear Regression

Abstract The higher heating value (HHV) of eighty-four coal samples including hard coals, lignites and anthracites from Russia, Colombia, South Africa, Turkey, and Ukrania was predicted by multi linear regression (MLR) method based on proximate and ultimate analysis data. The prediction accuracy of the correlation equations was tested by Analysis of variance (ANOVA) method. Significance of the predictive parameters was studied considering R2, adj. R2, standard error, f values, and P values. Although relationships between HHV and any of single parameters were almost irregular, MLR provided reasonable correlation. It was also found out that ultimate analysis parameters (C, H, N) played more significant role than the proximate analysis parameters [fixed carbon (FC), volatile matter (VM), and ash] in predicting the HHV. Particularly, FC content was seen inefficient parameter when elemental C content existed in regression equation. The elimination of proximate analysis parameters from equation made the elemental C content the most dominant parameter with by-far very low p-values. For hardcoals, adj. R2 of the equation with 3 parameters [HHV = 87.801(C) + 132.207(H) − 77.929(S)] was slightly higher than that of HHV = 11.421(Ash) + 22.135(VM) + 19.154(FC) + 70.764(C) + 7.552(H) − 53.782(S).

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 

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.

scholarly journals Reduction of Ash Content in Raw Coal Using Acids and Alkali

2010 ◽  
Vol 7 (4) ◽  
pp. 1254-1257 ◽  
Author(s):  
K. H. Shivaprasad ◽  
M. M. Nagabhushana ◽  
C. Venkataiah
Keyword(s):  
Sulfuric Acid ◽  
Hydrochloric Acid ◽  
Coal Sample ◽  
Toxic Elements ◽  
Thermal Power ◽  
Calorific Value ◽  
Ash Content ◽  
Subsequent Removal ◽  
Inorganic Matter ◽  
Leaching Experiments

Ash, an inorganic matter present in coal is amenable for dissolution using suitable reagents. Thus the dissolution of ash and its subsequent removal reduces the release of many toxic elements into the environment by coal based industries. Removal of ash also enhances the calorific value. In the present investigation an attempt has been made to reduce the ash content of raw coal obtained from nearest thermal power by using hydrochloric acid, sulfuric acid and sodium hydroxide. A series of leaching experiments were conducted on coal of different size fractions by varying the parameters like concentration, temperature and time of leaching. The results indicate that it is possible to remove nearly 75% of ash from coal sample by leaching.

scholarly journals Municipal solid waste higher heating value prediction from ultimate analysis using multiple regression and genetic programming techniques

2018 ◽  
Vol 37 (6) ◽  
pp. 578-589 ◽  
Author(s):  
Imane Boumanchar ◽  
Younes Chhiti ◽  
Fatima Ezzahrae M’hamdi Alaoui ◽  
Abdelaziz Sahibed-dine ◽  
Fouad Bentiss ◽  
...  
Keyword(s):  
Genetic Programming ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Multiple Regression ◽  
Calorific Value ◽  
Heating Value ◽  
Ultimate Analysis ◽  
Msw Management ◽  
Important Challenge ◽  
Programming Techniques

Municipal solid waste (MSW) management presents an important challenge for all countries. In order to exploit them as a source of energy, a knowledge of their calorific value is essential. In fact, it can be experimentally measured by an oxygen bomb calorimeter. This process is, however, expensive. In this light, the purpose of this paper was to develop empirical models for the prediction of MSW higher heating value (HHV) from ultimate analysis. Two methods were used: multiple regression analysis and genetic programming formalism. Both techniques gave good results. Genetic programming, however, provides more accuracy compared to published works in terms of a great correlation coefficient (CC) and a low root mean square error (RMSE).

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