Syngas Characteristics from UCG Gasification Process with Lignite and Subbituminous Coal Types

Underground Coal Gasification (UCG) is the process of converting the materials used to make synthetic gas in a feasible and economically attractive manner as a method for harnessing energy from underground coal sources. Coal gasification will produce a gas producer in the form of synthetic gas (syngas) with the main components consisting of carbon monoxide (CO), hydrogen (H2), carbon dioxide (CO2) and nitrogen (N2) and low pollutants. The highest temperature produced with MT 47 lignite coal using an oxygen velocity of 5 liters/minute was 2400 C at the 35th minute, while the lowest temperature was 950 C at the 95th minute. For Subbituminous AL 51 coal using an oxygen velocity of 5 liters/minute, the highest temperature is 3540 C at 75 minutes, while the lowest temperature is 1060 C at 130 minutes. At an oxygen velocity of 5 liters/minute the flash point / burn test is on the MT 47 lignite coal type in the 10th minute and at a temperature of 1700 C. Meanwhile, the AL 51 subbituminous coal type is in the 30th minute and at a temperature of 3130 C. Based on the discussion and analysis of data from the gasification test of lignite and subbituminous coal with variations in oxygen velocity of 5 liters/minute, the results obtained are that lignite coal burns faster (burn test) in the 10th minute at a temperature of 1700 C, in the subbituminous type it has higher temperature 3130 C and longer burn test at 30 minutes.

A Model for Predicting Arsenic Volatilization during Coal Combustion Based on the Ash Fusion Temperature and Coal Characteristic

Arsenic emission from coal combustion power plants has attracted increasing attention due to its high toxicity. In this study, it was found that there was a close relationship between the ash fusion temperature (AFT) and arsenic distribution based on the thermodynamic equilibrium calculation. In addition to the AFT, coal characteristics and combustion temperature also considerably affected the distribution and morphology of arsenic during coal combustion. Thus, an arsenic volatilization model based on the AFT, coal type, and combustion temperature during coal combustion was developed. To test the accuracy of the model, blending coal combustion experiments were carried out. The experimental results and published data proved that the developed arsenic volatilization model can accurately predict arsenic emission during co-combustion, and the errors of the predicted value for bituminous and lignite were 2.3–9.8%, with the exception of JingLong (JL) coal when combusted at 1500 °C.

Determination of Rare Earth Elements Content in Hard Coal Type 31.1

The aim of the article is to present the results of laboratory analyses determining the content of rare earth elements (REE) in hard coal type 31.1. Coal was extracted directly from the mining excavation located in the Upper Silesian Coal Basin. Mass spectrometry tests with ionization in inductively coupled plasma (ICP-MS), were aimed at the quantitative analysis of the share of REE in coal, taking into account the economic aspects of recovery of these elements. Fine ground hard coal samples and ashes obtained after coal burning were assessed for the rare earth elements concentration. Results of the rare earth elements concentration (lanthanum and cerium) in hard coal are similar in the values obtained in previous tests. The current analyses present higher concentration of europium or neodymium. The article also contains the concept of possible future research work, consisting in the recovery of rare earth elements using, among others, a classifying hydrocyclone.

CHARACTERIZATION OF COAL SEAMS IN THE ARANTIGA AND SELUANG MINE BENGKULU USING PROXIMATE ANALYSIS DATA

Indonesia as a country that has ample large coal reserves spread across the Sumatera and Kalimantan islands. The huge potential in the region needs further research to be able to find out the quality and excellence of coal resources in order to know the characteristics in detail, then the research was carried out in the Bengkulu Province area by testing coal sample based on Proximate analysis to obtain accurate coal quality results and analysis of coal characteristics in the area can be carried out. The results show that the coal seams in the Arantiga mine have an average value Inherent Moisture is worth 7.49 %, ASH is worth 9.82 %, Volatile Matter is worth 40.99 %, Fixed Carbon is worth 41.70 %, Total Sulfur is worth 0.34 %, Gross Caloric Value is worth 6305 kcal/kg and including of High Volatile A Bituminous coal type, while the Seluang mine has an average value Inherent Moisture is worth 2.07 %, ASH is worth 22.92 %, Volatile Matter is worth 20.26 %, Fixed Carbon is worth 54.78 %, Total Sulfur is worth 0.55 %, Gross Caloric Value is worth 6365 kcal/kg dan and including of Medium Volatile Bituminous coal type.

A. MODEL KUANTITATIF OPTIMASI ENERGI ALTERNATIF BAHAN BAKAR MINYAK

Sari Penelitian “Model kuantitatif Optimasi Sumber Energi Alternatif Bahan Bakar Minyak (BBM)”, dengan menggunakan metode pendekatan goal programing akan dihasilkan model matetatik yang komperhensif untuk penentuan kibijakan dalam bidang energi alternatif selain bahan bakar minyak. Hasil Penelitian ini yaitu model analisis sensitifitas dan model optimasi energi altenatif BBM. Model yang dikembangkan adalah goal programming untuk optimasi energi alternatif BBM. Implementasi model dilakukan terhadap energi alternatif BBM diantaranya batubara, gas alam dan hidro, Dan hasil perhitungan dengan Expert Choice Version 9.0 diperoleh tipe energi alternatif batubara dengan bobot prioritas relatif 36.8 % pada overall consistency index 0.04 atau 4%. Implementasi model optimasi dilakukan terhadap rencana tipe energi alternative bahan bakar minyak dengan perhitungan dengan menggunakan program Quantitative System 3.0 yang diperoleh batubara = 9.809274, gas = 0.8409028, hidro = 0, Minimal objective = 18.69225. Kata Kunci : Energi Alternatif, Proses Hirarki Analitik, Goal Programing ABSTRACT The purpose of this research is to make the selection model, sensitivity analysis and optimize model of the alternative energy fuel oil. The analysis developed in this research was the sensitivity of Analytical Hierarchy Process for selection model, and goal programming for optimize model. Implementation model of the alternative energy fuel oil is a geothermal, coal, gas and hydro. From the result of calculation with Expert Choice Version 9.0 and Quantitative System 3.0. And the result calculation used Expert Choice Version 9, it is found out coal type energy alternative with relative priority weight of 36.8 % at index consistency overall 0.04 or 4% . With the calculation of Quantitative System 3.0 it is obtained the level at decisive variable for several alternatives it is found out coal = 9.809274, gas = 0.8409028, hydro = 0, minimal objective = 18.69225. Key words: alternative energy, analytical hierarchy process, goal programming

Geochemical Characteristics of Natural Gas and Hydrocarbon Charge History in the Western Qaidam Basin, Northwest China

31 natural gases in the western Qaidam Basin of China were collected and analyzed for gas composition including light hydrocarbons (C5-C7) and carbon isotopic characteristics. Based on genetic type obtained from C1-C3 and C7 fractions, four types of gases are identified: oil-type gas, coal-type gas, biodegraded gas, and mixed gas. The oil-type gas is the predominant-type gas in the western Qaidam Basin; coal-type gas is mainly distributed in the Zhahaquan and Nanyishan fields; mixed gas is mainly in the Zhahaquan, Wunan, and Nanyishan fields; and biodegraded gas is mainly distributed in the Huatugou and Yuejinerhao fields. According to the empirical relationship between δ13C1 and the equivalent vitrinite reflectance (Ro, %) of source rock, the Ro values of gas range from 0.6% to 1.5%, with an average value of 0.9%. The generation temperatures of major reservoired hydrocarbons (GTMRH) calculated from the C7 components range from 115.6°C to 141.7°C, with an average value of 126.5°C. These two maturity indicators have relatively positive correlation and reveal that the maturity of gas increases from west to east in the southwestern Qaidam Basin. Moreover, combining GTMRH with the homogenous temperature of petroleum inclusions, it is inferred that major petroleum charge in the western Qaidam Basin mainly occurred during the late period of the Himalayan movement. Deep hydrocarbon fluid sources were found in the Shizigou, Yingdong, Zhahaquan, and Nanyishan fields; thus, the deep reservoirs of paleouplifts adjacent to the hydrocarbon-generating depressions are estimated as a favorable area for further exploration in the western Qaidam Basin.

Experiment Comparison between Engineering Acid Dew Point and Thermodynamic Acid Dew Point

in order to realize the accurate prediction of acid dew point, a set of measurement system of acid dew point for the flue gas flue gas in the tail of the boiler was designed and built, And measured at the outlet of an air preheater of a power plant of 1 000 MW, The results show that: Under the same conditions, with the test temperature decreases, Nu of heat transfer tubes, fouling and corrosion of pipe wall and corrosion pieces gradually deepened. Then, the measured acid dew point is compared with the acid dew point obtained by using the existing empirical formula under the same coal type. The dew point of engineering acid is usually about 40 ℃ lower than the dew point of thermodynamic acid because of the coupling effect of fouling on the acid liquid, which can better reflect the actual operation of flue gas in engineering and has certain theoretical guidance for the design and operation of deep waste heat utilization system significance.

Analysis of hard coal quality for narrow size fraction under 20 mm

The paper presents the results of an analysis of hard coal quality diversion in narrow size fraction by using taxonomic methods. Raw material samples were collected in selected mines of Upper Silesian Industrial Region and they were classified according to the Polish classification as types 31, 34.2 and 35. Then, each size fraction was characterized in terms of the following properties: density, ash content, calorific content, volatile content, total sulfur content and analytical moisture. As a result of the analysis it can be stated that the best quality in the entire range of the tested size fractions was the 34.2 coking coal type. At the same time, in terms of price parameters, high quality of raw material characterised the following size fractions: 0-6.3 mm of 31 energetic coal type and 0-3.15 mm of 35 coking coal type. The methods of grouping (Ward’s method) and agglomeration (k-means method) have shown that the size fraction below 10 mm was characterized by higher quality in all the analyzed hard coal types. However, the selected taxonomic methods do not make it possible to identify individual size fraction or hard coal types based on chosen parameters.