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Journal articles on the topic 'Higher heating value'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Malucelli, L. C., G. F. Silvestre, J. Carneiro, E. C. Vasconcelos, M. Guiotoku, C. M. B. F. Maia, and M. A. S. Carvalho Filho. "Biochar higher heating value estimative using thermogravimetric analysis." Journal of Thermal Analysis and Calorimetry 139, no. 3 (August 5, 2019): 2215–20. http://dx.doi.org/10.1007/s10973-019-08597-8.

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2

Jayaraman, Pavalavana Pandian, Sendhil Kumar Natarajan, and M. Pugazhvadivu. "Estimation of Higher Heating Value of Waste Frying Oil from its Chemical Properties." Applied Mechanics and Materials 592-594 (July 2014): 2432–36. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.2432.

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Vegetable oils are considered as substitute for energy production. In this paper, a correlation was developed based on iodine and saponification values of the waste frying oil to estimate its higher heating value. Five samples of waste frying oil were collected, its iodine value and saponification value were measured and the heating values were measured. A correlation by linear regression method was developed and compared with the heating value obtained experimentally. A Comparison was made with other correlations available in the literature. The comparison of higher heating value obtained from new correlation and experiments gave a R2 value of 0.97, error of standard deviation is 0.06 and an average error of 1.86%.

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3

Mateus, Maria Margarida, João Carlos Bordado, and Rui Galhano dos Santos. "Potential biofuel from liquefied cork – Higher heating value comparison." Fuel 174 (June 2016): 114–17. http://dx.doi.org/10.1016/j.fuel.2016.01.081.

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4

Wnetrzak, R., D. J. M. Hayes, L. S. Jensen, J. J. Leahy, and W. Kwapinski. "Determination of the Higher Heating Value of Pig Manure." Waste and Biomass Valorization 6, no. 3 (January 30, 2015): 327–33. http://dx.doi.org/10.1007/s12649-015-9350-y.

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5

Górnicki, Krzysztof, Agnieszka Kaleta, and Radosław Winiczenko. "Estimating the higher heating value of forest and agricultural biomass." E3S Web of Conferences 154 (2020): 01002. http://dx.doi.org/10.1051/e3sconf/202015401002.

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The objectives of study were to investigate the ash content, carbon content and the higher heating value and modelling of HHV of forest and agricultural biomass. Five types of biomass were used for the experiments: sunflower husk pellets, wood pellets, straw and hay briquettes, and forest chips. The investigated biomass properties (their average values) change: for ash content between 1.3% (woods pellets) and 7.3% (hay briquettes), for carbon content between 37.4% (forest chips) and 52.0% (wood pellets), for HHV between 14.8 kJ/kg (forest chips) and 20.1 kJ/kg (sunflower husk pellets). Two mathematical models from literature and model proposed by the authors were used to the HHV calculation. The model proposed by the authors gave the best results in determination of sunflower husk pellets HHV.

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6

Dirgantara, Made, Karelius Karelius, and Marselin Devi Ariyanti, Sry Ayu K. Tamba. "Evaluasi Prediksi Higher Heating Value (HHV) Biomassa Berdasarkan Analisis Proksimat." Risalah Fisika 4, no. 1 (July 14, 2020): 1–7. http://dx.doi.org/10.35895/rf.v4i1.166.

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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

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7

Nakawajana, Natrapee, Jetsada Posom, and Jaruwat Paeoui. "The Prediction of Higher Heating Value, Lower Heating Value and Ash Content of rice Husk Using FT-NIR Spectroscopy." Engineering Journal 22, no. 5 (September 30, 2018): 45–56. http://dx.doi.org/10.4186/ej.2018.22.5.45.

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8

Zhu, Mao Kui, De Fan Qing, and Ai Rui Chen. "Numerical Simulation and Experimental Research on Higher Heating Value Biomass Gas Gasifier." Applied Mechanics and Materials 737 (March 2015): 38–45. http://dx.doi.org/10.4028/www.scientific.net/amm.737.38.

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With dry woody particles as fuel and air-steam as gasification agent, the higher heating value biomass gas gasifier used software to simulate the height position h of the steam from the entrance in the gasifier, the steam inlet flow rate Vs and the air inlet flow rate V0. These three parameters impact on the volume concentration of CO, H2 and CH4 and its gas calorific value were analyzed. The orthogonal test were used for design parameters h, Vs and V0, the optimization values of these three parameters were carried out, and test its volume concentration and gas calorific values. Numerical simulation and experimental results showed that when the height position h=180mm, air inlet flow rate V0=0.94m3/h, and steam inlet flow rate Vs=1.30m3/h, the combustion of biomass gas calorific value arrives its top, the value is Q=10.98MJ/m3, which is 114.87% higher than when single gas agent is used.

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9

Zeng, Qi. "Research on the Heating Value Measurement of Ethanol-Biodiesel-Diesel Blend." Applied Mechanics and Materials 333-335 (July 2013): 1884–88. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1884.

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Research has been done on the heating value of ethanol, biodiesel and diesel, and their heating values were measured with oxygen bomb calorimeter, by means of GB/T384-81 national standard. All errors are limited in the range of national standard. Research and calculation results indicate that the heating value of ethanol-biodiesel-diesel decreases with the increasing ratio of ethanol and biodiesel. The calculation value through experimental formula of low heating value is higher than that of experimental measuring. The higher percentage is in the range of 5.7%~7.6%.

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10

Dirgantara, Made, Novi Kristian, Karelius, and Karelius. "Evaluasi Prediksi Nilai Higher Heating Value (HHV) Biomassa Berdasarkan Analisis Ultimate." Jurnal Jejaring Matematika dan Sains 1, no. 2 (December 31, 2019): 107–13. http://dx.doi.org/10.36873/jjms.v1i2.218.

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Biomassa merupakan energi terbarukan yang sangat penting, dimana keberadaannya dapat menggantikan bahan bakar fosil baik padat maupun cair. Sebagai bahan bakar tentu perlu adanya analisis-analisis untuk mengetahui karakteristik dan kualitas biomassa sehingga kita dapat mengklasifikasikan biomassa yang potensial digunakan sebagai bahan bakar. Nilai kalori atau higher heating value (HHV) merupakan sifat terpenting dari suatu bahan bakar. Pada umumnya pengukuran nilai kalori menggunakan bomb calorimeter, akan tetapi pengukuran ini memerlukan waktu dan biaya sehingga tidak efektif jika yang dianalisis dalam jumlah banyak. Dalam makalah ini akan dibahas persamaan untuk memprediksi nilai HHV biomassa berdasarkan analisis ultimate yang di dapatkan dari penelitian sebelumnya. Empat prediksi nilai HHV menggunakan 15 data komposisi kimia biomassa dari penelitian sebelumnya kemudian dibandingkan berdasarkan ketepatan untuk mendapatkan prediksi terbaik. Persamaan P1 dan P4 terbaik dalam memprediksi nilai HHV berdasarkan data analisis ultimate, dimana masing-masing memprediksi terbaik di lima biomassa. Berdasarkan sumber biomassa, persamaan P1 baik dalam memprediksi hasil perkebunan dan pertanian yang berupa serabut/serat tinggi dengan kadar karbon dan oksigen yang tinggi dan tidak memiliki sulfur. P4 baik dalam memprediksi biomassa hasil sampingan kehutanan dengan karakter tinggi kadar karbon dan oksigen, rendah hydrogen dan oksigen serta memiliki sulfur.

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11

Boumanchar, Imane, Younes Chhiti, Fatima Ezzahrae M’Hamdi Alaoui, Abdelaziz Sahibed-Dine, Fouad Bentiss, Charafeddine Jama, and Mohammed Bensitel. "Multiple regression and genetic programming for coal higher heating value estimation." International Journal of Green Energy 15, no. 14-15 (October 22, 2018): 958–64. http://dx.doi.org/10.1080/15435075.2018.1529591.

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12

Keybondorian, Ebrahim, Hosein Zanbouri, Amin Bemani, and Touba Hamule. "Estimation of the higher heating value of biomass using proximate analysis." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 39, no. 20 (October 18, 2017): 2025–30. http://dx.doi.org/10.1080/15567036.2017.1400609.

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13

Górnicki, Krzysztof, Agnieszka Kaleta, and Radosław Winiczenko. "Prediction of higher heating value of oat grain and straw biomass." E3S Web of Conferences 154 (2020): 01003. http://dx.doi.org/10.1051/e3sconf/202015401003.

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The aim of the study was modelling of HHV of oat (grain and straw) biomass. The content of ash, carbon, hydrogen, nitrogen, moisture, volatile materials and the higher heating value of oat (grain and straw) biomass was measured. The possibility of using twenty models from the literature to describe HHV of oat was examined. The following models: HHV=19.914-0.2324A and HHV=-3.0368+0.2218VM+0.2601FC are recommended for determining of HHV of oat (RMSE of the range 0.13-0.28). The models based on ultimate analysis gave worse results in determination of HHV for oat.

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14

Han, Jun, Xi Yao, Yiqiu Zhan, Song-Yul Oh, Lae-Hyun Kim, and Hee-Joon Kim. "A method for estimating higher heating value of biomass-plastic fuel." Journal of the Energy Institute 90, no. 2 (April 2017): 331–35. http://dx.doi.org/10.1016/j.joei.2016.01.001.

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15

Montero, Gisela, Marcos A. Coronado, Ricardo Torres, Beatriz E. Jaramillo, Conrado García, Margarita Stoytcheva, Ana M. Vázquez, José A. León, Alejandro A. Lambert, and Edgar Valenzuela. "Higher heating value determination of wheat straw from Baja California, Mexico." Energy 109 (August 2016): 612–19. http://dx.doi.org/10.1016/j.energy.2016.05.011.

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16

Fernandes, Frederico, Sandro Matos, Daniela Gaspar, Luciana Silva, Ivo Paulo, Salomé Vieira, Paula C. R. Pinto, João Bordado, and Rui Galhano dos Santos. "Boosting the Higher Heating Value of Eucalyptus globulus via Thermochemical Liquefaction." Sustainability 13, no. 7 (March 26, 2021): 3717. http://dx.doi.org/10.3390/su13073717.

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Biomass can be envisaged as a potential solution to mitigate the problems that the extensive exploitation of fossil sources causes on the environment. Transforming biomass into added-value products with better calorific properties is highly desired. Thermochemical liquefaction can convert biomass into a bio-oil. The work herein presented concerns the study of direct liquefaction of Eucalyptus globulus sawdust. The main goal was to optimise the operating conditions of the process to achieve high bio-oil conversion rates. Studies were carried out to understand the impact of the process factors, such as the residence time, catalyst concentration, temperature, and the biomass-to-solvent ratio. The E. globulus sawdust conversion into bio-oil was achieved with a maximum conversion of 96.2%. A higher conversion was reached when the eucalyptus sawdust’s thermochemical liquefaction was conducted over 180 min in the presence of a >2.44% catalyst concentration at 160 °C. A lower biomass-to-solvent ratio favours the process leading to a higher conversion of biomass into bio-oil. The afforded bio-oil presented a better higher heating value than that of E. globulus sawdust.

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17

Soponpongpipat, Nitipong, Dussadeeporn Sittikul, and Unchana Sae-Ueng. "Higher heating value prediction of torrefaction char produced from non-woody biomass." Frontiers in Energy 9, no. 4 (October 12, 2015): 461–71. http://dx.doi.org/10.1007/s11708-015-0377-3.

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18

Wanignon Ferdinand, Fassinou, Laurent Van de Steene, Koua Kamenan Blaise, and Toure Siaka. "Prediction of pyrolysis oils higher heating value with gas chromatography–mass spectrometry." Fuel 96 (June 2012): 141–45. http://dx.doi.org/10.1016/j.fuel.2012.01.007.

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19

ZHU, X., and R. VENDERBOSCH. "A correlation between stoichiometrical ratio of fuel and its higher heating value." Fuel 84, no. 7-8 (May 2005): 1007–10. http://dx.doi.org/10.1016/j.fuel.2004.12.002.

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20

Sheng, Changdong, and J. L. T. Azevedo. "Estimating the higher heating value of biomass fuels from basic analysis data." Biomass and Bioenergy 28, no. 5 (May 2005): 499–507. http://dx.doi.org/10.1016/j.biombioe.2004.11.008.

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21

Redden, Hilary, John J. Milledge, H. Christopher Greenwell, Philip W. Dyer, and Patricia J. Harvey. "Changes in higher heating value and ash content of seaweed during ensiling." Journal of Applied Phycology 29, no. 2 (October 15, 2016): 1037–46. http://dx.doi.org/10.1007/s10811-016-0975-4.

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22

Chen, Xiaoling, Yongxing Zhang, Baoshen Xu, and Yifan Li. "A simple model for estimation of higher heating value of oily sludge." Energy 239 (January 2022): 121921. http://dx.doi.org/10.1016/j.energy.2021.121921.

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23

Chen, Xiao Liang, Zuan Tian, and Jian Ping Ding. "Experimental Measurement and Prediction of Heating Values of Municipal Solid Waste." Materials Science Forum 867 (August 2016): 139–43. http://dx.doi.org/10.4028/www.scientific.net/msf.867.139.

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The weight percentage of food waste, plastics and rubber, paper, textile, weed and wood, and leather were measured for dry-base municipal solid wastes in a city of west China respectively. The dry higher heating value, wet higher heating value, and wet lower heating value of municipal solid wastes were also measured respectively. Based on the measured physical compositions data of wastes, three models were developed to predict three kinds of heating values respectively by the multiple linear regression method. The prediction results were compared with three predictive models from different regions in the world, and the predictive results of the developed models are the most accurate.

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24

Zha, Yu Wei, Juan Liu, Xiu Qin Yang, and Xia Li. "Effect of Sintering Temperature on MAl₂O₄Catalysts Used for the Catalytic Pyrolysis of Microalgae." Advanced Materials Research 773 (September 2013): 508–13. http://dx.doi.org/10.4028/www.scientific.net/amr.773.508.

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A series of MAl2O4(M=Ni2+and Mg2+) catalysts with high catalyst activity was prepared via co-precipitation. Higher sintering temperature is favorable to catalyst activity. As-prepared MAl2O4catalysts were characterized by X-ray diffraction, scanning electronic microscopy, and BrunauerEmmettTeller method. MAl2O4catalysts were evaluated using the heating values of bio-oils derived from the catalytic pyrolysis of microalgae. The heating value of the bio-oils is enhanced along with the increased sintering temperature of MAl2O4catalysts. The highest heating value using MAl2O4catalysts sintered at 700 °C was 36.298 MJ/kg, which was higher than the value when using ZSM-5.

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25

Radenahmad, Nikdalila, Md Sumon Reza, Muhammad S. Abu Bakar, and Abul K. Azad. "Thermochemical Characterization of Rice Husk (Oryza Sativa Linn) for Power Generation." ASEAN Journal of Chemical Engineering 20, no. 2 (December 31, 2020): 184. http://dx.doi.org/10.22146/ajche.59267.

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Rice husk is biomass that can be utilized as fuel for biomass gasification as a renewable energy source. In this paper, thermochemical methods were used to determine the higher heating values, moisture content, bulk density, pellet density, microstructure, and elemental composition of Thai Rice Husk (Oryza Sativa Linn). The heating energy was analyzed using a bomb calorimeter, which showed a higher heating value of 15.46 MJ/kg. Determination of pellet density through rice husk powder pelletization exhibited a value of 1.028 g/cm3, while moisture content was 5.017 wt%. The heating value and moisture content revealed good agreement with the literature values, indicating the potentiality of rice hush for energy generation. Scanning electron microscopy (SEM) showed that the raw rice husk and its ash have similar porosity types but different bulk structure. Elemental analysis using energy dispersive X-ray (EDX) indicated that rice husk contains O, Si, C while O and C percentages were drastically decreased during combustion. The obtained heating value and moisture content proved that rice husk could be used as a bio-energy source in biomass gasification for power generation.

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26

Rizhikovs, Janis, Aigars Paze, Ance Plavniece, Kristaps Stankus, and Inguss Virsis. "A NOVEL METHOD FOR BIRCH OUTER BARK QUALITY CONTROL USING HIGHER HEATING VALUE." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 3 (June 15, 2017): 282. http://dx.doi.org/10.17770/etr2017vol3.2550.

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In plywood plants, the bark of a birch tree is a readily accessible and already concentrated feedstock for further processing. It consists of two distinct layers: outer bark and inner bark. Up to 25.7 % of biologically active compounds (betulin, lupeol, betulinic acid) are concentrated in outer bark, with a broad spectrum of applications in the chemical, pharmaceutical, cosmetic and food industries. The inner bark must be separated from outer bark as well as possible because it causes a decrease in the yield and purity of the prepared ethanol extractives. Therefore, it is very important to predict the content of inner bark in the feedstock taken for the extraction process. A novel method for the characterization of feedstock was developed using the higher heating value (HHV) as a reference. The developed method for birch outer bark quality control is very useful in birch outer bark extraction plants. Thus, it would be possible to control the purity of the feedstock and to predict the potential yield of extractives as well as the amount of the solvent to be taken for the extraction process. Pure enough (≥90 % of outer bark) feedstock for biologically active extractives production can be obtained by the floating method after 5 h if the HHV is more than 32-33 MJ/kg.

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27

Kieseler, Stefan, York Neubauer, and Nico Zobel. "Ultimate and Proximate Correlations for Estimating the Higher Heating Value of Hydrothermal Solids." Energy & Fuels 27, no. 2 (February 12, 2013): 908–18. http://dx.doi.org/10.1021/ef301752d.

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28

Baghban, Alireza, and Taghi Ebadi. "GA-ANFIS modeling of higher heating value of wastes: Application to fuel upgrading." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 41, no. 1 (October 5, 2018): 7–13. http://dx.doi.org/10.1080/15567036.2017.1344746.

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29

Nhuchhen, Daya Ram, and P. Abdul Salam. "Estimation of higher heating value of biomass from proximate analysis: A new approach." Fuel 99 (September 2012): 55–63. http://dx.doi.org/10.1016/j.fuel.2012.04.015.

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30

Choi, Hong L., Sartika I. A. Sudiarto, and Anriansyah Renggaman. "Prediction of livestock manure and mixture higher heating value based on fundamental analysis." Fuel 116 (January 2014): 772–80. http://dx.doi.org/10.1016/j.fuel.2013.08.064.

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31

Ghugare, S. B., S. Tiwary, V. Elangovan, and S. S. Tambe. "Prediction of Higher Heating Value of Solid Biomass Fuels Using Artificial Intelligence Formalisms." BioEnergy Research 7, no. 2 (December 13, 2013): 681–92. http://dx.doi.org/10.1007/s12155-013-9393-5.

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32

Abdul Wahid, Fakhrur Razil Alawi, Suriyati Saleh, and Noor Asma Fazli Abdul Samad. "Estimation of Higher Heating Value of Torrefied Palm Oil Wastes from Proximate Analysis." Energy Procedia 138 (October 2017): 307–12. http://dx.doi.org/10.1016/j.egypro.2017.10.102.

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33

Maksimuk, Yury, Zoya Antonava, Vladimir Krouk, Alina Korsakova, and Vera Kursevich. "Prediction of higher heating value (HHV) based on the structural composition for biomass." Fuel 299 (September 2021): 120860. http://dx.doi.org/10.1016/j.fuel.2021.120860.

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34

Jayaraman, Pavalavana Pandian, Sendhil Kumar Natarajan, and M. Pugazhvadivu. "Determination of Higher Heating Value of Waste Frying Oil from its Physico-Chemical Properties." Journal of Biofuels and Bioenergy 1, no. 1 (2015): 79. http://dx.doi.org/10.5958/2454-8618.2015.00010.3.

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35

Molinari, Krissina Camilla, Washington Luiz Esteves Magalhães, Agnieszka Pawlicka, and Gilmara de Oliveira Machado. "Fitted higher heating value from proximate analysis of torrefied pellets of Pinus taeda L." Molecular Crystals and Liquid Crystals 693, no. 1 (November 2, 2019): 18–29. http://dx.doi.org/10.1080/15421406.2020.1723915.

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36

Qian, Xuejun, Seong Lee, Ana-maria Soto, and Guangming Chen. "Regression Model to Predict the Higher Heating Value of Poultry Waste from Proximate Analysis." Resources 7, no. 3 (June 26, 2018): 39. http://dx.doi.org/10.3390/resources7030039.

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37

Boumanchar, Imane, Kenza Charafeddine, Younes Chhiti, Fatima Ezzahrae M’hamdi Alaoui, Abdelaziz Sahibed-dine, Fouad Bentiss, Charafeddine Jama, and Mohammed Bensitel. "Biomass higher heating value prediction from ultimate analysis using multiple regression and genetic programming." Biomass Conversion and Biorefinery 9, no. 3 (February 7, 2019): 499–509. http://dx.doi.org/10.1007/s13399-019-00386-5.

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38

Jampolski, Leon, Tobias Jakobs, Thomas Kolb, and Norbert Willenbacher. "Coke Slurries with Improved Higher Heating Value and Good Processability via Particle Shape Design." Chemical Engineering & Technology 40, no. 10 (August 31, 2017): 1885–94. http://dx.doi.org/10.1002/ceat.201700061.

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39

Fassinou, Wanignon Ferdinand, Laurent Van de Steene, Siaka Toure, and Eric Martin. "What correlation is appropriate to evaluate biodiesels and vegetable oils higher heating value (HHV)?" Fuel 90, no. 11 (November 2011): 3398–403. http://dx.doi.org/10.1016/j.fuel.2011.04.025.

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40

Araújo, Luísa Carvalho Pereira, Fábio Minoru Yamaji, Vitor Hugo Lima, and Vagner Roberto Botaro. "Kraft lignin fractionation by organic solvents: Correlation between molar mass and higher heating value." Bioresource Technology 314 (October 2020): 123757. http://dx.doi.org/10.1016/j.biortech.2020.123757.

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41

Telmo, C., and J. Lousada. "The explained variation by lignin and extractive contents on higher heating value of wood." Biomass and Bioenergy 35, no. 5 (May 2011): 1663–67. http://dx.doi.org/10.1016/j.biombioe.2010.12.038.

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42

Maksimuk, Yury, Zoya Antonava, Vladimir Krouk, Alina Korsakova, and Vera Kursevich. "Prediction of higher heating value based on elemental composition for lignin and other fuels." Fuel 263 (March 2020): 116727. http://dx.doi.org/10.1016/j.fuel.2019.116727.

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43

Al-Degs, Yahya S., Mohammed Al-Ghouti, and Gavin Walker. "Determination of higher heating value of petro-diesels using mid-infrared spectroscopy and chemometry." Journal of Thermal Analysis and Calorimetry 107, no. 2 (May 11, 2011): 853–62. http://dx.doi.org/10.1007/s10973-011-1574-x.

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Tyukavina, Ol'ga, and Aleksandra Gudina. "HEATING CAPABILITY OF POSTPYROGEN PINE WOOD." Forestry Engineering Journal 10, no. 2 (July 6, 2020): 188–95. http://dx.doi.org/10.34220/issn.2222-7962/2020.2/19.

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The forests of the North are characterized by frequent exposure to ground fires. The study of wood qualities at the burnt areas for its rational use is relevant. The aim of the study was to study the calorific value of Scots pine after a ground fire. The studies were conducted in the Permilovsk, Unsk and Obozersk forest districts of the Arkhangelsk region from 2016-2018. The fire duration in the studied areas was 3-8 years. The calorific value of pine wood in an absolutely dry state was determined using an ABK-1V automated bomb calorimeter. The calorific value of pine wood of post-pyrogenic stands averages from 21,389 J/g to 22,452 J/g. In post-pyrogenic stands, the calorific value of pine soundwood is significantly higher (1331 J/g) compared to sapwood. In pine trees that have dried up after a ground fire and in viable trees that are susceptible to 1-2 stages of decay, the calorific value of wood is at the level of healthy trees. It is 21,182 — 22,590 J/g and 21,521 — 22,394 J/g, respectively. However, sapwood for this category of trees has lower values of 19,648 — 19,873 J/g. The average calorific value of pine wood in plantations not damaged by fires is lower by 658 — 1,721 J/g in comparison with post-pyrogenic ones. For the first time, data on the calorific value of post-pyrogenic wood of trees of different status categories were obtained for the north of the Arkhangelsk region. The calorific value of post-pyrogenic pine wood of different categories of state is characterized by increased values. It allows it to be used as raw material for biofuel.

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Mundike, Jhonnah, François-Xavier Collard, and Johann F. Görgens. "Torrefaction of invasive alien plants: Influence of heating rate and other conversion parameters on mass yield and higher heating value." Bioresource Technology 209 (June 2016): 90–99. http://dx.doi.org/10.1016/j.biortech.2016.02.082.

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Pfersich, Jens, Pablo J. Arauzo, Michela Lucian, Pierpaolo Modugno, Maria-Magdalena Titirici, Luca Fiori, and Andrea Kruse. "Hydrothermal Conversion of Spent Sugar Beets into High-Value Platform Molecules." Molecules 25, no. 17 (August 27, 2020): 3914. http://dx.doi.org/10.3390/molecules25173914.

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The growing importance of bio-based products, combined with the desire to decrease the production of wastes, boosts the necessity to use wastes as raw materials for bio-based products. A waste material with a large potential is spent sugar beets, which are mainly used as animal feeds or fertilizers. After hydrothermal treatment, the produced chars exhibited an H/C ratio of 1.2 and a higher heating value of 22.7 MJ/kg, which were similar to that of subbituminous coal and higher than that of lignite. Moreover, the treatment of 25 g/L of glucose and 22 g/L of fructose by heating up to 160 °C led to a possible application of spent sugar beets for the production of 5-hydroxymethylfurfural. In the present study, the maximum concentration of 5-hydroxymethylfurfural was 3.4 g/L after heating up to 200 °C.

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Tjojudo, Danianto Hendragiri, and Sutrasno Kartohardjono. "Methane Number Improvement of Gas from LNG Regasification Unit." E3S Web of Conferences 67 (2018): 04033. http://dx.doi.org/10.1051/e3sconf/20186704033.

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Methane Number (MN) is one of quality requirement of gas as fuel for gas engine, which indicates fuel capability to avoid knocking in the engine. Higher MN provides better quality of gas for gas engine. Natural gas with higher methane (CH4) and fewer higher hydrocarbon, tends to have higher MN score. This study aims to obtain heating methods of LNG to produce vapor that has appropriate MN as a fuel gas supply to gas engine. The simulation for LNG regasification prepared is an approach to the design of the existing regasification facility of the power plant in Bali. The temperature ranges for LNG heating simulation were obtained based on saturated temperatures of LNG phase envelopes. In the simulation. to obtain a certain MN value can be conducted by adjusting the temperatures at two different values i.e. above -110 ° and below - 80 °. To produce LNG vapor that has MN of 80 either through higher temperature of heating (HT heating) or lower temperature of heating (LT heating) requires more energy than direct heating without MN improvement. Heat loading for LT heating is higher than HT heating due to more temperature defference between LT and heating fluid temperatures. The ability of engine to produce power decreased with decreasing fuel gas MN. The power increment increases for lower MN gas if MN improvement is conducted.

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Cao, Yan, Yang Wang, John T. Riley, and Wei-Ping Pan. "A novel biomass air gasification process for producing tar-free higher heating value fuel gas." Fuel Processing Technology 87, no. 4 (April 2006): 343–53. http://dx.doi.org/10.1016/j.fuproc.2005.10.003.

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Akkaya, Ali Volkan. "Proximate analysis based multiple regression models for higher heating value estimation of low rank coals." Fuel Processing Technology 90, no. 2 (February 2009): 165–70. http://dx.doi.org/10.1016/j.fuproc.2008.08.016.

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Callejón-Ferre, A. J., B. Velázquez-Martí, J. A. López-Martínez, and F. Manzano-Agugliaro. "Greenhouse crop residues: Energy potential and models for the prediction of their higher heating value." Renewable and Sustainable Energy Reviews 15, no. 2 (February 2011): 948–55. http://dx.doi.org/10.1016/j.rser.2010.11.012.

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