Evaluasi Prediksi Nilai Higher Heating Value (HHV) Biomassa Berdasarkan Analisis Ultimate
Evaluation of Prediction Higher Heating Value (HHV) of Biomass-Based on Ultimate Analysis
DOI:
https://doi.org/10.36873/jjms.v1i2.218Kata Kunci:
analisis ultimate, bahan bakar, biomassa, higher heating valueAbstrak
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.
Unduhan
Referensi
R. Alamsyah, N. C. Siregar, dan F. Hasanah, “Torrefaction study for energy upgrading on Indonesian biomass as low emission solid fuel,” IOP Conf. Ser. Earth Environ. Sci., vol. 65, hlm. 012051, Mei 2017, doi: 10.1088/1755-1315/65/1/012051.
K. G. Suastika, K. Karelius, M. Dirgantara, dan N. Rumbang, “Proses Torefaksi Untuk Meningkatkan Nilai Kalor Cangkang Sawit,” Risal. Fis., vol. 3, no. 2, hlm. 47–50, Sep 2019, doi: 10.35895/rf.v3i2.159.
K. R. Arturi, S. Kucheryavskiy, dan E. G. Søgaard, “Performance of hydrothermal liquefaction (HTL) of biomass by multivariate data analysis,” Fuel Process. Technol., vol. 150, hlm. 94–103, Sep 2016, doi: 10.1016/j.fuproc.2016.05.007.
A. AlNouss, G. McKay, dan T. Al-Ansari, “Production of syngas via gasification using optimum blends of biomass,” J. Clean. Prod., vol. 242, hlm. 118499, Jan 2020, doi: 10.1016/j.jclepro.2019.118499.
B. Acharya dan A. Dutta, “Fuel property enhancement of lignocellulosic and nonlignocellulosic biomass through torrefaction,” Biomass Convers. Biorefinery, vol. 6, no. 2, hlm. 139–149, Jun 2016, doi: 10.1007/s13399-015-0170-x.
R. Ahmad, K. Ismail, M. A. M. Ishak, N. N. Kasim, dan C. Z. A. Abidin, “Pretreatment of palm kernel shell by torrefaction for co-gasification,” dalam 4th IET Clean Energy and Technology Conference (CEAT 2016), 2016, hlm. 1–6, doi: 10.1049/cp.2016.1327.
G. D. Gillespie, C. D. Everard, C. C. Fagan, dan K. P. McDonnell, “Prediction of quality parameters of biomass pellets from proximate and ultimate analysis,” Fuel, vol. 111, hlm. 771–777, Sep 2013, doi: 10.1016/j.fuel.2013.05.002.
P. Sirisomboon, A. Funke, dan J. Posom, “Improvement of proximate data and calorific value assessment of bamboo through near infrared wood chips acquisition,” Renew. Energy, vol. 147, hlm. 1921–1931, Mar 2020, doi: 10.1016/j.renene.2019.09.128.
R. Elneel, S. Anwar, dan B. Ariwahjoedi, “Prediction of Heating Values of Oil Palm Fronds from Ultimate Analysis,” J. Appl. Sci., vol. 13, no. 3, hlm. 491–496, 2013, doi: 10.3923/jas.2013.491.496.
D. R. Nhuchhen dan M. T. Afzal, “HHV Predicting Correlations for Torrefied Biomass Using Proximate and Ultimate Analyses,” Bioengineering, vol. 4, no. 1, Jan 2017, doi: 10.3390/bioengineering4010007.
S. Hosseinpour, M. Aghbashlo, M. Tabatabaei, dan M. Mehrpooya, “Estimation of biomass higher heating value (HHV) based on the proximate analysis by using iterative neural network-adapted partial least squares (INNPLS),” Energy, vol. 138, hlm. 473–479, Nov 2017, doi: 10.1016/j.energy.2017.07.075.
W. Setyawati, E. Damanhuri, P. Lestari, dan K. Dewi, “Correlation Equation to Predict HHV of Tropical Peat Based on its Ultimate Analyses,” Procedia Eng., vol. 125, hlm. 298–303, Jan 2015, doi: 10.1016/j.proeng.2015.11.048.
A. Dashti, A. S. Noushabadi, M. Raji, A. Razmi, S. Ceylan, dan A. H. Mohammadi, “Estimation of biomass higher heating value (HHV) based on the proximate analysis: Smart modeling and correlation,” Fuel, vol. 257, no. March, hlm. 115931, 2019, doi: 10.1016/j.fuel.2019.115931.
A. Özyu?uran, S. Yaman, dan S. Küçükbayrak, “Prediction of calorific value of biomass based on elemental analysis,” vol. 02, no. 03, hlm. 254–260, 2018.
F. P. Estimation, W. Fuels, dan R. D. Fuel, “An universal method to predict higher heating values of fuel compounds,” no. July, 2016.
F. R. A. Abdul Wahid, S. Saleh, dan N. A. F. Abdul Samad, “Estimation of Higher Heating Value of Torrefied Palm Oil Wastes from Proximate Analysis,” Energy Procedia, vol. 138, hlm. 307–312, 2017, doi: 10.1016/j.egypro.2017.10.102.
C. Y. Yin, “Prediction of higher heating values of biomass from proximate and ultimate analyses,” Fuel, vol. 90, no. 3, hlm. 1128–1132, 2011, doi: 10.1016/j.fuel.2010.11.031.
B.-J. Lin dkk., “Prediction of higher heating values (HHVs) and energy yield during torrefaction via kinetics,” Energy Procedia, vol. 158, hlm. 111–116, Feb 2019, doi: 10.1016/j.egypro.2019.01.054.
I. Estiati, F. B. Freire, J. T. Freire, R. Aguado, dan M. Olazar, “Fitting performance of artificial neural networks and empirical correlations to estimate higher heating values of biomass,” Fuel, vol. 180, hlm. 377–383, 2016, doi: 10.1016/j.fuel.2016.04.051.
A. Özyu?Uran dan S. Yaman, “Prediction of Calorific Value of Biomass from Proximate Analysis,” Energy Procedia, vol. 107, no. September 2016, hlm. 130–136, 2017, doi: 10.1016/j.egypro.2016.12.149.
S. B. Nam, Y. S. Park, D. J. Kim, dan J. H. Gu, “Torrefaction Reaction Characteristic of Various Biomass Waste on Pilot Scale of Torrefaction Reaction System,” Procedia Environ. Sci., vol. 35, hlm. 890–894, 2016, doi: 10.1016/j.proenv.2016.07.044.
T. A. Mamvura, G. Pahla, dan E. Muzenda, “Torrefaction of waste biomass for application in energy production in South Africa,” South Afr. J. Chem. Eng., vol. 25, hlm. 1–12, 2018, doi: 10.1016/j.sajce.2017.11.003.
R. Ahmad, K. Ismail, M. A. M. Ishak, N. N. Kasim, dan C. Z. A. Abidin, “Pretreatment of palm kernel shell by torrefaction for cogasification,” IET Conf. Publ., vol. 2016, no. CP688, hlm. 1–6, 2016, doi: 10.1049/cp.2016.1327.
Q.-V. Bach, H.-R. Gye, D. Song, dan C.-J. Lee, “High quality product gas from biomass steam gasification combined with torrefaction and carbon dioxide capture processes,” Int. J. Hydrog. Energy, vol. 44, no. 28, hlm. 14387–14394, Mei 2019, doi: 10.1016/j.ijhydene.2018.11.237.
X. Cheng, Z. Huang, Z. Wang, C. Ma, dan S. Chen, “A novel on-site wheat straw pretreatment method: enclosed torrefaction,” Bioresour. Technol., no. February, 2019, doi: 10.1016/j.biortech.2019.02.075.
G. Talero, S. Rincón, dan A. Gómez, “Biomass torrefaction in a standard retort?: A study on oil palm solid residues,” Fuel, vol. 244, no. October 2018, hlm. 366–378, 2019, doi: 10.1016/j.fuel.2019.02.008.
M. Manouchehrinejad dan S. Mani, “Energy Conversion and Management?: X Process simulation of an integrated biomass torrefaction and pelletization ( iBTP ) plant to produce solid biofuels,” Energy Convers. Manag. X, vol. 1, no. April, hlm. 100008, 2019, doi: 10.1016/j.ecmx.2019.100008.