검색결과 : 24건
No. | Article |
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1 |
Refuse-derived fuels as a renewable energy source in comparison to coal, rice husk, and sugarcane bagasse Yasar A, Shabbir SA, Tabinda AB, Nazar M, Rasheed R, Malik A, Mukhtar S Energy Sources Part A-recovery Utilization and Environmental Effects, 41(5), 564, 2019 |
2 |
Experimental study on the load response rate under the dynamic combined combustion of PC coal and CFB coal in a CFB boiler Liu ZY, Ma SX, Pan XF, Chen J Fuel, 236, 445, 2019 |
3 |
APPLYING THE CORRECTION FOR UNDECOMPOSED CARBONATES TO GROSS CALORIFIC VALUES OF OIL SHALES FROM DIFFERENT DEPOSITS Pihl O, Tshepelevitsh M, Burko M, Siirde A Oil Shale, 36(2), 250, 2019 |
4 |
Pyrolysis of coconut husk biomass: Analysis of its biochar properties Suman S, Gautam S Energy Sources Part A-recovery Utilization and Environmental Effects, 39(8), 761, 2017 |
5 |
Surface morphology properties of biochars obtained from different biomass waste Suman S, Panwar DS, Gautam S Energy Sources Part A-recovery Utilization and Environmental Effects, 39(10), 1007, 2017 |
6 |
A comparative study between time, temperature, and fixed carbon using different biochar reductants as an alternate source of energy Suman S, Gautam S Energy Sources Part A-recovery Utilization and Environmental Effects, 39(10), 1029, 2017 |
7 |
Effect of pyrolysis time and temperature on the characterization of biochars derived from biomass Suman S, Gautam S Energy Sources Part A-recovery Utilization and Environmental Effects, 39(9), 933, 2017 |
8 |
Prediction models of calorific value of coal based on wavelet neural networks Wen XQ, Jian SG, Wang JG Fuel, 199, 512, 2017 |
9 |
Prediction of the physicochemical properties of woody biomass using linear prediction and artificial neural networks Li H, Yang SJ, Zhao WQ, Xu ZH, Zhao SY, Liu XF Energy Sources Part A-recovery Utilization and Environmental Effects, 38(11), 1569, 2016 |
10 |
Agglomeration of Makarwal coal using soybean oil as agglomerant Mustafa A, Ahmad T, Akhtar J, Shahzad K, Sheikh N, Munir S Energy Sources Part A-recovery Utilization and Environmental Effects, 38(24), 3733, 2016 |