The Prediction of Higher Heating Value, Lower Heating Value and Ash Content of rice Husk Using FT-NIR Spectroscopy

Nakawajana, Natrapee; Posom, Jetsada; Paeoui, Jaruwat

doi:10.4186/ej.2018.22.5.45

Cited by 17 publications

(11 citation statements)

References 28 publications

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“…Unknown samples (23 samples from 14 tubers) were obtained from a different area and were used to test the performance of the empirical model. The samples were dug up from the ground and immediately sent to the laboratory to determine the values of SG, SC and DM in order to determine whether the developed empirical equation could be used to evaluate future samples (Nakawajana et al, 2018). The predicted values for the DM and SC were calculated as follows:…”

Section: Estimation Of Dm and Sc For Unknown Samplesmentioning

confidence: 99%

Modified specific gravity method for estimation of starch content and dry matter in cassava

Maraphum

Saengprachatanarug

Wongpichet

et al. 2021

Heliyon

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An empirical model for the estimation of starch content (SC) and dry matter (DM) in cassava tubers was developed as an alternative method to polarimetry and dry oven. These improved estimation equations were developed based on the specific gravity (SG) method. To improve accuracy, the one hundred-seventy-four sample were obtained from four commercial varieties of cassava in Thailand including KU50, CMR38-125-77, RY9 and RY11, respectively. The age of sample collected from four to twelve months after planting was used in this experiment. The empirical model was created from their relationships between SG obtained from small sample size (~100 g) and its SC and DM. The SG for cassava was strongly correlated with the SC and DM, with values for the coefficient of determination (R 2 ) of 0.81 and 0.83, respectively. The SC showed a high correlation with the DM, with R 2 of 0.96. To confirm that the empirical model was effective when applied to other samples, unknown samples collected from another area were tested, and the results showed a standard error of prediction (SEP) of 1.02%FW and 3.49%, mean different (MD) of -0.66%FW, -0.89% for the SC and DM, respectively. Hence, our empirical equation based on a modified SG method could be used to estimate the SC and DM in cassava tubers. It can help breeders to reduce costs and time requirements. Moreover, breeders could be used the methods to evaluate the SC and DM from the tuber formation to harvesting stage and monitoring the changes in SC and DM during breeding.

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Section: Estimation Of Dm and Sc For Unknown Samplesmentioning

confidence: 99%

Modified specific gravity method for estimation of starch content and dry matter in cassava

Maraphum

Saengprachatanarug

Wongpichet

et al. 2021

Heliyon

Self Cite

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“…Meanwhile, NCV is determined using a calculation method [10,11] with theoretical function of the GCV by subtraction from moisture content (MC) as follows [12]: NCV wb = GCV wb − 2.443 × MC% (1) where NCV wb is the lower heating value (MJ/kg) and GCV wb is the higher heating value (MJ/kg). GCV is expressed on a wet weight basis (MJ/kg).…”

Section: Calorific Valuementioning

confidence: 99%

“…Nakawajana et al [11] predicted the HHV, LHV, and ash of milled rice husk using FT-NIR spectroscopy. Illustrations of pure cellulose, lignin, and sample spectrum are displayed in Figure 7.…”

Section: Proximate Analysis and Calorific Valuementioning

confidence: 99%

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Rapid Evaluation of Biomass Properties Used for Energy Purposes Using Near-Infrared Spectroscopy

Posom¹,

Maraphum²,

Phuphaphud³

2021

Renewable Energy - Technologies and Applications

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The parameters corresponding to combustion and pyrolysis such as proximate parameter (emissions), calorific value, elemental component, pyrolysis characteristics (temperature), and thermal properties are necessary to the thermal conversion process and the trading of biomass. Traditionally, these parameters of wood chips, milled wood, and biomass pellets are determined with chemicals, time-consuming, and required technical experts, such as thermogravimetry, bomb calorimetry, dry oven, muffle furnace, and so on. The near-infrared (NIR) spectroscopy is a rapid, noncontact no-chemical measurement. For NIR spectroscopy, only 2-3 seconds are used for evaluation, and it could be used for online measurement. The application of NIR spectroscopy in the estimation of the biomass characteristics of wood chips, milled wood, and biomass pellets is described in this chapter.

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“…Moisture content (MC) is the main factor negatively impacting the combustion process [9]. High MC levels reduced the energy potential of SB during combustion [7], and a high MC in SB also required a high amount of energy to release water [7].…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost System for Moisture Content Detection of Bagasse upon a Conveyor Belt with Multispectral Image and Various Machine Learning Methods

et al. 2021

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This research aimed to propose an online system based on multispectral images for the real-time estimation of the moisture content (MC) of sugarcane bagasse. The system consisted of a conveyor belt, four halogen bulbs, and a multispectral camera. The MC models were developed using machine learning algorithms, i.e., multiple linear regression (MLR), principal component regression (PCR), artificial neural network (ANN), PCA-ANN, Gaussian process regression (GPR), PCA-GPR, random forest regression (RFR), and PCA-GPR. The models were developed using 150 samples (calibration set) meanwhile the remaining 50 samples were applied as a validation set. The comparison of all developed models showed that the PCA-RFR model achieved better detection with a higher accuracy of MC prediction. The PCA-RFR model showed the best results which were a coefficient of determination of prediction (r2) 0.72, root mean square error of prediction (RMSEP) 11.82 wt%, and a ratio of the standard error of prediction to standard deviation (RPD) of 1.85. The results show that this technique was very useful for MC rapid screening of the sugarcane bagasse.

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The Prediction of Higher Heating Value, Lower Heating Value and Ash Content of rice Husk Using FT-NIR Spectroscopy

Cited by 17 publications

References 28 publications

Modified specific gravity method for estimation of starch content and dry matter in cassava

Modified specific gravity method for estimation of starch content and dry matter in cassava

Rapid Evaluation of Biomass Properties Used for Energy Purposes Using Near-Infrared Spectroscopy

A Low-Cost System for Moisture Content Detection of Bagasse upon a Conveyor Belt with Multispectral Image and Various Machine Learning Methods

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