The Optimal High Heating Value of the Torrefied Coconut Shells

Espina, Randell U.; Barroca, R B; Abundo, Michael Lochinvar S.

doi:10.48084/etasr.4931

Cited by 6 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Data on FC, VM, ash, and HHV were collected from the available database of scientific literature [30][31][32][33][34]. Data were collected in semi-structured form, and a total of 872 data points were used for modeling, with all missing data and duplicate values removed.…”

Section: Data Collection and Preprocessingmentioning

confidence: 99%

Biomass Higher Heating Value Estimation: A Comparative Analysis of Machine Learning Models

Brandić,

Pezo,

Voća

et al. 2024

Energies

View full text Add to dashboard Cite

The research conducted focused on the capabilities of various non-linear and machine learning (ML) models in estimating the higher heating value (HHV) of biomass using proximate analysis data as inputs. The research was carried out to identify the most appropriate model for the estimation of HHV, which was determined by a statistical analysis of the modeling error. In this sense, artificial neural networks (ANNs), support vector machine (SVM), random forest regression (RFR), and higher-degree polynomial models were compared. After statistical analysis of the modeling error, the ANN model was found to be the most suitable for estimating the HHV biomass and showed the highest specific regression coefficient, with an R2 of 0.92. SVM (R2 = 0.81), RFR, and polynomial models (R2 = 0.84), on the other hand, also exhibit a high degree of estimation, albeit with somewhat larger modelling errors. The study conducted suggests that ANN models are best suited for the non-linear modeling of HHV of biomass, as they can generalize and search for links between input and output data that are more robust but also more complex in structure.

show abstract

Section: Data Collection and Preprocessingmentioning

confidence: 99%

Biomass Higher Heating Value Estimation: A Comparative Analysis of Machine Learning Models

Brandić,

Pezo,

Voća

et al. 2024

Energies

View full text Add to dashboard Cite

show abstract

“…Biomass is a major source of alternative energy [1,2]. Utilization of biomass is normally conducted via thermal routes such as combustion, gasification and, slow pyrolysis [3,4].…”

Section: Introductionmentioning

confidence: 99%

Temperature Evolution and Heating Rates of Biomass undergoing Ablative Pyrolysis

Mankeed

Khuenkaeo

Malik

et al. 2023

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

The ablative reactor may be employed to enable fast pyrolysis to produce bio-oil from relatively large-sized biomass samples. Ablation mainly involves direct compressive force and conductive heat transfer between a hot surface and the biomass materials. Temperature evolution and heating rates are important operating factors in the biomass thermal conversion process. In this work, experimental and analytical investigations were carried out for different vertical dimensions of the biomass samples (2-20mm) and hot plate temperatures (400-550°C). It was shown that the thermal characteristics of the biomass were mainly affected by the transient conditions. It was observed that volatile release occurred during the transient heat transfer periods. It was found that at the maximum hot plate temperature of 550°C, the highest heating rate that could be achieved by ablation was more than 600°C/min.

show abstract

Preparation and characterization of coconut shell liquid smoke and the properties of preserving tofu

Gani,

Adlim,

Rahmayani

et al. 2024

Kuwait Journal of Science

View full text Add to dashboard Cite

The Optimal High Heating Value of the Torrefied Coconut Shells

Cited by 6 publications

References 23 publications

Biomass Higher Heating Value Estimation: A Comparative Analysis of Machine Learning Models

Biomass Higher Heating Value Estimation: A Comparative Analysis of Machine Learning Models

Temperature Evolution and Heating Rates of Biomass undergoing Ablative Pyrolysis

Preparation and characterization of coconut shell liquid smoke and the properties of preserving tofu

Contact Info

Product

Resources

About