Distillation is an energy-consuming process in the chemical industry. Optimizing operating conditions can reduce amount of energy consumed and improve efficiency processes. Herein, we developed a machine learning-based prediction model for distillation applied to optimization. The mainly used control temperature column. We that predicted according following procedure: (1) data collection; (2) characteristic extraction from collected learning time; (3) min–max normalization performance; (4)...

Domestic agro-byproduct potential in Korea is estimated to be approximately 4,018 × 103 tons of oil equivalent per year. Majority agro-byproducts are unused and discarded. These can potentially converted into solid fuel for value addition. The energy potentials fuels generally characterized by proximate analysis measuring calorific value; however, owing the use coal coke, both analyses could expensive time-consuming. Proximate via thermogravimetric a relatively low cost less time-consuming...

Interest in biomass has increased due to current environmental issues, and analysis is usually performed using element proximate analyses ascertain its fuel characteristics. Mainly, component prediction models have been developed based on analysis, yet few studies predicted components analysis. Hence, this study a model following the calorific value calculation. Analysis of Pearson’s correlation coefficient showed that volatile matter (VM) fixed carbon (FC) were positively correlated with...

Thermochemical processes employ heat to transform biomass into energy. In these processes, supply and type can affect the products, therefore understanding them is critical. Confirming changes directly requires time resources. Several hypotheses have been proposed explain changes. So, purpose of this work was investigate mass loss during thermochemical reactions utilising available kinetic parameters. This study comprised previously pyrolysed herbal agricultural (soybean pod, corncob), woody...

Emerging global environmental pollution issues have caused a reduction in coal utilization, leading to an increased research focus on biomass use as alternative. However, due the low heat values of biomass, studies this field are still progress. Biomass primarily comprises cellulose, hemicellulose, and lignin. To determine composition these three components, measurement methods recommended by TAPPI (Technical Association Pulp Paper Industry) NREL (National Renewable Energy Laboratory)...

This study was conducted to enhance the efficiency of chemical process systems and address limitations conventional methods through hyperparameter optimization. Chemical processes are inherently continuous nonlinear, making stable operation challenging. The often varies significantly with operator’s level expertise, as most tasks rely on experience. To move beyond constraints traditional simulation approaches, a new machine learning‐based model developed. utilizes recurrent neural network...

This study considers the possibility of utilizing agri-byproducts as energy sources via pelletization and torrefaction. Pellets were placed in a capsule torrefied an electrical furnace. Subsequently, they cooled for 30 min, their mass loss was measured. To investigate resulting changes fuel characteristics, ultimate proximate analyses performed, calorific values estimate water absorption pellets, hygroscopicity evaluations conducted. Based on experimental results, yield, lower heating value,...

Wood biomass is an alternative to fossil fuels. However, use has several limitations. Torrefaction, in which reduction conditions prevail overcome these limitations, been suggested. Here, torrefaction using different wood chips (Liriodendron tulipifera, Populus canadensis, Pinus rigida, and koraiensis) was conducted under oxygen-rich oxygen-lean determine the effects of oxygen. Torrefaction at 230–310 °C for 1 h. A mass yield difference 3.53–20.02% p (percentage point) observed between...

Results of a performance comparison study eight pitch extraction algorithms for noisy as well clean speech are presented. These the autocorrelation method with center clipping, modified simplified inverse filter tracking (SIFT) method, average magnitude difference function (AMDF) detection based on LPC filtering and AMDF, data reduction parallel processing cepstrum method. It has been found that algorithm uses an AMDF or yields relatively good than others. A detector clipped input signal is...

The worldwide interest in renewable energy has been growing over the last few decades because of environmental destruction and abnormal climate caused by use fossil fuel. Accordingly, demand to convert agricultural by-products that are discarded Korea bioenergy is increasing, but absence a collection system for low economic efficiency significant obstacles. This study referred literature previous studies selection can be practically utilized. Sweet potatoes, corn, beans, peppers, sesame...

Nepal, a country rich in biomass, still does not have any commercial pellet production plants and is wasting large amounts of agricultural crop residue. The current study showed that about 5.61 million tonnes (Mt) biomass the form pellets are potentially available from residues. brick cement industries could use these agro-pellets. Co-firing such play an important role reducing import volume coal minimize related environmental loadings.

Torrefaction is a pretreatment method for upgrading biomass into solid fuels. This study aimed to investigate the properties of agro-byproducts pretreated under different oxidative conditions at temperatures 210-290 °C 1 h determine optimal operating biomass. The mass yields lignocellulosic and herbaceous were 90.27-42.20% 92.00-45.50% 85.71-27.23% 88.09-41.58% reductive conditions, respectively. calorific value increased by approximately 0.14-9.60% 3.98-20.02%, Energy yield showed...

We developed an internal environment prediction model for smart greenhouses using machine learning models. Machine models were by finding certain rules based on the data obtained from target system and have advantage of various characteristics that are difficult to define theoretically. However, accuracy precision can change according structure (hyperparameters, algorithms, epoch) characteristics. In this study, analysis was performed collected weather The performance low when amount...