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A Simple Prediction Model for Higher Heat Value of Biomass
Journal of Chemical & Engineering Data, 2016A simple prediction model, based on ultimate analysis of biomass which is leveraged to predict higher heating value (HHV), was proposed in this paper. In the literature there are two facts offering some bases for the study. One is that oxygen (O) content is not an accurate value in the calculation of the reductance degree as well as the heat of ...
Hongliang Qian +6 more
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Modeling of Agricultural Waste Higher Heating Value Based on Proximate Analysis
Advanced Engineering Forum, 2023A model of the higher heating value on a dry basis from the proximity analysis of agricultural wastes in Benin has been proposed in this article. This model was developed using agricultural residues such as shea shells and cakes, cotton and soybean stalks, corn cobs and peanut shells identified as part of the implementation of an experimental system ...
Alexandre Houemenou +8 more
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Calculation of higher heating values of fatty acids
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2016ABSTRACTVegetable oils and animal fats comprise of triglycerides which are formed by fatty acids. Some fatty acids, particularly those having the unsaturated bond are not easy to purify. For this reason, it is not possible to determine exactly the higher heating values (HHVs) of unsaturated fatty acids experimentally via the correct way.
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Calculation of higher heating values of biomass fuels
Fuel, 1997Abstract Calorific values (higher heating values, HHV) of 16 biomass samples obtained from different Turkish sources were determined experimentally and calculated from both ultimate and proximate analyses. The HHV (MJ kg−1) of the biomass samples as a function of fixed carbon (FC, wt%) was calculated from the following equation: HHV = 0.196(FC) + 14 ...
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Relationships Between Specific Gravities and Higher Heating Values of Petroleum Components
Petroleum Science and Technology, 2015The aim of this study was to estimate mathematical relationships between higher heating value (HHV) and specific gravity of petroleum fuels. The HHV is an important property defining the energy content of petroleum related fuels. The specific gravities of petroleum fuels generally range from 0.56 to 0.92 (based on the specific gravity of pure water is ...
A. Demirbas, K. Al-Ghamdi
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Biofuels, Bioproducts and Biorefining, 2020
The higher heating value (HHV) provides information about the quantity of energy contained in a fuel such as biomass. Correlations and models can be developed to predict biomass HHV quickly from other analysis data.
Joshua O. Ighalo +2 more
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The higher heating value (HHV) provides information about the quantity of energy contained in a fuel such as biomass. Correlations and models can be developed to predict biomass HHV quickly from other analysis data.
Joshua O. Ighalo +2 more
semanticscholar +1 more source
Relationships Proximate Analysis Results and Higher Heating Values of Lignites
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2008Abstract In this study, the higher heating values (HHVs) of 26 lignite samples were calculated by using the proximate and elemental analyses data. The proximate analysis results such as volatile materials (VM), fixed carbon (FC) and HHV and the elemental analysis results such as carbon (C), hydrogen (H), oxygen (O), nitrogen (N) and sulfur (S) were ...
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Higher heating value determination of wheat straw from Baja California, Mexico
Energy, 2016Wheat is one of the most cultivated grains internationally. In 2012, Mexico allocated 578,836 ha to this crop. In the Valley of Mexicali, Baja California, Mexico, wheat is the main crop with 72,206 ha in 2012. The crop generates about 527,103 t/year of wheat straw.
Gisela Montero +9 more
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Estimation of the higher heating value of biomass using proximate analysis
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2017The higher heating value (HHV) parameter of biomass is well known for its wide application in bioenergy industry and the economical study of energy resources.
Ebrahim Keybondorian +3 more
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International Journal of Coal Preparation and Utilization, 2020
This study aims to develop a globally valid prediction model for coal higher heating value (HHV). For the first time, the Gaussian process regression (GPR) method is performed to build the prediction model.
A. V. Akkaya
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This study aims to develop a globally valid prediction model for coal higher heating value (HHV). For the first time, the Gaussian process regression (GPR) method is performed to build the prediction model.
A. V. Akkaya
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