Results 171 to 180 of about 12,319 (196)
Prediction of higher heating value (HHV) based on the structural composition for biomass
Abstract Higher heating values (HHV), as well as carbon, hydrogen, sulphur, nitrogen, chlorine, ash, lignin and extractives contents have been experimentally determined for initial, extractives free, extractives and lignin free samples of pine, alder and rape straw.
Yury Maksimuk +4 more
exaly +4 more sources
Abstract In order to evaluate the potential and make a technical assessment of biomass energy, it is crucial to determine the higher heating value (HHV) of biomass fuels. Thus, multilayer perceptron artificial neural network (MLP-ANN) genetic algorithm-adaptive neuro fuzzy inference system (GA-ANFIS) differential evolution-ANFIS (DE-ANFIS), GA-radial
Amir Dashti +5 more
exaly +7 more sources
Abstract With increasing interest in renewable energy sources, particularly on biomass, and on the technologies to transform them into liquids fuels comes the need to assess its properties. One of the processes that can convert biomass into liquid fuel, bio-oil, is thermochemical liquefaction.
Maria Margarida Mateus +2 more
exaly +4 more sources
What correlation is appropriate to evaluate biodiesels and vegetable oils higher heating value (HHV)? [PDF]
Abstract The heating value is one of the most important properties of animal fats, vegetable oils and biodiesels for their use as fuels in stead of petroleum. There are lots of formulae or correlations encountered in the literature to evaluate biomass fuels’ higher heating value (HHV).
Fassinou, Wanignon Ferdinand +3 more
exaly +4 more sources
Higher heating value (HHV) is an important property of a fuel, especially for vegetable oils, fats and their derivatives which are intended to replace petroleum fuels. There are lots of methods to evaluate the HHV of a fuel. In this paper, the HHV of vegetable oils, fats and their derivatives (biodiesels) is calculated by using the HHV of their pure ...
Wanignon Ferdinand Fassinou
exaly +4 more sources
Abstract The higher heating value (HHV) of biomass fuels is a crucial factor in the techno-economic analysis and subsequent development of bioenergy projects. In this study, iterative neural network-adapted partial least squares (INNPLS) was applied to estimate the HHV of biomass fuels as a function of fixed carbon (FC), volatile matters (VM), and ...
Soleiman Hosseinpour +3 more
exaly +4 more sources
Biomass is an important renewable energy source and studies on its properties help determine the suitable choice of process to harness this energy for a specific biomass type. Higher heating value (HHV) is a measure of the biomass energy content, and recent studies have now focused on non-empirical techniques of predicting it. The aim of this study was
Joshua O. Ighalo +2 more
openaire +2 more sources
Date palm biomass can be considered as an alternative to conventional energy combined with other renewable energy sources in the oasis. Its energy recovery requires a precise knowledge of its energy rate potential represented by its calorific value. Relationships of ultimate and proximate analysis of date palm biomass with higher heating value (HHV ...
Bousdira Khalida +5 more
openaire +2 more sources
Estimation of higher heating value (HHV) is one of the basic step in performance modeling and calculations of thermal systems. The HHV of liquid fuels is determined experimentally, which is time consuming and expensive. From literature survey it is observed that the HHV of most of the liquid fuel is a function of viscosity. In this paper an equation is
Lokesh Ashok Khairnar +1 more
openaire +2 more sources
Abstract In this study, a novel iterative network-based fuzzy partial least squares coupled with principle component analysis (PCA-INFPLS) was proposed to predict the HHV of biomass fuels as a function of fixed carbon (FC), volatile matter (VM), and ash content.
Soleiman Hosseinpour +2 more
openaire +2 more sources

