Results 31 to 40 of about 9,534 (195)

Estimation of coal proximate analysis factors and calorific value by multivariable regression method and adaptive neuro-fuzzy inference system (ANFIS) [PDF]

open access: yesInternational Journal of Mining and Geo-Engineering, 2017
The proximate analysis is the most common form of coal evaluation and it reveals the quality of a coal sample. It examines four factors including the moisture, ash, volatile matter (VM), and fixed carbon (FC) within the coal sample.
Ali Behnamfard, Rasool Alaei
doaj   +1 more source

CALORIFIC PROPERTIES OF WASTES FROM SOME EXOTIC WOOD SPECIES [PDF]

open access: yesPro Ligno, 2016
This paper aims to present some results about the calorific properties of biomass wastes from exotic species used as fuels. There are presented the main characteristics of biomass energy, respectively the low and high calorific value, burning speed and
Aurel LUNGULEASA   +3 more
doaj  

The concept of measurement of calorific value of gaseous fuels [PDF]

open access: yesE3S Web of Conferences, 2020
The issue of measuring and determining the calorific value of fuels is related to thermodynamic analysis of the effects of the combustion process aimed at determining the amount of heat transferred to the environment. Currently, there are several methods
Markowski Jaroslaw   +7 more
doaj   +1 more source

Sustainable Manufacturing Platforms for Closed‐Cycle Bioeconomy Applications

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The transition to a circular bioeconomy requires innovative production platforms that prioritize sustainability, resource efficiency, and waste minimization. Organic waste from agriculture, aquaculture, and food production represents an underutilized feedstock for biomanufacturing, contributing to a circular economy.
Yelizaveta Chernysh   +2 more
wiley   +1 more source

Combined effect of increasing the post‐reformer temperature and adding red mud as a secondary catalyst in the thermocatalytic reforming of digestate

open access: yesBiofuels, Bioproducts and Biorefining, EarlyView.
Abstract This work studies the combined effect of increasing the post‐reformer temperature and introducing red mud as a support catalyst in the thermocatalytic reforming (TCR®) of digestate. The TCR® method, developed by the Fraunhofer Institute for Environmental, Safety and Energy Technology UMSICHT (abbreviated as Fraunhofer UMSICHT), is an extension
Hillary Onyishi   +4 more
wiley   +1 more source

Calorific Value of the Degraded Stem Wood of Spruce Picea abies (L.)

open access: yesЛесной журнал
The popularity of bioenergy is increasing in the light of the development of the green economy and the desire to achieve carbon neutrality in production.
Olga N. Tyukavina   +5 more
doaj   +1 more source

Ash Content vs. the Economics of Using Wood Chips for Energy: Model Based on Data from Central Europe

open access: yesBioResources, 2017
Biomass utilization is vital for developing sustainability in the bioenergy sector. In this work the effects of high ash content on the heating properties of wood chips were evaluated.
Martin Lieskovský   +3 more
doaj   +1 more source

The effect of adding rice straw charcoal to the processing of bio-pellet from cacao pod husk

open access: yesAdvances in Food Science, Sustainable Agriculture, and Agroindustrial Engineering, 2020
Cacao pod husk and rice straw charcoal are potentially transformed into bio-pellet because of their high calorific value. Cocoa pod husk and rice straw charcoal has a calorific value of 4974.837 cal/g and 3569.837 cal/g, respectively. This research aimed
Retno Damayanti,   +2 more
doaj   +1 more source

Locking Ni Atoms in Ordered PtNi for Durable Hydrogen Production: From Electrocatalyst Design to Practical AEMWE Stack Validation

open access: yesCarbon Energy, EarlyView.
DFT‐guided atomic ordering of PtNi intermetallic catalysts enhances HER activity and durability by optimizing hydrogen adsorption and increasing dissolution potential. Experimental validation from half‐cell to practical AEMWE stack demonstrates outstanding performance with less than 2% degradation over 3,000 h.
Song Jin   +14 more
wiley   +1 more source

Coal Calorific Value Prediction via Multi-View Transformer

open access: yesSensors
Accurate measurement of coal calorific value is critical for efficient power generation. To address the limitations of conventional models on large-scale, heterogeneous datasets, this study proposes a novel deep learning framework, the Multi-View ...
Donglian Zhang   +7 more
doaj   +1 more source

Home - About - Disclaimer - Privacy