Neural network prediction of parameters of biomass ashes, reused within the circular economy frame

Innovative artificial neural network approach for integrated biogas – wastewater treatment system modelling: Effect of plant operating parameters on process intensification

(2020) P. Sakiewicz et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Ash behavior of various fuels: The role of the intrinsic distribution of ash species

(2019) Markus Reinmöller et al.   FUEL

Application of BP neural network to the prediction of coal ash melting characteristic temperature

(2019) Wang Liang et al.   FUEL

Modeling of ash agglomerating fluidized bed gasifier using back propagation neural network based on particle swarm optimization

(2018) Guang Li et al.   APPLIED THERMAL ENGINEERING

Effect of biomass ash addition on coal ash fusion process under CO 2 atmosphere

(2018) Yu-hong Qin et al.   FUEL

Prediction of ash fusion behavior from coal ash composition for entrained-flow gasification

(2018) Thulasi Sasi et al.   FUEL PROCESSING TECHNOLOGY

Determination of the optimal ratio of coal to biomass in the co-firing process: feed mixture properties

(2018) M. Sajdak et al.   International Journal of Environmental Science and Technology

A review of biomass ash properties towards treatment and recycling

(2018) Steven Voshell et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Prediction of ash-deformation temperature based on grey-wolf algorithm and support-vector machine

(2018) Haiping Xiao et al.   FUEL

Ash contents and ash-forming elements of biomass and their significance for solid biofuel combustion

(2017) Stanislav V. Vassilev et al.   FUEL

Coal ash content estimation using fuzzy curves and ensemble neural networks for well log analysis

(2017) Irdian Siregar et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY

Exploring the major factors affecting fly-ash concrete carbonation using artificial neural network

(2017) Yasmina Kellouche et al.   NEURAL COMPUTING & APPLICATIONS

Investigation of rye straw ash sintering characteristics and the effect of additives

(2016) Liang Wang et al.   APPLIED ENERGY

Ignition temperature and activation energy of power coal blends predicted with back-propagation neural network models

(2016) Jun Cheng et al.   FUEL

Prediction of properties of self-compacting concrete containing fly ash using artificial neural network

(2016) Omar Belalia Douma et al.   NEURAL COMPUTING & APPLICATIONS

Biomass combustion systems: A review on the physical and chemical properties of the ashes

(2016) L.J.R. Nunes et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Prediction of biomass ash fusion behaviour by the use of detailed characterisation methods coupled with thermodynamic analysis

(2015) T. Rizvi et al.   FUEL

Relationship between ash fusion temperatures of ashes from hard coal, brown coal, and biomass and mineral phases under different atmospheres: A combined FactSage™ computational and network theoretical approach

(2015) Markus Reinmöller et al.   FUEL

Prediction of tribological behaviour of rice husk ash reinforced aluminum alloy matrix composites using artificial neural network

(2015) S. D. Saravanan et al.   Russian Journal of Non-Ferrous Metals

Fusion and transformation properties of the inorganic components in biomass ash

(2013) Shenglei Du et al.   FUEL

An overview of the behaviour of biomass during combustion: Part II. Ash fusion and ash formation mechanisms of biomass types

(2013) Stanislav V. Vassilev et al.   FUEL

An Artificial Neural Networks Model for Predicting Permeability Properties of Nano Silica–Rice Husk Ash Ternary Blended Concrete

(2013) Alireza Najigivi et al.   International Journal of Concrete Structures and Materials

An overview of the composition and application of biomass ash. Part 1. Phase–mineral and chemical composition and classification

(2012) Stanislav V. Vassilev et al.   FUEL

An overview of the composition and application of biomass ash.

(2012) Stanislav V. Vassilev et al.   FUEL

Artificial neural networks for prediction compressive strength of geopolymers with seeded waste ashes

(2012) Ali Nazari   NEURAL COMPUTING & APPLICATIONS

Review of technology in small-scale biomass combustion systems in the European market

(2012) J.L. Míguez et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

The effect of halloysite additive on operation of boilers firing agricultural biomass

(2011) Kazimierz Mroczek et al.   FUEL PROCESSING TECHNOLOGY

Effect of fluorine and chlorine on slag melting characteristics: Experimental study and simulation by neural networks

(2011) Jianjie Qian et al.   THERMOCHIMICA ACTA

Kinetics of the continuous reaction crystallization of barium sulphate in BaCl2 - (NH4)2 SO4 - NaCl - H2O system - neural network model

(2010) Krzysztof Piotrowski et al.   Polish Journal of Chemical Technology

The physicochemical properties of different biomass ashes at different ashing temperature

(2010) Ruirui Xiao et al.   RENEWABLE ENERGY