The review of power generation from integrated biomass gasification and solid oxide fuel cells: current status and future directions

K Abouemara, M Shahbaz, G Mckay, T Al-Ansari - Fuel, 2024 - Elsevier
The integration of biomass based gasification with power systems can enable carbon
neutral electricity. This study examines the power generation process from syngas derived …

A cascade hybrid PSO feed-forward neural network model of a biomass gasification plant for covering the energy demand in an AC microgrid

C Chiñas-Palacios, C Vargas-Salgado… - Energy Conversion and …, 2021 - Elsevier
Agriculture and forestry crop residues represent more than half of the world's residual
biomass; these residues turn into synthesis gas (syngas) and are used for power generation …

Artificial neural network and adaptive neuro-fuzzy interface system modelling to predict thermal performances of thermoelectric generator for waste heat recovery

KS Garud, JH Seo, CP Cho, MY Lee - Symmetry, 2020 - mdpi.com
The present study elaborates the suitability of the artificial neural network (ANN) and
adaptive neuro-fuzzy interface system (ANFIS) to predict the thermal performances of the …

[HTML][HTML] Comprehensive case study on heat transfer enhancement using micro pore metal foams: From solar collectors to thermo electric generator applications

JR Bose, S Manova, LG Asirvatham… - Case Studies in Thermal …, 2021 - Elsevier
Open cell metal foams also called as porous substrate, are found to be one of the best
contenders for enhancing the heat transfer rate, with added advantages of light weight and …

Review on nanofluids and machine learning applications for thermoelectric energy conversion in renewable energy systems

D Okulu, F Selimefendigil, HF Öztop - Engineering Analysis with Boundary …, 2022 - Elsevier
This review is about applications of nanofluids technology and different machine learning
algorithms on the potential improvement of system performance and computational …

Performance prediction of hybrid thermoelectric generator with high accuracy using artificial neural networks

AA Angeline, LG Asirvatham, DJ Hemanth… - Sustainable Energy …, 2019 - Elsevier
This paper presents the application of Artificial Neural Networks for the simulation of the
performance parameters of a hybrid thermoelectric generator, using the artificial neural …

Numerical Study on the Heat Transfer Characteristics of Cu-Water and TiO2-Water Nanofluid in a Circular Horizontal Tube

JR Bose, S Manova, AA Angeline, LG Asirvatham… - Energies, 2023 - mdpi.com
A numerical simulation of convective heat transfer coefficient (h conv) was studied with Cu-
Water and TiO2-Water nanofluids flowing through a circular tube subjected to uniform wall …

Feasibility of Glycerin/Al2O3 nanofluid for automotive cooling applications

KG Sundari, LG Asirvatham, E Ninolin… - Journal of Thermal …, 2020 - dergipark.org.tr
In this paper, the feasibility of glycerin/Al2O3 nanofluid for automotive cooling applications is
experimentally studied. The test setup includes an engine model and a car radiator and the …

[PDF][PDF] 4.2 RESEARCH STAYS

J Aguila‐Leon, C Chiñas‐Palacios… - … and Artificial Neural …, 2024 - riunet.upv.es
[19] L. Labib, M. Billah, GM Sultan Mahmud Rana, MN Sadat, MG Kibria, and MR
Islam,“Design and implementation of low-cost universal smart energy meter with demand …

GA− BP Prediction Model for Automobile Exhaust Waste Heat Recovery Using Thermoelectric Generator

F Li, P Sun, J Wu, Y Zhang, J Wu, G Liu, H Hu, J Hu… - Processes, 2023 - mdpi.com
Thermoelectric generator (TEG) has important applications in automotive exhaust waste
heat recovery. The Back propagation neural network (BP) can predict the electrical …