Torrefaction of Bambara Groundnut Shell: experimental optimization and prediction of the energy conversion efficiency using statistical and machine learning approaches-Reference-Cited by-同舟云学术

Torrefaction of Bambara Groundnut Shell: experimental optimization and prediction of the energy conversion efficiency using statistical and machine learning approaches

Published:2023-11-28 Issue:1 Volume:45 Page:
ISSN:0143-0750
Container-title:International Journal of Ambient Energy
language:en
Short-container-title:International Journal of Ambient Energy

Author:

Oladosu Kamoru O.¹²,Babalola Simeon A.³⁴^ORCID,Ajao Rasaq K.²⁵,Erinosho Mutiu F.⁶

Affiliation:

1. Department of Mechanical Engineering, Kwara State University, Malete, Nigeria

2. Centre for Sustainable Energy, Kwara State University, Malete, Nigeria

3. CSIR-Central Mechanical Engineering Research Institute (CMERI), Durgapur, India

4. Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India

5. Department of Mechanical Engineering, University of Ilorin, Ilorin, Nigeria

6. Department of Mechanical and Industrial Engineering, University of Namibia, Windhoek, Namibia

Publisher

Informa UK Limited

Subject

Building and Construction,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/01430750.2023.2277309

Reference61 articles.

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3. High-performance prediction of macauba fruit biomass for agricultural and industrial purposes using Artificial Neural Networks

4. Process modeling and optimization for torrefaction of forest residues

5. Relationship between Torrefaction Parameters and Physicochemical Properties of Torrefied Products Obtained from Selected Plant Biomass