TY - JOUR
T1 - Experimental design and optimization of a novel solids feeder device in energy efficient pneumatic conveying systems
AU - Gomes de Freitas, Adriano
AU - dos Santos, Ricardo Borges
AU - Riascos, Luis Alberto Martinez
AU - Munive-Hernandez, Jose Eduardo
AU - Kuang, Shibo
AU - Zou, Ruiping
AU - Yu, Aibing
N1 - Funding Information:
The authors are grateful for the financial support of the National Council for Scientific and Technological Development (CNPq) at Federal university of ABC, Brazil, and at the Laboratory for Simulation and Modelling of Particulate Systems (SIMPAS), at ARC Hub for Computational Particle Technology, Department of Chemical and Biological Engineering, Monash University, Australia . Also, to the Erasmus+ Program at the University of Bradford, United Kingdom . All experiments were performed at Zeppelin Systems Latin America. We are also grateful for the technical training in the Zeppelin group’s units in São Bernardo do Campo/Brazil, Nottingham/The United Kingdom and its headquarters in Friedrichshafen/Germany.
Funding Information:
The authors would like to thank the Brazilian National Council for Scientific and Technological Development (CNPq) together with the Federal University of ABC , under Grants 140368/2018-3 (Industrial Doctorate - DAI), 163815/2018-6 (Energy Doctorate), and 200716/2020-4 (PhD exchange at Monash). Also, the Erasmus+ program of the European Union, at The University of Bradford .
Funding Information:
The authors are grateful for the financial support of the National Council for Scientific and Technological Development (CNPq) at Federal university of ABC, Brazil, and at the Laboratory for Simulation and Modelling of Particulate Systems (SIMPAS), at ARC Hub for Computational Particle Technology, Department of Chemical and Biological Engineering, Monash University, Australia. Also, to the Erasmus+ Program at the University of Bradford, United Kingdom. All experiments were performed at Zeppelin Systems Latin America. We are also grateful for the technical training in the Zeppelin group's units in São Bernardo do Campo/Brazil, Nottingham/The United Kingdom and its headquarters in Friedrichshafen/Germany. The authors would like to thank the Brazilian National Council for Scientific and Technological Development (CNPq) together with the Federal University of ABC, under Grants 140368/2018-3 (Industrial Doctorate - DAI), 163815/2018-6 (Energy Doctorate), and 200716/2020-4 (PhD exchange at Monash). Also, the Erasmus+ program of the European Union, at The University of Bradford . The funding sources are not involved in study design, data collection, analysis and interpretation of data, writing or deciding the submission for this study.
Publisher Copyright:
© 2023 The Author(s)
PY - 2023/9
Y1 - 2023/9
N2 - Pneumatic conveying of powders is an engineering process used for conveying dry granulate or powder material where energy consumption is a significant cost factor and contributes to greenhouse gas emissions. In this RD&I project, work was conducted to model pneumatic conveying and bulk characteristics of the particulate product being conveyed. Because pneumatic conveyance is highly empirical, general models are difficult to establish. Due to these limitations, evaluating energy efficiency is usually limited to a specific experimental range of conditions. This work is based on engineering optimization of a workflow with data from an industrial operation commanded by a Programmable Logic Controller (PLC) with a control algorithm, performing logical, sequential, and timed tasks for plant control. The PLC communicates with a Human–Machine Interface and a Supervision and Control System, which are the means of interaction through a graphical environment interface with the process operator. By applying mathematics to introduce a systematic method to select the gas (air) pressure and flow necessary to operate a pneumatic conveying system in dense phase mode, it has been shown, on an industrial scale of 10 t/h, the feasibility of controlling an efficient pneumatic conveying system manipulating only two input parameters. This allows operation at pre-determined conveying rates with lower operational expenditures. The same methodology can be explored for several other systems.
AB - Pneumatic conveying of powders is an engineering process used for conveying dry granulate or powder material where energy consumption is a significant cost factor and contributes to greenhouse gas emissions. In this RD&I project, work was conducted to model pneumatic conveying and bulk characteristics of the particulate product being conveyed. Because pneumatic conveyance is highly empirical, general models are difficult to establish. Due to these limitations, evaluating energy efficiency is usually limited to a specific experimental range of conditions. This work is based on engineering optimization of a workflow with data from an industrial operation commanded by a Programmable Logic Controller (PLC) with a control algorithm, performing logical, sequential, and timed tasks for plant control. The PLC communicates with a Human–Machine Interface and a Supervision and Control System, which are the means of interaction through a graphical environment interface with the process operator. By applying mathematics to introduce a systematic method to select the gas (air) pressure and flow necessary to operate a pneumatic conveying system in dense phase mode, it has been shown, on an industrial scale of 10 t/h, the feasibility of controlling an efficient pneumatic conveying system manipulating only two input parameters. This allows operation at pre-determined conveying rates with lower operational expenditures. The same methodology can be explored for several other systems.
KW - Energy efficiency
KW - Engineering design
KW - Industrial application
KW - Optimization
KW - Pneumatic conveying
UR - https://www.scopus.com/pages/publications/85162154784
U2 - 10.1016/j.egyr.2023.05.270
DO - 10.1016/j.egyr.2023.05.270
M3 - Article
AN - SCOPUS:85162154784
SN - 2352-4847
VL - 9
SP - 387
EP - 400
JO - Energy Reports
JF - Energy Reports
ER -
SDG 7 Affordable and Clean Energy