Design and control of biodiesel production processes with phase split and recycle in the reactor system

2011 ◽  
Vol 42 (5) ◽  
pp. 741-750 ◽  
Author(s):  
Yin Heng Shen ◽  
Jian Kai Cheng ◽  
Jeffrey D. Ward ◽  
Cheng Ching Yu
2019 ◽  
Vol 272 ◽  
pp. 379-388 ◽  
Author(s):  
Lalit R. Kumar ◽  
Sravan Kumar Yellapu ◽  
Xiaolei Zhang ◽  
R.D. Tyagi

Author(s):  
Margarita Postnova ◽  
Aleksey Sklyar

Currently, powerful modern poultry farms require built-in logistics with an optimized structure of control and management. Such a system requires formalization and ranking, responding to the tasks of specific divisions of enterprises and poultry farms in general. The analysis of the robots on the Russko-Vysotskaya site shows positive results when the Big Dutchman company introduced the BigFarmNet Manager and AMAKS systems for 11 years of operation of this complex allowing to regulate and control the production processes of egg processing, feeding, drinking, to manage the microclimate of poultry houses in real time from the central office or from a portable personal computer using the Internet.


2020 ◽  
Vol 47 (11) ◽  
pp. 947-964 ◽  
Author(s):  
Carina L. Gargalo ◽  
Isuru Udugama ◽  
Katrin Pontius ◽  
Pau C. Lopez ◽  
Rasmus F. Nielsen ◽  
...  

AbstractThe biomanufacturing industry has now the opportunity to upgrade its production processes to be in harmony with the latest industrial revolution. Technology creates capabilities that enable smart manufacturing while still complying with unfolding regulations. However, many biomanufacturing companies, especially in the biopharma sector, still have a long way to go to fully benefit from smart manufacturing as they first need to transition their current operations to an information-driven future. One of the most significant obstacles towards the implementation of smart biomanufacturing is the collection of large sets of relevant data. Therefore, in this work, we both summarize the advances that have been made to date with regards to the monitoring and control of bioprocesses, and highlight some of the key technologies that have the potential to contribute to gathering big data. Empowering the current biomanufacturing industry to transition to Industry 4.0 operations allows for improved productivity through information-driven automation, not only by developing infrastructure, but also by introducing more advanced monitoring and control strategies.


2020 ◽  
Vol 109 (1) ◽  
pp. 116-133 ◽  
Author(s):  
Tapan K. Das ◽  
Linda O. Narhi ◽  
Alavattam Sreedhara ◽  
Tim Menzen ◽  
Christoph Grapentin ◽  
...  

2019 ◽  
Vol 113 ◽  
pp. 490-503 ◽  
Author(s):  
Valeria Casson Moreno ◽  
Enrico Danzi ◽  
Luca Marmo ◽  
Ernesto Salzano ◽  
Valerio Cozzani

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