Evidences of starch–microwave interactions under hydrolytic and pyrolytic conditions

2020 ◽  
Vol 22 (20) ◽  
pp. 7109-7118
Author(s):  
Iris K. M. Yu ◽  
Jiajun Fan ◽  
Vitaliy L. Budarin ◽  
Florent P. Bouxin ◽  
James H. Clark ◽  
...  

Superheating of starch substrates in microwaves helps to actualize a green, energy-efficient biorefinery of food wastes.

2021 ◽  
pp. 100101
Author(s):  
Nikolay Aleksandrovich Tsvetkov ◽  
Aleksandr Vital'yevich Tolstykh ◽  
Andrey Nikolaevich Khutornoi ◽  
Stanislav Boldyryev ◽  
Anna Vladimirovna Kolesnikova ◽  
...  

2019 ◽  
Vol 95 ◽  
pp. 89-99 ◽  
Author(s):  
Lin Gu ◽  
Jingjing Cai ◽  
Deze Zeng ◽  
Yu Zhang ◽  
Hai Jin ◽  
...  

2020 ◽  
Vol 391 ◽  
pp. 123551 ◽  
Author(s):  
Qing Chang ◽  
Wenliang Yang ◽  
Fu Li ◽  
Chaorui Xue ◽  
Huiqi Wang ◽  
...  

2018 ◽  
Vol 22 (S2) ◽  
pp. 3247-3259 ◽  
Author(s):  
Mohammed Amoon ◽  
Tarek E. El. Tobely

Author(s):  
Achal Kaushik ◽  
Deo Prakash Vidyarthi

The computational grid helps in faster execution of compute intensive jobs. Many characteristic parameters are intended to be optimized while making resource allocation for job execution in computational grid. Most often, the green energy aspect, in which one tries for better energy utilization, is ignored while allocating the grid resources to the jobs. The conventional systems, which propose energy efficient scheduling strategies, ignore other Quality of Service parameters while scheduling the jobs. The proposed work tries to optimize the energy in resource allocation to make it a green energy model. It explores how effectively the jobs submitted to the grid can be executed for optimal energy uses making no compromise on other desired related characteristic parameters. A graph theoretic model has been developed for this purpose. The performance study of the proposed green energy model has been experimentally evaluated by simulation. The result reveals the benefits and gives an insight for an energy efficient resource allocation.


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