Green, energy-efficient preparation of CDs-embedded BiPO4 heterostructure for better light harvesting and conversion

2020 ◽  
Vol 391 ◽  
pp. 123551 ◽  
Author(s):  
Qing Chang ◽  
Wenliang Yang ◽  
Fu Li ◽  
Chaorui Xue ◽  
Huiqi Wang ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Light Harvesting ◽  
Green Energy

scholarly journals Mathematical modelling of renewable construction materials for green energy-efficient buildings at permafrost regions of Russia

2021 ◽  
pp. 100101
Author(s):  
Nikolay Aleksandrovich Tsvetkov ◽  
Aleksandr Vital'yevich Tolstykh ◽  
Andrey Nikolaevich Khutornoi ◽  
Stanislav Boldyryev ◽  
Anna Vladimirovna Kolesnikova ◽  
...  
Keyword(s):  
Mathematical Modelling ◽  
Energy Efficient ◽  
Construction Materials ◽  
Green Energy ◽  
Energy Efficient Buildings ◽  
Regions Of Russia ◽  
Permafrost Regions

scholarly journals Light-driven fine chemical production in yeast biohybrids

Science ◽  
2018 ◽  
Vol 362 (6416) ◽  
pp. 813-816 ◽  
Author(s):  
Junling Guo ◽  
Miguel Suástegui ◽  
Kelsey K. Sakimoto ◽  
Vanessa M. Moody ◽  
Gao Xiao ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Rational Design ◽  
Light Harvesting ◽  
Shikimic Acid ◽  
Genetically Engineered ◽  
Efficient Production ◽  
Chemical Production ◽  
Photogenerated Electrons ◽  
Common Precursor ◽  
Hybrid Platform

Inorganic-biological hybrid systems have potential to be sustainable, efficient, and versatile chemical synthesis platforms by integrating the light-harvesting properties of semiconductors with the synthetic potential of biological cells. We have developed a modular bioinorganic hybrid platform that consists of highly efficient light-harvesting indium phosphide nanoparticles and genetically engineered Saccharomyces cerevisiae, a workhorse microorganism in biomanufacturing. The yeast harvests photogenerated electrons from the illuminated nanoparticles and uses them for the cytosolic regeneration of redox cofactors. This process enables the decoupling of biosynthesis and cofactor regeneration, facilitating a carbon- and energy-efficient production of the metabolite shikimic acid, a common precursor for several drugs and fine chemicals. Our work provides a platform for the rational design of biohybrids for efficient biomanufacturing processes with higher complexity and functionality.

Energy efficient task allocation and energy scheduling in green energy powered edge computing

2019 ◽  
Vol 95 ◽  
pp. 89-99 ◽  
Author(s):  
Lin Gu ◽  
Jingjing Cai ◽  
Deze Zeng ◽  
Yu Zhang ◽  
Hai Jin ◽  
...  
Keyword(s):  
Task Allocation ◽  
Energy Efficient ◽  
Green Energy ◽  
Edge Computing

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 ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Green Energy ◽  
Food Wastes

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

A Green energy-efficient scheduler for cloud data centers

2018 ◽  
Vol 22 (S2) ◽  
pp. 3247-3259 ◽  
Author(s):  
Mohammed Amoon ◽  
Tarek E. El. Tobely
Keyword(s):  
Energy Efficient ◽  
Data Centers ◽  
Green Energy ◽  
Cloud Data ◽  
Cloud Data Centers

Green Energy Model for Grid Resource Allocation

2014 ◽  
Vol 6 (2) ◽  
pp. 52-73 ◽  
Author(s):  
Achal Kaushik ◽  
Deo Prakash Vidyarthi
Keyword(s):  
Resource Allocation ◽  
Energy Efficient ◽  
Computational Grid ◽  
Energy Model ◽  
Green Energy ◽  
Energy Utilization ◽  
Theoretic Model ◽  
Performance Study ◽  
Characteristic Parameters ◽  
Grid Resource

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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