scholarly journals A generic method for energy-efficient and energy-cost-effective production at the unit process level

2016 ◽  
Vol 113 ◽  
pp. 508-522 ◽  
Author(s):  
Xu Gong ◽  
Toon De Pessemier ◽  
Wout Joseph ◽  
Luc Martens
2015 ◽  
Vol 14 (7) ◽  
pp. 1487-1494 ◽  
Author(s):  
Marco Arnesano ◽  
Gian Marco Revel ◽  
Filippo Pietroni ◽  
Jurgen Frick ◽  
Manuela Reichert ◽  
...  

2015 ◽  
Vol 292 ◽  
pp. 87-94 ◽  
Author(s):  
David Lloyd ◽  
Eva Magdalena ◽  
Laura Sanz ◽  
Lasse Murtomäki ◽  
Kyösti Kontturi

2020 ◽  
Vol 177 ◽  
pp. 03004
Author(s):  
Vladimir Makarov ◽  
Nikolai Makarov ◽  
Alexandr Lifanov ◽  
Artem Materov ◽  
Nikolay Kosarev

Competitive growth of enterprises in the mining and oil and gas industries of the Russian economy, combined with industrial safety requirements, updates the task of developing the design and production methodology for the aerodynamically adaptive turbomachines with a nature-like dominance. Such machines adequately and economically soundly establish the necessary parameters of the air environment in the technological space that implement the concept of optimal subsurface management ecotechnology. This article proposes a production methodology for the energy-efficient turbomachines using the aerodynamic adaptability criterion that determines the relations between the velocity circulation and flow acceleration around the vane cascade profiles as the nature-like dominance of the process for converting the mechanical rotational energy of impeller into the internal energy of the air flow. The Karman theory of bound and free vortices, the Chaplygin-Joukowski-Kutta hypothesis, the conformal mapping method, and curve irregularities are used for development of a mathematical model for controlling the aerodynamic adaptability. It is proved that the control dominant is the intensity of the sources distributed over the turbomachine impeller vane profile that determine the flow diffusivity and as a result the acceleration circulation around the profile. It has been experimentally confirmed that the use of profiles obtained using the proposed technique increases the aerodynamic adaptability coefficient of the turbomachine by 51%, while increasing the area of its cost-effective performance by at least 2 times.


Author(s):  
Anju Gupta ◽  
R K Bathla

With so many people now wearing mobile devices with sensors (such as smartphones), utilizing the immense capabilities of these business mobility goods has become a prospective skill to significant behavioural and ecological sensors. A potential challenge for pervasive context assessment is opportunistic sensing, has been effectively used to a wide range of applications. The sensor cloud combines cloud technology with a wireless sensor, resulting in a scalable and cost-effective computing platform for real-time applications. Because the sensor's battery power is limited and the data centre’s servers consume a significant amount of energy to supply storage, a sensor cloud must be energy efficient. This study provides a Fog-based semantic for enabling these kinds of technologies quickly and successfully. The suggested structure is comprised of fundamental algorithms to help set up and coordinate the fog sensing jobs. It creates effective multihop routes for coordinating relevant devices and transporting acquired sensory data to fog sinks. It was claimed that energy-efficient sensor cloud approaches were categorized into different groups and that each technology was examined using numerous characteristics. The outcomes of a series of thorough test simulation in NS3 to define the practicality of the created console, as well as the proportion of each parameter utilized for each technology, are computed.


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