scholarly journals Prospects for reducing energy consumption in zinc oxide technology

2021 ◽  
Vol 2131 (4) ◽  
pp. 042030
Author(s):  
I A Estrin
Keyword(s):  
Zinc Oxide ◽  
Energy Consumption ◽  
Technological Process ◽  
Exothermic Reaction ◽  
Industrial Process ◽  
Efficiency Factor ◽  
Metallic Zinc ◽  
Zinc Vapor ◽  
Reaction Heat ◽  
Reducing Energy

Abstract The heat-technological scheme for the production of zinc oxide from metallic zinc is considered. It is shown that the thermal efficiency factor of the existing industrial process is very low and is equal to 5%. The technological process thermodynamics analysis showed that the zinc vapor combustion exothermic reaction heat is sufficient to provide heat for all endothermic technology stages. The conditions and design of the installation, which make it possible to use this heat for all stages of the technological process, are considered. This provides an increase efficiency factor up to 44%.

Some Methods and Techniques for Optimizing Dimensional Processing Using Complex, Electrical and Electrochemical Erosion

2014 ◽  
Vol 657 ◽  
pp. 348-352
Author(s):  
Richard Herman ◽  
Mihaela Herman
Keyword(s):  
Energy Consumption ◽  
Technological Process ◽  
Optimization Methods ◽  
Energy Crisis ◽  
Whole Process ◽  
Methods And Techniques ◽  
Reducing Energy ◽  
Dimensional Processing

The optimization of complex, electrical and electrochemical erosion processing focuses on improving quality and reducing energy consumption while processing, considering the actual growing of the energy crisis. The technological process is considered to be a system and its components are considered to be subsystems. This paper contains an analysis of the optimization methods that can be applied to dimensional processing using complex, electrical and electrochemical erosion and states the optimization directions and methods that can be used in order to increase the performance of some of the components of the technological process (the subsystems) or of the whole process (the system).

A Hybrid Swarm Optimization Algorithm For Reducing Energy Consumption In The Cloud

2018 ◽  
Vol 11 ◽  
Author(s):  
Mohammed Mostafa Abdulghafoor ◽  
Raed Abdulkareem Hasan ◽  
Zeyad Hussein Salih ◽  
Hayder Ali Nemah Alshara ◽  
Nicolae Tapus
Keyword(s):  
Energy Consumption ◽  
Optimization Algorithm ◽  
Hybrid Swarm ◽  
Swarm Optimization ◽  
Reducing Energy

Increasing productivity and reducing energy consumption in the pizza industry by the synergetic combination of cooking technologies

2021 ◽  
Author(s):  
David Mastrascusa ◽  
Patricia Vázquez‐Villegas ◽  
José Ignacio Huertas ◽  
Esther Pérez‐Carrillo ◽  
Alejandro J. García‐Cuéllar ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Reducing Energy

Reducing energy consumption in SDN-based data center networks through flow consolidation strategies

2019 ◽  
Author(s):  
Marcelo da Silva Conterato ◽  
Tiago Coelho Ferreto ◽  
Fábio Rossi ◽  
Wagner dos Santos Marques ◽  
Paulo Silas Severo de Souza
Keyword(s):  
Energy Consumption ◽  
Data Center ◽  
Data Center Networks ◽  
Through Flow ◽  
Reducing Energy

Identifying Perceived Barriers and Benefits to Reducing Energy Consumption in an Affordable Housing Complex

2016 ◽  
Vol 22 (3) ◽  
pp. 159-178 ◽  
Author(s):  
Dan Reaves ◽  
Caroline M. Clevenger ◽  
MaryEllen Nobe ◽  
Patricia A. Aloise-Young
Keyword(s):  
Energy Consumption ◽  
Affordable Housing ◽  
Low Income ◽  
Perceived Barriers ◽  
Community Based ◽  
Target Behaviors ◽  
Housing Complex ◽  
Two Phases ◽  
Reduction Of Energy Consumption ◽  
Reducing Energy

Reduction of energy consumption in the affordable housing sector is highly impacted by human behavior. However, only limited behavior change research exists that is aimed at reducing energy consumption in this sector. This study seeks to implement the first two phases of the community-based social marketing (CBSM) framework in an affordable housing setting. The goals of the research are to identify the optimal behaviors for energy reduction and to identify the perceived barriers and benefits associated with those behaviors in a low-income housing facility. The results of this study identify five target behaviors along with their barriers and benefits. In addition, the study identifies potential issues and nuances in the CBSM process that researchers should take into consideration during future implementations of CBSM in affordable housing environments.

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