scholarly journals Spectral Optimization of White LED Based on Mesopic Luminance and Color Gamut Volume for Dim Lighting Conditions

2020 ◽  
Vol 10 (10) ◽  
pp. 3579 ◽  
Author(s):  
Hung-Chung Li ◽  
Pei-Li Sun ◽  
Yennun Huang ◽  
Ming Ronnier Luo
Keyword(s):  
Energy Consumption ◽  
Evaluation Model ◽  
White Led ◽  
Color Gamut ◽  
Ratio Increase ◽  
Theoretical Simulation ◽  
Lighting Conditions ◽  
Spectral Optimization ◽  
Human Eyes ◽  
Reducing Energy

The study aims to propose an approach of white LED spectral optimization based on mesopic luminance and color gamut volume for dim lighting conditions. Three optimal white LED spectra with relatively higher mesopic luminance and color gamut volume, the highest mesopic luminance, and the largest gamut volume are recommended for reducing energy consumption and enhancing color perception and recognition of human eyes. The theoretical simulation shows that the spectra with higher correlated color temperatures (CCT) and S/P-ratio increase the mesopic luminance and also extend the range of color gamut with the decreasing of lighting level. An evaluation model is developed to faster predict mesopic luminance, color gamut volume, and S/P ratio for lighting applications.

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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