scholarly journals Energy footprint reduction in 5G reconfigurable hotspots via function partitioning and bandwidth adaptation

2017 ◽  
Author(s):  
Nikolaos Bartzoudis ◽  
Oriol Font-Bach ◽  
Marco Miozzo ◽  
Carlos Donato ◽  
Pavel Harbanau ◽  
...  
Keyword(s):  
Energy Footprint ◽  
Bandwidth Adaptation

The Old Dog Learns a New Trick: Wet Weather Trickling Filters Utilized to Manage C:N Ratio of Bioreactor Feed for Improved Energy Footprint at an Advanced BNR Facility

2017 ◽  
Vol 2017 (10) ◽  
pp. 2729-2734
Author(s):  
Tim Constantine ◽  
Carsten Steen ◽  
Søren Eriksen ◽  
Per Henrik Nielsen ◽  
Julian Sandino ◽  
...  
Keyword(s):  
C:N Ratio ◽  
Trickling Filters ◽  
Energy Footprint ◽  
Wet Weather

Estimating Household Travel Energy Consumption in Conjunction with a Travel Demand Forecasting Model

2017 ◽  
Vol 2668 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Venu M. Garikapati ◽  
Daehyun You ◽  
Wenwen Zhang ◽  
Ram M. Pendyala ◽  
Subhrajit Guhathakurta ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Urban Form ◽  
Travel Demand ◽  
Demand Forecasting ◽  
The United States ◽  
Metropolitan Region ◽  
Demand Model ◽  
Awareness Campaigns ◽  
Energy Footprint ◽  
Household Travel

This paper presents a methodology for the calculation of the consumption of household travel energy at the level of the traffic analysis zone (TAZ) in conjunction with information that is readily available from a standard four-step travel demand model system. This methodology embeds two algorithms. The first provides a means of allocating non-home-based trips to residential zones that are the source of such trips, whereas the second provides a mechanism for incorporating the effects of household vehicle fleet composition on fuel consumption. The methodology is applied to the greater Atlanta, Georgia, metropolitan region in the United States and is found to offer a robust mechanism for calculating the footprint of household travel energy at the level of the individual TAZ; this mechanism makes possible the study of variations in the energy footprint across space. The travel energy footprint is strongly correlated with the density of the built environment, although socioeconomic differences across TAZs also likely contribute to differences in travel energy footprints. The TAZ-level calculator of the footprint of household travel energy can be used to analyze alternative futures and relate differences in the energy footprint to differences in a number of contributing factors and thus enables the design of urban form, formulation of policy interventions, and implementation of awareness campaigns that may produce more-sustainable patterns of energy consumption.

Comparative Analysis of Parallel IFAS and ASP Reactors: Oxygen Transfer and Uptake, Nutrient Removal, Carbon and Energy Footprint

2011 ◽  
Vol 2011 (1) ◽  
pp. 485-502 ◽  
Author(s):  
Diego Rosso ◽  
Sarah E. Lothman ◽  
Alan L. Stone ◽  
Don Howard ◽  
W. James Gellner ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Nutrient Removal ◽  
Oxygen Transfer ◽  
Energy Footprint

Living Well Within Planetary Limits: is it possible? And what will it take?

2021 ◽  
Author(s):  
Julia Steinberger
Keyword(s):  
Energy Demand ◽  
Minimum Energy ◽  
Well Being ◽  
Research Community ◽  
Active Engagement ◽  
Low Carbon ◽  
Engineering Research ◽  
Living Well ◽  
Energy Footprint ◽  
Poor Outcomes

<p>This talk will report on the multiple research streams resulting from the Living Well Within Limits project. The Living Well Within Limits project investigates the energy requirements of well-being, from quantitative, participatory and provisioning systems perspectives. In this presentation, I will communicate individual and cross-cutting findings from the project, and their implications for the engineering research community. In particular, I will share our most recent results on global energy footprint inequality, implications of redistribution, as well as modelling the minimum energy demand that would provide decent living standards for everyone on earth by 2050. I will show that achieving low-carbon well-being, both from the beneficiary (“consumer”) and supply-chain (producer) sides, involves strong distributional and political elements. Simply researching this area from a technical, social or economic lens is insufficient to draw out the reasons for poor outcomes and most promising avenues for positive change. I thus argue for the active engagement of the research community.</p>

Intelligent Bandwidth Allocation of IPTV Streams with Bitstream Complexity Measures

2015 ◽  
pp. 1941-1961
Author(s):  
Sandro Moiron ◽  
Rouzbeh Razavi ◽  
Martin Fleury ◽  
Mohammed Ghanbari
Keyword(s):  
Bandwidth Allocation ◽  
Video Quality ◽  
Access Network ◽  
Temporal Coding ◽  
Wireless Access Networks ◽  
Core Network ◽  
Complexity Measures ◽  
Broadband Wireless ◽  
Logic Control ◽  
Bandwidth Adaptation

IPTV video services are increasingly being considered for delivery to mobile devices over broadband wireless access networks. The IPTV streams or channels are multiplexed together for transport across an IP core network prior to distribution across the access network. According to the type of access network, prior bandwidth constraints exist that restrict the multiplex data-rate. This paper presents a bandwidth allocation scheme based on content complexity to equalize the overall video quality of the IPTV sub-streams, in effect a form of statistical multiplexing. Bandwidth adaptation is achieved through a bank of bit-rate transcoders. Complexity metrics serve to estimate the appropriate bandwidth share for each stream, prior to distribution over a wireless or ADSL access network. These metrics are derived after entropy decoding of the input compressed bit-streams, without the delay resulting from a full decode. Fuzzy-logic control serves to adjust the balance between spatial and temporal coding complexity. The paper examines constant and varying bandwidth scenarios. Experimental results show a significant overall gain in video quality in comparison to a fixed bandwidth allocation.

Energy footprint controlled by urban demands: How much does supply chain complexity contribute?

Energy ◽  
2019 ◽  
Vol 183 ◽  
pp. 561-572 ◽  
Author(s):  
Shaoqing Chen ◽  
Feiyao Zhu ◽  
Huihui Long ◽  
Jin Yang
Keyword(s):  
Supply Chain ◽  
Energy Footprint
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