scholarly journals Information Technology and U.S. Energy Consumption: Energy Hog, Productivity Tool, or Both?

2008 ◽  
Vol 6 (2) ◽  
pp. 13-24 ◽  
Author(s):  
John A. “Skip” Laitner
Keyword(s):  
Information Technology ◽  
Energy Consumption ◽  
Consumption Energy

Design and Implementation of the Chip for Energy Consumption and Energy Conservation and Pollution Reduction

2015 ◽  
Vol 738-739 ◽  
pp. 1262-1265
Author(s):  
Yuan Hua Chen ◽  
Li Na Zhang ◽  
Jie Li
Keyword(s):  
Information Technology ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Pollution Reduction ◽  
Sensitive Data ◽  
Security Issues ◽  
On Line ◽  
Consumption Energy ◽  
The Government ◽  
Compatibility Standards

With the development of information technology, computer and network have been widely applied into the area of energy consumption, energy conservation and pollution reduction. Information technology brings convenience into energy conservation and environment protection management, but at the same time, it also brings security issues. In the area of energy consumption, a lot of sensitive data related to national economy and society are on-line collected. Once data theft, it will bring immeasurable losses. Furthermore, data transmission between the existing energy consumption monitoring equipment and platform has no unified interface or standard. So this paper designed a chip, used as core chip in gateway, for compatibility, standards and safety during transmission, which will provide hardware and technical support for the government and enterprises to carry out monitoring of energy consumption and conservation, to achieve energy conservation and emissions reduction targets.

scholarly journals Collecting Malware in Swiss German University with Low Energy and Cost Computer

2018 ◽  
Vol 5 (2) ◽  
pp. 85-91
Author(s):  
Mario Marcello
Keyword(s):  
Information Technology ◽  
Energy Consumption ◽  
Low Cost ◽  
Low Energy ◽  
Raspberry Pi ◽  
Swiss German ◽  
Low Energy Consumption

The malware spreads massively in Indonesia. The security in Information Technology doesn’t seem to become a top priority for Indonesian. The use of pirated software is still high, although it is the biggest threat and entrance for the malwares to attacks. This paper shows how to collect a spreading malware in a system to know the malware trends that exist. So, the owner may know the malware trends inside his system and he can countermeasure the attacks. To collect the malwares, I use the Dionaea, the honeypot to collect malware and implement it to Raspberry Pi. Raspberry Pi is a small, low cost and low energy consumption computer. By using Raspberry Pi to collect malware, we can minimize budget, save the energy and space.

Are Crypto-Assets Green Enough? – An analysis of draft EU Regulation on markets in crypto assets from the perspective of the European Green Deal

2021 ◽  
Vol 67 (2) ◽  
pp. 237-250
Author(s):  
Emanuel Wanat
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Resource Use ◽  
Growth Strategy ◽  
Environmental Footprint ◽  
Current Effect ◽  
Consensus Protocol ◽  
Consumption Energy ◽  
Competitive Economy ◽  
The Eu

In 2019 European Commission announced “The European Green Deal” a “a new growth strategy that aims to transform the EU into a fair and prosperous society, with a modern, resource-efficient and competitive economy where there are no net emissions of greenhouse gases in 2050 and where economic growth is decoupled from resource use”. The digital sector must also participate in the Green Deal effort. This articles analyzes questions of sustainability in the context of crypto assets, with particular emphasis on the question of whether Bitcon acutally represent a crypto asset, energy consumption, energy drain, the proof-of-work consensus protocol, the environmental footprint of crypto assets. The article concludes that Bitcoin’s current effect on environment remains controversial at best.

Energy-Efficient Cooperative Spectrum Sensing for Cognitive Radio Networks

2015 ◽  
pp. 100-121
Author(s):  
Saud Althunibat ◽  
Sandeep Narayanan ◽  
Marco Di Renzo ◽  
Fabrizio Granelli
Keyword(s):  
Energy Consumption ◽  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Cooperative Spectrum Sensing ◽  
High Energy ◽  
Radio Networks ◽  
Participation Decision ◽  
Consumption Energy ◽  
Fusion Centre

One of the main problems of Cooperative Spectrum Sensing (CSS) in cognitive radio networks is the high energy consumption. Energy is consumed while sensing the spectrum and reporting the results to the fusion centre. In this chapter, a novel partial CSS is proposed. The main concern is to reduce the energy consumption by limiting the number of participating users in CSS. Particularly, each user individually makes the participation decision. The energy consumption in a CSS round is expected by the user itself and compared to a predefined threshold. The corresponding user will participate only if the expected amount of energy consumed is less than the participation threshold. The chapter includes optimizing the participation threshold for energy efficiency maximization. The simulation results show a significant reduction in the energy consumed compared to the conventional CSS approach.

scholarly journals Does Water, Waste, and Energy Consumption Influence Firm Performance? Panel Data Evidence from S&P 500 Information Technology Sector

2020 ◽  
Vol 17 (14) ◽  
pp. 5206
Author(s):  
Liliana Nicoleta Simionescu ◽  
Ștefan Cristian Gherghina ◽  
Ziad Sheikha ◽  
Hiba Tawil
Keyword(s):  
Information Technology ◽  
Energy Consumption ◽  
Firm Performance ◽  
Panel Data ◽  
Negative Impact ◽  
Total Energy Consumption ◽  
Technology Sector ◽  
Information Technology Sector ◽  
The Impact ◽  
Water Waste

This paper aimed to investigate the impact of water, waste, and energy consumption on firm performance for a sample of enterprises that belong to the S&P 500 Information Technology sector over the period of 2009–2020. The quantitative framework covered both accounting (e.g., return on assets—ROA; return on common equity—ROE; return on capital—ROC; return on invested capital—ROIC) and market-based measures of performance (e.g., price-to-book value—PB), alongside firm and corporate governance specific variables. By estimating multivariate panel data regression models, the empirical results provided support for a negative impact of total water use on PB but a positive effect on ROA. With reference to the total waste, the econometric outcomes revealed a negative influence on the entire selected performance measures, whereas total energy consumption did not reveal any statistically significant influence.

scholarly journals Effectiveness of Fixed-Bed Regenerators for Energy Recovery in Buildings Applications

2020 ◽  
Vol 172 ◽  
pp. 09001
Author(s):  
Hadi Ramin ◽  
Easwaran N. Krishnan ◽  
Carey J. Simonson
Keyword(s):  
Energy Consumption ◽  
Energy Recovery ◽  
Fixed Bed ◽  
High Ratio ◽  
Test Facility ◽  
Small Scale ◽  
Outdoor Air ◽  
Considerable Portion ◽  
Consumption Energy ◽  
Scale Test

Energy consumption for ventilation purposes in buildings makes up a considerable portion of HVAC energy consumption. Energy recovery ventilators (ERVs) can reduce the required energy to pre-condition outdoor air in winter and summer seasons. Due to the high ratio of heat transfer area to volume, Fixed-Bed Regenerators (FBRs) can reach high effectiveness up to 90%. However, limited research studies are available for FBRs in HVAC applications. In this paper, a small-scale test facility is used to determine the sensible effectiveness of a FBR. Furthermore, a numerical model is proposed and validated against the experimental results from the small-scale test facility. The numerical results for latent effectiveness have been compared with available data in the literature and the comparison shows a satisfactory agreement between numerical and results from the literature.

scholarly journals Dilution effect of the building area on energy intensity in urban residential buildings

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Jingxin Gao ◽  
Xiaoyang Zhong ◽  
Weiguang Cai ◽  
Hong Ren ◽  
Tengfei Huo ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Intensity ◽  
Energy Savings ◽  
Residential Buildings ◽  
Dilution Effect ◽  
Building Energy ◽  
Residential Energy ◽  
Stirpat Model ◽  
Building Area ◽  
Consumption Energy

Abstract Urban residential buildings make large contributions to energy consumption. Energy consumption per square meter is most widely used to measure energy efficiency in urban residential buildings. This study aims to explore whether it is an appropriate indicator. An extended STIRPAT model was used based on the survey data from 867 households. Here we present that building area per household has a dilution effect on energy consumption per square meter. Neglecting this dilution effect leads to a significant overestimation of the effectiveness of building energy savings standards. Further analysis suggests that the peak of energy consumption per square meter in China’s urban residential buildings occurred in 2012 when accounting for the dilution effect, which is 11 years later than it would have occurred without considering the dilution effect. Overall, overlooking the dilution effect may lead to misleading judgments of crucial energy-saving policy tools, as well as the ongoing trend of residential energy consumption in China.

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