A ZVZCS three-phase boost dc-dc converter distributing 400VDC in Telco and data centers to improve energy efficiency

2013 ◽  
Author(s):  
R. Verma ◽  
S. Gupta
Keyword(s):  
Energy Efficiency ◽  
Data Centers ◽  
Improve Energy Efficiency ◽  
Three Phase

WIRELESS SENSOR NETWORKS TO IMPROVE ENERGY EFFICIENCY IN DATA CENTERS

2021 ◽  
pp. 163-174
Author(s):  
Levente Klein ◽  
Sergio Bermudez ◽  
Fernando Marianno ◽  
Hendrik Hamann
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Centers ◽  
Wireless Sensor ◽  
Improve Energy Efficiency

scholarly journals The Numerical Simulation of the Airflow Distribution and Energy Efficiency in Data Centers with Three Types of Aisle Layout

2019 ◽  
Vol 11 (18) ◽  
pp. 4937 ◽  
Author(s):  
Jing Ni ◽  
Bowen Jin ◽  
Shanglei Ning ◽  
Xiaowei Wang
Keyword(s):  
Energy Efficiency ◽  
Power Consumption ◽  
Air Conditioning ◽  
Data Centers ◽  
Simulation Method ◽  
Cooling Capacity ◽  
Energy Utilization ◽  
Improve Energy Efficiency ◽  
Electricity Cost ◽  
Airflow Distribution

The energy consumption of fast-growing data centers is drawing attentions from not only energy organizations and institutions all over the world, but also charity groups, such as Greenpeace, and research shows that the power consumption of air conditioning makes up a large proportion of the electricity cost in data centers. Therefore, more detailed investigations of air conditioning power consumption are warranted. Three types of airflow distributions with different aisle layouts (the open aisle, the closed cold aisle, and the closed hot aisle) were investigated with Computational Fluid Dynamics (CFD) methods in a typical data center of four rows of racks in this study. To evaluate the results of thermal and bypass phenomenon, the temperature increase index (β) and the energy utilization index (ηr) were used. The simulations show that there is a better trend of the β index and ηr index both closed cold aisle and closed hot aisle compared with free open aisle. Especially with high air flow rate, the β index decreases and the ηr index increases considerably. Moreover, the results prove the closed aisles (both closed cold aisle and closed hot aisle) can not only significantly improve the airflow distribution, but also reduce the mixture of cold and heat flow, and therefore improve energy efficiency. In addition, it proves the design of the closed aisles can meet the increasing density of installations and our simulation method could evaluate the cooling capacity easily.

Energy Efficiency and Air Quality Considerations in Airside Economized Data Centers

2015 ◽  
Author(s):  
Levente J. Klein ◽  
Sergio A. Bermudez ◽  
Fernando J. Marianno ◽  
Hendrik F. Hamann ◽  
Prabjit Singh
Keyword(s):  
Energy Efficiency ◽  
Air Quality ◽  
Data Center ◽  
Data Centers ◽  
High Sensitivity ◽  
Air Cooling ◽  
Improve Energy Efficiency ◽  
Free Air ◽  
Recent Developments ◽  
Contamination Event

Many data center operators are considering the option to convert from mechanical to free air cooling to improve energy efficiency. The main advantage of free air cooling is the elimination of chiller and Air Conditioning Unit operation when outdoor temperature falls below the data center temperature setpoint. Accidental introduction of gaseous pollutants in the data center along the fresh air and potential latency in response of control infrastructure to extreme events are some of the main concerns for adopting outside air cooling in data centers. Recent developments of ultra-high sensitivity corrosion sensors enable the real time monitoring of air quality and thus allow a better understanding of how airflow, relative humidity, and temperature fluctuations affect corrosion rates. Both the sensitivity of sensors and wireless networks ability to detect and react rapidly to any contamination event make them reliable tools to prevent corrosion related failures. A feasibility study is presented for eight legacy data centers that are evaluated to implement free air cooling.

scholarly journals Strategies for Improving the Sustainability of Data Centers via Practical and Effective Measures Such as Changing Energy Mix, Enhancing Energy Efficiency, Reducing Energy Use, and Circular Energy or Recycling Energy

2021 ◽  
Author(s):  
Matteo Manganelli ◽  
Alessandro Soldati ◽  
Luigi Martirano ◽  
Seeram Ramakrishna
Keyword(s):  
Energy Efficiency ◽  
Information And Communication Technologies ◽  
Energy Use ◽  
Data Centers ◽  
Energy Resource ◽  
Communication Technologies ◽  
Improve Energy Efficiency ◽  
Thermal Limits ◽  
Research Perspectives ◽  
Information And Communication

Information and communication technologies (ICT) are increasingly permeating our daily life and we ever more commit our data to the cloud. Events like the COVID-19 pandemic put an exceptional burden upon ICT infrastructures. This involves implementation and utilization of data centers, which increasingly contribute to energy and environmental impact. In this work, we address strategies to improve energy efficiency of data centers, to enhance sustainability towards energy resource and the environment. Among key strategies are innovative cooling technologies, use of natural resources, automation techniques, low-power electronics, and equipment with extended thermal limits. Research perspectives are identified and estimates of improvement opportunities are presented.

scholarly journals Profile-Guided Three-Phase Virtual Resource Management for Energy Efficiency of Data Centers

2020 ◽  
Vol 67 (3) ◽  
pp. 2460-2468 ◽  
Author(s):  
Zhe Ding ◽  
Yu-Chu Tian ◽  
Maolin Tang ◽  
Yuefeng Li ◽  
You-Gan Wang ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Resource Management ◽  
Data Centers ◽  
Three Phase

Identifying Constraints Regarding Power Usage Effectiveness for Data Centers Engaging in Demand Response Programs

2013 ◽  
Vol 284-287 ◽  
pp. 3597-3603
Author(s):  
Cheng Jen Tang ◽  
Miau Ru Dai
Keyword(s):  
Energy Efficiency ◽  
Power Consumption ◽  
Demand Response ◽  
Data Center ◽  
Data Centers ◽  
Green Building ◽  
Power Demand ◽  
Leed Certification ◽  
Improve Energy Efficiency ◽  
Power Usage Effectiveness

Demand response (DR) is an important ingredient and regarded as the killer application of the emerging smart grid. The continuously growing energy consumption of data centers makes data centers promising candidates with significant potential for DR. Participating in DR programs makes data centers have another finical resource in addition to service income. On the other hand, some government organizations also offer considerable incentives to promote energy saving actions for facilities with some certain certifications. Leadership in Energy and Environmental Design (LEED) rating system developed by U.S. Green Building Council (USGBC) is one of the most popular certification systems. LEED uses Power Usage Effectiveness (PUE) as one of the metrics for quantifying how energy efficient a data center is. The goal of PUE is to improve energy efficiency of a data center. DR programs require participants to temporarily reduce their power demand on some occasions with little concern regarding energy efficiency. To enjoy incentives from LEED certification, data center administrators need to know whether the participation of DR hampers the established PUE of their facilities or not. This paper examines the power consumption models from prior studies, and identifies the constraints introduced by PUE for data centers participating in DR programs. The examination reveals that the ratios of static power consumption to the dynamic power demand range of different types of data center equipment do affect PUE while taking demand reduction efforts. With this finding, facility managers of data centers have a clear picture of what to expect from the DR participation, and what to adjust of their data center equipment.

Sign in / Sign up

Export Citation Format

Share Document