DocumentCode :
245442
Title :
Dual Power: Integrating Renewable Energy into Green Datacenters without Grid Tie Inverter
Author :
Xian Li ; Rui Wang ; Depei Qian
Author_Institution :
Sino-German Joint Software Instn., Beihang Univ., Beijing, China
fYear :
2014
fDate :
19-21 Dec. 2014
Firstpage :
272
Lastpage :
278
Abstract :
There has been growing concern about energy consumption and environmental impact of data centers. Some pioneers begin to power data centers with renewable energy to offset carbon footprint. However, it is challenging to integrate intermittent renewable energy into data center power system. Grid-tied system is widely deployed in renewable energy powered data centers. But the drawbacks (e.g. Harmonic disturbance and costliness) of grid tie inverter harass this design. Besides, the mixture of green load and brown load makes power management heavily depend on software measurement and monitoring, which often suffers inaccuracy. We propose Dual Power, a novel power provisioning architecture that enables green data centers to integrate renewable power supply without grid tie inverters. To optimize Dual Power operation, we propose two optimization schemes (LM and PS) under different data center operation scenarios. The experimental results show that Dual Power can be as efficient as grid-tied system. In contrast to previous works, Daul Power integrates renewable power at lower cost and maintains full availability of data center servers.
Keywords :
computer centres; energy consumption; environmental factors; invertors; power aware computing; power grids; renewable energy sources; brown load; data center power system; dual power; energy consumption; environmental impact; green data centers; green load; grid tie inverter; grid-tied system; intermittent renewable energy; power management; power provisioning architecture; renewable energy powered data centers; software measurement; software monitoring; Green products; Load modeling; Monitoring; Power supplies; Renewable energy sources; Servers; Switches; green computing; power management framework; power provisioning architecture; renewable energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-7980-6
Type :
conf
DOI :
10.1109/CSE.2014.79
Filename :
7023590
Link To Document :
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