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System and Process of Electric Energy Cogeration for Data Centers Environment Servers

by Fabiano Stingelin Cardoso
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 1
Year of Publication: 2018
Authors: Fabiano Stingelin Cardoso
10.5120/ijca2018917397

Fabiano Stingelin Cardoso . System and Process of Electric Energy Cogeration for Data Centers Environment Servers. International Journal of Computer Applications. 181, 1 ( Jul 2018), 30-38. DOI=10.5120/ijca2018917397

@article{ 10.5120/ijca2018917397,
author = { Fabiano Stingelin Cardoso },
title = { System and Process of Electric Energy Cogeration for Data Centers Environment Servers },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2018 },
volume = { 181 },
number = { 1 },
month = { Jul },
year = { 2018 },
issn = { 0975-8887 },
pages = { 30-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number1/29682-2018917397/ },
doi = { 10.5120/ijca2018917397 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:04:40.391855+05:30
%A Fabiano Stingelin Cardoso
%T System and Process of Electric Energy Cogeration for Data Centers Environment Servers
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 1
%P 30-38
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Reducing part of the energy consumption generated by servers in Data Centers, through the cogeneration, establishing a new application of clean and renewable energy generation. Much of the electrical consumption within Data Centers occurs above all due to the need to cool these rooms. It is intended therefore to present a change of this model by harnessing this heat, generating energy and for this reducing the consumption of the electricity grid. In addition, it is presented a mechanism which allows controlling the temperature of the processor, using heat sink and motor Stirling. The research is theoretical in essence and is applied based on the collection of heat by convection by the coolant normally used for the liquid cooling. Besides it will be numerically verified that the temperature difference between the heat generated by the electronic components and the refrigerant can be used as the working force of the Stirling engine which in its turn is connected to an electric generator. This work does not aim to exhaust the possibilities of the research on its aspect, rather it aims to disseminate knowledge and introduce the theme.

References
  1. FERLIN, E. P. The technological advancement of processors and their use by software. Revista da Vinci, v. 1, n. 1, p. 43–60, 2004.
  2. MARIN, P.S. Data Centers. Unraveling each step: concepts, design, infrastructure and energy efficiency. Ed. Érica, 2011.
  3. HAYWOOD, A.M. et al. Investigating a relationship among CPU and system temperatures, thermal power, and CPU tasking levels. In: 13th IEEE intersociety conference on thermal and thermomechanical phenomena in electronic systems (ITherm), San Diego, 2012.
  4. EBBERS, M. et al. The green data center: steps for the journey. 1. ed. IBM International Technical Support Organization, 2008.
  5. GROLL, E. et al. Mathematical modeling of scroll compressors—part I: compression modeling. International Journal of Refrigeration, v.25, pp. 731-750, 2002.
  6. DAI, J., DAS, D., PECHT, M. Prognostics-based health management for free air cooling of data centers. Applied Energy, v. 99, pp. 423-429, 2012.
  7. ALMOLI, A. et al. Computational fluid dynamic investigation of liquid rack cooling in data centers. Applied Energy, v. 89, pp. 150 – 155, 2012.
  8. PATEL, C. et al. Computational fluid dynamics modeling of high compute density data centers to assure system inlet air specification. In: Proceedings of the Pacific Rim/ASME international electronics packaging technical conference and exhibition (InterPACK), Kauai, Hawaii, 2001.
  9. BOUCHER, T. et al. Viability of dynamic cooling control in a data center environment. Controls and Information Technology, EP-04-1163, BASH, 2006.
  10. BEJAN, A., ERRERA, M. Deterministic tree networks for fluid flow: geometry for minimal flow resistance between a volume and one point. Fractals, v. 05, n. 04, p. 685-695, 1997.
  11. BUCCI, A. et al. Water single-phase fluid flow and heat transfer in capillary tubes. In: 1st International Conference on Microchannels and Minichannels, pp. 319-326, January 1st, 2003.
  12. BIZARRIAS, W. Effects of cooling system pressure and ethylene glycol concentration on the cavitation characteristics of an automotive water pump. 2008. 136 f. Dissertation (Master in Mechanical Engineering) - Polytechnic School. University of São Paulo, São Paulo, 2008.
  13. OLIVEIRA, Rony. Heat Transfer Analysis of Thermal Fluids added with Ethylene Glycol and Polymers. Natal, RN. Dissertation (master's degree) - Federal University of Rio Grande do Norte, Technology Center, 2016.
  14. INCROPERA, F.P.; DEWITT, D.P. Fundamentals of Heat and Mass Transfer, 6th edition, LTC - Technical and Scientific Books Publisher S. A., R. J. 2015.
  15. IBM Corporation. Power system site preparation and physical planning. Edition applies to IBM Power Systems, 2009.
  16. PHILLIPS, R. Forced convection, liquid cooled, microchannel heat sinks. MS Thesis, [s.l.] Massachusetts Institute of Technology, 1987.
  17. SCHMIDT, G. Theorie der Lehmannschen calorischen maschine. Zeit Des Vereines deutsch Ing, v. 15 (1-12), pp. 97–112, 1871.
  18. ARAGÓN-GONZÁLEZ, G. et al. Developing and testing low cost LTD Stirling engines. Revista Mexicana de Física, v. 59 (1), pp. 199 – 203, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Energy Consumption Data Centers Heat Sink Motor Stirling Electric Generator.

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