Next Article in Journal
Environmental Regulation, Government R&D Funding and Green Technology Innovation: Evidence from China Provincial Data
Next Article in Special Issue
First Approach to a Holistic Tool for Assessing RES Investment Feasibility
Previous Article in Journal
Relationship between Healthy Habits and Perceived Motivational Climate in Sport among University Students: A Structural Equation Model
Previous Article in Special Issue
Socio-Cultural Impact of Energy Saving: Studying the Behaviour of Elementary School Students in Greece
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Sustainability 2018, 10(4), 939; https://doi.org/10.3390/su10040939

Transforming Data Centers in Active Thermal Energy Players in Nearby Neighborhoods

Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania
*
Author to whom correspondence should be addressed.
Received: 22 January 2018 / Revised: 17 March 2018 / Accepted: 18 March 2018 / Published: 23 March 2018
Full-Text   |   PDF [9647 KB, uploaded 3 May 2018]   |  

Abstract

In this paper, we see the Data Centers (DCs) as producers of waste heat integrated with smart energy infrastructures, heat which can be re-used for nearby neighborhoods. We provide a model of the thermo-electric processes within DCs equipped with heat reuse technology, allowing them to adapt their thermal response profile to meet various levels of hot water demand. On top of the model, we have implemented computational fluid dynamics-based simulations to determine the cooling system operational parameters settings, which allow the heat to build up without endangering the servers’ safety operation as well as the distribution of the workload on the servers to avoid hot spots. This will allow for setting higher temperature set points for short periods of time and using pre-cooling and post-cooling as flexibility mechanisms for DC thermal profile adaptation. To reduce the computational time complexity, we have used neural networks, which are trained using the simulation results. Experiments have been conducted considering a small operational DC featuring a server room of 24 square meters and 60 servers organized in four racks. The results show the DCs’ potential to meet different levels of thermal energy demand by re-using their waste heat in nearby neighborhoods. View Full-Text
Keywords: data centers; waste heat re-use; thermal energy flexibility; thermal profile adaptation; neural networks; computation fluid dynamics data centers; waste heat re-use; thermal energy flexibility; thermal profile adaptation; neural networks; computation fluid dynamics
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Antal, M.; Cioara, T.; Anghel, I.; Pop, C.; Salomie, I. Transforming Data Centers in Active Thermal Energy Players in Nearby Neighborhoods. Sustainability 2018, 10, 939.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top