Using waste heat from data centers in different climate zones

BUILDER ◽  
2020 ◽  
Vol 272 (3) ◽  
pp. 56-59
Author(s):  
Piotr Narloch ◽  
Łukasz Rosicki

The article analyzes in which climatic zones the use of waste heat from data centers as a source of urban district heating would be the most efficient. The assessment methodology was based on a comparison of heat energy generated by servers with the demand for heating power in different climate zones. The analyzes carried out showed that the most appropriate climate zones for reusing waste heat from data centers are subpolar oceanic climate, colcold dessert climate and cold semi-arid climate.

2019 ◽  
Vol 10 (1) ◽  
pp. 291 ◽  
Author(s):  
Antonio Atienza-Márquez ◽  
Joan Carles Bruno ◽  
Alberto Coronas

The use of industrial excess heat in district heating networks is very attractive. The main issue is the transport of the heat from the point of generation to the local distribution network, in a way similar to the structure of electricity transport and distribution networks. Absorption systems have been proposed to transport and distribute waste heat using two absorption stations. In one of them (step-up station), industrial heat at a low temperature is pumped to a higher temperature to facilitate its transport and at the same time increase the temperature difference between the supply and return streams, in this way reducing the hot water mass flow rate circulating through the heat transport network. Heat is then used in a second absorption system (step-down station) to provide heat to a low temperature local district network. In this paper, several absorption system configurations are analyzed for both stations. A detailed thermodynamic analysis of each configuration is performed using selected energy performance indicators to calculate its global performance. The implementation of these kind of systems could enable the use of waste heat to produce heating and cooling for smart communities located a few dozens of kilometers away from industrial sites.


2017 ◽  
Vol 9 (1) ◽  
pp. 178-195 ◽  
Author(s):  
Bulent Selek ◽  
I. Kaan Tuncok ◽  
Zeliha Selek

Abstract Turkey lies in a critical region that is projected to be one of the most vulnerable to the impacts of climate change in the Mediterranean region. In this study, climatic zones of Turkey were classified with respect to their climatic and meteorological characteristics. The Thornthwaite precipitation efficiency index was used to identify aridity and humidity characteristics. The index values were mapped to determine climate zones and associated climate classes and to evaluate change in time and space. Two distinct periods (1950–1980 and 1981–2010) were used to assess climatic conditions and evaluate historical changes. The Thornthwaite index indicated significant spatial variations of climate parameters across Turkey with varying degrees of vulnerability. The results indicate that during the 60-year time frame, no arid zones had been experienced in Turkey. On the other hand, an increase of semi-dry and dry humid zones and a decrease of semi-dry–less humid, semi-humid and humid zones had been experienced. In this context, it is important to note that semi-arid zones have increased substantially (approximately 14%) between the two 30-year periods.


Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 814 ◽  
Author(s):  
Marcel Antal ◽  
Tudor Cioara ◽  
Ionut Anghel ◽  
Radoslaw Gorzenski ◽  
Radoslaw Januszewski ◽  
...  

This paper addresses the problem of data centers’ cost efficiency considering the potential of reusing the generated heat in district heating networks. We started by analyzing the requirements and heat reuse potential of a high performance computing data center and then we had defined a heat reuse model which simulates the thermodynamic processes from the server room. This allows estimating by means of Computational Fluid Dynamics simulations the temperature of the hot air recovered by the heat pumps from the server room allowing them to operate more efficiently. To address the time and space complexity at run-time we have defined a Multi-Layer Perceptron neural network infrastructure to predict the hot air temperature distribution in the server room from the training data generated by means of simulations. For testing purposes, we have modeled a virtual server room having a volume of 48 m3 and two typical 42U racks. The results show that using our model the heat distribution in the server room can be predicted with an error less than 1 °C allowing data centers to accurately estimate in advance the amount of waste heat to be reused and the efficiency of heat pump operation.


Author(s):  
Adrienne B. Little ◽  
Srinivas Garimella

Of the total electricity consumption by the United States in 2006, more than 1% was used on data centers alone; a value that continues to rise rapidly. Of the total amount of electricity a data center consumes, about 30% is used to cool server equipment. The present study conceptualizes and analyzes a novel paradigm consisting of integrated power, cooling, and waste heat recovery and upgrade systems that considerably lower the energy footprint of data centers. Thus, on-site power generation equipment is used to supply primary electricity needs of the data center. The microturbine-derived waste heat is recovered to run an absorption chiller that supplies the entire cooling load of the data center, essentially providing the requisite cooling without any additional expenditure of primary energy. Furthermore, the remaining waste heat rejected by the data center is boosted to a higher temperature with a heat transformer, with the upgraded thermal stream serving as an additional output of the data center with negligible additional electrical power input. Such upgraded heat can be used for district heating applications in neighboring residential or commercial buildings, or as process heat for commercial end uses such as laundries, hospitals, and restaurants, depending on the location of the data center. With such a system, the primary energy usage of the data center as a whole can be reduced by up to 23% while still addressing the high-flux cooling loads, in addition to providing a new income stream through the sales of upgraded thermal energy. Given the large and fast-escalating energy consumption patterns of data centers, this novel, integrated approach to electricity and cooling supply, and waste heat recovery and upgrade will substantially reduce primary energy consumption for this important end use worldwide.


2020 ◽  
Vol 258 ◽  
pp. 114109 ◽  
Author(s):  
Pei Huang ◽  
Benedetta Copertaro ◽  
Xingxing Zhang ◽  
Jingchun Shen ◽  
Isabelle Löfgren ◽  
...  

2003 ◽  
Vol 2 (1) ◽  
pp. 75-80
Author(s):  
Xindong Wei ◽  
Weijun Gao ◽  
Jun Yin ◽  
Haifeng Li ◽  
Toshio Ojima

2020 ◽  
Vol 14 (3) ◽  
pp. 312-317
Author(s):  
Tero Leppänen ◽  
Rihard Romka ◽  
Pekka Tervonen

Data center industry is growing rapidly due to the expanding internet traffic and the upcoming IoT revolution. Data centers consume vast amounts of energy globally and are also a significant source of greenhouse gas emissions. There is a need to improve energy efficiency and sustainability of data center operations. The energy consumed by data centers is mostly converted to heat and this study focuses on utilizing that waste heat according to the principles of circular economy in the context of Northern Ostrobothnia, Finland. The overall regional business potential of data center waste heat utilization is evaluated and the best options of utilizing waste heat in case data center are sought. The study found that the most viable option would be utilizing waste heat locally to heat facilities or in industrial processes. Another potential option is to connect data center into a district heating system where waste heat can be fed.


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