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Evaluation of the waste heat utilization from a hot-water-cooled high performance computer via a heat pump

Feike, Frederik ; Oltmanns, Johannes ; Dammel, Frank ; Stephan, Peter (2021)
Evaluation of the waste heat utilization from a hot-water-cooled high performance computer via a heat pump.
In: Energy Reports, 7 (Supplement 4)
doi: 10.1016/j.egyr.2021.09.038
Article, Bibliographie

Abstract

Internet usage, data transfer, and required computing power have seen rapid growth in recent years. Consequently, the number of data centers and their power densities are increasing at an ever-faster rate. Data centers have a huge demand for cooling energy, which is typically dissipated into the environment as waste heat. Due to the mostly urban location of data centers, the usage of their waste heat can play a leading role in decarbonizing urban heat supply. At the Technical University of Darmstadt, a concept for waste heat utilization from the university’s own high-performance computer (HPC) was developed. The HPC is cooled with hot water at 40 °C to 45 °C, and the temperature level of the waste heat is further increased via a heat pump before it is fed into the return line of the university’s district heating network at 60 °C to 75 °C. The high source temperatures ensure a very efficient operation of the heat pump. This concept was installed on site in 2020 and put into operation at the beginning of 2021. To collect information about the performance of the system, a measurement concept was implemented, which collects data about heat flows and temperatures at various points in the system as well as the electric energy demand of the heat pump. This data is analyzed and measures to optimize the waste heat utilization are derived.

Item Type: Article
Erschienen: 2021
Creators: Feike, Frederik ; Oltmanns, Johannes ; Dammel, Frank ; Stephan, Peter
Type of entry: Bibliographie
Title: Evaluation of the waste heat utilization from a hot-water-cooled high performance computer via a heat pump
Language: English
Date: 28 October 2021
Publisher: Elsevier
Journal or Publication Title: Energy Reports
Volume of the journal: 7
Issue Number: Supplement 4
DOI: 10.1016/j.egyr.2021.09.038
URL / URN: https://www.sciencedirect.com/science/article/pii/S235248472...
Abstract:

Internet usage, data transfer, and required computing power have seen rapid growth in recent years. Consequently, the number of data centers and their power densities are increasing at an ever-faster rate. Data centers have a huge demand for cooling energy, which is typically dissipated into the environment as waste heat. Due to the mostly urban location of data centers, the usage of their waste heat can play a leading role in decarbonizing urban heat supply. At the Technical University of Darmstadt, a concept for waste heat utilization from the university’s own high-performance computer (HPC) was developed. The HPC is cooled with hot water at 40 °C to 45 °C, and the temperature level of the waste heat is further increased via a heat pump before it is fed into the return line of the university’s district heating network at 60 °C to 75 °C. The high source temperatures ensure a very efficient operation of the heat pump. This concept was installed on site in 2020 and put into operation at the beginning of 2021. To collect information about the performance of the system, a measurement concept was implemented, which collects data about heat flows and temperatures at various points in the system as well as the electric energy demand of the heat pump. This data is analyzed and measures to optimize the waste heat utilization are derived.

Uncontrolled Keywords: Data center, Heat pump, Waste heat utilization, Low-temperature district heating
Additional Information:

Part of special issue: The 17th International Symposium on District Heating and Cooling, Nottingham, United Kingdom, 06.-09.09.2021

Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute for Technical Thermodynamics (TTD)
Date Deposited: 04 May 2022 07:19
Last Modified: 04 May 2022 07:19
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