Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Mesoporous silica gels for waste heat recovery and adsorption cooling of Big Data Centers. / Cherpakova, A. V.; Solovyeva, M. V.; Grekova, A. D. и др.
в: Energy, Том 316, 134427, 01.02.2025.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Mesoporous silica gels for waste heat recovery and adsorption cooling of Big Data Centers
AU - Cherpakova, A. V.
AU - Solovyeva, M. V.
AU - Grekova, A. D.
AU - Aristov, Yu I.
AU - Gordeeva, L. G.
N1 - This work was financially supported by the Ministry of Science and Higher Education of the Russian Federation within the framework of the state assignment of the Institute of Catalysis, Siberian Branch of the Russian Academy of Sciences (project FWUR-2024-0036).
PY - 2025/2/1
Y1 - 2025/2/1
N2 - With the rise of intensive computing, the power consumption of big data centers (BDCs) has increased significantly, with 40 % being spent on cooling. This requires the development of energy-efficient technologies for cooling BDC components. Adsorption Cooling (AC) is an environmentally friendly technology that can utilize BDC waste heat to cool their components. However, the ultra-low temperature level (45–60°С) of this heat requires the search for new advanced adsorbents specialized for these harsh conditions, which is the aim of this study. Firstly, the demands for adsorbent sorption properties are formulated; the water adsorption equilibrium is compared for commercially available mesoporous silicas (pore sizes ranging from 2 to 8 nm) to select the most promising adsorbent for this cycle. At a heat rejection temperature of 30 °C, the mesoporous silica with 4.6 nm pores produces cold at T = 25 °C, sufficient for cooling BDC, with water uptake of 0.44–0.47 gH2O/gads, and can be regenerated at 50–60 °C. The main performance indexes of the cycle are assessed: the Coefficient of Performance of 0.86 and Specific Cooling Power of 0.7–3.1 kW/kg. This provides a solid foundation for the designing a compact energy-saving adsorption unit for waste heat recovery and BDCs cooling using this commercially available and cost-effective adsorbent.
AB - With the rise of intensive computing, the power consumption of big data centers (BDCs) has increased significantly, with 40 % being spent on cooling. This requires the development of energy-efficient technologies for cooling BDC components. Adsorption Cooling (AC) is an environmentally friendly technology that can utilize BDC waste heat to cool their components. However, the ultra-low temperature level (45–60°С) of this heat requires the search for new advanced adsorbents specialized for these harsh conditions, which is the aim of this study. Firstly, the demands for adsorbent sorption properties are formulated; the water adsorption equilibrium is compared for commercially available mesoporous silicas (pore sizes ranging from 2 to 8 nm) to select the most promising adsorbent for this cycle. At a heat rejection temperature of 30 °C, the mesoporous silica with 4.6 nm pores produces cold at T = 25 °C, sufficient for cooling BDC, with water uptake of 0.44–0.47 gH2O/gads, and can be regenerated at 50–60 °C. The main performance indexes of the cycle are assessed: the Coefficient of Performance of 0.86 and Specific Cooling Power of 0.7–3.1 kW/kg. This provides a solid foundation for the designing a compact energy-saving adsorption unit for waste heat recovery and BDCs cooling using this commercially available and cost-effective adsorbent.
KW - Adsorption cooling
KW - Adsorption equilibrium and dynamics
KW - Big data center
KW - Mesoporous silica
KW - Ultra-low temperature heat
KW - Water vapor
UR - https://www.mendeley.com/catalogue/9695356c-91c9-3137-900b-6a3af48a1c28/
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85215545844&origin=inward&txGid=fa929dfa2f530f78eac97607f3c24471
U2 - 10.1016/j.energy.2025.134427
DO - 10.1016/j.energy.2025.134427
M3 - Article
VL - 316
JO - Energy
JF - Energy
SN - 0360-5442
M1 - 134427
ER -
ID: 62969947