sustainable data centers and energy conversion technologies · psi tobias rupp and thomas schmidt...
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IBM Research - Zurich | Science & Technology
© 2016 IBM Corporation
Sustainable Data Centers and Energy Conversion Technologies
Bruno Michel, Mgr. Smart System Integration, IBM Research – Zurich, Switzerland
Member US National Academy of Engineering and Member IBM Academy of Technology
https://www.zurich.ibm.com/st/ https://www.zurich.ibm.com/st/smartsystem/
© 2017 IBM Corporation
IBM Research – Zurich – Smart System Integration – Sustainable data centers and energy conversion technologies
Sustainable generation
Electricity and heatFresh water scarcity
Renewable heating and cooling
High performance
microchannel
coolers
Growth in
Cloud and Big
Data
Heat exchanger
Pump
Underfloor
heatingEconomic value of heat reduces datacenter total
cost of ownership by 50-70% lower energy cost
60°C
65°C
>700 W/cm2
Zero-emissiondatacenter
High-concentration PV/thermal
Adsorptionheat pump
Membrane distillationdesalination
Electrochemical redox energy conversion
Smarter Energy: Impact Outside of ICT Industry
Bruno Michel, [email protected] 2
© 2017 IBM Corporation
IBM Research – Zurich – Smart System Integration – Sustainable data centers and energy conversion technologies
3 Bruno Michel, [email protected]
High Concentration PV/thermal (HCPVT) Multigeneration
HCPVT system captures >80% of solar
energy content with one installation
• Solar provisioning of electricity and heat today typically employs
two separate power stations → doubled cost
• Current solar systems capture <35% of incoming solar irradiation
→ >65% waste
© 2017 IBM Corporation
IBM Research – Zurich – Smart System Integration – Sustainable data centers and energy conversion technologies
4
High Concentration PV/thermal (HCPVT) Multigeneration
Bruno Michel, [email protected]
© 2017 IBM Corporation
IBM Research – Zurich – Smart System Integration – Sustainable data centers and energy conversion technologies
Transport dynamicsAdsorbents
Refrigerants
Silica gel Zeolite
Activatedcarbon
Alumino-phosphates
MOFs Salt composites
Improve adsorption capacity
Improve dynamic utilization
Select for application
Heat Driven Heat Pumps or Adsorption Chillers
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Name FormulaBoiling point
[°C]
Latent heat
[kJ/kg]
Latent heat density
[kJ/m3]
Water H2O 100 2 258 2 163
Methanol CH3OH 65 508 872
Ammonia NH3 -34 1 368 932
Sulphur dioxide SO2 -10 605 534
© 2017 IBM Corporation
IBM Research – Zurich – Smart System Integration – Sustainable data centers and energy conversion technologies
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Physical modeling of heat &
mass transport with sorption
phenomena, understand
basic physics of system
Location-specific modeling of solar thermal and waste heat
driven cooling system, define CAPEX (cost) and OPEX (el.
energy cons.) 12
3
Characterization via vapor sorption isotherms and
adsorbate diffusion coefficient measurements,
1600 W/kg specific cooling power (>8x higher)
4
Adsorbent assembly for optimized heat &
mass transport rates, 10x faster cycling
5
In situ transient thermography and
cooling power characterization
10% higher COP
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Test facility for 1 kW heat ex-
changer characterization,
3x lower cost lower driving T 7
0.5 mm 100 µm
0
10
20
30
40
50
60
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7
Relative pressure
Ma
ss u
pta
ke
[%
] M
ass u
pta
ke [%
]
Relative pressure
Domestic hot water
150°C | 60°C | 12°C
Space heating
80°C | 40°C | 12°C
Air-conditioning
60°C | 30°C | 18°C
Summary of Expertise
Bruno Michel, [email protected]
Synthesis of adsorbents with tailored appli-
cation-specific properties for hot climates
© 2017 IBM Corporation
IBM Research – Zurich – Smart System Integration – Sustainable data centers and energy conversion technologies
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Summary: Breakthrough Innovations
Reuse ICT heat for heating and cooling Zero-emission datacenter
– Technology lead >10x lower convective thermal resistance than in energy industry
Convert heat from Solar HCPVT and datacenters into cooling
– Needs high efficiency HCPVT receiver and district cooling
– Heat driven heat pump 10x better due to lower conductive resistance and better isotherm
Innovation in heat pumps
– Leading characterization of sorption dynamics and thermal/mass transport resistance
– Steeper sorption isotherm optimized for necessary temperature/pressure window
– Better thermal contact for faster cycling and >10x higher overall SCP
– Heat pump with high exergetic efficiency Thermal Transformer
Microchannel flow boiling to be used in low grade heat steam engines
– Rankine cycle with limited efficiency Should use near isothermal expander
Common part: Massively reduced convective and conductive heat transfer
Bruno Michel, [email protected]
© 2017 IBM Corporation
IBM Research – Zurich – Smart System Integration – Sustainable data centers and energy conversion technologies
Thank you very much for your kind Attention!
Acknowledgement
Ingmar Meijer, Patrick Ruch, Jens Ammann, Sarmenio Saliva, Thomas Brunschwiler, Stephan Paredes,
Werner Escher, Yassir Madhour, Jeff Ong, Gerd Schlottig and many more for Heatpump, Aquasar and
SuperMUC design and build
Sebastian Gerke, Rahel Straessle, Arvind Sridhar, Ismael Faro, Yuksel Temiz, Neil Ebejer, Theodore G van
Kessel, Keiji Matsumoto, Emanuel Loertscher, Frank Libsch, Hyung-Min Lee, John Knickerbocker, Jonas
Weiss, Jonathan E Proesel, Kang-Wook Lee, Mehmet Soyuer, Minhua Lu, Mounir Meghelli, Norma E Sosa
cortes, Paul S Andry, Roy Yu, Shriya Kumar, Sufi Zafar, Teodor K Todorov, Yves Martin …. and many more
PSI Tobias Rupp and Thomas Schmidt
HSR Paul Gantenbein, Matthias Rommel
ETH Aldo Steinfeld, Max Schmitz, Nicolai Wiik, Severin Zimmermann, Adrian Renfer, Manish Tiwari, Ozgur
Ozsun, Dimos Poulikakos
EPFL Yassir Madhour, John Thome, and Yussuf Leblebici
Funding: IBM FOAK Program, IBM Research, CCEM Aquasar project, Nanotera CMOSAIC project, SNF
Sinergia project REPCOOL, NRP 70 project THRIVE, EUFP7 project CarrICool, EUFP7 project
HyperConnect, DARPA IceCool, KTI / DSolar.
Bruno Michel, [email protected] 8
See Conference Paper: Ruch et al., Sustainable data centers
and energy conversion technologies (2017).