Capillary-driven boiling and adsorptive water harvesting : enhancing water and energy efficiency in data center cooling
Abstract/Contents
- Abstract
- The dissertation explores advanced cooling technologies for data centers, focusing on capillary-driven two-phase micro-coolers and kinetically enhanced adsorptive water harvesters to address both heat and water management challenges. The study delves into the transport behaviors of capillary-driven boiling and the development of micro-coolers with three-dimensional manifolds, aiming for scalability and energy efficiency. It introduces random-packed copper inverse opals (CIO) as effective wick materials that enhance cooling by optimizing the critical heat flux and thermal resistance. Through semi-analytical modeling, experimental setups like the suspended micro-bridge, and computation fluid dynamics (CFS), the research analyzes steady-state boiling, critical heat flux, and the thermal transients of capillary-driven systems. Additionally, the thesis details the creation of large-area, chip-scale evaporative micro-coolers using CIO films, demonstrating their ability to handle high heat fluxes efficiently while minimizing energy consumption. The interaction between wick structures, manifold designs, and operational conditions such as flow rates is examined to optimize micro-cooler performance. The study also investigates the integration of fluidized metal-organic frameworks (MOF-303) for water harvesting using waste heat from data centers, enhancing the sustainability of cooling processes. This approach not only conserves water but also leverages thermal outputs for additional environmental benefits, illustrating the potential of combined energy and water management strategies in improving data center sustainability.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2024; ©2024 |
| Publication date | 2024; 2024 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Wu, Qianying |
|---|---|
| Degree supervisor | Goodson, Kenneth E, 1967- |
| Thesis advisor | Goodson, Kenneth E, 1967- |
| Thesis advisor | Gu, Wendy, (Professor of mechanical engineering) |
| Thesis advisor | Santiago, Juan G |
| Degree committee member | Gu, Wendy, (Professor of mechanical engineering) |
| Degree committee member | Santiago, Juan G |
| Associated with | Stanford University, School of Engineering |
| Associated with | Stanford University, Department of Mechanical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Qianying Wu. |
|---|---|
| Note | Submitted to the Department of Mechanical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2024. |
| Location | https://purl.stanford.edu/dw653rt2468 |
Access conditions
- Copyright
- © 2024 by Qianying Wu
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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