IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v107y2013icp66-80.html
   My bibliography  Save this item

Technological drivers in data centers and telecom systems: Multiscale thermal, electrical, and energy management

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Esmaelian, Majid & Tavana, Madjid & Di Caprio, Debora & Ansari, Reza, 2017. "A multiple correspondence analysis model for evaluating technology foresight methods," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 188-205.
  2. Sorrentino, Marco & Bruno, Marco & Trifirò, Alena & Rizzo, Gianfranco, 2019. "An innovative energy efficiency metric for data analytics and diagnostics in telecommunication applications," Applied Energy, Elsevier, vol. 242(C), pages 1539-1548.
  3. Bryan Coyne & Eleanor Denny, 2021. "Applying a Model of Technology Diffusion to Quantify the Potential Benefit of Improved Energy Efficiency in Data Centres," Energies, MDPI, vol. 14(22), pages 1-18, November.
  4. Gupta, Rohit & Moazamigoodarzi, Hosein & MirhoseiniNejad, SeyedMorteza & Down, Douglas G. & Puri, Ishwar K., 2020. "Workload management for air-cooled data centers: An energy and exergy based approach," Energy, Elsevier, vol. 209(C).
  5. Manal Ayyad Dhif Alshammry & Saqib Muneer, 2023. "The influence of economic development, capital formation, and internet use on environmental degradation in Saudi Arabia," Future Business Journal, Springer, vol. 9(1), pages 1-16, December.
  6. Sharma, Chander Shekhar & Tiwari, Manish K. & Zimmermann, Severin & Brunschwiler, Thomas & Schlottig, Gerd & Michel, Bruno & Poulikakos, Dimos, 2015. "Energy efficient hotspot-targeted embedded liquid cooling of electronics," Applied Energy, Elsevier, vol. 138(C), pages 414-422.
  7. Zhang, Hainan & Shao, Shuangquan & Xu, Hongbo & Zou, Huiming & Tang, Mingsheng & Tian, Changqing, 2017. "Simulation on the performance and free cooling potential of the thermosyphon mode in an integrated system of mechanical refrigeration and thermosyphon," Applied Energy, Elsevier, vol. 185(P2), pages 1604-1612.
  8. Hales, Alastair & Jiang, Xi, 2018. "A review of piezoelectric fans for low energy cooling of power electronics," Applied Energy, Elsevier, vol. 215(C), pages 321-337.
  9. Xia, Guanghui & Zhuang, Dawei & Ding, Guoliang & Lu, Jingchao, 2020. "A quasi-three-dimensional distributed parameter model of micro-channel separated heat pipe applied for cooling telecommunication cabinets," Applied Energy, Elsevier, vol. 276(C).
  10. Salahuddin, Mohammad & Alam, Khorshed & Ozturk, Ilhan, 2016. "The effects of Internet usage and economic growth on CO2 emissions in OECD countries: A panel investigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1226-1235.
  11. Cho, Jinkyun & Kim, Yundeok, 2016. "Improving energy efficiency of dedicated cooling system and its contribution towards meeting an energy-optimized data center," Applied Energy, Elsevier, vol. 165(C), pages 967-982.
  12. Chu, Wen-Xiao & Wang, Chi-Chuan, 2019. "A review on airflow management in data centers," Applied Energy, Elsevier, vol. 240(C), pages 84-119.
  13. Heran Jing & Zhenhua Quan & Yaohua Zhao & Lincheng Wang & Ruyang Ren & Ruixue Dong & Yuting Wu, 2022. "Experimental Investigation of Heat Transfer and Flow Characteristics of Split Natural Cooling System for Data Center Based on Micro Heat Pipe Array," Energies, MDPI, vol. 15(12), pages 1-22, June.
  14. Ham, Sang-Woo & Kim, Min-Hwi & Choi, Byung-Nam & Jeong, Jae-Weon, 2015. "Energy saving potential of various air-side economizers in a modular data center," Applied Energy, Elsevier, vol. 138(C), pages 258-275.
  15. Costa Climent, Ricardo & Haftor, Darek M., 2021. "Business model theory-based prediction of digital technology use: An empirical assessment," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  16. Isazadeh, Amin & Ziviani, Davide & Claridge, David E., 2023. "Global trends, performance metrics, and energy reduction measures in datacom facilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
  17. Chen, Min & Gao, Ciwei & Song, Meng & Chen, Songsong & Li, Dezhi & Liu, Qiang, 2020. "Internet data centers participating in demand response: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
  18. Zhang, Sheng & Cheng, Yong & Oladokun, Majeed Olaide & Huan, Chao & Lin, Zhang, 2019. "Heat removal efficiency of stratum ventilation for air-side modulation," Applied Energy, Elsevier, vol. 238(C), pages 1237-1249.
  19. Yuan, Weixing & Yang, Bo & Yang, Yufei & Ren, Kexian & Xu, Jian & Liao, Yibing, 2015. "Development and experimental study of the characteristics of a prototype miniature vapor compression refrigerator," Applied Energy, Elsevier, vol. 143(C), pages 47-57.
  20. Luigi Ventola & Matteo Fasano & Roberta Cappabianca & Luca Bergamasco & Francesca Clerici & Luciano Scaltrito & Eliodoro Chiavazzo & Pietro Asinari, 2020. "Convective Heat Transfer Enhancement through Laser-Etched Heat Sinks: Elliptic Scale-Roughened and Cones Patterns," Energies, MDPI, vol. 13(6), pages 1-16, March.
  21. Jagirdar, Mrinal & Lee, Poh Seng, 2017. "A diagnostic tool for detection of flow-regimes in a microchannel using transient wall temperature signal," Applied Energy, Elsevier, vol. 185(P2), pages 2232-2244.
  22. Yang, Tian-Jian & Zhang, Yue-Jun & Tang, Su & Zhang, Jing, 2016. "How to assess and manage energy performance of numerous telecommunication base stations: Evidence in China," Applied Energy, Elsevier, vol. 164(C), pages 436-445.
  23. Chan, Chien Aun & Gygax, André F. & Leckie, Christopher & Wong, Elaine & Nirmalathas, Ampalavanapillai & Hinton, Kerry, 2016. "Telecommunications energy and greenhouse gas emissions management for future network growth," Applied Energy, Elsevier, vol. 166(C), pages 174-185.
  24. Li, Jian & Jurasz, Jakub & Li, Hailong & Tao, Wen-Quan & Duan, Yuanyuan & Yan, Jinyue, 2020. "A new indicator for a fair comparison on the energy performance of data centers," Applied Energy, Elsevier, vol. 276(C).
  25. Nastro, Francesco & Sorrentino, Marco & Trifirò, Alena, 2022. "A machine learning approach based on neural networks for energy diagnosis of telecommunication sites," Energy, Elsevier, vol. 245(C).
  26. Anders S. G. Andrae & Tomas Edler, 2015. "On Global Electricity Usage of Communication Technology: Trends to 2030," Challenges, MDPI, vol. 6(1), pages 1-41, April.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.