Research Output per Year
Research Output per Year
Overview
Personal Profile
David Sickinger is a part of the Advanced Computing Operations Group within the Computational Science Center. Since 2012, he has been involved with the operation of the mechanical systems supporting NREL's High Performance Computing data center, which houses the Peregrine and Eagle supercomputers. He is passionate about developing a breadth of understanding of renewable energy and energy efficiency technologies, while advancing scientific research with HPC resources.
Research Interests
Facility infrastructure cooling and power
Energy and water efficient facilities
Python data analysis
Industrial Internet of Things
Professional Experience
Software Engineer, Human Interface Technology Lab, University of Canterbury (2004–2008)
Education/Academic Qualification
Master, Mechanical Engineering, University of Arizona
Master, Computer Science, University of Auckland
Master, Antarctic Studies, University of Canterbury
Certificate, RASEI Professional Renewable and Sustainable Energy Certificate, University of Colorado Boulder
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Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Best Practices Guide for Energy-Efficient Data Center Design
Van Geet, O. & Sickinger, D., 2024, 48 p.Research output: NREL › Technical Report
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Addressing Data Center Cooling Needs through the Use of Subsurface Thermal Energy Storage Systems
Zhang, Y., Acero-Allard, D., Atkinson, T., Beckers, K., Dobson, P., Jin, W., Lei, N., Oh, H., Peng, P., Sartor, D. & Sickinger, D., 2023.Research output: Contribution to conference › Paper › peer-review
1 Scopus Citations -
Blowdown Recovery System for Cooling Tower Water Treatment
Sickinger, D. & Tomberlin, G., 2023, 31 p.Research output: NREL › Technical Report
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Data Center Facility Monitoring with Physics Aware Approach
Egan, H., Purkayastha, A. & Sickinger, D., 2022, p. 251-261. 11 p.Research output: Contribution to conference › Paper › peer-review
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Energy Use in Quantum Data Centers: Scaling the Impact of Computer Architecture, Qubit Performance, Size, and Thermal Parameters
Martin, M., Hughes, C., Moreno, G., Jones, E., Sickinger, D., Narumanchi, S. & Grout, R., 1 Oct 2022, In: IEEE Transactions on Sustainable Computing. 7, 4, p. 864-874 11 p.Research output: Contribution to journal › Article › peer-review
10 Scopus Citations
Awards and Honors
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U.S. Department of Energy's Federal Energy Management Program Award, Thermosyphon Project Lead
Sickinger, D. (Recipient), 2018
Prize: Honorary award