LAPSE:2023.32580
Published Article
LAPSE:2023.32580
A Comprehensive Loss Model and Comparison of AC and DC Boost Converters
Daniel L. Gerber, Fariborz Musavi, Omkar A. Ghatpande, Stephen M. Frank, Jason Poon, Richard E. Brown, Wei Feng
April 20, 2023
DC microgrids have become a prevalent topic in research in part due to the expected superior efficiency of DC/DC converters compared to their AC/DC counterparts. Although numerous side-by-side analyses have quantified the efficiency benefits of DC power distribution, these studies all modeled converter loss based on product data that varied in component quality and operating voltage. To establish a fair efficiency comparison, this work derives a formulaic loss model of a DC/DC and an AC/DC PFC boost converter. These converters are modeled with identical components and an equivalent input and output voltage. Simulated designs with real components show AC/DC boost converters between 100 W to 500 W having up to 2.5 times more loss than DC/DC boost converters. Although boost converters represent a fraction of electronics in buildings, these loss models can eventually work toward establishing a comprehensive model-based full-building analysis.
Keywords
AC-DC power conversion, DC power transmission, DC-DC power conversion, losses, power converter
Suggested Citation
Gerber DL, Musavi F, Ghatpande OA, Frank SM, Poon J, Brown RE, Feng W. A Comprehensive Loss Model and Comparison of AC and DC Boost Converters. (2023). LAPSE:2023.32580
Author Affiliations
Gerber DL: Lawrence Berkeley National Laboratory, Department of Building Technologies Urban Systems, Berkeley, CA 94720, USA [ORCID]
Musavi F: Department of Electrical Engineering and Computer Science, Washington State University, Vancouver, WA 99163, USA
Ghatpande OA: National Renewable Energy Laboratory, Building Energy Science Group, Golden, CO 80401, USA
Frank SM: National Renewable Energy Laboratory, Building Energy Science Group, Golden, CO 80401, USA [ORCID]
Poon J: Lawrence Berkeley National Laboratory, Department of Building Technologies Urban Systems, Berkeley, CA 94720, USA
Brown RE: Lawrence Berkeley National Laboratory, Department of Building Technologies Urban Systems, Berkeley, CA 94720, USA [ORCID]
Feng W: Lawrence Berkeley National Laboratory, Department of Building Technologies Urban Systems, Berkeley, CA 94720, USA [ORCID]
Journal Name
Energies
Volume
14
Issue
11
First Page
3131
Year
2021
Publication Date
2021-05-27
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14113131, Publication Type: Journal Article
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LAPSE:2023.32580
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doi:10.3390/en14113131
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Apr 20, 2023
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