A Modeling Toolkit for Comparing AC and DC Electrical Distribution Efficiency in Buildings Article Swipe
Avpreet Othee
,
James Cale
,
Arthur Santos
,
Stephen Frank
,
Daniel Zimmerle
,
Omkar Ghatpande
,
Gerald P. Duggan
,
Dániel Gerber
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/en16073001
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/en16073001
Recently, there has been considerable research interest in the potential for DC distribution systems in buildings instead of the traditional AC distribution systems. Due to the need for performing power conversions between DC and AC electricity, DC distribution may provide electrical efficiency advantages in some systems. To support comparative evaluations of AC-only, DC-only, and hybrid AC/DC distribution systems in buildings, a new modeling toolkit called the Building Electrical Efficiency Analysis Model (BEEAM) was developed and is described in this paper. To account for harmonics in currents or voltages arising from nonlinear devices, the toolkit implements harmonic power flow, along with nonlinear device behavioral descriptions derived from empirical measurements. This paper describes the framework, network equations, device representations, and an implementation of the toolkit in an open source software package, including a component library and graphical interface for creating circuits. Simulations of electrical behavior and device and system efficiencies using the toolkit are compared with experimental measurements of a small office environment in a variety of operating and load configurations. A detailed analysis of uncertainty estimation is also provided. Key findings were that a comparison of predicted versus measured efficiencies and power losses in the validation testbed using the initial toolkit implementation predicted device- and system-level efficiencies with reasonably good accuracy under both balanced and unbalanced AC scenarios. An uncertainty analysis also revealed that the maximum estimated error for system efficiency across all scenarios was 3%, and measured and modeled system efficiency agreed within the experimental uncertainty in approximately half of the scenarios. Based on the correspondence between simulation and measurement, the toolkit is proposed by the authors as a potentially useful tool for comparing efficiency in AC, DC, and hybrid AC/DC distribution systems in buildings.
Related Topics
Concepts
Harmonics
Testbed
Computer science
Nonlinear system
Electric power system
Power (physics)
Voltage
Electrical network
Component (thermodynamics)
Harmonic
Interface (matter)
Electronic engineering
Electrical engineering
Engineering
Bubble
Computer network
Thermodynamics
Maximum bubble pressure method
Physics
Quantum mechanics
Parallel computing
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en16073001
- https://www.mdpi.com/1996-1073/16/7/3001/pdf?version=1680158751
- OA Status
- gold
- Cited By
- 6
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4361010101
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4361010101Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/en16073001Digital Object Identifier
- Title
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A Modeling Toolkit for Comparing AC and DC Electrical Distribution Efficiency in BuildingsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-25Full publication date if available
- Authors
-
Avpreet Othee, James Cale, Arthur Santos, Stephen Frank, Daniel Zimmerle, Omkar Ghatpande, Gerald P. Duggan, Dániel GerberList of authors in order
- Landing page
-
https://doi.org/10.3390/en16073001Publisher landing page
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-
https://www.mdpi.com/1996-1073/16/7/3001/pdf?version=1680158751Direct link to full text PDF
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YesWhether a free full text is available
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-
goldOpen access status per OpenAlex
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https://www.mdpi.com/1996-1073/16/7/3001/pdf?version=1680158751Direct OA link when available
- Concepts
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Harmonics, Testbed, Computer science, Nonlinear system, Electric power system, Power (physics), Voltage, Electrical network, Component (thermodynamics), Harmonic, Interface (matter), Electronic engineering, Electrical engineering, Engineering, Bubble, Computer network, Thermodynamics, Maximum bubble pressure method, Physics, Quantum mechanics, Parallel computingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 1, 2023: 2Per-year citation counts (last 5 years)
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29Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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