An engineering‐oriented variable water flow air‐conditioning system terminal flow rate estimation method based on component flow resistance characteristics Article Swipe
Tianyi Zhao
,
Yu-E Sun
,
Liu Zhong-jie
,
Kuishan Li
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1002/ese3.859
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1002/ese3.859
Water flow rate plays an important role in the modeling prediction, fault detection and diagnosis, and performance optimization of the variable water flow air‐conditioning (VWFAC) system. However, flowmeters employed by the system's terminals have not been widely used in engineering applications for the constraints in installation space and high installation and retrofit costs. Therefore, in this study, a terminal flow rate estimation method is proposed for the VWFAC system to reduce the dependency on flowmeters. The water flow rate estimation model is developed based on the flow resistance characteristics inside the air handling unit (AHU) and was trained and verified at the Monitoring and Control Laboratory established in the Dalian University of Technology. The results indicate that the maximum root‐mean‐square error (RMSE) during the training and validation sessions are 0.038 m 3 /h and 0.028 m 3 /h, respectively, while the corresponding mean absolute percentage error (MAPE) are below 1.4% and 6.5%, which is acceptable for engineering applications. To improve the flow rate estimation accuracy of the model, water temperature, water flow rate, and pressure difference are suggested to cover a wide varied range during the training session as much as possible. Systematic error is an important index in determining the demands for sensor's accuracy class. According to the results of water flow rate, the systematic errors of the estimates are ranged between 0.51% and 0.76%, only about 1/4 to 1/3 of the measurements systematic errors. Based on the error propagation theory, the water flow rate estimates would be reliable if the systematic error of the pressure measurements does not over twice that of the water flow rate measurements. This flow rate estimation method can be further applied to other thermal engineering systems to bring considerable economic benefits for engineering applications.
Related Topics
Concepts
Volumetric flow rate
Mean squared error
Flow measurement
Flow (mathematics)
Water flow
Approximation error
Control theory (sociology)
Simulation
Computer science
Environmental science
Statistics
Mathematics
Algorithm
Mechanics
Environmental engineering
Artificial intelligence
Geometry
Control (management)
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/ese3.859
- OA Status
- gold
- Cited By
- 1
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3115298823
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3115298823Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/ese3.859Digital Object Identifier
- Title
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An engineering‐oriented variable water flow air‐conditioning system terminal flow rate estimation method based on component flow resistance characteristicsWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-12-23Full publication date if available
- Authors
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Tianyi Zhao, Yu-E Sun, Liu Zhong-jie, Kuishan LiList of authors in order
- Landing page
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https://doi.org/10.1002/ese3.859Publisher landing page
- Open access
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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://doi.org/10.1002/ese3.859Direct OA link when available
- Concepts
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Volumetric flow rate, Mean squared error, Flow measurement, Flow (mathematics), Water flow, Approximation error, Control theory (sociology), Simulation, Computer science, Environmental science, Statistics, Mathematics, Algorithm, Mechanics, Environmental engineering, Artificial intelligence, Geometry, Control (management), PhysicsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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