Half-Online Identification Algorithm for Parameter Estimation of Fan Energy Consumption Model

Xiao Feng Zhou; Xiao Ping Miao; Feng Jiang; Di Zhang; Jun Yang

doi:10.4028/www.scientific.net/AMR.1065-1069.2133

Paper Titles

Virtual Realization of Shaking Table Test of Structure in Sine-Swept Vibration by Multi-Support Excitation
p.2113

The Effects of Fluid Boundary Types on Flow around and Heat Transfer from an Elliptical Cylinder
p.2117

The Displacement Distribution of Plane Beam with Simply Supported under the Force Couple with Load and Thermal
p.2123

Study on the Installed Position Determination Method of the Air Condensers in High Temperature Mine
p.2129

Half-Online Identification Algorithm for Parameter Estimation of Fan Energy Consumption Model
p.2133

Natural Ventilation Design and Optimization of Large-Scale Industrial Workshop
p.2137

Numerical Simulation of Axial-Flow Fan with Adjustable Vanes in the Pant
p.2141

Experiment on the Spray Humidification System among Different Relative Humidity
p.2147

A Study on the Design Characteristics and Methods of Application of an Environment-Friendly Daylight Control System
p.2155

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1065-1069Half-Online Identification Algorithm for Parameter...

Half-Online Identification Algorithm for Parameter Estimation of Fan Energy Consumption Model

Abstract:

Concerning the salient features of components energy consumption model in air conditioning system, this paper proposes a half-online identification algorithm to estimate the parameters of the models. The algorithm monitors the error online. When the error reaches the upper limit, one-time least square estimation is used to identify the parameter and update the model by means of current data within a certain time window. Experimental studies are conducted on a fan energy consumption model, which parameters are varying in real time. The estimation results show that the algorithm can greatly reduce the computational burden and possession of resources, while ensure good estimation performance.

You might also be interested in these eBooks

Civil, Structural and Environmental Engineering III

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 1065-1069)

Pages:

2133-2136

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1065-1069.2133

Citation:

Cite this paper

Online since:

December 2014

Authors:

Xiao Feng Zhou*, Xiao Ping Miao, Feng Jiang, Di Zhang, Jun Yang

Keywords:

Air Conditioning System, Energy Consumption Model, Fan, Parameter Estimation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Shengwei Wang and Zhenjun Ma: Supervisory and optimal control of building HVAC system: a review. HVAC & R Research 14: 1(2008), pp.3-32.

DOI: 10.1080/10789669.2008.10390991

Google Scholar

[2] Gaoming Ge, Fu Xiao and Xinhua Xu: Model-based optimal control of a dedicated outdoor air-chilled ceiling system using liquid desiccant and membrane-based total heat recovery. Applied Energy 88(2011), pp.4180-4190.

DOI: 10.1016/j.apenergy.2011.04.045

Google Scholar

[3] Qiang Zhou, Shengwei Wang, Xinhua Xu and Fu Xiao: A grey-box model of next-day building thermal load prediction for energy-efficient control. Int. J. Energy Res 32(2008), pp.1418-1431.

DOI: 10.1002/er.1458

Google Scholar

[4] Song Wang: Windowed least square algorithm based PMSM parameters estimation. Mathematical Problems in Engineering. Volume 2013, Article ID 131268, 11pages.

DOI: 10.1155/2013/131268

Google Scholar