Global optimal control of variable air volume air-conditioning system with iterative learning: an experimental case study-Reference-Cited by-同舟云学术

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Global optimal control of variable air volume air-conditioning system with iterative learning: an experimental case study

Published:2015-04 Issue:4 Volume:16 Page:302-315
ISSN:1673-565X
Container-title:Journal of Zhejiang University-SCIENCE A
language:en
Short-container-title:J. Zhejiang Univ. Sci. A

Author:

Meng Qing-long,Yan Xiu-ying,Ren Qing-chang

Funder

National Natural Science Foundation of China

Special Natural Science Research Project of Shaanxi Education Bureau

Special Fund for Basic Scientific Research of Central Colleges, Chang’an University, China

Publisher

Zhejiang University Press

Subject

General Engineering

Link

http://link.springer.com/content/pdf/10.1631/jzus.A1400137.pdf

Reference29 articles.

1. Afram, A., Janabi-Sharifi, F., 2014. Review of modeling methods for HVAC systems. Applied Thermal Engineering, 67(1–2):507–519. [doi: 10.1016/j.applthermaleng.2014.03.055 ]

2. Anderson, M., Buehner, M., Young, P., et al., 2007. An experimental system for advanced heating, ventilating and air conditioning (HVAC) control. Energy and Buildings, 39(2):136–147. [doi: 10.1016/j.enbuild.2006.05.003 ]

3. Barbosa, R.M., Mendes, N., 2008. Combined simulation of central HVAC systems with a whole-building hygrothermal model.Energy & Buildings, 40(3):276–288. [doi: 10.1016/j.enbuild.2007.02.022 ]

4. Blume, P.A., 2007. The LabVIEW Style Book. Pearson Education, San Antonio, USA.

5. Cho, Y.H., Wang, G., Liu, M., 2010. Application of terminal box optimization of single-duct air-handling units. International Journal of Energy Research, 34(1):54–66. [doi: 10.1002/er.1544 ]

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