Skip to main content
SpringerLink
Log in

Intelligent Control of Heating, Ventilating and Air Conditioning Systems

  • Conference paper
Advances in Neuro-Information Processing (ICONIP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5507))

Included in the following conference series:

  • 1637 Accesses

Abstract

This paper proposed a simulation-optimization energy saving strategy for heating, ventilating and air conditioning (HVAC) systems’ condenser water loop through intelligent control of single speed cooling towers’ components. An analysis of system components has showed the interactions of control variables inside the cooling towers and between the cooling tower and chillers. Based on the analysis, a model based optimization approach was developed with evolutionary computation. A simulation application demonstrated the effectiveness of the proposed strategy. This strategy can also be easily modified and applied to single speed tools in the refrigerant loops.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alcala, R., Casillas, J., Cordon, O., Gonzalez, A., Herrera, F.: A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems. Engineering Applications of Artificial Intelligence 18, 279–296 (2005)

    Article  Google Scholar 

  2. Braun, J.E.: Methodologies for the design and control of chilled water systems. Ph.D. Thesis. University of Wisconsin (1988)

    Google Scholar 

  3. Braun, J.E., Klein, S.A., Beckman, W.A., Mitchell, J.W.: Application of optimal control to chilled water systems without storage. ASHRAE Transactions 95(1), 663–675 (1989)

    Google Scholar 

  4. Braun, J.E., Klein, S.A., Beckman, W.A., Mitchell, J.W.: Methodologies for optimal control of chilled water systems without storage. ASHRAE Transactions 95(1), 652–662 (1989)

    Google Scholar 

  5. Chang, Y.C.: A novel energy conservation method-optimal chiller loading. Electric Power Systems Research 69(3), 221–226 (2004)

    Article  MathSciNet  Google Scholar 

  6. Chow, T.T., Zhang, G.Q., Lin, Z., Song, C.L.: Global optimization of absorption chiller system by genetic algorithm and neural network. Energy and Buildings 34(1), 103–109 (2000)

    Article  Google Scholar 

  7. Fong, K.F., Hanby, V.I., Chow, T.T.: HVAC system optimization for energy management by evolutionary programming. Energy and Buildings 38, 220–231 (2006)

    Article  Google Scholar 

  8. Johnson, G.A.: Optimization techniques for a centrifugal chiller plant using a programmable controller. ASHRAE Transactions 91(2), 835–847 (1985)

    Google Scholar 

  9. Lau, A.S., Beckman, W.A., Mitchell, J.W.: Development of computer control routines for a large chilled water plant. ASHRAE Transactions 91(1), 780–791 (1985)

    Google Scholar 

  10. Lu, L., Cai, W., Chai, Y.S., Xie, L.: Global optimization for overall HVAC systems. Part I. Problem formulation and analysis. Energy Conversion and Management 46(7), 999–1014 (2005)

    Google Scholar 

  11. MQuiston, F.C., Parker, J.D., Spitler, J.D.: Heating, ventilating and air conditioning: Analysis and design, 6th edn. John Wiley, Chichester (2005)

    Google Scholar 

  12. Nabil, N., Samir, M., Mohammed, Z.: Self-tuning dynamic models of HVAC system components. In: Energy and Buildings, vol. 40, pp. 1709–1720. Elsevier, Amsterdam (2008)

    Google Scholar 

  13. Sud: Control strategies for minimum energy usage. ASHRAE Transactions 90 (2) 247–277 (1984)

    Google Scholar 

  14. Wang, S., Xu, X.: Effects of alternative control strategies of water-evaporative cooling systems on energy efficiency and plume control: A case study. Building and Environment 43, 1973–1989 (2008)

    Article  Google Scholar 

  15. Yao, Y., Lian, Z., Hou, Z., Zhou, X.: Optimal operation of a large cooling system based on an empirical model. Applied Thermal Engineering 24(16), 2303–2321 (2004)

    Article  Google Scholar 

  16. Yu, F.W., Chan, K.T.: Optimization of water-cooled chiller system with load-based speed control. In: Applied Energy, vol. 85, pp. 931–950. Elsevier, Amsterdam (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Kuching, Sarawak, Malaysia

    Patrick Low Tiong Kie

  2. School of Computing and Design, Swinburne University of Technology Sarawak Campus, Sarawak, Malaysia

    Lau Bee Theng

Authors
  1. Patrick Low Tiong Kie
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lau Bee Theng
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Network Design and Research Center, Kyushu Institute of Technology,, 680-4, Kawazu, Iizuka,, 820-8502, Fukuoka, Japan

    Mario Köppen

  2. Knowledge Engineering and Discovery Research Institute (KEDRI), School of Computing and Mathematical Sciences, Auckland University of Technology, 350 Queen Street, 10110, Auckland, New Zealand

    Nikola Kasabov

  3. Department of Electrical and Computer Engineering, Robotics Laboratory, Auckland University of Technology, 38 Princes Street,, 1142, Auckland, New Zealand

    George Coghill

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kie, P.L.T., Theng, L.B. (2009). Intelligent Control of Heating, Ventilating and Air Conditioning Systems. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03040-6_62

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03040-6_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03039-0

  • Online ISBN: 978-3-642-03040-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation