Skip to main content
Log in

Optimization based integrated control of building HVAC system

  • Research Article
  • Building Systems and Components
  • Published:
Building Simulation Aims and scope Submit manuscript

Abstract

Improving the control strategy of building HVAC (heating, ventilation, and air-conditioning) systems can lead to significant energy savings while preserving human comfort requirements. This paper focuses on the analysis of the optimal control strategy of the whole HVAC system itself (such as set point value curves for different parts, number control curves of different components) and the followed operating curves of each equipment and device. In order to have a better understanding of the optimal control strategy, performances of the conventional control strategies widely used in China are also shown in this paper.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bertsekas DP (1995). Nonlinear Programming. New York: Athena Scientific.

    MATH  Google Scholar 

  • Braun JE (1990). Reducing energy costs and peak electrical demand through optimal control of building thermal storage. ASHRAE Transactions, 96(2): 876–888.

    Google Scholar 

  • Chow TT, Zhang GQ, Lin Z, Song CL (2002). Global optimization of absorption chiller system by genetic algorithm and neural network. Energy and Buildings, 34:103–109.

    Article  Google Scholar 

  • Congradac V, Kulic F (2009). HVAC system optimization with CO2 concentration control using genetic algorithms. Energy and Buildings, 41: 571–577.

    Article  Google Scholar 

  • DeST (2008). DeST-c User Manual. Beijing: Tsinghua University.

    Google Scholar 

  • Felsmann C, Knabe G (2001). Simulation and optimal control strategies of HVAC systems. In: Proceedings of 7th International IBPSA Conference, Rio de Janeiro, Brazil, pp.1233–1239.

    Google Scholar 

  • Flake BA (1998). Parameter estimation and optimal supervisory control of chilled water plants. PhD Dissertation, University of Wisconsin-Madison, USA.

    Google Scholar 

  • Fong KF, Hanby VI, Chow TT (2006). HVAC system optimization for energy management by evolutionary programming. Energy and Buildings, 38: 220–231.

    Article  Google Scholar 

  • Hyvärinen J, Kärki S (1996). IEA Annex 25: Building Optimization and Fault Diagnosis Source Book. Espoo, Finland: Technical Research Centre of Finland.

    Google Scholar 

  • Jin X, Ren H, Xiao X (2005). Prediction-based online optimal control of outdoor air of multi-zone VAV air conditioning systems. Energy and buildings, 37: 939–944.

    Article  Google Scholar 

  • Kintner-Meyer M, Emery AF (1995). Optimal control of an HVAC system using cold storage and building thermal capacitance. Energy and Buildings, 23: 19–31.

    Article  Google Scholar 

  • Kusiak A, Li M (2010). Cooling output optimization of an air handling unit. Applied Energy, 87: 901–909.

    Article  Google Scholar 

  • Kusiak A, Li M, Tang F (2010). Modeling and optimization of HVAC energy consumption. Applied Energy, 87: 3092–3102.

    Article  Google Scholar 

  • Kusiak A, Xu GL, Tang F (2011). Optimization of an HVAC system with a strength multi-objective particle-swarm algorithm. Energy, 36: 5935–5943.

    Article  Google Scholar 

  • Liang J, Du R (2008). Design of intelligent comfort control system with human learning and minimum power control strategies. Energy Conversion and Management, 49: 517–528.

    Article  Google Scholar 

  • Liu Y, Pan Y, Huang Z (2013). Simulation-based receding-horizon supervisory control of HVAC system. In: Proceedings of 13th International IBPSA Conference, Chambéry, France, pp.1492–1498.

    Google Scholar 

  • Lu L, Cai W, Soh YC, Xie L (2005a). Global optimization for overall HVAC systems-Part II problem solution and simulations. Energy Conversion and Management, 46: 1015–1028.

    Article  Google Scholar 

  • Lu L, Cai W, Soh YC, Xie L (2005b). Global optimization for overall HVAC systems-Part I problem formulation and analysis. Energy Conversion and Management, 46: 999–1014.

    Article  Google Scholar 

  • Ma ZJ, Wang SW (2009). An optimal control strategy for complex building chilled water systems for practical and real-time applications. Building and Environment, 44: 1188–1198.

    Article  Google Scholar 

  • Massie DD (2002). Optimization of a building’s cooling plant for operating cost and energy use. International Journal of Thermal Sciences, 41: 1121–1129.

    Article  Google Scholar 

  • Mathews EH, Botha CP, Arndt DC, Malan A (2001). HVAC control strategies to enhance comfort and minimise energy usage. Energy and Buildings, 33: 853–863.

    Article  Google Scholar 

  • Nassif N, Kajl S, Sabourin R (2005). Optimization of HVAC control system strategy using two-objective genetic algorithm. HVAC & R Research, 11: 459–486.

    Article  Google Scholar 

  • Rink RE, Li N (1995). Aggregation/disaggregation method for optimal control of multizone HVAC systems. Energy Conversion and Management, 36: 79–86.

    Article  Google Scholar 

  • Sun J, Reddy A (2005). Optimal control of building HAVA&R systems using complete simulation-based sequential quadratic programming (CSR-SQP). Building and Environment, 40: 657–669.

    Article  Google Scholar 

  • Sun Y, Huang G, Li Z, Wang S (2013). Multiplexed optimization for complex air conditioning systems. Building and Environment, 65: 99–108.

    Article  Google Scholar 

  • Waltz RA, Morales JL, Nocedal J, Orban D (2006). An interior algorithm for nonlinear optimization that combines line search and trust region steps. Mathematical Programming, 107: 391–408.

    Article  MATH  MathSciNet  Google Scholar 

  • Wang S (1999). Dynamic simulation of building VAV air-conditioning system and evaluation of EMCS on-line control strategies. Building and Environment, 34: 681–705.

    Article  Google Scholar 

  • Xue Z (2007). Energy-Saving Diagnosis and Retrofit in Existing Buildings. Beijing: China Architecture & Building Press. (in Chinese)

    Google Scholar 

  • Yan D, Xia J, Tang W, Song F, Zhang X, Jiang Y (2008). DeST-An integrated building simulation toolkit, Part 1: Fundamentals. Building Simulation, 1: 95–110.

    Article  Google Scholar 

  • Yao Y, Chen J (2010). Global optimization of a central air-conditioning system using decomposition-coordination method. Energy and Buildings, 42: 570–583.

    Article  Google Scholar 

  • Zhang X, Xia J, Jiang Z, Huang J, Qin R, Zhang Y, Liu Y, Jiang Y (2008). DeST-An integrated building simulation toolkit, Part 2: Applications. Building Simulation, 1: 193–209.

    Article  Google Scholar 

  • Zheng GR, Zaheer-Uddin M (1996). Optimization of thermal processes in a variable air volume HVAC system. Energy, 21: 407–420.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fangting Song.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, Z., Song, F., Jiang, Z. et al. Optimization based integrated control of building HVAC system. Build. Simul. 7, 375–387 (2014). https://doi.org/10.1007/s12273-014-0161-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12273-014-0161-z

Keywords

Navigation