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A systematic optimization and operation of central chilling systems for energy efficiency and sustainability

Conference Paper


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Abstract


  • This paper presents an optimization strategy for optimal control and operation of building

    central chilling systems in order to minimize their energy consumption and provide improved control

    performance. The strategy is formulated using a systematic approach, in which the characteristics and

    interactions among the components and subsystems in the central chilling system are considered.

    The simplified models of major components are used in the strategy as the performance predictors to

    estimate the system energy performance and responses to the changes of control settings and

    working conditions. To ensure the models to provide reliable estimates when the working condition

    changes, the model parameters are updated online using the recursive least squares (RLS)

    estimation technique. A genetic algorithm (GA) is used to solve the optimization problem and search

    for globally optimal control settings on the basis of a cost function estimator defined. The performance

    of this strategy was tested and evaluated in a simulated virtual system representing the complex

    central chilling system in a super high-rise building under various working conditions. The model

    parameter identification and performance validation as well as the performance evaluation of the

    optimization strategy are presented.

UOW Authors


Publication Date


  • 2010

Citation


  • Ma, Z. & Wang, S. (2010). A systematic optimization and operation of central chilling systems for energy efficiency and sustainability. The 6th International Conference on Improving Energy Efficiency in Commercial Buildings (IEECB’06) (pp. 1-9).

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=7919&context=engpapers

Ro Metadata Url


  • http://ro.uow.edu.au/engpapers/4988

Start Page


  • 1

End Page


  • 9

Abstract


  • This paper presents an optimization strategy for optimal control and operation of building

    central chilling systems in order to minimize their energy consumption and provide improved control

    performance. The strategy is formulated using a systematic approach, in which the characteristics and

    interactions among the components and subsystems in the central chilling system are considered.

    The simplified models of major components are used in the strategy as the performance predictors to

    estimate the system energy performance and responses to the changes of control settings and

    working conditions. To ensure the models to provide reliable estimates when the working condition

    changes, the model parameters are updated online using the recursive least squares (RLS)

    estimation technique. A genetic algorithm (GA) is used to solve the optimization problem and search

    for globally optimal control settings on the basis of a cost function estimator defined. The performance

    of this strategy was tested and evaluated in a simulated virtual system representing the complex

    central chilling system in a super high-rise building under various working conditions. The model

    parameter identification and performance validation as well as the performance evaluation of the

    optimization strategy are presented.

UOW Authors


Publication Date


  • 2010

Citation


  • Ma, Z. & Wang, S. (2010). A systematic optimization and operation of central chilling systems for energy efficiency and sustainability. The 6th International Conference on Improving Energy Efficiency in Commercial Buildings (IEECB’06) (pp. 1-9).

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=7919&context=engpapers

Ro Metadata Url


  • http://ro.uow.edu.au/engpapers/4988

Start Page


  • 1

End Page


  • 9