TY - JOUR
T1 - Plant-wide dynamic and static optimisation of supermarket refrigeration systems
AU - Green, Torben
AU - Izadi-Zamanabadi, Roozbeh
AU - Roozbeh, Razavi-Far
AU - Niemann, Hans Henrik
PY - 2014
Y1 - 2014
N2 - Optimising the operation of a supermarket refrigeration system under dynamic as well as steady state conditions is addressed in this paper. For this purpose an appropriate performance function that encompasses food quality, system efficiency, and also component reliability is established. The choice of setup parameters, which are necessary for system performance optimisation, depends on whether the system operates under steady state or dynamic conditions. While operating under steady state conditions, the total system performance is shown to predominantly be influenced by the suction pressure. The dynamic optimisation requires use of dedicated excitation signals. A method for designing such signals under realistic operational conditions is proposed. A derivative free optimisation technique based on Invasive Weed Optimisation (IWO) is utilised to optimise the parameters of the controllers in the system. Simulation results is used to substantiate the suggested methodology.
AB - Optimising the operation of a supermarket refrigeration system under dynamic as well as steady state conditions is addressed in this paper. For this purpose an appropriate performance function that encompasses food quality, system efficiency, and also component reliability is established. The choice of setup parameters, which are necessary for system performance optimisation, depends on whether the system operates under steady state or dynamic conditions. While operating under steady state conditions, the total system performance is shown to predominantly be influenced by the suction pressure. The dynamic optimisation requires use of dedicated excitation signals. A method for designing such signals under realistic operational conditions is proposed. A derivative free optimisation technique based on Invasive Weed Optimisation (IWO) is utilised to optimise the parameters of the controllers in the system. Simulation results is used to substantiate the suggested methodology.
KW - Control, Refrigeration Systems, Active System Monitoring, Performance Optimazation, Performance Assessment
U2 - 10.1016/j.ijrefrig.2013.08.011
DO - 10.1016/j.ijrefrig.2013.08.011
M3 - Journal article
SN - 0140-7007
VL - 38
JO - International Journal of Refrigeration
JF - International Journal of Refrigeration
ER -