Abstract
This paper proposes an application of the multivariate double-layered MPC approach in the energy-saving operation of central chiller. The model does not need to know the steady-state operating point of the system. The supply water, return water, and indoor temperature in the chiller are considered. The model predictive control method cannot only meet the cooling capacity required by the building but also improve the energy-saving efficiency of the chiller. The open-loop prediction model, the steady-state target calculation (SSTC) module, and the dynamic control module are the same as in double-layered dynamic matrix control, but its details obey the state-space method. The offset-free control is realized when the system has modeling error and unmeasurable interference by adding interference. In the case of different disturbances, the stability of the system can be guaranteed. Simulations were carried out under different solar radiation intensity, room temperature, and outdoor temperature to verify the effectiveness of the algorithm.
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Li, X., Zhang, K. (2023). Application of Multi-variable Double-Layer MPC in Energy-Saving Operation of Central Chiller. In: Park, J.S., Yang, L.T., Pan, Y., Park, J.H. (eds) Advances in Computer Science and Ubiquitous Computing. CUTECSA 2022. Lecture Notes in Electrical Engineering, vol 1028. Springer, Singapore. https://doi.org/10.1007/978-981-99-1252-0_22
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DOI: https://doi.org/10.1007/978-981-99-1252-0_22
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