Model predictive control of central chiller plant with thermal energy storage via dynamic programming and mixed-integer linear programming
This work considers the optimal scheduling problem for a campus central plant equipped
with a bank of multiple electrical chillers and a thermal energy storage (TES). Typically, the
chillers are operated in ON/OFF modes to charge TES and supply chilled water to satisfy the
campus cooling demands. A bilinear model is established to describe the system dynamics
of the central plant. A model predictive control (MPC) problem is formulated to obtain optimal
set-points to satisfy the campus cooling demands and minimize daily electricity cost. At each …
with a bank of multiple electrical chillers and a thermal energy storage (TES). Typically, the
chillers are operated in ON/OFF modes to charge TES and supply chilled water to satisfy the
campus cooling demands. A bilinear model is established to describe the system dynamics
of the central plant. A model predictive control (MPC) problem is formulated to obtain optimal
set-points to satisfy the campus cooling demands and minimize daily electricity cost. At each …
[PDF][PDF] Model Predictive Control of Central Chiller Plant With Thermal Energy Storage Via
K Deng, Y Sun, S Li - IEEE Transactions on Automation Science and …, 2015 - academia.edu
This work considers the optimal scheduling problem for a campus central plant equipped
with a bank of multiple electrical chillers and a thermal energy storage (TES). Typically, the
chillers are operated in ON/OFF modes to charge TES and supply chilled water to satisfy the
campus cooling demands. A bilinear model is established to describe the system dynamics
of the central plant. A model predictive control (MPC) problem is formulated to obtain optimal
set-points to satisfy the campus cooling demands and minimize daily electricity cost. At each …
with a bank of multiple electrical chillers and a thermal energy storage (TES). Typically, the
chillers are operated in ON/OFF modes to charge TES and supply chilled water to satisfy the
campus cooling demands. A bilinear model is established to describe the system dynamics
of the central plant. A model predictive control (MPC) problem is formulated to obtain optimal
set-points to satisfy the campus cooling demands and minimize daily electricity cost. At each …
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