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Autonomous optimization and control for central plants with energy storage.

Number: pap. 3548

Author(s) : WENZEL M. J., TURNEY R. D., DREES K. H.

Summary

An economic model predictive control (MPC) framework is used to determine how to optimize the allocation of energy resources across a central energy facility including chillers, hot water generators, and thermal energy storage; present the results to an operator; and execute the plan. The objective of this MPC framework is to minimize cost in real-time in response to both real-time energy prices and demand charges as well as allow the operator to appropriately interact with the system. Operators must be given the correct intersection points in order to build trust before they are willing to turn the tool over and leave it in fully autonomous mode. Once in autonomous mode, operators need to be able to intervene and impute their knowledge of the facilities they are serving into the system without disengaging optimization.

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Pages: 10 p.

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Details

  • Original title: Autonomous optimization and control for central plants with energy storage.
  • Record ID : 30019228
  • Languages: English
  • Source: 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
  • Publication date: 2016/07/11

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