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Large scale optimization problems for central energy facilities with distributed energy storage.

Number: pap. 3560

Author(s) : WENZEL M. J., ELBSAT M. N., ELLIS M. J., et al.

Summary

On large campuses, energy facilities are used to serve the heating and cooling needs of all the buildings, while utilizing cost savings strategies to manage operational cost. Strategies range from shifting loads to participating in utility programs that offer payouts. Among available strategies are central plant optimization, electrical energy storage, participation in utility demand response programs, and manipulating the temperature setpoints in the campus buildings. However, simultaneously optimizing all of the central plant assets, temperature setpoints and participation in utility programs can be a daunting task even for a powerful computer if the desire is real time control. In this work, a hierarchal optimization system has been created to coordinate the optimization of the central plant, the battery,
participation in demand response programs, and temperature setpoints. The required information shared by individual setpoint optimization from each program to the coordinating optimizer is given. Additionally, the common elements for any facility optimization problem are discussed. A great variety of facilities can be described with just a few components. Even without the dedicated solver, the problems can be solved in real time given this hierarchal scheme. However, the importance and wide applicability of these problems give reason to develop dedicated solvers.

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Pages: 10

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Details

  • Original title: Large scale optimization problems for central energy facilities with distributed energy storage.
  • Record ID : 30024904
  • Languages: English
  • Source: 2018 Purdue Conferences. 5th International High Performance Buildings Conference at Purdue.
  • Publication date: 2018/07/09

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