Green scheduling for energy-efficient operation of multiple chiller plants

Madhur Behl, Truong X. Nghiem, Rahul Mangharam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

In large building systems, such as a university campus, the air-conditioning systems are commonly served by chiller plants, which contribute a large fraction of the total electricity consumption of the campuses. The power consumption of a chiller is highly affected by its Coefficient of Performance (COP), which is optimal when the chiller is operated at or near full load. For a chiller plant, its overall COP can be optimized by utilizing a Thermal Energy Storage (TES) and switching its operation between COP-optimal charging and discharging modes. However, uncoordinated mode switchings of chiller plants may cause temporally-correlated high electricity demand when multiple plants are charging their TES concurrently. In this paper, a GS approach, proposed in our previous work, is used to schedule the chiller plants to reduce their peak aggregate power demand while ensuring safe operation of the TES. We present a scheduling algorithm based on backward reach set computation of the TES dynamics. The proposed algorithm is demonstrated in a numerical simulation in Mat lab to be effective for reducing the peak power demand and the overall electricity cost.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 IEEE 33rd Real-Time Systems Symposium, RTSS 2012
Pages195-204
Number of pages10
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 IEEE 33rd Real-Time Systems Symposium, RTSS 2012 - San Juan, Puerto Rico
Duration: Dec 5 2012Dec 7 2012

Publication series

NameProceedings - Real-Time Systems Symposium
ISSN (Print)1052-8725

Conference

Conference2012 IEEE 33rd Real-Time Systems Symposium, RTSS 2012
Country/TerritoryPuerto Rico
CitySan Juan
Period12/5/1212/7/12

Keywords

  • chiller COP
  • chiller scheduling
  • demand charge
  • Green Scheduling
  • peak power reduction
  • TES
  • thermal energy storage

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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