Green Scheduling for Energy-Efficient Operation of Multiple Chiller Plants

dc.contributor.authorBehl, Madhur
dc.contributor.authorNghiem, Truong
dc.contributor.authorMangharam, Rahul
dc.date2023-05-17T07:06:48.000
dc.date.accessioned2023-05-22T23:59:24Z
dc.date.available2023-05-22T23:59:24Z
dc.date.issued2012-10-01
dc.date.submitted2012-06-02T19:20:04-07:00
dc.description.abstractIn 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 technical report, a Green Scheduling 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 Matlab to be effective for reducing the peak power demand and the overall electricity cost.
dc.description.comments@INPROCEEDINGS{BehlEtAl12rtss, author = {Madhur Behl and Truong X. Nghiem and Rahul Mangharam}, title = {Green Scheduling for Energy-Efficient Operation of Multiple Chiller Plants}, booktitle = {33rd IEEE Real-Time Systems Symposium (RTSS)}, year = {2012}, address = {San Juan, Puerto Rico}, month = {December}, }
dc.identifier.urihttps://repository.upenn.edu/handle/20.500.14332/40657
dc.legacy.articleid1066
dc.legacy.fulltexturlhttps://repository.upenn.edu/cgi/viewcontent.cgi?article=1066&context=mlab_papers&unstamped=1
dc.source.issue47
dc.source.journalReal-Time and Embedded Systems Lab (mLAB)
dc.source.peerreviewedtrue
dc.source.statuspublished
dc.subject.otherEnergy efficient buildings
dc.subject.othercyber physical systems
dc.subject.otherpeak power reduction
dc.subject.othergreen scheduling
dc.subject.otherscheduling algorithms
dc.subject.othercontrol systems
dc.titleGreen Scheduling for Energy-Efficient Operation of Multiple Chiller Plants
dc.typePresentation
digcom.identifiermlab_papers/47
digcom.identifier.contextkey2930905
digcom.identifier.submissionpathmlab_papers/47
digcom.typeconference
dspace.entity.typePublication
relation.isAuthorOfPublication065d200a-5c8d-4878-82a3-9fd90ef12e37
relation.isAuthorOfPublication56860b2a-17d5-4626-ba59-518a0a524290
relation.isAuthorOfPublication3c7b38b7-1b79-42d0-b26d-5056a7251cfd
relation.isAuthorOfPublication.latestForDiscovery065d200a-5c8d-4878-82a3-9fd90ef12e37
upenn.schoolDepartmentCenterReal-Time and Embedded Systems Lab (mLAB)
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